Home Publications Teaching Misc Embeded AI

Dié Wu

Associate Professor
Sichuan Normal University
wd@sicnu.edu.cn
dwu.cse@gmail.com

Embedded AI

This page curates selected papers in Embedded AI, highlighting recent research on intelligent systems for resource-constrained environments, including Embedded AI, low-power and ultra-low-power systems, and TinyML.

Papers are automatically organized into three broad categories: Efficient Model Design and Optimization, Novel Computing Architectures and Domain-Specific Accelerators, and Embedded AI Applications.

This taxonomy makes the literature easier to explore across models, systems, hardware, and application-driven embedded intelligence.

The collection is updated daily through an automated pipeline for paper gathering, filtering, and classification, so newly discovered papers can be incorporated in a structured and scalable way.

Useful Links

Awesome TinyML — A curated collection of TinyML resources, tools, tutorials, and research references.
Machine Learning on Embedded Devices — A practical reference on running machine learning workloads on embedded and resource-constrained devices.

Papers (Last Update: May 6, 2026)

Efficient Model Design and Optimization (243)

DynaTab: Dynamic Feature Ordering as Neural Rewiring for High-Dimensional Tabular Data AAAI 2026-05
GeoSAE: Geometric Prior-Guided Layer-Wise Sparse Autoencoder Annotation of Brain MRI Foundation Models CVPR 2026-05
Text-Conditional JEPA for Learning Semantically Rich Visual Representations ICML 2026-05
Toward Structural Multimodal Representations: Specialization, Selection, and Sparsification via Mixture-of-Experts ICML 2026-05
A Modular Zero-Shot Pipeline for Accident Detection, Localization, and Classification in Traffic Surveillance Video CVPR 2026-04
LP Bridging Theory and Practice in Crafting Robust Spiking Reservoirs arXiv 2026-04
LP Critical Patch-Aware Sparse Prompting with Decoupled Training for Continual Learning on the Edge CVPR 2026-04
DINO-QPM: Adapting Visual Foundation Models for Globally Interpretable Image Classification CVPR 2026-04
Distilling Genomic Models for Efficient mRNA Representation Learning via Embedding Matching ICLR 2026-04
From Selection to Scheduling: Federated Geometry-Aware Correction Makes Exemplar Replay Work Better under Continual Dynamic Heterogeneity CVPR 2026-04
PRISM: LLM-Guided Semantic Clustering for High-Precision Topics WWW 2026-04
When Do We Need LLMs? A Diagnostic for Language-Driven Bandits ICLR 2026-04
TinyML Affordable Precision Agriculture: A Deployment-Oriented Review of Low-Cost, Low-Power Edge AI and TinyML for Resource-Constrained Farming Systems arXiv 2026-03
AGFT: Alignment-Guided Fine-Tuning for Zero-Shot Adversarial Robustness of Vision-Language Models CVPR 2026-03
LP Boosting Entropy with Bell Box Quantization ICLR 2026-03
BTZSC: A Benchmark for Zero-Shot Text Classification Across Cross-Encoders, Embedding Models, Rerankers and LLMs ICLR 2026-03
Causally Robust Reward Learning from Reason-Augmented Preference Feedback ICLR 2026-03
Deep Tabular Representation Corrector TPAMI 2026-03
Design-OS: A Specification-Driven Framework for Engineering System Design with a Control-Systems Design Case DAC 2026-03
Directional Embedding Smoothing for Robust Vision Language Models ICLR 2026-03
Distilling and Adapting: A Topology-Aware Framework for Zero-Shot Interaction Prediction in Multiplex Biological Networks ICLR 2026-03
Greedy Information Projection for LLM Data Selection ICLR 2026-03
GSR-GNN: Training Acceleration and Memory-Saving Framework of Deep GNNs on Circuit Graph DAC 2026-03
Hierarchy-Guided Multimodal Representation Learning for Taxonomic Inference ICLR 2026-03
Learning Retrieval Models with Sparse Autoencoders ICLR 2026-03
One-for-All: A Lightweight Stabilized and Parameter-Efficient Pre-trained LLM for Time Series Forecasting TKDE 2026-03
TinyML Physical Design of UET-RVMCU: A Streamlined Open-Source RISC-V Microcontroller arXiv 2026-03
Quantization with Unified Adaptive Distillation to enable multi-LoRA based one-for-all Generative Vision Models on edge CVPR 2026-03
Reverse Distillation: Consistently Scaling Protein Language Model Representations ICLR 2026-03
Scaling Attention via Feature Sparsity ICLR 2026-03
SEM: Sparse Embedding Modulation for Post-Hoc Debiasing of Vision-Language Models CVPR 2026-03
Steering Sparse Autoencoder Latents to Control Dynamic Head Pruning in Vision Transformers (Student Abstract) AAAI 2026-03
ULP TrainDeeploy: Hardware-Accelerated Parameter-Efficient Fine-Tuning of Small Transformer Models at the Extreme Edge DATE 2026-03
Autoregressive Visual Decoding from EEG Signals ICLR 2026-02
CoRe-Fed: Bridging Collaborative and Representation Fairness via Federated Embedding Distillation AAAI 2026-02
Cross-Modal Redundancy and the Geometry of Vision-Language Embeddings ICLR 2026-02
Embedding Compression via Spherical Coordinates ICLR 2026-02
Enhancing Multivariate Time Series Forecasting with Global Temporal Retrieval ICLR 2026-02
Entropy-Guided Dynamic Tokens for Graph-LLM Alignment in Molecular Understanding ICLR 2026-02
Hierarchical Concept Embedding & Pursuit for Interpretable Image Classification CVPR 2026-02
LORE: Jointly Learning the Intrinsic Dimensionality and Relative Similarity Structure From Ordinal Data ICLR 2026-02
Native Reasoning Models: Training Language Models to Reason on Unverifiable Data ICLR 2026-02
PaAno: Patch-Based Representation Learning for Time-Series Anomaly Detection ICLR 2026-02
Pip-Stereo: Progressive Iterations Pruner for Iterative Optimization based Stereo Matching CVPR 2026-02
Relatron: Automating Relational Machine Learning over Relational Databases ICLR 2026-02
Self-Supervised Learning from Structural Invariance ICLR 2026-02
Sparse Additive Model Pruning for Order-Based Causal Structure Learning AAAI 2026-02
Stress-Testing Alignment Audits With Prompt-Level Strategic Deception ICLR 2026-02
The Gaussian-Head OFL Family: One-Shot Federated Learning from Client Global Statistics ICLR 2026-02
TS-Haystack: A Multi-Scale Retrieval Benchmark for Time Series Language Models ICLR 2026-02
BiPrompt: Bilateral Prompt Optimization for Visual and Textual Debiasing in Vision-Language Models AAAI 2026-01
DiffMM: Efficient Method for Accurate Noisy and Sparse Trajectory Map Matching via One Step Diffusion AAAI 2026-01
Do LLMs Benefit from User and Item Embeddings in Recommendation Tasks? NeurIPS 2026-01
LP Extractive summarization on a CMOS Ising machine arXiv 2026-01
TinyML FEATHer: Fourier-Efficient Adaptive Temporal Hierarchy Forecaster for Time-Series Forecasting TPAMI 2026-01
ParaMETA: Towards Learning Disentangled Paralinguistic Speaking Styles Representations from Speech AAAI 2026-01
REFA: Real-time Egocentric Facial Animations for Virtual Reality CVPR 2026-01
Tackling Resource-Constrained and Data-Heterogeneity in Federated Learning with Double-Weight Sparse Pack AAAI 2026-01
The Mouth is Not the Brain: Bridging Energy-Based World Models and Language Generation ICLR 2026-01
Trajectory Guard -- A Lightweight, Sequence-Aware Model for Real-Time Anomaly Detection in Agentic AI AAAI 2026-01
Coupling Experts and Routers in Mixture-of-Experts via an Auxiliary Loss ICLR 2025-12
LP Energy and Memory-Efficient Federated Learning With Ordered Layer Freezing TMC 2025-12
Exploring Deep-to-Shallow Transformable Neural Networks for Intelligent Embedded Systems TCAD 2025-12
JEPA as a Neural Tokenizer: Learning Robust Speech Representations with Density Adaptive Attention NeurIPS 2025-12
LP Link-Aware Energy-Frugal Continual Learning for Fault Detection in IoT Networks arXiv 2025-12
Near-Zero-Overhead Freshness for Recommendation Systems via Inference-Side Model Updates HPCA 2025-12
LP Online Learning Extreme Learning Machine with Low-Complexity Predictive Plasticity Rule and FPGA Implementation arXiv 2025-12
Plug-and-Play Parameter-Efficient Tuning of Embeddings for Federated Recommendation AAAI 2025-12
ReDepth Anything: Test-Time Depth Refinement via Self-Supervised Re-lighting CVPR 2025-12
Single-Round Scalable Analytic Federated Learning CVPR 2025-12
SPDMark: Selective Parameter Displacement for Robust Video Watermarking CVPR 2025-12
Towards Better Search with Domain-Aware Text Embeddings for C2C Marketplaces AAAI 2025-12
Towards Long-window Anchoring in Vision-Language Model Distillation AAAI 2025-12
TinyML WebAssembly on Resource-Constrained IoT Devices: Performance, Efficiency, and Portability arXiv 2025-12
AdamHD: Decoupled Huber Decay Regularization for Language Model Pre-Training NeurIPS 2025-11
CellStream: Dynamical Optimal Transport Informed Embeddings for Reconstructing Cellular Trajectories from Snapshots Data AAAI 2025-11
Conformal Online Learning of Deep Koopman Linear Embeddings NeurIPS 2025-11
Dataset Distillation for Pre-Trained Self-Supervised Vision Models NeurIPS 2025-11
EEGReXferNet: A Lightweight Gen-AI Framework for EEG Subspace Reconstruction via Cross-Subject Transfer Learning and Channel-Aware Embedding NeurIPS 2025-11
EGG-SR: Embedding Symbolic Equivalence into Symbolic Regression via Equality Graph ICLR 2025-11
Extracting Interaction-Aware Monosemantic Concepts in Recommender Systems AAAI 2025-11
LP FairEnergy: Contribution-Based Fairness meets Energy Efficiency in Federated Learning arXiv 2025-11
Flexible Concept Bottleneck Model AAAI 2025-11
From Static Structures to Ensembles: Studying and Harnessing Protein Structure Tokenization NeurIPS 2025-11
G-Net: A Provably Easy Construction of High-Accuracy Random Binary Neural Networks NeurIPS 2025-11
Generalizable Insights for Graph Transformers in Theory and Practice NeurIPS 2025-11
GraphKeeper: Graph Domain-Incremental Learning via Knowledge Disentanglement and Preservation NeurIPS 2025-11
TinyML Hardware-Aware YOLO Compression for Low-Power Edge AI on STM32U5 for Weeds Detection in Digital Agriculture arXiv 2025-11
Interpreting GFlowNets for Drug Discovery: Extracting Actionable Insights for Medicinal Chemistry NeurIPS 2025-11
Probabilistic Hash Embeddings for Online Learning of Categorical Features AAAI 2025-11
Prompt-Based Safety Guidance Is Ineffective for Unlearned Text-to-Image Diffusion Models NeurIPS 2025-11
ReCast: Reliability-aware Codebook Assisted Lightweight Time Series Forecasting AAAI 2025-11
RoSA: Enhancing Parameter-Efficient Fine-Tuning via RoPE-aware Selective Adaptation in Large Language Models AAAI 2025-11
Sketch-Augmented Features Improve Learning Long-Range Dependencies in Graph Neural Networks NeurIPS 2025-11
Sparse Methods for Vector Embeddings of TPC Data NeurIPS 2025-11
STAMP: Spatial-Temporal Adapter with Multi-Head Pooling NeurIPS 2025-11
Test-Time Spectrum-Aware Latent Steering for Zero-Shot Generalization in Vision-Language Models NeurIPS 2025-11
Towards Effective, Stealthy, and Persistent Backdoor Attacks Targeting Graph Foundation Models AAAI 2025-11
Towards Leveraging Sequential Structure in Animal Vocalizations NeurIPS 2025-11
UME-R1: Exploring Reasoning-Driven Generative Multimodal Embeddings ICLR 2025-11
UniGame: Turning a Unified Multimodal Model Into Its Own Adversary CVPR 2025-11
Visual Exploration of Feature Relationships in Sparse Autoencoders with Curated Concepts NeurIPS 2025-11
BADiff: Bandwidth Adaptive Diffusion Model NeurIPS 2025-10
Breaking the MoE LLM Trilemma: Dynamic Expert Clustering with Structured Compression ICML 2025-10
Distilled Decoding 2: One-step Sampling of Image Auto-regressive Models with Conditional Score Distillation NeurIPS 2025-10
Efficient Discriminative Joint Encoders for Large Scale Vision-Language Reranking ICLR 2025-10
Failure Prediction at Runtime for Generative Robot Policies NeurIPS 2025-10
Inductive Transfer Learning for Graph-Based Recommenders NeurIPS 2025-10
Learning Task-Agnostic Representations through Multi-Teacher Distillation NeurIPS 2025-10
Locality-Sensitive Hashing-Based Efficient Point Transformer for Charged Particle Reconstruction NeurIPS 2025-10
Mass Conservation on Rails -- Rethinking Physics-Informed Learning of Ice Flow Vector Fields NeurIPS 2025-10
Mixed Monotonicity Reachability Analysis of Neural ODE: A Trade-Off Between Tightness and Efficiency NeurIPS 2025-10
Multi-Task Vehicle Routing Solver via Mixture of Specialized Experts under State-Decomposable MDP NeurIPS 2025-10
NeurIPT: Foundation Model for Neural Interfaces NeurIPS 2025-10
On-the-Fly OVD Adaptation with FLAME: Few-shot Localization via Active Marginal-Samples Exploration AAAI 2025-10
LP PlatformX: An End-to-End Transferable Platform for Energy-Efficient Neural Architecture Search arXiv 2025-10
ProofBridge: Auto-Formalization of Natural Language Proofs in Lean via Joint Embeddings ICLR 2025-10
RESCUE: Retrieval Augmented Secure Code Generation ICLR 2025-10
Scaling Image Geo-Localization to Continent Level NeurIPS 2025-10
Self-supervised Synthetic Pretraining for Inference of Stellar Mass Embedded in Dense Gas NeurIPS 2025-10
Shortcutting Pre-trained Flow Matching Diffusion Models is Almost Free Lunch NeurIPS 2025-10
SwiftTS: A Swift Selection Framework for Time Series Pre-trained Models via Multi-task Meta-Learning ICLR 2025-10
Thompson Sampling via Fine-Tuning of LLMs ICLR 2025-10
VIPAMIN: Visual Prompt Initialization via Embedding Selection and Subspace Expansion NeurIPS 2025-10
CURE: Controlled Unlearning for Robust Embeddings -- Mitigating Conceptual Shortcuts in Pre-Trained Language Models EMNLP 2025-09
TinyML Decentor-V: Lightweight ML Training on Low-Power RISC-V Edge Devices arXiv 2025-09
LP Dendritic Resonate-and-Fire Neuron for Effective and Efficient Long Sequence Modeling arXiv 2025-09
DRAG: Data Reconstruction Attack using Guided Diffusion ICML 2025-09
Learning Hyperspectral Images with Curated Text Prompts for Efficient Multimodal Alignment ICCV 2025-09
LP MaRVIn: A Cross-Layer Mixed-Precision RISC-V Framework for DNN Inference, from ISA Extension to Hardware Acceleration TCAD 2025-09
Quantum Noise Tomography with Physics-Informed Neural Networks NeurIPS 2025-09
Soft-Di[M]O: Improving One-Step Discrete Image Generation with Soft Embeddings ICLR 2025-09
LP Spiking Vocos: An Energy-Efficient Neural Vocoder arXiv 2025-09
StableGuard: Towards Unified Copyright Protection and Tamper Localization in Latent Diffusion Models NeurIPS 2025-09
Structural Information-based Hierarchical Diffusion for Offline Reinforcement Learning NeurIPS 2025-09
The Transparent Earth: A Multimodal Foundation Model for the Earth's Subsurface NeurIPS 2025-09
Uni-NTFM: A Unified Foundation Model for EEG Signal Representation Learning ICLR 2025-09
Unsupervised Conformal Inference: Bootstrapping and Alignment to Control LLM Uncertainty ICLR 2025-09
CognitiveArm: Enabling Real-Time EEG-Controlled Prosthetic Arm Using Embodied Machine Learning DAC 2025-08
CRAM: Large-scale Video Continual Learning with Bootstrapped Compression ICCV 2025-08
DQT: Dynamic Quantization Training via Dequantization-Free Nested Integer Arithmetic AAAI 2025-08
Efficient Methods for Accurate Sparse Trajectory Recovery and Map Matching ICDE 2025-08
LP Energy-Efficient Federated Learning for Edge Real-Time Vision via Joint Data, Computation, and Communication Design arXiv 2025-08
LP FedUHD: Unsupervised Federated Learning using Hyperdimensional Computing arXiv 2025-08
Optimal Subspace Embeddings: Resolving Nelson-Nguyen Conjecture Up to Sub-Polylogarithmic Factors SODA 2025-08
Probing the Representational Power of Sparse Autoencoders in Vision Models ICCV 2025-08
Soft Separation and Distillation: Toward Global Uniformity in Federated Unsupervised Learning ICCV 2025-08
LP Spatio-Temporal Pruning for Compressed Spiking Large Language Models arXiv 2025-08
LP Towards Heterogeneity-Aware and Energy-Efficient Topology Optimization for Decentralized Federated Learning in Edge Environment arXiv 2025-08
A Random Matrix Theory Perspective on the Learning Dynamics of Multi-head Latent Attention ICML 2025-07
LP Coflex: Enhancing HW-NAS with Sparse Gaussian Processes for Efficient and Scalable DNN Accelerator Design ICCAD 2025-07
TinyML Design and Implementation of a Lightweight Object Detection System for Resource-Constrained Edge Environments arXiv 2025-07
ULP Edge-ASR: Towards Low-Bit Quantization of Automatic Speech Recognition Models arXiv 2025-07
Geometry of Neural Reinforcement Learning in Continuous State and Action Spaces ICLR 2025-07
Hashed Watermark as a Filter: Defeating Forging and Overwriting Attacks in Weight-based Neural Network Watermarking AAAI 2025-07
IMAIA: Interactive Maps AI Assistant for Travel Planning and Geo-Spatial Intelligence CVPR 2025-07
Learning Representations of Event Time Series with Sparse Autoencoders for Anomaly Detection, Similarity Search, and Unsupervised Classification ICML 2025-07
Leveraging the Structure of Medical Data for Improved Representation Learning ICML 2025-07
LP Lightweight Deep Learning-Based Channel Estimation for RIS-Aided Extremely Large-Scale MIMO Systems on Resource-Limited Edge Devices arXiv 2025-07
StreamDiT: Real-Time Streaming Text-to-Video Generation CVPR 2025-07
TeEFusion: Blending Text Embeddings to Distill Classifier-Free Guidance ICCV 2025-07
TinyML UnIT: Scalable Unstructured Inference-Time Pruning for MAC-efficient Neural Inference on MCUs SenSys 2025-07
Align-then-Unlearn: Embedding Alignment for LLM Unlearning ICML 2025-06
Compress, Gather, and Recompute: REFORMing Long-Context Processing in Transformers NeurIPS 2025-06
FF-INT8: Efficient Forward-Forward DNN Training on Edge Devices with INT8 Precision DAC 2025-06
LP Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence arXiv 2025-06
Less is More: Local Intrinsic Dimensions of Contextual Language Models NeurIPS 2025-06
Meta-Adaptive Prompt Distillation for Few-Shot Visual Question Answering ICLR 2025-06
Multi-Step Guided Diffusion for Image Restoration on Edge Devices: Toward Lightweight Perception in Embodied AI CVPR 2025-06
MuseControlLite: Multifunctional Music Generation with Lightweight Conditioners ICML 2025-06
POCO: Scalable Neural Forecasting through Population Conditioning NeurIPS 2025-06
Robust Noise Attenuation via Adaptive Pooling of Transformer Outputs ICML 2025-06
SCISSOR: Mitigating Semantic Bias through Cluster-Aware Siamese Networks for Robust Classification ICML 2025-06
ShotBench: Expert-Level Cinematic Understanding in Vision-Language Models NeurIPS 2025-06
Sysformer: Safeguarding Frozen Large Language Models with Adaptive System Prompts ICLR 2025-06
LP TensorSLM: Energy-efficient Embedding Compression of Sub-billion Parameter Language Models on Low-end Devices ICML 2025-06
zip2zip: Inference-Time Adaptive Tokenization via Online Compression NeurIPS 2025-06
A Cross Modal Knowledge Distillation & Data Augmentation Recipe for Improving Transcriptomics Representations through Morphological Features ICML 2025-05
LP AccLLM: Accelerating Long-Context LLM Inference Via Algorithm-Hardware Co-Design arXiv 2025-05
Autoencoding Random Forests NeurIPS 2025-05
CMoS: Rethinking Time Series Prediction Through the Lens of Chunk-wise Spatial Correlations ICML 2025-05
Corruption-Aware Training of Latent Video Diffusion Models for Robust Text-to-Video Generation ICLR 2025-05
LP Deep Unfolding with Kernel-based Quantization in MIMO Detection ICML 2025-05
Ditch the Denoiser: Emergence of Noise Robustness in Self-Supervised Learning from Data Curriculum NeurIPS 2025-05
TinyML DPQ-HD: Post-Training Compression for Ultra-Low Power Hyperdimensional Computing arXiv 2025-05
Efficient Motion Prompt Learning for Robust Visual Tracking ICML 2025-05
FRAMES-VQA: Benchmarking Fine-Tuning Robustness across Multi-Modal Shifts in Visual Question Answering CVPR 2025-05
Interpreting Large Text-to-Image Diffusion Models with Dictionary Learning CVPR 2025-05
On the generalization of language models from in-context learning and finetuning: a controlled study NeurIPS 2025-05
Personalized Subgraph Federated Learning with Differentiable Auxiliary Projections NeurIPS 2025-05
QLIP: A Dynamic Quadtree Vision Prior Enhances MLLM Performance Without Retraining ICLR 2025-05
Self-Organizing Visual Prototypes for Non-Parametric Representation Learning ICML 2025-05
SinBasis Networks: Matrix-Equivalent Feature Extraction for Wave-Like Optical Spectrograms AAAI 2025-05
Token Distillation: Attention-aware Input Embeddings For New Tokens ICLR 2025-05
Towards Effective Federated Graph Foundation Model via Mitigating Knowledge Entanglement NeurIPS 2025-05
TSPulse: Tiny Pre-Trained Models with Disentangled Representations for Rapid Time-Series Analysis ICLR 2025-05
ZEUS: Zero-shot Embeddings for Unsupervised Separation of Tabular Data NeurIPS 2025-05
AutoJudge: Judge Decoding Without Manual Annotation NeurIPS 2025-04
Conditional Distribution Compression via the Kernel Conditional Mean Embedding NeurIPS 2025-04
Don't Lag, RAG: Training-Free Adversarial Detection Using RAG ICML 2025-04
LP EPSILON: Adaptive Fault Mitigation in Approximate Deep Neural Network using Statistical Signatures IJCNN 2025-04
FBRT-YOLO: Faster and Better for Real-Time Aerial Image Detection AAAI 2025-04
Hierarchical Vector Quantized Graph Autoencoder with Annealing-Based Code Selection WWW 2025-04
Hogwild! Inference: Parallel LLM Generation via Concurrent Attention NeurIPS 2025-04
MDP: Multidimensional Vision Model Pruning with Latency Constraint CVPR 2025-04
TinyML Neural Signal Compression using RAMAN tinyML Accelerator for BCI Applications arXiv 2025-04
RadarLLM: Empowering Large Language Models to Understand Human Motion from Millimeter-Wave Point Cloud Sequence AAAI 2025-04
ReSpec: Relevance and Specificity Grounded Online Filtering for Learning on Video-Text Data Streams CVPR 2025-04
sEEG-based Encoding for Sentence Retrieval: A Contrastive Learning Approach to Brain-Language Alignment CVPR 2025-04
Beyond QA Pairs: Assessing Parameter-Efficient Fine-Tuning for Fact Embedding in LLMs AAAI 2025-03
CalliReader: Contextualizing Chinese Calligraphy via an Embedding-Aligned Vision-Language Model ICCV 2025-03
GENIUS: A Generative Framework for Universal Multimodal Search CVPR 2025-03
How can representation dimension dominate structurally pruned LLMs? ICLR 2025-03
How Low Can You Go? Searching for the Intrinsic Dimensionality of Complex Networks using Metric Node Embeddings ICLR 2025-03
LoRACode: LoRA Adapters for Code Embeddings ICLR 2025-03
Not Only Text: Exploring Compositionality of Visual Representations in Vision-Language Models CVPR 2025-03
LP Regularization-based Framework for Quantization-, Fault- and Variability-Aware Training NeurIPS 2025-03
Rethinking Few-Shot Adaptation of Vision-Language Models in Two Stages CVPR 2025-03
Semantic Shift Estimation via Dual-Projection and Classifier Reconstruction for Exemplar-Free Class-Incremental Learning ICML 2025-03
Steer LLM Latents for Hallucination Detection ICML 2025-03
LP VocalEyes: Enhancing Environmental Perception for the Visually Impaired through Vision-Language Models and Distance-Aware Object Detection arXiv 2025-03
VQToken: Neural Discrete Token Representation Learning for Extreme Token Reduction in Video Large Language Models NeurIPS 2025-03
Beautiful Images, Toxic Words: Understanding and Addressing Offensive Text in Generated Images AAAI 2025-02
Beyond Worst-Case Dimensionality Reduction for Sparse Vectors ICLR 2025-02
CLIP Behaves like a Bag-of-Words Model Cross-modally but not Uni-modally ICLR 2025-02
Cramming 1568 Tokens into a Single Vector and Back Again: Exploring the Limits of Embedding Space Capacity ACL 2025-02
DeepRTL: Bridging Verilog Understanding and Generation with a Unified Representation Model ICLR 2025-02
How Contaminated Is Your Benchmark? Quantifying Dataset Leakage in Large Language Models with Kernel Divergence ICML 2025-02
LP Huff-LLM: End-to-End Lossless Compression for Efficient LLM Inference arXiv 2025-02
Improving Representation Learning of Complex Critical Care Data with ICU-BERT AAAI 2025-02
TinyML On-device edge learning for IoT data streams: a survey arXiv 2025-02
Summaries as Centroids for Interpretable and Scalable Text Clustering ICLR 2025-02
vCache: Verified Semantic Prompt Caching ICLR 2025-02
A Plug-and-Play Bregman ADMM Module for Inferring Event Branches in Temporal Point Processes AAAI 2025-01
LP Atleus: Accelerating Transformers on the Edge Enabled by 3D Heterogeneous Manycore Architectures TCAD 2025-01
Disentangling Safe and Unsafe Corruptions via Anisotropy and Locality CVPR 2025-01
Enhancing Foundation Models in Transaction Understanding with LLM-based Sentence Embeddings EMNLP 2025-01
Rethinking Addressing in Language Models via Contexualized Equivariant Positional Encoding ICML 2025-01
Rethinking Byzantine Robustness in Federated Recommendation from Sparse Aggregation Perspective AAAI 2025-01
Tensor Product Attention Is All You Need NeurIPS 2025-01
Text-Diffusion Red-Teaming of Large Language Models: Unveiling Harmful Behaviors with Proximity Constraints AAAI 2025-01
Uncertainty-aware Knowledge Tracing AAAI 2025-01
Vision Transformer Neural Architecture Search for Out-of-Distribution Generalization: Benchmark and Insights NeurIPS 2025-01

Novel Computing Architectures and Domain-Specific Accelerators (39)

TinyML Full Feature Spiking Neural Network Simulation on Micro-Controllers for Neuromorphic Applications at the Edge arXiv 2026-04
ULP Towards Green Wearable Computing: A Physics-Aware Spiking Neural Network for Energy-Efficient IMU-based Human Activity Recognition arXiv 2026-04
LP An FPGA-Based SoC Architecture with a RISC-V Controller for Energy-Efficient Temporal-Coding Spiking Neural Networks arXiv 2026-03
CPUBone: Efficient Vision Backbone Design for Devices with Low Parallelization Capabilities CVPR 2026-03
TinyML Energy Efficient Software Hardware CoDesign for Machine Learning: From TinyML to Large Language Models ASPLOS 2026-03
LP Neuronal Self-Adaptation Enhances Capacity and Robustness of Representation in Spiking Neural Networks arXiv 2026-03
TinyML TinyVLM: Zero-Shot Object Detection on Microcontrollers via Vision-Language Distillation with Matryoshka Embeddings arXiv 2026-03
TRINE: A Token-Aware, Runtime-Adaptive FPGA Inference Engine for Multimodal AI DAC 2026-03
LP DARTH-PUM: A Hybrid Processing-Using-Memory Architecture ASPLOS 2026-02
ULP Energy-Efficient Neuromorphic Computing for Edge AI: A Framework with Adaptive Spiking Neural Networks and Hardware-Aware Optimization TNNLS 2026-02
LP MING: An Automated CNN-to-Edge MLIR HLS framework arXiv 2026-02
LP DS-CIM: Digital Stochastic Computing-In-Memory Featuring Accurate OR-Accumulation via Sample Region Remapping for Edge AI Models DATE 2026-01
LP Physics-Informed Spiking Neural Networks via Conservative Flux Quantization arXiv 2025-11
LP Real-time Continual Learning on Intel Loihi 2 arXiv 2025-11
LP T-SAR: A Full-Stack Co-design for CPU-Only Ternary LLM Inference via In-Place SIMD ALU Reorganization DATE 2025-11
LP A Compact, Low Power Transprecision ALU for Smart Edge Devices arXiv 2025-10
LP A Complete Pipeline for deploying SNNs with Synaptic Delays on Loihi 2 arXiv 2025-10
LP Sequencing on Silicon: AI SoC Design for Mobile Genomics at the Edge arXiv 2025-10
LP Application of Machine Learning for Correcting Defect-induced Neuromorphic Circuit Inference Errors arXiv 2025-09
LP COMET: A Framework for Modeling Compound Operation Dataflows with Explicit Collectives arXiv 2025-09
ULP An ultra-low-power CGRA for accelerating Transformers at the edge arXiv 2025-07
LP Neuromorphic Wireless Split Computing with Resonate-and-Fire Neurons arXiv 2025-06
Spark Transformer: Reactivating Sparsity in FFN and Attention NeurIPS 2025-06
TinyML Benchmarking Energy and Latency in TinyML: A Novel Method for Resource-Constrained AI IJCNN 2025-05
BrainOmni: A Brain Foundation Model for Unified EEG and MEG Signals NeurIPS 2025-05
LP CIM-NET: A Video Denoising Deep Neural Network Model Optimized for Computing-in-Memory Architectures arXiv 2025-05
LP Neuromorphic Mimicry Attacks Exploiting Brain-Inspired Computing for Covert Cyber Intrusions arXiv 2025-05
LP COBRA: Algorithm-Architecture Co-optimized Binary Transformer Accelerator for Edge Inference arXiv 2025-04
LP Dynamic Tsetlin Machine Accelerators for On-Chip Training at the Edge using FPGAs arXiv 2025-04
LP Empowering Vector Architectures for ML: The CAMP Architecture for Matrix Multiplication arXiv 2025-04
ULP Enabling Efficient Processing of Spiking Neural Networks with On-Chip Learning on Commodity Neuromorphic Processors for Edge AI Systems IJCNN 2025-04
LP TeLLMe: An Energy-Efficient Ternary LLM Accelerator for Prefilling and Decoding on Edge FPGAs arXiv 2025-04
LP A Reconfigurable Stream-Based FPGA Accelerator for Bayesian Confidence Propagation Neural Networks arXiv 2025-03
Replay4NCL: An Efficient Memory Replay-based Methodology for Neuromorphic Continual Learning in Embedded AI Systems DAC 2025-03
Scaling Embedding Layers in Language Models NeurIPS 2025-02
LP CHIME: Chiplet-based Heterogeneous Near-Memory Acceleration for Edge Multimodal LLM Inference arXiv 2025-01
LP EXION: Exploiting Inter- and Intra-Iteration Output Sparsity for Diffusion Models HPCA 2025-01
Leveraging ASIC AI Chips for Homomorphic Encryption HPCA 2025-01
TinyML PUFBind: PUF-Enabled Lightweight Program Binary Authentication for FPGA-based Embedded Systems arXiv 2025-01

Embedded AI Applications (492)

HELIX: Hybrid Encoding with Learnable Identity and Cross-dimensional Synthesis for Time Series Imputation ICML 2026-05
MEMSAD: Gradient-Coupled Anomaly Detection for Memory Poisoning in Retrieval-Augmented Agents NeurIPS 2026-05
Provable Accuracy Collapse in Embedding-Based Representations under Dimensionality Mismatch ICML 2026-05
Biologically-Grounded Multi-Encoder Architectures as Developability Oracles for Antibody Design ICLR 2026-04
TinyML BioTrain: Sub-MB, Sub-50mW On-Device Fine-Tuning for Edge-AI on Biosignals arXiv 2026-04
Embedding-Only Uplink for Onboard Retrieval Under Shift in Remote Sensing ICLR 2026-04
Event Embedding of Protein Networks : Compositional Learning of Biological Function ICLR 2026-04
TinyML Extracting Exact Lie Derivatives Without Backpropagation: A Dual Compiler for Neural Control Barrier Functions arXiv 2026-04
Featurising Pixels from Dynamic 3D Scenes with Linear In-Context Learners CVPR 2026-04
Hierarchical Pre-Training of Vision Encoders with Large Language Models CVPR 2026-04
IKKA: Inversion Classification via Critical Anomalies for Robust Visual Servoing NeurIPS 2026-04
Leave My Images Alone: Preventing Multi-Modal Large Language Models from Analyzing Images via Visual Prompt Injection ACL 2026-04
LLM-Guided Semantic Bootstrapping for Interpretable Text Classification with Tsetlin Machines ACL 2026-04
LP Physical Foundation Models: Fixed hardware implementations of large-scale neural networks arXiv 2026-04
Ramen: Robust Test-Time Adaptation of Vision-Language Models with Active Sample Selection CVPR 2026-04
Rethinking Satellite Image Restoration for Onboard AI: A Lightweight Learning-Based Approach CVPR 2026-04
Semantic Intent Fragmentation: A Single-Shot Compositional Attack on Multi-Agent AI Pipelines AAAI 2026-04
Understanding and Improving Continuous Adversarial Training for LLMs via In-context Learning Theory ICLR 2026-04
Verify Before You Fix: Agentic Execution Grounding for Trustworthy Cross-Language Code Analysis NeurIPS 2026-04
Aligning the True Semantics: Constrained Decoupling and Distribution Sampling for Cross-Modal Alignment AAAI 2026-03
Asymptotic and Finite-Time Guarantees for Langevin-Based Temperature Annealing in InfoNCE NeurIPS 2026-03
Beyond Linearity in Attention Projections: The Case for Nonlinear Queries ICLR 2026-03
Can Blindfolded LLMs Still Trade? An Anonymization-First Framework for Portfolio Optimization ICLR 2026-03
Conformal Cross-Modal Active Learning CVPR 2026-03
Digging Deeper: Learning Multi-Level Concept Hierarchies ICLR 2026-03
Drive My Way: Preference Alignment of Vision-Language-Action Model for Personalized Driving CVPR 2026-03
Ego: Embedding-Guided Personalization of Vision-Language Models CVPR 2026-03
TinyML Embedded Model Predictive Control for EMS-type Maglev Vehicles arXiv 2026-03
Frayed RoPE and Long Inputs: A Geometric Perspective ICLR 2026-03
From Pixels to Patches: Pooling Strategies for Earth Embeddings ICLR 2026-03
LP Generative Inverse Design of Cold Metals for Low-Power Electronics arXiv 2026-03
I Can't Believe It's Not Robust: Catastrophic Collapse of Safety Classifiers under Embedding Drift ICLR 2026-03
Invisible Safety Threat: Malicious Finetuning for LLM via Steganography ICLR 2026-03
Learning to Recall with Transformers Beyond Orthogonal Embeddings ICLR 2026-03
Light Cones For Vision: Simple Causal Priors For Visual Hierarchy ICLR 2026-03
MITRA: An AI Assistant for Knowledge Retrieval in Physics Collaborations NeurIPS 2026-03
Neural Latent Arbitrary Lagrangian-Eulerian Grids for Fluid-Solid Interaction ICLR 2026-03
No Hard Negatives Required: Concept Centric Learning Leads to Compositionality without Degrading Zero-shot Capabilities of Contrastive Models CVPR 2026-03
Offline Decision Transformers for Neural Combinatorial Optimization: Surpassing Heuristics on the Traveling Salesman Problem NeurIPS 2026-03
On the Generalization Capacities of MLLMs for Spatial Intelligence ICLR 2026-03
Physical Simulator In-the-Loop Video Generation CVPR 2026-03
RADAR: Learning to Route with Asymmetry-aware DistAnce Representations ICLR 2026-03
Rel-Zero: Harnessing Patch-Pair Invariance for Robust Zero-Watermarking Against AI Editing CVPR 2026-03
Representation Learning for Spatiotemporal Physical Systems ICLR 2026-03
Rethinking Code Similarity for Automated Algorithm Design with LLMs ICLR 2026-03
Retrieval-Augmented Generation for Predicting Cellular Responses to Gene Perturbation ICLR 2026-03
Scalable Object Relation Encoding for Better 3D Spatial Reasoning in Large Language Models CVPR 2026-03
SLNet: A Super-Lightweight Geometry-Adaptive Network for 3D Point Cloud Recognition ICRA 2026-03
Soft Equivariance Regularization for Invariant Self-Supervised Learning ICLR 2026-03
LP SPARQ: Spiking Early-Exit Neural Networks for Energy-Efficient Edge AI arXiv 2026-03
TinyML SPECTRA: An Efficient Spectral-Informed Neural Network for Sensor-Based Activity Recognition arXiv 2026-03
STEM Faculty Perspectives on Generative AI in Higher Education AAAI 2026-03
Unified Vision-Language Modeling via Concept Space Alignment ICLR 2026-03
A logical re-conception of neural networks: Hamiltonian bitwise part-whole architecture AAAI 2026-02
AP-OOD: Attention Pooling for Out-of-Distribution Detection ICLR 2026-02
Building Interpretable Models for Moral Decision-Making AAAI 2026-02
Characterizing Human Semantic Navigation in Concept Production as Trajectories in Embedding Space ICLR 2026-02
TinyML Contrastive Continual Learning for Model Adaptability in Internet of Things arXiv 2026-02
Dense Feature Learning via Linear Structure Preservation in Medical Data ICLR 2026-02
Hierarchical Concept-based Interpretable Models ICLR 2026-02
Improving Set Function Approximation with Quasi-Arithmetic Neural Networks ICLR 2026-02
Kernelized Edge Attention: Addressing Semantic Attention Blurring in Temporal Graph Neural Networks AAAI 2026-02
MultiModalPFN: Extending Prior-Data Fitted Networks for Multimodal Tabular Learning CVPR 2026-02
MuViT: Multi-Resolution Vision Transformers for Learning Across Scales in Microscopy CVPR 2026-02
LP On Electric Vehicle Energy Demand Forecasting and the Effect of Federated Learning arXiv 2026-02
Privacy in Image Datasets: A Case Study on Pregnancy Ultrasounds AAAI 2026-02
Probing Neural TSP Representations for Prescriptive Decision Support ICML 2026-02
Realistic Face Reconstruction from Facial Embeddings via Diffusion Models AAAI 2026-02
Realistic Synthetic Household Data Generation at Scale AAAI 2026-02
RecoverMark: Robust Watermarking for Localization and Recovery of Manipulated Faces CVPR 2026-02
Refine Now, Query Fast: A Decoupled Refinement Paradigm for Implicit Neural Fields ICLR 2026-02
Toward Universal and Transferable Jailbreak Attacks on Vision-Language Models ICLR 2026-02
Trust in One Round: Confidence Estimation for Large Language Models via Structural Signals WWW 2026-02
A Scalable Inter-edge Correlation Modeling in CopulaGNN for Link Sign Prediction ICLR 2026-01
AbductiveMLLM: Boosting Visual Abductive Reasoning Within MLLMs AAAI 2026-01
TinyML Ageing Monitoring for Commercial Microcontrollers Based on Timing Windows arXiv 2026-01
Attention-Informed Surrogates for Navigating Power-Performance Trade-offs in HPC NeurIPS 2026-01
CHDP: Cooperative Hybrid Diffusion Policies for Reinforcement Learning in Parameterized Action Space AAAI 2026-01
Circuit Mechanisms for Spatial Relation Generation in Diffusion Transformers CVPR 2026-01
TinyML Design and Quantitative Evaluation of an Embedded EEG Instrumentation Platform for Real-Time SSVEP Decoding arXiv 2026-01
Enginuity: Building an Open Multi-Domain Dataset of Complex Engineering Diagrams NeurIPS 2026-01
Forget Less by Learning from Parents Through Hierarchical Relationships AAAI 2026-01
HEEGNet: Hyperbolic Embeddings for EEG ICLR 2026-01
HGATSolver: A Heterogeneous Graph Attention Solver for Fluid-Structure Interaction AAAI 2026-01
LendNova: Towards Automated Credit Risk Assessment with Language Models AAAI 2026-01
Leveraging Data to Say No: Memory Augmented Plug-and-Play Selective Prediction ICLR 2026-01
Membership Inference Test: Auditing Training Data in Object Classification Models AAAI 2026-01
Optimal Transport-Induced Samples against Out-of-Distribution Overconfidence ICLR 2026-01
Projected Autoregression: Autoregressive Language Generation in Continuous State Space NeurIPS 2026-01
Riemannian Zeroth-Order Gradient Estimation with Structure-Preserving Metrics for Geodesically Incomplete Manifolds ICLR 2026-01
Structurally Human, Semantically Biased: Detecting LLM-Generated References with Embeddings and GNNs ICLR 2026-01
Structure-based RNA Design by Step-wise Optimization of Latent Diffusion Model AAAI 2026-01
Task Prototype-Based Knowledge Retrieval for Multi-Task Learning from Partially Annotated Data AAAI 2026-01
Tensor-DTI: Enhancing Biomolecular Interaction Prediction with Contrastive Embedding Learning ICLR 2026-01
LP TimeGNN-Augmented Hybrid-Action MARL for Fine-Grained Task Partitioning and Energy-Aware Offloading in MEC arXiv 2026-01
TinyML TinyML-Enabled IoT for Sustainable Precision Irrigation arXiv 2026-01
Vehicle Routing with Finite Time Horizon using Deep Reinforcement Learning with Improved Network Embedding AAAI 2026-01
ASCIIBench: Evaluating Language-Model-Based Understanding of Visually-Oriented Text NeurIPS 2025-12
Directional Textual Inversion for Personalized Text-to-Image Generation ICLR 2025-12
Elastic Weight Consolidation for Knowledge Graph Continual Learning: An Empirical Evaluation NeurIPS 2025-12
Feature-Centric Unsupervised Node Representation Learning Without Homophily Assumption AAAI 2025-12
LP Hierarchical Task Offloading and Trajectory Optimization in Low-Altitude Intelligent Networks Via Auction and Diffusion-based MARL arXiv 2025-12
HiFi-RAG: Hierarchical Content Filtering and Two-Pass Generation for Open-Domain RAG NeurIPS 2025-12
Hyperbolic Continuous Structural Entropy for Hierarchical Clustering AAAI 2025-12
In-Context Algebra ICLR 2025-12
Know Thyself by Knowing Others: Learning Neuron Identity from Population Context NeurIPS 2025-12
Knowledge-Guided Masked Autoencoder with Linear Spectral Mixing and Spectral-Angle-Aware Reconstruction AAAI 2025-12
Leveraging Foundational Models and Simple Fusion for Multi-modal Physiological Signal Analysis NeurIPS 2025-12
LUCID: Learning-Enabled Uncertainty-Aware Certification of Stochastic Dynamical Systems AAAI 2025-12
MASFIN: A Multi-Agent System for Decomposed Financial Reasoning and Forecasting NeurIPS 2025-12
Masked Symbol Modeling for Demodulation of Oversampled Baseband Communication Signals in Impulsive Noise-Dominated Channels NeurIPS 2025-12
On the Hardness of Conditional Independence Testing In Practice NeurIPS 2025-12
Perch 2.0 transfers 'whale' to underwater tasks NeurIPS 2025-12
See, Hear, and Understand: Benchmarking Audiovisual Human Speech Understanding in Multimodal Large Language Models CVPR 2025-12
Semantic search for 100M+ galaxy images using AI-generated captions NeurIPS 2025-12
Task Matrices: Linear Maps for Cross-Model Finetuning Transfer NeurIPS 2025-12
Theory of Mind for Explainable Human-Robot Interaction AAAI 2025-12
TinyML Time-Series at the Edge: Tiny Separable CNNs for Wearable Gait Detection and Optimal Sensor Placement arXiv 2025-12
Understanding and Improving Hyperbolic Deep Reinforcement Learning ICLR 2025-12
TinyML Wireless Center of Pressure Feedback System for Humanoid Robot Balance Control using ESP32-C3 arXiv 2025-12
Zero-Training Temporal Drift Detection for Transformer Sentiment Models: A Comprehensive Analysis on Authentic Social Media Streams ICML 2025-12
A Retrospect to Multi-prompt Learning across Vision and Language ICCV 2025-11
A Variational Manifold Embedding Framework for Nonlinear Dimensionality Reduction NeurIPS 2025-11
Active Learning for Animal Re-Identification with Ambiguity-Aware Sampling AAAI 2025-11
Adaptive Initial Residual Connections for GNNs with Theoretical Guarantees AAAI 2025-11
AI Progress Should Be Measured by Capability-Per-Resource, Not Scale Alone: A Framework for Gradient-Guided Resource Allocation in LLMs NeurIPS 2025-11
Angular Gradient Sign Method: Uncovering Vulnerabilities in Hyperbolic Networks AAAI 2025-11
Beta Distribution Learning for Reliable Roadway Crash Risk Assessment AAAI 2025-11
Bias Is a Subspace, Not a Coordinate: A Geometric Rethinking of Post-hoc Debiasing in Vision-Language Models CVPR 2025-11
Class-feature Watermark: A Resilient Black-box Watermark Against Model Extraction Attacks AAAI 2025-11
Dropouts in Confidence: Moral Uncertainty in Human-LLM Alignment AAAI 2025-11
LP Energy-Efficient Vision Transformer Inference for Edge-AI Deployment arXiv 2025-11
Fast Data Attribution for Text-to-Image Models NeurIPS 2025-11
First is Not Really Better Than Last: Evaluating Layer Choice and Aggregation Strategies in Language Model Data Influence Estimation ICLR 2025-11
GCL-OT: Graph Contrastive Learning with Optimal Transport for Heterophilic Text-Attributed Graphs AAAI 2025-11
HN-MVTS: HyperNetwork-based Multivariate Time Series Forecasting AAAI 2025-11
KnowThyself: An Agentic Assistant for LLM Interpretability AAAI 2025-11
MamTiff-CAD: Multi-Scale Latent Diffusion with Mamba+ for Complex Parametric Sequence ICCV 2025-11
MapReduce LoRA: Advancing the Pareto Front in Multi-Preference Optimization for Generative Models CVPR 2025-11
Measuring the Intrinsic Dimension of Earth Representations ICLR 2025-11
Modulation of temporal decision-making in a deep reinforcement learning agent under the dual-task paradigm NeurIPS 2025-11
Multi-agent In-context Coordination via Decentralized Memory Retrieval AAAI 2025-11
No-Regret Strategy Solving in Imperfect-Information Games via Pre-Trained Embedding AAAI 2025-11
NutriScreener: Retrieval-Augmented Multi-Pose Graph Attention Network for Malnourishment Screening AAAI 2025-11
LP Optimizing GEMM for Energy and Performance on Versal ACAP Architectures arXiv 2025-11
Position Paper: If Innovation in AI Systematically Violates Fundamental Rights, Is It Innovation at All? NeurIPS 2025-11
Privacy Auditing of Multi-domain Graph Pre-trained Model under Membership Inference Attacks AAAI 2025-11
Real-Time Learning of Predictive Dynamic Obstacle Models for Robotic Motion Planning ICRA 2025-11
Scene-Aware Urban Design: A Human-AI Recommendation Framework Using Co-Occurrence Embeddings and Vision-Language Models NeurIPS 2025-11
Solar-GECO: Perovskite Solar Cell Property Prediction with Geometric-Aware Co-Attention NeurIPS 2025-11
SOM Directions are Better than One: Multi-Directional Refusal Suppression in Language Models AAAI 2025-11
Tab-PET: Graph-Based Positional Encodings for Tabular Transformers AAAI 2025-11
The More, the Merrier: Contrastive Fusion for Higher-Order Multimodal Alignment CVPR 2025-11
Thermally Activated Dual-Modal Adversarial Clothing against AI Surveillance Systems CVPR 2025-11
TouchFormer: A Robust Transformer-based Framework for Multimodal Material Perception AAAI 2025-11
Towards Scalable Web Accessibility Audit with MLLMs as Copilots AAAI 2025-11
Training-free Detection of AI-generated images via Cropping Robustness NeurIPS 2025-11
When Genes Speak: A Semantic-Guided Framework for Spatially Resolved Transcriptomics Data Clustering AAAI 2025-11
A Joint Learning Approach to Hardware Caching and Prefetching NeurIPS 2025-10
LP An Attention-based Feature Memory Design for Energy-Efficient Continual Learning arXiv 2025-10
Angular Constraint Embedding via SpherePair Loss for Constrained Clustering NeurIPS 2025-10
ARM-FM: Automated Reward Machines via Foundation Models for Compositional Reinforcement Learning ICLR 2025-10
AttentiveGRUAE: An Attention-Based GRU Autoencoder for Temporal Clustering and Behavioral Characterization of Depression from Wearable Data NeurIPS 2025-10
AutoSciDACT: Automated Scientific Discovery through Contrastive Embedding and Hypothesis Testing NeurIPS 2025-10
Beyond Multi-Token Prediction: Pretraining LLMs with Future Summaries ICLR 2025-10
Bridging Symmetry and Robustness: On the Role of Equivariance in Enhancing Adversarial Robustness NeurIPS 2025-10
Compressing Biology: Evaluating the Stable Diffusion VAE for Phenotypic Drug Discovery NeurIPS 2025-10
Cultural Alien Sampler: Open-ended art generation balancing originality and coherence NeurIPS 2025-10
Data-Prompt Co-Evolution: Growing Test Sets to Refine LLM Behavior CHI 2025-10
DECOR: Deep Embedding Clustering with Orientation Robustness AAAI 2025-10
Diffusion Adaptive Text Embedding for Text-to-Image Diffusion Models NeurIPS 2025-10
Does Object Binding Naturally Emerge in Large Pretrained Vision Transformers? NeurIPS 2025-10
Dual Mixture-of-Experts Framework for Discrete-Time Survival Analysis NeurIPS 2025-10
TinyML Edge Artificial Intelligence: A Systematic Review of Evolution, Taxonomic Frameworks, and Future Horizons arXiv 2025-10
Enhancing Graph Classification Robustness with Singular Pooling NeurIPS 2025-10
Equivariance by Contrast: Identifiable Equivariant Embeddings from Unlabeled Finite Group Actions NeurIPS 2025-10
FairContrast: Enhancing Fairness through Contrastive learning and Customized Augmenting Methods on Tabular Data NeurIPS 2025-10
FairImagen: Post-Processing for Bias Mitigation in Text-to-Image Models NeurIPS 2025-10
Functional embeddings enable Aggregation of multi-area SEEG recordings over subjects and sessions ICLR 2025-10
How Foundational are Foundation Models for Time Series Forecasting? NeurIPS 2025-10
ICL-Router: In-Context Learned Model Representations for LLM Routing AAAI 2025-10
TinyML IoT-MCP: Bridging LLMs and IoT Systems Through Model Context Protocol arXiv 2025-10
Iteratively Refined Early Interaction Alignment for Subgraph Matching based Graph Retrieval NeurIPS 2025-10
Learning Joint Embeddings of Function and Process Call Graphs for Malware Detection NeurIPS 2025-10
Learning Reconfigurable Representations for Multimodal Federated Learning with Missing Data NeurIPS 2025-10
Learning Without Augmenting: Unsupervised Time Series Representation Learning via Frame Projections NeurIPS 2025-10
LLEMA: Evolutionary Search with LLMs for Multi-Objective Materials Discovery ICLR 2025-10
Massive Memorization with Hundreds of Trillions of Parameters for Sequential Transducer Generative Recommenders ICLR 2025-10
MetaDefense: Defending Finetuning-based Jailbreak Attack Before and During Generation NeurIPS 2025-10
Mint: A Simple Test-Time Adaptation of Vision-Language Models against Common Corruptions NeurIPS 2025-10
NewtonBench: Benchmarking Generalizable Scientific Law Discovery in LLM Agents ICLR 2025-10
One Token Embedding Is Enough to Deadlock Your Large Reasoning Model NeurIPS 2025-10
TinyML Photoacoustics on the go: An Embedded Photoacoustic Sensing Platform arXiv 2025-10
PHyCLIP: $\ell_1$-Product of Hyperbolic Factors Unifies Hierarchy and Compositionality in Vision-Language Representation Learning ICLR 2025-10
Physics-Informed Neural Networks with Fourier Features and Attention-Driven Decoding NeurIPS 2025-10
Pre-trained Forecasting Models: Strong Zero-Shot Feature Extractors for Time Series Classification NeurIPS 2025-10
Probing Neural Combinatorial Optimization Models NeurIPS 2025-10
Prompt-Guided Spatial Understanding with RGB-D Transformers for Fine-Grained Object Relation Reasoning ICCV 2025-10
Purrception: Variational Flow Matching for Vector-Quantized Image Generation ICLR 2025-10
Soft Task-Aware Routing of Experts for Equivariant Representation Learning NeurIPS 2025-10
Soft-Masked Diffusion Language Models ICLR 2025-10
SR-Scientist: Scientific Equation Discovery With Agentic AI ICLR 2025-10
Structure-Aware Spectral Sparsification via Uniform Edge Sampling NeurIPS 2025-10
Structured Temporal Causality for Interpretable Multivariate Time Series Anomaly Detection NeurIPS 2025-10
Subgraph Federated Learning via Spectral Methods NeurIPS 2025-10
Synchronization of Multiple Videos ICCV 2025-10
t-SNE Exaggerates Clusters, Provably ICLR 2025-10
T2SMark: Balancing Robustness and Diversity in Noise-as-Watermark for Diffusion Models NeurIPS 2025-10
TAMI: Taming Heterogeneity in Temporal Interactions for Temporal Graph Link Prediction NeurIPS 2025-10
Text-to-Image Models Leave Identifiable Signatures: Implications for Leaderboard Security NeurIPS 2025-10
The Boundaries of Fair AI in Medical Image Prognosis: A Causal Perspective NeurIPS 2025-10
The Effect of Attention Head Count on Transformer Approximation ICLR 2025-10
The Geometry of Reasoning: Flowing Logics in Representation Space ICLR 2025-10
Thought Communication in Multiagent Collaboration NeurIPS 2025-10
Time-Embedded Algorithm Unrolling for Computational MRI NeurIPS 2025-10
Training-Free Safe Text Embedding Guidance for Text-to-Image Diffusion Models NeurIPS 2025-10
LP Unsupervised local learning based on voltage-dependent synaptic plasticity for resistive and ferroelectric synapses arXiv 2025-10
UtilGen: Utility-Centric Generative Data Augmentation with Dual-Level Task Adaptation NeurIPS 2025-10
A TRIANGLE Enables Multimodal Alignment Beyond Cosine Similarity NeurIPS 2025-09
AI Methods for Permutation Circuit Synthesis Across Generic Topologies AAAI 2025-09
An Adaptor for Triggering Semi-Supervised Learning to Out-of-Box Serve Deep Image Clustering TIP 2025-09
ASTROCO: Self-Supervised Conformer-Style Transformers for Light-Curve Embeddings NeurIPS 2025-09
BioBO: Biology-informed Bayesian Optimization for Perturbation Design ICLR 2025-09
Boundary-to-Region Supervision for Offline Safe Reinforcement Learning NeurIPS 2025-09
Causality-Induced Positional Encoding for Transformer-Based Representation Learning of Non-Sequential Features NeurIPS 2025-09
CE-FAM: Concept-Based Explanation via Fusion of Activation Maps ICCV 2025-09
CEMTM: Contextual Embedding-based Multimodal Topic Modeling EMNLP 2025-09
CORE-3D: Context-aware Open-vocabulary Retrieval by Embeddings in 3D ICLR 2025-09
Diff-3DCap: Shape Captioning with Diffusion Models TVCG 2025-09
Drug Repurposing Using Deep Embedded Clustering and Graph Neural Networks ICML 2025-09
EHWGesture -- A dataset for multimodal understanding of clinical gestures ICCV 2025-09
ULP Energy-convergence trade off for the training of neural networks on bio-inspired hardware arXiv 2025-09
Fast Estimation of Wasserstein Distances via Regression on Sliced Wasserstein Distances ICLR 2025-09
LP Federated Multi-Agent Reinforcement Learning for Privacy-Preserving and Energy-Aware Resource Management in 6G Edge Networks arXiv 2025-09
GaussEdit: Adaptive 3D Scene Editing with Text and Image Prompts TVCG 2025-09
GnnXemplar: Exemplars to Explanations -- Natural Language Rules for Global GNN Interpretability NeurIPS 2025-09
Hierarchical Retrieval: The Geometry and a Pretrain-Finetune Recipe NeurIPS 2025-09
Integrating Prior Observations for Incremental 3D Scene Graph Prediction ICML 2025-09
Joint Embeddings Go Temporal NeurIPS 2025-09
Latent Zoning Network: A Unified Principle for Generative Modeling, Representation Learning, and Classification NeurIPS 2025-09
Learning Unified Representation of 3D Gaussian Splatting ICLR 2025-09
Mental Multi-class Classification on Social Media: Benchmarking Transformer Architectures against LSTM Models ICML 2025-09
Not All Splits Are Equal: Rethinking Attribute Generalization Across Unrelated Categories NeurIPS 2025-09
One Filters All: A Generalist Filter for State Estimation NeurIPS 2025-09
TinyML Queen Detection in Beehives via Environmental Sensor Fusion for Low-Power Edge Computing arXiv 2025-09
RHYTHM: Reasoning with Hierarchical Temporal Tokenization for Human Mobility NeurIPS 2025-09
TinyML Ruggedized Ultrasound Sensing in Harsh Conditions: eRTIS in the wild arXiv 2025-09
Self-Supervised Learning of Graph Representations for Network Intrusion Detection NeurIPS 2025-09
SoDaDE: Solvent Data-Driven Embeddings with Small Transformer Models NeurIPS 2025-09
The Complexity of Finding Local Optima in Contrastive Learning NeurIPS 2025-09
The LLM as a Network Operator: A Vision for Generative AI in the 6G Radio Access Network NeurIPS 2025-09
The Narcissus Hypothesis: Descending to the Rung of Illusion NeurIPS 2025-09
TimeMosaic: Temporal Heterogeneity Guided Time Series Forecasting via Adaptive Granularity Patch and Segment-wise Decoding AAAI 2025-09
TRiCo: Triadic Game-Theoretic Co-Training for Robust Semi-Supervised Learning NeurIPS 2025-09
Understanding Language Prior of LVLMs by Contrasting Chain-of-Embedding ICLR 2025-09
Using LLMs for Late Multimodal Sensor Fusion for Activity Recognition NeurIPS 2025-09
VADER: A Variational Autoencoder to Infer Planetary Masses and Gas-Dust Disk Properties Around Young Stars ICML 2025-09
CHARM3R: Towards Unseen Camera Height Robust Monocular 3D Detector ICCV 2025-08
TinyML Embedded Microcontrol for Photovoltaic Water Pumping System arXiv 2025-08
EMPATHIA: Multi-Faceted Human-AI Collaboration for Refugee Integration NeurIPS 2025-08
LP Energy Efficient Task Offloading in UAV-Enabled MEC Using a Fully Decentralized Deep Reinforcement Learning Approach arXiv 2025-08
Every 28 Days the AI Dreams of Soft Skin and Burning Stars: Scaffolding AI Agents with Hormones and Emotions NeurIPS 2025-08
Guided Perturbation Sensitivity (GPS): Detecting Adversarial Text via Embedding Stability and Word Importance AAAI 2025-08
Hi-fi functional priors by learning activations NeurIPS 2025-08
NeRC: Neural Ranging Correction through Differentiable Moving Horizon Location Estimation SenSys 2025-08
On the Theoretical Limitations of Embedding-Based Retrieval ICLR 2025-08
Provable In-Context Vector Arithmetic via Retrieving Task Concepts ICML 2025-08
RealTalk: Realistic Emotion-Aware Lifelike Talking-Head Synthesis ICCV 2025-08
TSLA: A Task-Specific Learning Adaptation for Semantic Segmentation on Autonomous Vehicles Platform TCAD 2025-08
Compositional Discrete Latent Code for High Fidelity, Productive Diffusion Models NeurIPS 2025-07
DIVER-0 : A Fully Channel Equivariant EEG Foundation Model ICML 2025-07
Doodle Your Keypoints: Sketch-Based Few-Shot Keypoint Detection ICCV 2025-07
Efficient Temporal Tokenization for Mobility Prediction with Large Language Models ICML 2025-07
Evaluating Retrieval-Augmented Generation Agents for Autonomous Scientific Discovery in Astrophysics ICML 2025-07
Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Sampling ICML 2025-07
Fast and Scalable Gene Embedding Search: A Comparative Study of FAISS and ScaNN ICML 2025-07
FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making ICML 2025-07
TinyML Gait Recognition Based on Tiny ML and IMU Sensors arXiv 2025-07
Hyperbolic Genome Embeddings ICLR 2025-07
Interpretable EEG-to-Image Generation with Semantic Prompts ICML 2025-07
Knowing When to Quit: Probabilistic Early Exits for Speech Separation ICLR 2025-07
Latte: Collaborative Test-Time Adaptation of Vision-Language Models in Federated Learning ICCV 2025-07
TinyML Low-Cost Fuel Dispenser Prototype Using STM32 and an H-bridge motor driver arXiv 2025-07
PRISM: Reducing Spurious Implicit Biases in Vision-Language Models with LLM-Guided Embedding Projection ICCV 2025-07
Raptor: Scalable Train-Free Embeddings for 3D Medical Volumes Leveraging Pretrained 2D Foundation Models ICML 2025-07
Text-to-Level Diffusion Models With Various Text Encoders for Super Mario Bros AAAI 2025-07
To Label or Not to Label: PALM -- A Predictive Model for Evaluating Sample Efficiency in Active Learning Models ICCV 2025-07
Toward a Dynamic Stackelberg Game-Theoretic Framework for Agentic AI Defense Against LLM Jailbreaking ICLR 2025-07
A Comprehensive Study of Decoder-Only LLMs for Text-to-Image Generation CVPR 2025-06
AutoQD: Automatic Discovery of Diverse Behaviors with Quality-Diversity Optimization ICLR 2025-06
Bayes optimal learning of attention-indexed models NeurIPS 2025-06
BiMark: Unbiased Multilayer Watermarking for Large Language Models ICML 2025-06
BioLangFusion: Multimodal Fusion of DNA, mRNA, and Protein Language Models ICML 2025-06
CLARIFY: Contrastive Preference Reinforcement Learning for Untangling Ambiguous Queries ICML 2025-06
ConTextTab: A Semantics-Aware Tabular In-Context Learner NeurIPS 2025-06
TinyML Deploying and Evaluating Multiple Deep Learning Models on Edge Devices for Diabetic Retinopathy Detection arXiv 2025-06
Early Stopping Tabular In-Context Learning ICML 2025-06
Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis ICCV 2025-06
Evaluating the Effectiveness of Pre-Trained Audio Embeddings for Classification of Parkinson's Disease Speech Data ISCA 2025-06
Generalizing while preserving monotonicity in comparison-based preference learning models NeurIPS 2025-06
Generative Modeling of Full-Atom Protein Conformations using Latent Diffusion on Graph Embeddings NeurIPS 2025-06
Geo-Sign: Hyperbolic Contrastive Regularisation for Geometrically Aware Sign Language Translation NeurIPS 2025-06
GoalLadder: Incremental Goal Discovery with Vision-Language Models NeurIPS 2025-06
Graph-Assisted Stitching for Offline Hierarchical Reinforcement Learning ICML 2025-06
Hidden Bias in the Machine: Stereotypes in Text-to-Image Models CVPR 2025-06
Hierarchical and Collaborative LLM-Based Control for Multi-UAV Motion and Communication in Integrated Terrestrial and Non-Terrestrial Networks ICML 2025-06
HSG-12M: A Large-Scale Benchmark of Spatial Multigraphs from the Energy Spectra of Non-Hermitian Crystals ICLR 2025-06
HueManity: Probing Fine-Grained Visual Perception in MLLMs ICML 2025-06
Kernel conditional tests from learning-theoretic bounds NeurIPS 2025-06
Learning Modular Exponentiation with Transformers NeurIPS 2025-06
Learning Physical Systems: Symplectification via Gauge Fixing in Dirac Structures RSS 2025-06
LETS Forecast: Learning Embedology for Time Series Forecasting ICML 2025-06
LotusFilter: Fast Diverse Nearest Neighbor Search via a Learned Cutoff Table CVPR 2025-06
Manipulating 3D Molecules in a Fixed-Dimensional E(3)-Equivariant Latent Space NeurIPS 2025-06
Metadata, Wavelet, and Time Aware Diffusion Models for Satellite Image Super Resolution ICLR 2025-06
On the Similarities of Embeddings in Contrastive Learning ICML 2025-06
Preserving Task-Relevant Information Under Linear Concept Removal NeurIPS 2025-06
Private Model Personalization Revisited ICML 2025-06
Robustness in Both Domains: CLIP Needs a Robust Text Encoder NeurIPS 2025-06
Semantic Outlier Removal with Embedding Models and LLMs ACL 2025-06
System-Embedded Diffusion Bridge Models NeurIPS 2025-06
Toward Explainable Offline RL: Analyzing Representations in Intrinsically Motivated Decision Transformers NeurIPS 2025-06
Towards Universal Offline Black-Box Optimization via Learning Language Model Embeddings ICML 2025-06
TwinBreak: Jailbreaking LLM Security Alignments based on Twin Prompts USENIX Security 2025-06
Uncovering Bias Paths with LLM-guided Causal Discovery: An Active Learning and Dynamic Scoring Approach AAAI 2025-06
Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? NeurIPS 2025-06
VPI-Bench: Visual Prompt Injection Attacks for Computer-Use Agents ICLR 2025-06
Autoencoder-Based Hybrid Replay for Class-Incremental Learning ICML 2025-05
BioCLIP 2: Emergent Properties from Scaling Hierarchical Contrastive Learning NeurIPS 2025-05
Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning ICML 2025-05
Choosing a Model, Shaping a Future: Comparing LLM Perspectives on Sustainability and its Relationship with AI EMNLP 2025-05
Continuous Chain of Thought Enables Parallel Exploration and Reasoning ICLR 2025-05
Correlating instruction-tuning (in multimodal models) with vision-language processing (in the brain) ICLR 2025-05
Cost-aware LLM-based Online Dataset Annotation NeurIPS 2025-05
CostFilter-AD: Enhancing Anomaly Detection through Matching Cost Filtering ICML 2025-05
Deconstructing Bias: A Multifaceted Framework for Diagnosing Cultural and Compositional Inequities in Text-to-Image Generative Models ICLR 2025-05
Density Ratio-Free Doubly Robust Proxy Causal Learning NeurIPS 2025-05
Directional Non-Commutative Monoidal Structures for Compositional Embeddings in Machine Learning NeurIPS 2025-05
Enhancing Training Data Attribution with Representational Optimization NeurIPS 2025-05
Enhancing Transformers Through Conditioned Embedded Tokens ICCV 2025-05
Gateformer: Advancing Multivariate Time Series Forecasting through Temporal and Variate-Wise Attention with Gated Representations ICML 2025-05
Generative Distribution Embeddings: Lifting autoencoders to the space of distributions for multiscale representation learning NeurIPS 2025-05
GenZSL: Generative Zero-Shot Learning Via Inductive Variational Autoencoder ICML 2025-05
Graph-Supported Dynamic Algorithm Configuration for Multi-Objective Combinatorial Optimization ICML 2025-05
Highlighting What Matters: Promptable Embeddings for Attribute-Focused Image Retrieval NeurIPS 2025-05
HoloLLM: Multisensory Foundation Model for Language-Grounded Human Sensing and Reasoning NeurIPS 2025-05
HoPE: Hybrid of Position Embedding for Long Context Vision-Language Models NeurIPS 2025-05
Importance Sampling for Nonlinear Models ICML 2025-05
Introducing Instruction-Accurate Simulators for Performance Estimation of Autotuning Workloads DAC 2025-05
ItDPDM: Information-Theoretic Discrete Poisson Diffusion Model NeurIPS 2025-05
ULP Joint Resource Management for Energy-efficient UAV-assisted SWIPT-MEC: A Deep Reinforcement Learning Approach arXiv 2025-05
Learning Shared Representations from Unpaired Data NeurIPS 2025-05
LMask: Learn to Solve Constrained Routing Problems with Lazy Masking ICLR 2025-05
Localizing Persona Representations in LLMs AAAI 2025-05
MatMMFuse: Multi-Modal Fusion model for Material Property Prediction ICLR 2025-05
LP Model-Distributed Inference for Large Language Models at the Edge arXiv 2025-05
MTL-UE: Learning to Learn Nothing for Multi-Task Learning ICML 2025-05
Multi-modal brain encoding models for multi-modal stimuli ICLR 2025-05
Multi-Modal Molecular Representation Learning via Structure Awareness TIP 2025-05
NeuronTune: Towards Self-Guided Spurious Bias Mitigation ICML 2025-05
On the Emergence of Linear Analogies in Word Embeddings NeurIPS 2025-05
Revisiting Bi-Linear State Transitions in Recurrent Neural Networks NeurIPS 2025-05
Rotary Masked Autoencoders are Versatile Learners NeurIPS 2025-05
Safe-Sora: Safe Text-to-Video Generation via Graphical Watermarking NeurIPS 2025-05
LP Sustainable Smart Farm Networks: Enhancing Resilience and Efficiency with Decision Theory-Guided Deep Reinforcement Learning arXiv 2025-05
TabSTAR: A Tabular Foundation Model for Tabular Data with Text Fields NeurIPS 2025-05
The Spotlight Resonance Method: Resolving the Alignment of Embedded Activations ICLR 2025-05
LP Tool-Aided Evolutionary LLM for Generative Policy Toward Efficient Resource Management in Wireless Federated Learning arXiv 2025-05
TRAP: Targeted Redirecting of Agentic Preferences NeurIPS 2025-05
Whitened CLIP as a Likelihood Surrogate of Images and Captions ICML 2025-05
WILTing Trees: Interpreting the Distance Between MPNN Embeddings ICML 2025-05
TinyML A Non-Invasive Load Monitoring Method for Edge Computing Based on MobileNetV3 and Dynamic Time Regulation arXiv 2025-04
Balancing Graph Embedding Smoothness in Self-Supervised Learning via Information-Theoretic Decomposition WWW 2025-04
Climplicit: Climatic Implicit Embeddings for Global Ecological Tasks ICLR 2025-04
LP Cooperative Task Offloading through Asynchronous Deep Reinforcement Learning in Mobile Edge Computing for Future Networks arXiv 2025-04
FLOSS: Free Lunch in Open-vocabulary Semantic Segmentation ICCV 2025-04
GRAIN: Multi-Granular and Implicit Information Aggregation Graph Neural Network for Heterophilous Graphs AAAI 2025-04
GT-SNT: A Linear-Time Transformer for Large-Scale Graphs via Spiking Node Tokenization AAAI 2025-04
Hard-constraining Neumann boundary conditions in physics-informed neural networks via Fourier feature embeddings ICLR 2025-04
Implicit Bias Injection Attacks against Text-to-Image Diffusion Models CVPR 2025-04
LP Intelligent Task Offloading in VANETs: A Hybrid AI-Driven Approach for Low-Latency and Energy Efficiency arXiv 2025-04
Is the Reversal Curse a Binding Problem? Uncovering Limitations of Transformers from a Basic Generalization Failure ICLR 2025-04
Learning to Normalize on the SPD Manifold under Bures-Wasserstein Geometry CVPR 2025-04
Let Me Grok for You: Accelerating Grokking via Embedding Transfer from a Weaker Model ICLR 2025-04
LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models ICML 2025-04
LP LLMs meet Federated Learning for Scalable and Secure IoT Management Globecom 2025-04
Measuring Leakage in Concept-Based Methods: An Information Theoretic Approach ICLR 2025-04
RadZero: Similarity-Based Cross-Attention for Explainable Vision-Language Alignment in Chest X-ray with Zero-Shot Multi-Task Capability NeurIPS 2025-04
Representation Learning for Extrapolation in Perturbation Modeling ICLR 2025-04
SCAM: A Real-World Typographic Robustness Evaluation for Multimodal Foundation Models CVPR 2025-04
STAMP Your Content: Proving Dataset Membership via Watermarked Rephrasings ICML 2025-04
LP State-Aware IoT Scheduling Using Deep Q-Networks and Edge-Based Coordination arXiv 2025-04
TinyML Tin-Tin: Towards Tiny Learning on Tiny Devices with Integer-based Neural Network Training arXiv 2025-04
TinyML TinyML for Speech Recognition arXiv 2025-04
A Frustratingly Simple Yet Highly Effective Attack Baseline: Over 90% Success Rate Against the Strong Black-box Models of GPT-4.5/4o/o1 NeurIPS 2025-03
Addressing Model Overcomplexity in Drug-Drug Interaction Prediction With Molecular Fingerprints ICLR 2025-03
All-atom Diffusion Transformers: Unified generative modelling of molecules and materials ICML 2025-03
TinyML An integrated design of energy and indoor environmental quality monitoring system for effective building performance management arXiv 2025-03
ASIDE: Architectural Separation of Instructions and Data in Language Models ICLR 2025-03
Compositional Reasoning with Transformers, RNNs, and Chain of Thought NeurIPS 2025-03
ConceptGuard: Continual Personalized Text-to-Image Generation with Forgetting and Confusion Mitigation CVPR 2025-03
Conformal Transformations for Symmetric Power Transformers ICLR 2025-03
Dissecting and Mitigating Diffusion Bias via Mechanistic Interpretability CVPR 2025-03
LP Energy-Efficient Federated Learning and Migration in Digital Twin Edge Networks arXiv 2025-03
EnQode: Fast Amplitude Embedding for Quantum Machine Learning Using Classical Data DAC 2025-03
Exploring Interpretability for Visual Prompt Tuning with Cross-layer Concepts ICLR 2025-03
External Knowledge Injection for CLIP-Based Class-Incremental Learning ICCV 2025-03
Forgetting Transformer: Softmax Attention with a Forget Gate ICLR 2025-03
Galaxy Walker: Geometry-aware VLMs For Galaxy-scale Understanding CVPR 2025-03
InfoSEM: A Deep Generative Model with Informative Priors for Gene Regulatory Network Inference ICML 2025-03
Intanify AI Platform: Embedded AI for Automated IP Audit and Due Diligence AAAI 2025-03
Is CLIP ideal? No. Can we fix it? Yes! ICCV 2025-03
It's a (Blind) Match! Towards Vision-Language Correspondence without Parallel Data CVPR 2025-03
Language-Assisted Feature Transformation for Anomaly Detection ICLR 2025-03
LATINO-PRO: LAtent consisTency INverse sOlver with PRompt Optimization ICCV 2025-03
MAVFlow: Preserving Paralinguistic Elements with Conditional Flow Matching for Zero-Shot AV2AV Multilingual Translation ICCV 2025-03
MIP against Agent: Malicious Image Patches Hijacking Multimodal OS Agents NeurIPS 2025-03
Mixture of Lookup Experts ICML 2025-03
Panopticon: Advancing Any-Sensor Foundation Models for Earth Observation CVPR 2025-03
LP PINN-DT: Optimizing Energy Consumption in Smart Building Using Hybrid Physics-Informed Neural Networks and Digital Twin Framework with Blockchain Security arXiv 2025-03
Reinforcement learning with combinatorial actions for coupled restless bandits ICLR 2025-03
Reproducibility and Artifact Consistency of the SIGIR 2022 Recommender Systems Papers Based on Message Passing TOIS 2025-03
Rethinking Light Decoder-based Solvers for Vehicle Routing Problems ICLR 2025-03
RRNCO: Towards Real-World Routing with Neural Combinatorial Optimization ICLR 2025-03
RxRx3-core: Benchmarking drug-target interactions in High-Content Microscopy ICLR 2025-03
SHADE-AD: An LLM-Based Framework for Synthesizing Activity Data of Alzheimer's Patients SenSys 2025-03
ULP Towards Experience Replay for Class-Incremental Learning in Fully-Binary Networks arXiv 2025-03
Towards Learnable Anchor for Deep Multi-View Clustering AAAI 2025-03
Trajectory-Class-Aware Multi-Agent Reinforcement Learning ICLR 2025-03
(How) Can Transformers Predict Pseudo-Random Numbers? ICML 2025-02
TinyML A Hybrid Edge Classifier: Combining TinyML-Optimised CNN with RRAM-CMOS ACAM for Energy-Efficient Inference arXiv 2025-02
LP Accelerated Training on Low-Power Edge Devices arXiv 2025-02
Are We Measuring Oversmoothing in Graph Neural Networks Correctly? ICLR 2025-02
Auditing Prompt Caching in Language Model APIs ICML 2025-02
BAnG: Bidirectional Anchored Generation for Conditional RNA Design ICML 2025-02
Causal Abstraction Learning based on the Semantic Embedding Principle ICML 2025-02
CL-MFAP: A Contrastive Learning-Based Multimodal Foundation Model for Molecular Property Prediction and Antibiotic Screening ICLR 2025-02
ConceptAttention: Diffusion Transformers Learn Highly Interpretable Features ICML 2025-02
Confidence Elicitation: A New Attack Vector for Large Language Models ICLR 2025-02
Cross the Gap: Exposing the Intra-modal Misalignment in CLIP via Modality Inversion ICLR 2025-02
TinyML DCentNet: Decentralized Multistage Biomedical Signal Classification using Early Exits arXiv 2025-02
DiffMS: Diffusion Generation of Molecules Conditioned on Mass Spectra ICML 2025-02
Discovering Global False Negatives On the Fly for Self-supervised Contrastive Learning ICML 2025-02
DiTAR: Diffusion Transformer Autoregressive Modeling for Speech Generation ICML 2025-02
Exploiting Task Relationships in Continual Learning via Transferability-Aware Task Embeddings NeurIPS 2025-02
Exploring the Camera Bias of Person Re-identification ICLR 2025-02
Exploring Visual Embedding Spaces Induced by Vision Transformers for Online Auto Parts Marketplaces AAAI 2025-02
LP Federated Learning-Driven Cybersecurity Framework for IoT Networks with Privacy-Preserving and Real-Time Threat Detection Capabilities arXiv 2025-02
From RAG to Memory: Non-Parametric Continual Learning for Large Language Models ICML 2025-02
Generalizing Safety Beyond Collision-Avoidance via Latent-Space Reachability Analysis RSS 2025-02
GEVRM: Goal-Expressive Video Generation Model For Robust Visual Manipulation ICLR 2025-02
Implicit Neural Representations of Molecular Vector-Valued Functions ICLR 2025-02
LP Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges arXiv 2025-02
Linear Transformers as VAR Models: Aligning Autoregressive Attention Mechanisms with Autoregressive Forecasting ICML 2025-02
Maximizing the Position Embedding for Vision Transformers with Global Average Pooling AAAI 2025-02
MELON: Provable Defense Against Indirect Prompt Injection Attacks in AI Agents ICML 2025-02
MMGDreamer: Mixed-Modality Graph for Geometry-Controllable 3D Indoor Scene Generation AAAI 2025-02
TinyML Offload Rethinking by Cloud Assistance for Efficient Environmental Sound Recognition on LPWANs SenSys 2025-02
Pulling Back the Curtain: Unsupervised Adversarial Detection via Contrastive Auxiliary Networks ICCV 2025-02
REFINE: Inversion-Free Backdoor Defense via Model Reprogramming ICLR 2025-02
SCA3D: Enhancing Cross-modal 3D Retrieval via 3D Shape and Caption Paired Data Augmentation ICRA 2025-02
Spectro-Riemannian Graph Neural Networks ICLR 2025-02
TabICL: A Tabular Foundation Model for In-Context Learning on Large Data ICML 2025-02
LP TESS: A Scalable Temporally and Spatially Local Learning Rule for Spiking Neural Networks IJCNN 2025-02
The Sharpness Disparity Principle in Transformers for Accelerating Language Model Pre-Training ICML 2025-02
To Share or Not to Share: Investigating Weight Sharing in Variational Graph Autoencoders WWW 2025-02
Unbiased Sliced Wasserstein Kernels for High-Quality Audio Captioning NeurIPS 2025-02
Understanding the Limits of Deep Tabular Methods with Temporal Shift ICML 2025-02
UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs WWW 2025-02
LP An Extensive and Methodical Review of Smart Grids for Sustainable Energy Management-Addressing Challenges with AI, Renewable Energy Integration and Leading-edge Technologies arXiv 2025-01
Bridging Text and Crystal Structures: Literature-driven Contrastive Learning for Materials Science NeurIPS 2025-01
Clustering Properties of Self-Supervised Learning ICML 2025-01
Collaborative Imputation of Urban Time Series through Cross-city Meta-learning TKDE 2025-01
Context-Alignment: Activating and Enhancing LLM Capabilities in Time Series ICLR 2025-01
Enhancing Robust Fairness via Confusional Spectral Regularization ICLR 2025-01
Exact Computation of Any-Order Shapley Interactions for Graph Neural Networks ICLR 2025-01
TinyML Fabrication of Soft and Comfortable Pressure-Sensing Shoe Sole for Intuitive Monitoring of Human Quality Gaits arXiv 2025-01
Federated Class-Incremental Learning: A Hybrid Approach Using Latent Exemplars and Data-Free Techniques to Address Local and Global Forgetting ICLR 2025-01
GCAD: Anomaly Detection in Multivariate Time Series from the Perspective of Granger Causality AAAI 2025-01
GenMol: A Drug Discovery Generalist with Discrete Diffusion ICML 2025-01
Geometry matters: insights from Ollivier Ricci Curvature and Ricci Flow into representational alignment through Ollivier-Ricci Curvature and Ricci Flow NeurIPS 2025-01
Group Ligands Docking to Protein Pockets ICLR 2025-01
Lightspeed Geometric Dataset Distance via Sliced Optimal Transport ICML 2025-01
Mitigating Sexual Content Generation via Embedding Distortion in Text-conditioned Diffusion Models NeurIPS 2025-01
LP Neuro-LIFT: A Neuromorphic, LLM-based Interactive Framework for Autonomous Drone FlighT at the Edge IJCNN 2025-01
PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding ICLR 2025-01
LP Secure Resource Allocation via Constrained Deep Reinforcement Learning arXiv 2025-01
Self-supervised Transformation Learning for Equivariant Representations NeurIPS 2025-01
Smoothed Embeddings for Robust Language Models NeurIPS 2025-01
Tensor-Var: Efficient Four-Dimensional Variational Data Assimilation ICML 2025-01
Textualize Visual Prompt for Image Editing via Diffusion Bridge AAAI 2025-01
TinyML Towards smart and adaptive agents for active sensing on edge devices arXiv 2025-01

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