Papers
Wed 12 Mar 2025
383 papers
- Chain of Draft for Software Engineering: Challenges in Applying Concise Reasoning to Code TasksLLM reasoning → Reasoning for agents, planning and code
- MILLION: Mastering Long-Context LLM Inference Via Outlier-Immunized KV Product QuantizationEfficient LLM inference and serving → KV cache quantization
- HaploVL: A Single-Transformer Baseline for Multi-Modal UnderstandingMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- A Survey of Direct Preference OptimizationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Enhanced Continual Learning of Vision-Language Models with Model FusionMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Error Analyses of Auto-Regressive Video Diffusion Models: A Unified FrameworkDiffusion models → Video generation
- ClaimTrust: Propagation Trust Scoring for RAG SystemsRetrieval-augmented generation → Privacy and security of RAG
- TA-V2A: Textually Assisted Video-to-Audio GenerationDiffusion models → Audio, speech and music
- Reasoning is All You Need for Video Generalization: A Counterfactual Benchmark with Sub-question EvaluationLLM reasoning → Multimodal reasoning
- Learning to Contextualize Web Pages for Enhanced Decision Making by LLM AgentsLLM agents and tool use → Web, search, and research agents
- Context-guided Responsible Data Augmentation with Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- Conversational Gold: Evaluating Personalized Conversational Search System using Gold NuggetsRetrieval-augmented generation → Conversational and speech RAG
- Leveraging Semantic Attribute Binding for Free-Lunch Color Control in Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- On the Limitations of Vision-Language Models in Understanding Image TransformsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- SE(3)-Equivariant Robot Learning and Control: A Tutorial SurveyOffline RL and imitation learning from data → Robot manipulation imitation learning
- ViLAM: Distilling Vision-Language Reasoning into Attention Maps for Social Robot NavigationLLM reasoning → Spatial and embodied reasoning +1
- Attention Reveals More Than Tokens: Training-Free Long-Context Reasoning with Attention-guided RetrievalLLM reasoning → Test-time compute and efficient thinking
- Fine-tuning Vision Language Models with Graph-based Knowledge for Explainable Medical Image AnalysisMultimodal LLMs / vision-language models → Medical vision-language models
- Constrained Discrete DiffusionDiffusion models → Discrete and text diffusion
- AgentDAM: Privacy Leakage Evaluation for Autonomous Web AgentsLLM agents and tool use → Agent threats, guardrails and governance
- Multi-Agent LLM Actor-Critic Framework for Social Robot NavigationLLM agents and tool use → General LLM agent frameworks and benchmarks
- Solving Bayesian inverse problems with diffusion priors and off-policy RLDiffusion models → Inverse problems and image restoration +1
- The Pitfalls of Imitation Learning when Actions are ContinuousOffline RL and imitation learning from data → Imitation learning methods
- MoE-Gen: High-Throughput MoE Inference on a Single GPU with Module-Based BatchingMixture-of-experts → Efficient MoE training and inference systems +1
- Accelerating Diffusion Sampling via Exploiting Local Transition CoherenceDiffusion models → Diffusion foundations and sampling
- Probabilistic Reasoning with LLMs for k-anonymity EstimationLLM reasoning → Reasoning for agents, planning and code
- Silent Branding Attack: Trigger-free Data Poisoning Attack on Text-to-Image Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
- Optimisation of the Accelerator Control by Reinforcement Learning: A Simulation-Based ApproachDeep reinforcement learning methods → RL for energy, networks and operations
- A Deep Reinforcement Learning Approach to Automated Stock Trading, using xLSTM NetworksDeep reinforcement learning methods → Adversarial robustness and RL in finance
- A Survey on Trustworthy LLM Agents: Threats and CountermeasuresLLM agents and tool use → Agent threats, guardrails and governance
- SANA-Sprint: One-Step Diffusion with Continuous-Time Consistency DistillationDiffusion models → Image generation, text-to-image and editing
- Can A Society of Generative Agents Simulate Human Behavior and Inform Public Health Policy? A Case Study on Vaccine HesitancyLLM agents and tool use → Social simulation and multi-agent debate
- Edge AI-Powered Real-Time Decision-Making for Autonomous Vehicles in Adverse Weather ConditionsEnd-to-end autonomous driving → VLMs for autonomous driving
- RewardSDS: Aligning Score Distillation via Reward-Weighted SamplingDiffusion models → 3D, point cloud and scene generation +1
- MoC: Mixtures of Text Chunking Learners for Retrieval-Augmented Generation SystemRetrieval-augmented generation → Multimodal RAG
- PISA Experiments: Exploring Physics Post-Training for Video Diffusion Models by Watching Stuff DropDiffusion models → Video generation
- SimLingo: Vision-Only Closed-Loop Autonomous Driving with Language-Action AlignmentEnd-to-end autonomous driving → Reasoning VLA and VLM driving policies
- Minimax Optimality of the Probability Flow ODE for Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Block Diffusion: Interpolating Between Autoregressive and Diffusion Language ModelsDiffusion models → Discrete and text diffusion
- Plan-and-Act: Improving Planning of Agents for Long-Horizon TasksLLM agents and tool use → General LLM agent frameworks and benchmarks
- Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language ModelsLLM reasoning → Prompting and chain-of-thought reasoning
- TPDiff: Temporal Pyramid Video Diffusion ModelDiffusion models → Video generation
- Strategyproof Reinforcement Learning from Human FeedbackLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF +1
- StructDiff: Structure-aware Diffusion Model for 3D Fine-grained Medical Image SynthesisDiffusion models → Medical imaging and segmentation
- SAEBench: A Comprehensive Benchmark for Sparse Autoencoders in Language Model InterpretabilityMechanistic interpretability → SAE features and their applications
- CombatVLA: An Efficient Vision-Language-Action Model for Combat Tasks in 3D Action Role-Playing GamesVision-language-action models → Generalist VLA models and benchmarks
- PairVDN - Pair-wise Decomposed Value FunctionsDeep reinforcement learning methods → Deep RL algorithms and representations
- Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement LearningLLM reasoning → Knowledge- and tool-augmented reasoning
- CM-Diff: A Single Generative Network for Bidirectional Cross-Modality Translation Diffusion Model Between Infrared and Visible ImagesDiffusion models → Image generation, text-to-image and editing
- Reinforcement Learning is all You NeedLLM reasoning → Reinforcement learning for reasoning +1
- ViM-VQ: Efficient Post-Training Vector Quantization for Visual MambaState-space sequence models (S4, Mamba) → Vision Mamba backbones
- Double-Stage Feature-Level Clustering-Based Mixture of Experts FrameworkMixture-of-experts → Vision mixture-of-experts
- ReMA: Learning to Meta-think for LLMs with Multi-Agent Reinforcement LearningLLM reasoning → Reasoning for agents, planning and code +1
- DAMM-Diffusion: Learning Divergence-Aware Multi-Modal Diffusion Model for Nanoparticles Distribution PredictionDiffusion models → Diffusion foundations and sampling
- Surgical AI Copilot: Energy-Based Fourier Gradient Low-Rank Adaptation for Surgical LLM Agent Reasoning and PlanningLLM reasoning → Clinical and biomedical applications +1
- Sparse Autoencoder as a Zero-Shot Classifier for Concept Erasing in Text-to-Image Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
- Astrea: A MOE-based Visual Understanding Model with Progressive AlignmentMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- Scaling Laws for Conditional Emergence of Multilingual Image Captioning via Generalization from TranslationMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Alias-Free Latent Diffusion Models: Improving Fractional Shift Equivariance of Diffusion Latent SpaceDiffusion models → Diffusion foundations and sampling
- Mitigating Membership Inference Vulnerability in Personalized Federated LearningLLM safety and security → Federated unlearning and poisoning
- Bidirectional Prototype-Reward co-Evolution for Test-Time Adaptation of Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Context-aware Constrained Reinforcement Learning Based Energy-Efficient Power Scheduling for Non-stationary XR Data TrafficDeep reinforcement learning methods → RL for energy, networks and operations
- Evaluating Reinforcement Learning Safety and Trustworthiness in Cyber-Physical SystemsDeep reinforcement learning methods → Safe and constrained RL
- VideoScan: Enabling Efficient Streaming Video Understanding via Frame-level Semantic CarriersMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Membership Inference Attacks fueled by Few-Short Learning to detect privacy leakage tackling data integrityLLM safety and security → Membership inference attacks
- GIGP: A Global Information Interacting and Geometric Priors Focusing Framework for Semi-supervised Medical Image SegmentationState-space sequence models (S4, Mamba) → Mamba for medical image analysis
- MOAT: Evaluating LMMs for Capability Integration and Instruction GroundingMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Unified Dense Prediction of Video DiffusionDiffusion models → Video generation
- Group-robust Machine UnlearningLLM safety and security → Machine unlearning
- A Survey on Enhancing Causal Reasoning Ability of Large Language ModelsLLM reasoning → Causal reasoning in LLMs
- xVLM2Vec: Adapting LVLM-based embedding models to multilinguality using Self-Knowledge DistillationKnowledge distillation → Multimodal distillation
- Steering No-Regret Agents in MFGs under Model UncertaintyDeep reinforcement learning methods → RL for games and combinatorial optimization
- Priority-Aware Preemptive Scheduling for Mixed-Priority Workloads in MoE InferenceMixture-of-experts → Efficient MoE training and inference systems
- Detecting and Preventing Data Poisoning Attacks on AI ModelsLLM safety and security → Backdoor and data poisoning attacks
- UniCombine: Unified Multi-Conditional Combination with Diffusion TransformerDiffusion models → Image generation, text-to-image and editing
- Rule-Guided Reinforcement Learning Policy Evaluation and ImprovementDeep reinforcement learning methods → Interpretable and logic-guided RL
- COLA: A Scalable Multi-Agent Framework For Windows UI Task AutomationLLM agents and tool use → GUI and mobile agents
- Large-scale Regional Traffic Signal Control Based on Single-Agent Reinforcement LearningDeep reinforcement learning methods → RL for autonomous driving and traffic
- Considering Length Diversity in Retrieval-Augmented SummarizationRetrieval-augmented generation → RAG pipeline design and evaluation
- Bayesian Test-Time Adaptation for Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- NAMI: Efficient Image Generation via Bridged Progressive Rectified Flow TransformersDiffusion models → Diffusion foundations and sampling
- In-Context Defense in Computer Agents: An Empirical StudyMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- Active Learning Inspired ControlNet Guidance for Augmenting Semantic Segmentation DatasetsDiffusion models → Medical imaging and segmentation
- Rethinking Prompt-based Debiasing in Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
- Other Vehicle Trajectories Are Also Needed: A Driving World Model Unifies Ego-Other Vehicle Trajectories in Video Latent SpaceWorld models → World models for autonomous driving +1
- Why LLMs Cannot Think and How to Fix ItLLM reasoning → Reasoning benchmarks and evaluation
- MarineGym: A High-Performance Reinforcement Learning Platform for Underwater RoboticsDeep reinforcement learning methods → RL for robot navigation and UAV control
- FaVChat: Hierarchical Prompt-Query Guided Facial Video Understanding with Data-Efficient GRPOLLM reasoning → Multimodal reasoning
- Is LLMs Hallucination Usable? LLM-based Negative Reasoning for Fake News DetectionLLM reasoning → Hallucination detection and mitigation
- Reangle-A-Video: 4D Video Generation as Video-to-Video TranslationDiffusion models → 3D, point cloud and scene generation
- Memory-enhanced Retrieval Augmentation for Long Video UnderstandingRetrieval-augmented generation → Multimodal RAG
- Training Data Provenance Verification: Did Your Model Use Synthetic Data from My Generative Model for Training?Diffusion models → Image generation, text-to-image and editing
- GRU: Mitigating the Trade-off between Unlearning and Retention for LLMsLLM safety and security → Machine unlearning
- Backdooring CLIP through Concept ConfusionLLM safety and security → Backdoor and data poisoning attacks
- Data-Driven Inverse Optimal Control for Continuous-Time Nonlinear SystemsOffline RL and imitation learning from data → Inverse reinforcement learning +1
- LocAgent: Graph-Guided LLM Agents for Code LocalizationLLM agents and tool use → Software engineering coding agents
- Theoretical Guarantees for High Order Trajectory Refinement in Generative FlowsDiffusion models → Flow matching, time series and science
- Probing Latent Subspaces in LLM for AI Security: Identifying and Manipulating Adversarial StatesLLM safety and security → Jailbreaking
- ManeuverGPT Agentic Control for Safe Autonomous Stunt ManeuversLLM agents and tool use → Multimodal and embodied agents
- Adaptive Temperature Based on Logits Correlation in Knowledge DistillationKnowledge distillation → General knowledge distillation methods
All 383
- DAST: Difficulty-Aware Self-Training on Large Language ModelsSynthetic data and self-improvement for LLMs → Self-rewarding alignment and self-training
- Aligning to What? Limits to RLHF Based AlignmentLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Feasibility-aware Imitation Learning from Observations through a Hand-mounted Demonstration InterfaceOffline RL and imitation learning from data → Robot manipulation imitation learning
- Leveraging Retrieval Augmented Generative LLMs For Automated Metadata Description Generation to Enhance Data CatalogsRetrieval-augmented generation → RAG pipeline design and evaluation
- Unified Locomotion Transformer with Simultaneous Sim-to-Real Transfer for QuadrupedsKnowledge distillation → Multimodal distillation +1
- Dual-Domain Homogeneous Fusion with Cross-Modal Mamba and Progressive Decoder for 3D Object DetectionState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
- Effective and Efficient Jailbreaks of Black-Box LLMs with Cross-Behavior AttacksLLM safety and security → Jailbreaking
- Agentic AI for Scientific Discovery: A Survey of Progress, Challenges, and Future DirectionsLLM agents and tool use → Web, search, and research agents
- Bridging Pattern-Aware Complexity with NP-Hard Optimization: A Unifying Framework and Empirical Study
- You Only Train Once: A Flexible Training Framework for Code Vulnerability Detection Driven by Vul-Vector
- PharMolixFM: All-Atom Foundation Models for Molecular Modeling and Generation
- Neuro-Informed Adaptive Learning (NIAL) Algorithm: A Hybrid Deep Learning Approach for ECG Signal Classification
- Mapping fMRI Signal and Image Stimuli in an Artificial Neural Network Latent Space: Bringing Artificial and Natural Minds Together
- Intanify AI Platform: Embedded AI for Automated IP Audit and Due Diligence
- AIDetection: A Generative AI Detection Tool for Educators Using Syntactic Matching of Common ASCII Characters As Potential 'AI Traces' Within Users' Internet Browser
- SciHorizon: Benchmarking AI-for-Science Readiness from Scientific Data to Large Language Models
- Foundation Models for Spatio-Temporal Data Science: A Tutorial and Survey
- Long-horizon Visual Instruction Generation with Logic and Attribute Self-reflection
- Leveraging Knowledge Graphs and LLMs for Context-Aware Messaging
- Revisiting the Predictability of Performative, Social Events
- Privacy-Preserved Automated Scoring using Federated Learning for Educational Research
- ConjointNet: Enhancing Conjoint Analysis for Preference Prediction with Representation Learning
- Conformal Prediction and Human Decision Making
- Refining Filter Global Feature Weighting for Fully-Unsupervised Clustering
- Physical knowledge improves prediction of EM Fields
- LLM-Guided Indoor Navigation with Multimodal Map Understanding
- Exploration of Hepatitis B Virus Infection Dynamics through Physics-Informed Deep Learning Approach
- CALLM: Understanding Cancer Survivors' Emotions and Intervention Opportunities via Mobile Diaries and Context-Aware Language Models
- SciFi-Benchmark: Leveraging Science Fiction To Improve Robot Behavior
- LatentCRS: A Variational EM Framework for Bridging Semantics and Behavior in LLM-based Conversational Recommendation
- Video Individual Counting for Moving Drones
- Test-Time Discovery via Hashing Memory
- Ordered Semantically Diverse Sampling for Textual Data
- Zero-Shot Subject-Centric Generation for Creative Application Using Entropy Fusion
- Neighboring Autoregressive Modeling for Efficient Visual Generation
- Introducing Verification Task of Set Consistency with Set-Consistency Energy Networks
- Medical Large Language Model Benchmarks Should Prioritize Construct Validity
- Knowledge Consultation for Semi-Supervised Semantic Segmentation
- Exploring the best way for UAV visual localization under Low-altitude Multi-view Observation Condition: a Benchmark
- Battling Misinformation: An Empirical Study on Adversarial Factuality in Open-Source Large Language Models
- CULEMO: Cultural Lenses on Emotion -- Benchmarking LLMs for Cross-Cultural Emotion Understanding
- Proceedings of the ISCA/ITG Workshop on Diversity in Large Speech and Language Models
- Quantization for OpenAI's Whisper Models: A Comparative Analysis
- A Semantic-Loss Function Modeling Framework With Task-Oriented Machine Learning Perspectives
- AI Rivalry as a Craft: How Resisting and Embracing Generative AI Reshape Writing Professions
- A Rule Based Solution to Co-reference Resolution in Clinical Text
- What's In Your Field? Mapping Scientific Research with Knowledge Graphs and Large Language Models
- Tracking the Best Expert Privately
- On the contraction properties of Sinkhorn semigroups
- QuickDraw: Fast Visualization, Analysis and Active Learning for Medical Image Segmentation
- CleverDistiller: Simple and Spatially Consistent Cross-modal Distillation
- FDCT: Frequency-Aware Decomposition and Cross-Modal Token-Alignment for Multi-Sensor Target Classification
- LuciBot: Automated Robot Policy Learning from Generated Videos
- Oh-A-DINO: Understanding and Enhancing Attribute-Level Information in Self-Supervised Object-Centric Representations
- EquiPy: Sequential Fairness using Optimal Transport in Python
- Foundation X: Integrating Classification, Localization, and Segmentation through Lock-Release Pretraining Strategy for Chest X-ray Analysis
- An Asymmetric Independence Model for Causal Discovery on Path Spaces
- Media and responsible AI governance: a game-theoretic and LLM analysis
- Who Are You Behind the Screen? Implicit MBTI and Gender Detection Using Artificial Intelligence
- TabNSA: Native Sparse Attention for Efficient Tabular Data Learning
- Training Human-Robot Teams by Improving Transparency Through a Virtual Spectator Interface
- Predicting Tropical Cyclone Track Forecast Errors using a Probabilistic Neural Network
- A Comprehensive Review on Understanding the Decentralized and Collaborative Approach in Machine Learning
- Exploring Position Encoding in Diffusion U-Net for Training-free High-resolution Image Generation
- Resolution Invariant Autoencoder
- Isolated Channel Vision Transformers: From Single-Channel Pretraining to Multi-Channel Finetuning
- Generative AI for Named Entity Recognition in Low-Resource Language Nepali
- Temporal Difference Flows
- A practical guide to machine learning interatomic potentials -- Status and future
- How good are deep learning methods for automated road safety analysis using video data? An experimental study
- Un-Straightening Generative AI: How Queer Artists Surface and Challenge the Normativity of Generative AI Models
- Evaluating the Impact of Synthetic Data on Object Detection Tasks in Autonomous Driving
- Batch List-Decodable Linear Regression via Higher Moments
- Communication-Efficient Language Model Training Scales Reliably and Robustly: Scaling Laws for DiLoCo
- SeqSAM: Autoregressive Multiple Hypothesis Prediction for Medical Image Segmentation using SAM
- Minimal Time Series Transformer
- Bidirectional Learned Facial Animation Codec for Low Bitrate Talking Head Videos
- Designing Graph Convolutional Neural Networks for Discrete Choice with Network Effects
- Learning richness modulates equality reasoning in neural networks
- Real-Time Risky Fault-Chain Search using Time-Varying Graph RNNs
- Efficient Multi-Task Inferencing: Model Merging with Gromov-Wasserstein Feature Alignment
- Cover Learning for Large-Scale Topology Representation
- BiasConnect: Investigating Bias Interactions in Text-to-Image Models
- Distributionally Robust Multi-Agent Reinforcement Learning for Dynamic Chute Mapping
- A PyTorch-Enabled Tool for Synthetic Event Camera Data Generation and Algorithm Development
- SASNet: Spatially-Adaptive Sinusoidal Networks for INRs
- A Siamese Network to Detect If Two Iris Images Are Monozygotic
- Review GIDE -- Restaurant Review Gastrointestinal Illness Detection and Extraction with Large Language Models
- Unveiling Hidden Pivotal Players with GoalNet: A GNN-Based Soccer Player Evaluation System
- Enhancing Adversarial Example Detection Through Model Explanation
- I2V3D: Controllable image-to-video generation with 3D guidance
- Local Look-Ahead Guidance via Verifier-in-the-Loop for Automated Theorem Proving
- How Feasible is Augmenting Fake Nodes with Learnable Features as a Counter-strategy against Link Stealing Attacks?
- Finding the Muses: Identifying Coresets through Loss Trajectories
- Towards Causal Model-Based Policy Optimization
- Revisiting Backdoor Attacks on Time Series Classification in the Frequency Domain
- Revisiting semi-supervised learning in the era of foundation models
- Reassessing Active Learning Adoption in Contemporary NLP: A Community Survey
- DRESS: Disentangled Representation-based Self-Supervised Meta-Learning for Diverse Tasks
- CoRe^2: Collect, Reflect and Refine to Generate Better and Faster
- Towards Hardware Supported Domain Generalization in DNN-Based Edge Computing Devices for Health Monitoring
- Power Spectrum Signatures of Graphs
- Edge AI for Real-time Fetal Assessment in Rural Guatemala
- Understanding Endogenous Data Drift in Adaptive Models with Recourse-Seeking Users
- T'yr-the-Pruner: Structural Pruning LLMs via Global Sparsity Distribution Optimization
- LLM-PS: Empowering Large Language Models for Time Series Forecasting with Temporal Patterns and Semantics
- Bags of Projected Nearest Neighbours: Competitors to Random Forests?
- Technical and Legal Aspects of Federated Learning in Bioinformatics: Applications, Challenges and Opportunities
- Inductive Spatio-Temporal Kriging with Physics-Guided Increment Training Strategy for Air Quality Inference
- Global Position Aware Group Choreography using Large Language Model
- FedMSGL: A Self-Expressive Hypergraph Based Federated Multi-View Learning
- Open-Sora 2.0: Training a Commercial-Level Video Generation Model in 200k
- Physically Plausible Human-Object Rendering from Sparse Views via 3D Gaussian Splatting
- How to Protect Yourself from 5G Radiation? Investigating LLM Responses to Implicit Misinformation
- Parsing the Language of Expression: Enhancing Symbolic Regression with Domain-Aware Symbolic Priors
- BIMBA: Selective-Scan Compression for Long-Range Video Question Answering
- Fair Federated Medical Image Classification Against Quality Shift via Inter-Client Progressive State Matching
- Auspex: Building Threat Modeling Tradecraft into an Artificial Intelligence-based Copilot
- Cost-Optimal Grouped-Query Attention for Long-Context Modeling
- Manify: A Python Library for Learning Non-Euclidean Representations
- Global Convergence and Rich Feature Learning in L-Layer Infinite-Width Neural Networks under μP Parametrization
- Interlaced R2D2 DNN Series for Scalable Non-Cartesian MRI with Sensitivity Self-calibration
- Electromyography-Informed Facial Expression Reconstruction for Physiological-Based Synthesis and Analysis
- A Planning Compilation to Reason about Goal Achievement at Planning Time
- PolyPythias: Stability and Outliers across Fifty Language Model Pre-Training Runs
- Neural Network-Based Change Point Detection for Large-Scale Time-Evolving Data
- Differentially Private Equilibrium Finding in Polymatrix Games
- GenHPE: Generative Counterfactuals for 3D Human Pose Estimation with Radio Frequency Signals
- Evaluating Visual Explanations of Attention Maps for Transformer-based Medical Imaging
- Large Language Models for Multi-Facility Location Mechanism Design
- Patch-Wise Hypergraph Contrastive Learning with Dual Normal Distribution Weighting for Multi-Domain Stain Transfer
- RESTRAIN: Reinforcement Learning-Based Secure Framework for Trigger-Action IoT Environment
- TRACE: Real-Time Multimodal Common Ground Tracking in Situated Collaborative Dialogues
- MindGYM: What Matters in Question Synthesis for Thinking-Centric Fine-Tuning?
- Towards Robust Multimodal Representation: A Unified Approach with Adaptive Experts and Alignment
- Federated Smoothing ADMM for Localization
- Robust Multimodal Survival Prediction with the Latent Differentiation Conditional Variational AutoEncoder
- Representation Retrieval Learning for Heterogeneous Data Integration
- Parameter-Efficient Adaptation of Geospatial Foundation Models through Embedding Deflection
- Learning Cascade Ranking as One Network
- Project-Probe-Aggregate: Efficient Fine-Tuning for Group Robustness
- A Novel Approach for Intrinsic Dimension Estimation
- Learning Spatially Adaptive ℓ1-Norms Weights for Convolutional Synthesis Regularization
- BAMBI: Developing Baby Language Models for Italian
- Neural reservoir control of a soft bio-hybrid arm
- Hybrid Rendering for Multimodal Autonomous Driving: Merging Neural and Physics-Based Simulation
- SO(3)-Equivariant Neural Networks for Learning from Scalar and Vector Fields on Spheres
- Explicit Learning and the LLM in Machine Translation
- How Well Does Your Tabular Generator Learn the Structure of Tabular Data?
- Fast computation of the TGOSPA metric for multiple target tracking via unbalanced optimal transport
- Online Language Splatting
- SuperCarver: Texture-Consistent 3D Geometry Super-Resolution for High-Fidelity Surface Detail Generation
- PromptMap: An Alternative Interaction Style for AI-Based Image Generation
- CASTLE: Benchmarking Dataset for Static Code Analyzers and LLMs towards CWE Detection
- Language-Enhanced Representation Learning for Single-Cell Transcriptomics
- Efficient Alignment of Unconditioned Action Prior for Language-conditioned Pick and Place in Clutter
- Efficient dynamic modal load reconstruction using physics-informed Gaussian processes based on frequency-sparse Fourier basis functions
- Towards Generating Automatic Anaphora Annotations
- OpenVidVRD: Open-Vocabulary Video Visual Relation Detection via Prompt-Driven Semantic Space Alignment
- Learning Rate Annealing Improves Tuning Robustness in Stochastic Optimization
- Monte Carlo Diffusion for Generalizable Learning-Based RANSAC
- AI-based Framework for Robust Model-Based Connector Mating in Robotic Wire Harness Installation
- Diff-CL: A Novel Cross Pseudo-Supervision Method for Semi-supervised Medical Image Segmentation
- Got Compute, but No Data: Lessons From Post-training a Finnish LLM
- Multi-Agent Image Restoration
- VLog: Video-Language Models by Generative Retrieval of Narration Vocabulary
- ForAug: Mitigating Biases in Image Classification via Controlled Image Compositions
- Precoder Learning by Leveraging Unitary Equivariance Property
- Close-up-GS: Enhancing Close-Up View Synthesis in 3D Gaussian Splatting with Progressive Self-Training
- Adjusted Count Quantification Learning on Graphs
- Revisiting Agnostic Boosting
- Towards Next-Generation Recommender Systems: A Benchmark for Personalized Recommendation Assistant with LLMs
- Pig behavior dataset and Spatial-temporal perception and enhancement networks based on the attention mechanism for pig behavior recognition
- Revisiting Medical Image Retrieval via Knowledge Consolidation
- PerCoV2: Ultra-Low Bit-Rate Perceptual Image Compression via Query-Based 1D Multimodal Image Tokens
- Post-interactive Multimodal Trajectory Prediction for Autonomous Driving
- Towards Graph Foundation Models: A Transferability Perspective
- Deep Learning for Climate Action: Computer Vision Analysis of Visual Narratives on X
- RetSTA: An LLM-Based Approach for Standardizing Clinical Fundus Image Reports
- Automatic Operator-level Parallelism Planning for Distributed Deep Learning -- A Mixed-Integer Programming Approach
- Fully-Synthetic Training for Visual Quality Inspection in Automotive Production
- Safer or Luckier? LLMs as Safety Evaluators Are Not Robust to Artifacts
- GASPACHO: Gaussian Splatting for Controllable Humans and Objects
- An Evaluation of LLMs for Detecting Harmful Computing Terms
- Investigating User Perspectives on Differentially Private Text Privatization
- Online multidimensional dictionary learning
- Stealthy Patch-Wise Backdoor Attack in 3D Point Cloud via Curvature Awareness
- NVP-HRI: Zero Shot Natural Voice and Posture-based Human-Robot Interaction via Large Language Model
- CyberLLMInstruct: A Pseudo-malicious Dataset Revealing Safety-performance Trade-offs in Cyber Security LLM Fine-tuning
- SDD-4DGS: Static-Dynamic Aware Decoupling in Gaussian Splatting for 4D Scene Reconstruction
- Energy Optimized Piecewise Polynomial Approximation Utilizing Modern Machine Learning Optimizers
- DAVE: Diagnostic benchmark for Audio Visual Evaluation
- 2HandedAfforder: Learning Precise Actionable Bimanual Affordances from Human Videos
- ShuffleGate: Scalable Feature Optimization for Recommender Systems via Batch-wise Sensitivity Learning
- Revealing the Implicit Noise-based Imprint of Generative Models
- Terrier: A Deep Learning Repeat Classifier
- Adaptive political surveys and GPT-4: Tackling the cold start problem with simulated user interactions
- Revealing Unintentional Information Leakage in Low-Dimensional Facial Portrait Representations
- IQPFR: An Image Quality Prior for Blind Face Restoration and Beyond
- Better Together: Unified Motion Capture and 3D Avatar Reconstruction
- Unmask It! AI-Generated Product Review Detection in Dravidian Languages
- Noise2Score3D: Tweedie's Approach for Unsupervised Point Cloud Denoising
- Cockatiel: Ensembling Synthetic and Human Preferenced Training for Detailed Video Caption
- DitHub: A Modular Framework for Incremental Open-Vocabulary Object Detection
- Single-Qudit Quantum Neural Networks for Multiclass Classification
- Neural Normalized Cut: A Differential and Generalizable Approach for Spectral Clustering
- A Global Dataset Mapping the AI Innovation from Academic Research to Industrial Patents
- SCOPE-DTI: Semi-Inductive Dataset Construction and Framework Optimization for Practical Usability Enhancement in Deep Learning-Based Drug Target Interaction Prediction
- How To Make Your Cell Tracker Say "I dunno!"
- GarmentPile: Point-Level Visual Affordance Guided Retrieval and Adaptation for Cluttered Garments Manipulation
- Towards Regulatory-Confirmed Adaptive Clinical Trials: Machine Learning Opportunities and Solutions
- LREF: A Novel LLM-based Relevance Framework for E-commerce
- N2C2: Nearest Neighbor Enhanced Confidence Calibration for Cross-Lingual In-Context Learning
- Evaluating the Generalizability of LLMs in Automated Program Repair
- Robust Asymmetric Heterogeneous Federated Learning with Corrupted Clients
- Quality Over Quantity? LLM-Based Curation for a Data-Efficient Audio-Video Foundation Model
- Token Weighting for Long-Range Language Modeling
- Time-EAPCR: A Deep Learning-Based Novel Approach for Anomaly Detection Applied to the Environmental Field
- GENEOnet: Statistical analysis supporting explainability and trustworthiness
- Q-SiT: Teaching LMMs for Image Quality Scoring and Interpreting
- Addressing pitfalls in implicit unobserved confounding synthesis using explicit block hierarchical ancestral sampling
- Differential Privacy Personalized Federated Learning Based on Dynamically Sparsified Client Updates
- Learning Appearance and Motion Cues for Panoptic Tracking
- Polygonizing Roof Segments from High-Resolution Aerial Images Using Yolov8-Based Edge Detection
- Rethinking Bimanual Robotic Manipulation: Learning with Decoupled Interaction Framework
- Incomplete Multi-view Clustering via Diffusion Contrastive Generation
- Exploiting Unstructured Sparsity in Fully Homomorphic Encrypted DNNs
- Dynamic Feature Selection from Variable Feature Sets Using Features of Features
- Long-Term Planning Around Humans in Domestic Environments with 3D Scene Graphs
- Effective Feature Selection for Predicting Spreading Factor with ML in Large LoRaWAN-based Mobile IoT Networks
- AI-Driven Decision Support in Oncology: Evaluating Data Readiness for Skin Cancer Treatment
- WonderVerse: Extendable 3D Scene Generation with Video Generative Models
- Unreflected Use of Tabular Data Repositories Can Undermine Research Quality
- SwapAnyone: Consistent and Realistic Video Synthesis for Swapping Any Person into Any Video
- Generative Frame Sampler for Long Video Understanding
- Efficient UAV Swarm-Based Multi-Task Federated Learning with Dynamic Task Knowledge Sharing
- Exo2Ego: Exocentric Knowledge Guided MLLM for Egocentric Video Understanding
- Clustering by Nonparametric Smoothing
- Investigation of Frame Differences as Motion Cues for Video Object Segmentation
- MP-HSIR: A Multi-Prompt Framework for Universal Hyperspectral Image Restoration
- Reference-free Human-Object Interaction Editing
- Specification languages for computational laws versus basic legal principles
- FlexiReg: Flexible Urban Region Representation Learning
- AdvAD: Exploring Non-Parametric Diffusion for Imperceptible Adversarial Attacks
- On the Internal Representations of Graph Metanetworks
- Drift-Aware Federated Learning: A Causal Perspective
- Sometimes Painful but Certainly Promising: Feasibility and Trade-offs of Language Model Inference at the Edge
- Constraint-Guided Learning of Data-driven Health Indicator Models: An Application on the Pronostia Bearing Dataset
- Freeze and Cluster: A Simple Baseline for Rehearsal-Free Continual Category Discovery
- VaxGuard: A Multi-Generator, Multi-Type, and Multi-Role Dataset for Detecting LLM-Generated Vaccine Misinformation
- The Shape of Attraction in UMAP: Exploring the Embedding Forces in Dimensionality Reduction
- Tacchi 2.0: A Low Computational Cost and Comprehensive Dynamic Contact Simulator for Vision-based Tactile Sensors
- Causal-Ex: Causal Graph-based Micro and Macro Expression Spotting
- Self-Consistent Equation-guided Neural Networks for Censored Time-to-Event Data
- Domain Adaptation for Japanese Sentence Embeddings with Contrastive Learning based on Synthetic Sentence Generation
- Multi-Modal Foundation Models for Computational Pathology: A Survey
- Differentiable Folding for Nearest Neighbor Model Optimization
- Everything Can Be Described in Words: A Simple Unified Multi-Modal Framework with Semantic and Temporal Alignment
- Probing Network Decisions: Capturing Uncertainties and Unveiling Vulnerabilities Without Label Information
- Implicit Contrastive Representation Learning with Guided Stop-gradient
- Model-Level GNN Explanations via Rule-to-Graph Readout for Logit Reconstruction
- Mono2D: A Trainable Monogenic Layer for Robust Knee Cartilage Segmentation on Out-of-Distribution 2D Ultrasound Data
- Adaptive Backdoor Attacks with Reasonable Constraints on Graph Neural Networks
- Discovering Influential Neuron Path in Vision Transformers
- Motion Blender Gaussian Splatting for Dynamic Scene Reconstruction
- RFUAV: A Benchmark Dataset for Unmanned Aerial Vehicle Detection and Identification
- Teaching LLMs How to Learn with Contextual Fine-Tuning
- Measure Twice, Cut Once: A Semantic-Oriented Approach to Video Temporal Localization with Video LLMs
- Enhancing the Non-Functional Quality Compliance of LLM-Generated Code through Quality-Aware Preference Learning
- Natural Humanoid Robot Locomotion with Generative Motion Prior
- Prompt to Restore, Restore to Prompt: Cyclic Prompting for Universal Adverse Weather Removal
- Word2winners at SemEval-2025 Task 7: Multilingual and Crosslingual Fact-Checked Claim Retrieval
- Towards Quantifying Long-Range Interactions in Graph Machine Learning: a Large Graph Dataset and a Measurement
- KNighter: Transforming Static Analysis with LLM-Synthesized Checkers
- From Task-Specific Models to Unified Systems: A Review of Model Merging Approaches
- DistJoin: A Decoupled Join Cardinality Estimator based on Adaptive Neural Predicate Modulation
- I Predict Therefore I Am: Is Next Token Prediction Enough to Learn Human-Interpretable Concepts from Data?
- TetraGrip: Sensor-Driven Multi-Suction Reactive Object Manipulation in Cluttered Scenes
- Decoupled Doubly Contrastive Learning for Cross Domain Facial Action Unit Detection
- Not All Edges are Equally Robust: Evaluating the Robustness of Ranking-Based Federated Learning
- Beyond Overfitting: Doubly Adaptive Dropout for Generalizable AU Detection
- Quantitative Analysis of Deeply Quantized Tiny Neural Networks Robust to Adversarial Attacks
- Evaluation of state-of-the-art deep learning models in the segmentation of the heart ventricles in parasternal short-axis echocardiograms