Papers
Tue 11 Mar 2025
455 papers
- The Impact of VR and 2D Interfaces on Human Feedback in Preference-Based Robot LearningLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Mobility-aware Seamless Service Migration and Resource Allocation in Multi-edge IoV SystemsDeep reinforcement learning methods → RL for energy, networks and operations
- Balancing SoC in Battery Cells using Safe Action PerturbationsDeep reinforcement learning methods → RL for energy, networks and operations
- Understanding the Quality-Diversity Trade-off in Diffusion Language ModelsDiffusion models → Discrete and text diffusion
- LinEAS: End-to-end Learning of Activation Steering with a Distributional LossMechanistic interpretability → Activation steering methods
- A Survey on Knowledge-Oriented Retrieval-Augmented GenerationRetrieval-augmented generation → RAG pipeline design and evaluation
- Identity Preserving Latent Diffusion for Brain Aging ModelingDiffusion models → Medical imaging and segmentation
- Adaptive Anomaly Recovery for Telemanipulation: A Diffusion Model Approach to Vision-Based TrackingDiffusion models → Diffusion and flow policies for robotics
- CASteer: Cross-Attention Steering for Controllable Concept ErasureDiffusion models → Robustness, privacy and adversarial aspects
- Multiplayer Information Asymmetric Contextual BanditsDeep reinforcement learning methods → RL theory and sample complexity
- Extragradient Preference Optimization (EGPO): Beyond Last-Iterate Convergence for Nash Learning from Human FeedbackLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Beam Selection in ISAC using Contextual Bandit with Multi-modal Transformer and Transfer LearningDeep reinforcement learning methods → RL for energy, networks and operations
- Near-Optimal Sample Complexity for Iterated CVaR Reinforcement Learning with a Generative ModelDeep reinforcement learning methods → RL theory and sample complexity
- Backtracking for SafetyLLM safety and security → Safety alignment, refusal and guardrails
- Prompt-OT: An Optimal Transport Regularization Paradigm for Knowledge Preservation in Vision-Language Model AdaptationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- PlainQAFact: Retrieval-augmented Factual Consistency Evaluation Metric for Biomedical Plain Language SummarizationRetrieval-augmented generation → Medical and biomedical RAG
- SpurLens: Automatic Detection of Spurious Cues in Multimodal LLMsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Imitation Learning of Correlated Policies in Stackelberg GamesOffline RL and imitation learning from data → Imitation learning methods
- LLMs Know What to Drop: Self-Attention Guided KV Cache Eviction for Efficient Long-Context InferenceEfficient LLM inference and serving → KV cache optimization
- Meta-Reinforcement Learning with Discrete World Models for Adaptive Load BalancingWorld models → Latent dynamics models and model-based RL +1
- Zero-Shot Action Generalization with Limited ObservationsDeep reinforcement learning methods → Deep RL algorithms and representations
- SICNav-Diffusion: Safe and Interactive Crowd Navigation with Diffusion Trajectory PredictionsDiffusion models → Diffusion and flow policies for robotics
- Combining Local Symmetry Exploitation and Reinforcement Learning for Optimised Probabilistic Inference -- A Work In ProgressDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Towards Interpretable Protein Structure Prediction with Sparse AutoencodersMechanistic interpretability → Interpreting biomedical and science models
- Neurosymbolic Decision TreesLLM reasoning → Reasoning benchmarks and evaluation
- Disentangled World Models: Learning to Transfer Semantic Knowledge from Distracting Videos for Reinforcement LearningWorld models → Latent dynamics models and model-based RL +1
- Oasis: One Image is All You Need for Multimodal Instruction Data SynthesisMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- Representing 3D Shapes With 64 Latent Vectors for 3D Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
- Preserving Product Fidelity in Large Scale Image Recontextualization with Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
- Enhancing Traffic Signal Control through Model-based Reinforcement Learning and Policy ReuseDeep reinforcement learning methods → RL for autonomous driving and traffic
- QuoTA: Query-oriented Token Assignment via CoT Query Decouple for Long Video ComprehensionEfficient LLM inference and serving → Visual token pruning in multimodal models
- Chain-of-Thought Reasoning In The Wild Is Not Always FaithfulLLM reasoning → Prompting and chain-of-thought reasoning
- OmniPaint: Mastering Object-Oriented Editing via Disentangled Insertion-Removal InpaintingDiffusion models → 3D, point cloud and scene generation
- Language-Depth Navigated Thermal and Visible Image FusionDiffusion models → 3D, point cloud and scene generation
- SOPBench: Evaluating Language Agents at Following Standard Operating Procedures and ConstraintsLLM agents and tool use → General LLM agent frameworks and benchmarks
- REGEN: Learning Compact Video Embedding with (Re-)Generative DecoderDiffusion models → Video generation
- MEAT: Multiview Diffusion Model for Human Generation on Megapixels with Mesh AttentionDiffusion models → 3D, point cloud and scene generation
- MF-VITON: High-Fidelity Mask-Free Virtual Try-On with Minimal InputDiffusion models → 3D, point cloud and scene generation
- Rethinking Diffusion Model in High DimensionDiffusion models → Diffusion foundations and sampling
- How Does Overparameterization Affect Machine Unlearning of Deep Neural Networks?LLM safety and security → Machine unlearning
- LightGen: Efficient Image Generation through Knowledge Distillation and Direct Preference OptimizationLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment +1
- HiP-AD: Hierarchical and Multi-Granularity Planning with Deformable Attention for Autonomous Driving in a Single DecoderEnd-to-end autonomous driving → End-to-end system architecture
- Tuning-Free Multi-Event Long Video Generation via Synchronized Coupled SamplingDiffusion models → Video generation
- HierarQ: Task-Aware Hierarchical Q-Former for Enhanced Video UnderstandingMultimodal LLMs / vision-language models → Video understanding with MLLMs
- RAG-Adapter: A Plug-and-Play RAG-enhanced Framework for Long Video UnderstandingMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Modular Customization of Diffusion Models via Blockwise-Parameterized Low-Rank AdaptationDiffusion models → Image generation, text-to-image and editing
- DeepReview: Improving LLM-based Paper Review with Human-like Deep Thinking ProcessLLM reasoning → Knowledge- and tool-augmented reasoning
- MoE-Loco: Mixture of Experts for Multitask LocomotionMixture-of-experts → MoE in reinforcement learning and robotics
- ComicsPAP: understanding comic strips by picking the correct panelMultimodal LLMs / vision-language models → Image editing and quality assessment
- Can We Detect Failures Without Failure Data? Uncertainty-Aware Runtime Failure Detection for Imitation Learning PoliciesOffline RL and imitation learning from data → Language-conditioned policies and VLAs
- Reasoning and Sampling-Augmented MCQ Difficulty Prediction via LLMsLLM reasoning → Reasoning benchmarks and evaluation
- TLA: Tactile-Language-Action Model for Contact-Rich ManipulationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- End-to-End PET Image Reconstruction via a Posterior-Mean Diffusion ModelDiffusion models → Medical imaging and segmentation
- Mellow: a small audio language model for reasoningLLM reasoning → Audio-language model reasoning
- Chemical reasoning in LLMs unlocks strategy-aware synthesis planning and reaction mechanism elucidationLLM reasoning → Clinical and biomedical applications
- GTR: Guided Thought Reinforcement Prevents Thought Collapse in RL-based VLM Agent TrainingLLM reasoning → Multimodal reasoning +1
- LightPlanner: Unleashing the Reasoning Capabilities of Lightweight Large Language Models in Task PlanningLLM reasoning → Spatial and embodied reasoning
- MMRL: Multi-Modal Representation Learning for Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- PhysVLM: Enabling Visual Language Models to Understand Robotic Physical ReachabilityMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Soft Actor-Critic-based Control Barrier Adaptation for Robust Autonomous Navigation in Unknown EnvironmentsDeep reinforcement learning methods → Safe and constrained RL
- Accelerating MoE Model Inference with Expert ShardingMixture-of-experts → Efficient MoE training and inference systems
- FastCache: Optimizing Multimodal LLM Serving through Lightweight KV-Cache Compression FrameworkEfficient LLM inference and serving → KV cache optimization
- Controlling Latent Diffusion Using Latent CLIPDiffusion models → Diffusion foundations and sampling
- Bokeh Diffusion: Defocus Blur Control in Text-to-Image Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
- Using Powerful Prior Knowledge of Diffusion Model in Deep Unfolding Networks for Image Compressive SensingDiffusion models → Inverse problems and image restoration
- AnyMoLe: Any Character Motion In-betweening Leveraging Video Diffusion ModelsDiffusion models → Video generation
- TokenSim: Enabling Hardware and Software Exploration for Large Language Model Inference SystemsEfficient LLM inference and serving → Serving systems and request scheduling
- Fact-checking with Generative AI: A Systematic Cross-Topic Examination of LLMs Capacity to Detect Veracity of Political InformationLLM safety and security → Safety alignment, refusal and guardrails
- OpenRAG: Optimizing RAG End-to-End via In-Context Retrieval LearningRetrieval-augmented generation → RAG pipeline design and evaluation
- DyArtbank: Diverse Artistic Style Transfer via Pre-trained Stable Diffusion and Dynamic Style Prompt ArtbankDiffusion models → Image generation, text-to-image and editing
- V-Max: A Reinforcement Learning Framework for Autonomous DrivingEnd-to-end autonomous driving → Reinforcement learning for driving +1
- Gait in Eight: Efficient On-Robot Learning for Omnidirectional Quadruped LocomotionDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Debiased Prompt Tuning in Vision-Language Model without AnnotationsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- LiPS: Large-Scale Humanoid Robot Reinforcement Learning with Parallel-Series StructuresDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Pathology-Aware Adaptive Watermarking for Text-Driven Medical Image SynthesisDiffusion models → Medical imaging and segmentation
- Attention Reallocation: Towards Zero-cost and Controllable Hallucination Mitigation of MLLMsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Diffusion Transformer Meets Random Masks: An Advanced PET Reconstruction FrameworkDiffusion models → Medical imaging and segmentation
- Talk2PC: Enhancing 3D Visual Grounding through LiDAR and Radar Point Clouds Fusion for Autonomous DrivingEnd-to-end autonomous driving → VLMs for autonomous driving
- MINT-Demo: Membership Inference Test DemonstratorLLM safety and security → Membership inference attacks
- KiteRunner: Language-Driven Cooperative Local-Global Navigation Policy with UAV Mapping in Outdoor EnvironmentsLLM reasoning → Spatial and embodied reasoning
- Evaluating Interpretable Reinforcement Learning by Distilling Policies into ProgramsDeep reinforcement learning methods → Interpretable and logic-guided RL
- Uni-Gaussians: Unifying Camera and Lidar Simulation with Gaussians for Dynamic Driving ScenariosWorld models → World models for autonomous driving
- Seeing and Reasoning with Confidence: Supercharging Multimodal LLMs with an Uncertainty-Aware Agentic FrameworkLLM reasoning → Multimodal reasoning +2
- RFLAV: Rolling Flow matching for infinite Audio Video generationDiffusion models → Audio, speech and music
- General-Purpose Aerial Intelligent Agents Empowered by Large Language ModelsLLM agents and tool use → Multimodal and embodied agents
- Distillation-PPO: A Novel Two-Stage Reinforcement Learning Framework for Humanoid Robot Perceptive LocomotionDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Preference-Based Alignment of Discrete Diffusion ModelsDiffusion models → Diffusion and flow policies for robotics +1
- OminiControl2: Efficient Conditioning for Diffusion TransformersDiffusion models → Image generation, text-to-image and editing
- Multitask Reinforcement Learning for Quadcopter Attitude Stabilization and Tracking using Graph PolicyDeep reinforcement learning methods → RL for robot navigation and UAV control
- SARA: Structural and Adversarial Representation Alignment for Training-efficient Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Aligning Text to Image in Diffusion Models is Easier Than You ThinkDiffusion models → Image generation, text-to-image and editing +1
- HASARD: A Benchmark for Vision-Based Safe Reinforcement Learning in Embodied AgentsDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Modeling Variants of Prompts for Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- EgoBlind: Towards Egocentric Visual Assistance for the BlindMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- MVD-HuGaS: Human Gaussians from a Single Image via 3D Human Multi-view Diffusion PriorDiffusion models → 3D, point cloud and scene generation
- Attention Hijackers: Detect and Disentangle Attention Hijacking in LVLMs for Hallucination MitigationMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- DeepRAG: Building a Custom Hindi Embedding Model for Retrieval Augmented Generation from ScratchRetrieval-augmented generation → RAG pipeline design and evaluation
- Route Sparse Autoencoder to Interpret Large Language ModelsMechanistic interpretability → SAE features and their applications
- A Cascading Cooperative Multi-agent Framework for On-ramp Merging Control Integrating Large Language ModelsLLM agents and tool use → Multimodal and embodied agents
- Dialogue Injection Attack: Jailbreaking LLMs through Context ManipulationLLM safety and security → Jailbreaking
All 455
- Guess What I am Thinking: A Benchmark for Inner Thought Reasoning of Role-Playing Language AgentsLLM reasoning → Reasoning benchmarks and evaluation +1
- ProtTeX: Structure-In-Context Reasoning and Editing of Proteins with Large Language ModelsLLM reasoning → Clinical and biomedical applications
- Privacy-Enhancing Paradigms within Federated Multi-Agent SystemsLLM agents and tool use → Agent threats, guardrails and governance
- Investigating the Effectiveness of a Socratic Chain-of-Thoughts Reasoning Method for Task Planning in Robotics, A Case StudyLLM reasoning → Spatial and embodied reasoning
- FASIONAD++ : Integrating High-Level Instruction and Information Bottleneck in FAt-Slow fusION Systems for Enhanced Safety in Autonomous Driving with Adaptive FeedbackEnd-to-end autonomous driving → Reasoning VLA and VLM driving policies
- U-StyDiT: Ultra-high Quality Artistic Style Transfer Using Diffusion TransformersDiffusion models → Image generation, text-to-image and editing
- Bring Remote Sensing Object Detect Into Nature Language Model: Using SFT MethodMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- FlowDPS: Flow-Driven Posterior Sampling for Inverse ProblemsDiffusion models → Flow matching, time series and science
- Toward Stable World Models: Measuring and Addressing World Instability in Generative EnvironmentsWorld models → Video-generation world models and simulators
- Convergence Dynamics and Stabilization Strategies of Co-Evolving Generative ModelsSynthetic data and self-improvement for LLMs → Model collapse from synthetic data
- ACE: Concept Editing in Diffusion Models without Performance DegradationDiffusion models → Robustness, privacy and adversarial aspects
- Seeing Beyond Haze: Generative Nighttime Image DehazingDiffusion models → Inverse problems and image restoration
- STGDPM:Vessel Trajectory Prediction with Spatio-Temporal Graph Diffusion Probabilistic ModelDiffusion models → Diffusion and flow policies for robotics
- Neutralizing Popularity Bias in LLM-based Recommendation via Counterfactual Reasoning GuidelinesLLM reasoning → LLM reasoning for recommendation
- LongProLIP: A Probabilistic Vision-Language Model with Long Context TextMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Structural and Statistical Texture Knowledge Distillation and Learning for SegmentationKnowledge distillation → Detection and dense prediction distillation
- Generalized Kullback-Leibler Divergence LossKnowledge distillation → General knowledge distillation methods
- Group Preference Alignment: Customized LLM Response Generation from In-Situ ConversationsLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- HOFAR: High-Order Augmentation of Flow Autoregressive TransformersDiffusion models → Diffusion foundations and sampling
- Elastic Motion Policy: An Adaptive Dynamical System for Robust and Efficient One-Shot Imitation LearningOffline RL and imitation learning from data → Real-world robot offline RL
- Computational bottlenecks for denoising diffusionsDiffusion models → Diffusion foundations and sampling
- In Prospect and Retrospect: Reflective Memory Management for Long-term Personalized Dialogue AgentsLLM agents and tool use → Agent memory systems
- Multi-Cue Adaptive Visual Token Pruning for Large Vision-Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- A Three-Dimensional Pursuit-Evasion Game Based on Fuzzy Actor-Critic Learning AlgorithmDeep reinforcement learning methods → RL for robot navigation and UAV control
- MoRE: Unlocking Scalability in Reinforcement Learning for Quadruped Vision-Language-Action ModelsVision-language-action models → Reinforcement learning and post-training +1
- CDI3D: Cross-guided Dense-view Interpolation for 3D ReconstructionDiffusion models → 3D, point cloud and scene generation
- Provable Zero-Shot Generalization in Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- TRACE: Your Diffusion Model is Secretly an Instance Edge DetectorDiffusion models → Medical imaging and segmentation
- EFPC: Towards Efficient and Flexible Prompt CompressionEfficient LLM inference and serving → Prompt and context compression
- LLM-based Corroborating and Refuting Evidence Retrieval for Scientific Claim VerificationRetrieval-augmented generation → RAG robustness and adaptive retrieval
- A Theory of Learning with Autoregressive Chain of ThoughtLLM reasoning → Prompting and chain-of-thought reasoning
- Perturbation Analysis of Singular Values in Concatenated Matrices
- Behavior Importance-Aware Graph Neural Architecture Search for Cross-Domain Recommendation
- From Occurrence to Consequence: A Comprehensive Data-driven Analysis of Building Fire Risk
- Neural Learning Rules from Associative Networks Theory
- Stakeholder Perspectives on Whether and How Social Robots Can Support Mediation and Advocacy for Higher Education Students with Disabilities
- Llms, Virtual Users, and Bias: Predicting Any Survey Question Without Human Data
- Effective Yet Ephemeral Propaganda Defense: There Needs to Be More than One-Shot Inoculation to Enhance Critical Thinking
- Acceptance or Rejection of Lots while Minimizing and Controlling Type I and Type II Errors
- Synthetic Data Generation of Body Motion Data by Neural Gas Network for Emotion Recognition
- Joint Image-Instance Spatial-Temporal Attention for Few-shot Action Recognition
- Is Limited Participant Diversity Impeding EEG-based Machine Learning?
- Finger-to-Chest Style Transfer-assisted Deep Learning Method For Photoplethysmogram Waveform Restoration with Timing Preservation
- TransECG: Leveraging Transformers for Explainable ECG Re-identification Risk Analysis
- Generalization of Video-Based Heart Rate Estimation Methods To Low Illumination and Elevated Heart Rates
- MaskAttn-UNet: A Mask Attention-Driven Framework for Universal Low-Resolution Image Segmentation
- VFM-UDA++: Improving Network Architectures and Data Strategies for Unsupervised Domain Adaptive Semantic Segmentation
- Open-World Skill Discovery from Unsegmented Demonstrations
- VRMDiff: Text-Guided Video Referring Matting Generation of Diffusion
- FPGS: Feed-Forward Semantic-aware Photorealistic Style Transfer of Large-Scale Gaussian Splatting
- Certainly Bot Or Not? Trustworthy Social Bot Detection via Robust Multi-Modal Neural Processes
- Learning second-order TVD flux limiters using differentiable solvers
- Gradient-guided Attention Map Editing: Towards Efficient Contextual Hallucination Mitigation
- Explainable Quantum Machine Learning for Multispectral Images Segmentation: Case Study
- Are ECGs enough? Deep learning classification of pulmonary embolism using electrocardiograms
- An Exhaustive Evaluation of TTS- and VC-based Data Augmentation for ASR
- Data-driven Nonlinear Modal Analysis with Physics-constrained Deep Learning: Numerical and Experimental Study
- FP3: A 3D Foundation Policy for Robotic Manipulation
- KAN-Mixers: a new deep learning architecture for image classification
- Simulator Ensembles for Trustworthy Autonomous Driving Systems Testing
- PromptGAR: Flexible Promptive Group Activity Recognition
- Acoustic Neural 3D Reconstruction Under Pose Drift
- HessianForge: Scalable LiDAR reconstruction with Physics-Informed Neural Representation and Smoothness Energy Constraints
- The Detection of Saccadic Eye Movements and Per-Eye Comparisons using Virtual Reality Eye Tracking Devices
- Enhancing Large Language Models for Hardware Verification: A Novel SystemVerilog Assertion Dataset
- Revisiting Frank-Wolfe for Structured Nonconvex Optimization
- Multilevel Generative Samplers for Investigating Critical Phenomena
- Robust Unsupervised Fault Diagnosis For High-Dimensional Nonlinear Noisy Data
- Reconstruct Anything Model: a lightweight general model for computational imaging
- Interpreting the Repeated Token Phenomenon in Large Language Models
- From Models To Experiments: Shallow Recurrent Decoder Networks on the DYNASTY Experimental Facility
- Towards Efficient Parametric State Estimation in Circulating Fuel Reactors with Shallow Recurrent Decoder Networks
- A Deep Bayesian Nonparametric Framework for Robust Mutual Information Estimation
- Risk-sensitive Bandits: Arm Mixture Optimality and Regret-efficient Algorithms
- EvalTree: Profiling Language Model Weaknesses via Hierarchical Capability Trees
- Comprehensive Benchmarking of Machine Learning Methods for Risk Prediction Modelling from Large-Scale Survival Data: A UK Biobank Study
- Smoothing ADMM for Non-convex and Non-smooth Hierarchical Federated Learning
- Interpretable and Robust Dialogue State Tracking via Natural Language Summarization with LLMs
- Learning Pareto manifolds in high dimensions: How can regularization help?
- Keypoint Semantic Integration for Improved Feature Matching in Outdoor Agricultural Environments
- Contrastive Speaker-Aware Learning for Multi-party Dialogue Generation with LLMs
- PUMA: Learning a Mutation-Aware Vocabulary of Protein Units
- Seal Your Backdoor with Variational Defense
- ResBench: Benchmarking LLM-Generated FPGA Designs with Resource Awareness
- Residual Learning and Filtering Networks for End-to-End Lossless Video Compression
- Cross-Examiner: Evaluating Consistency of Large Language Model-Generated Explanations
- Filter Like You Test: Data-Driven Data Filtering for CLIP Pretraining
- ESNLIR: A Spanish Multi-Genre Dataset with Causal Relationships
- Augmented Reality-based Guidance with Deformable Registration in Head and Neck Tumor Resection
- Enhanced Estimation Techniques for Certified Radii in Randomized Smoothing
- Contextual Speech Extraction: Leveraging Textual History as an Implicit Cue for Target Speech Extraction
- Robust Multi-Objective Controlled Decoding of Large Language Models
- Heterogeneous Graph Structure Learning through the Lens of Data-generating Processes
- QUIET-SR: Quantum Image Enhancement Transformer for Single Image Super-Resolution
- Automatic welding detection by an intelligent tool pipe inspection
- Frequency selection for the diagnostic characterization of human brain tumours
- Large Neighborhood Search and Bitmask Dynamic Programming for Wireless Mobile Charging Electric Vehicle Routing Problems in Medical Transportation
- Exposing Product Bias in LLM Investment Recommendation
- Source-free domain adaptation based on label reliability for cross-domain bearing fault diagnosis
- Mirror Descent and Novel Exponentiated Gradient Algorithms Using Trace-Form Entropies and Deformed Logarithms
- Neural Network for Blind Unmixing: a novel MatrixConv Unmixing (MCU) Approach
- HeGMN: Heterogeneous Graph Matching Network for Learning Graph Similarity
- Shedding Light in Task Decomposition in Program Synthesis: The Driving Force of the Synthesizer Model
- A Bi-channel Aided Stitching of Atomic Force Microscopy Images
- Zero-to-One IDV: A Conceptual Model for AI-Powered Identity Verification
- Quantifying Circadian Desynchrony in ICU Patients and Its Association with Delirium
- FairDeFace: Evaluating the Fairness and Adversarial Robustness of Face Obfuscation Methods
- Training Plug-n-Play Knowledge Modules with Deep Context Distillation
- SIMAC: A Semantic-Driven Integrated Multimodal Sensing And Communication Framework
- The Algorithmic State Architecture (ASA): An Integrated Framework for AI-Enabled Government
- OmniMamba: Efficient and Unified Multimodal Understanding and Generation via State Space Models
- "Principal Components" Enable A New Language of Images
- Perplexity Trap: PLM-Based Retrievers Overrate Low Perplexity Documents
- CoLMDriver: LLM-based Negotiation Benefits Cooperative Autonomous Driving
- Self-Taught Self-Correction for Small Language Models
- GarmentCrafter: Progressive Novel View Synthesis for Single-View 3D Garment Reconstruction and Editing
- Understanding and Mitigating Distribution Shifts For Machine Learning Force Fields
- Keypoint Detection and Description for Raw Bayer Images
- SSVQ: Unleashing the Potential of Vector Quantization with Sign-Splitting
- Generating Robot Constitutions & Benchmarks for Semantic Safety
- Exploring the Word Sense Disambiguation Capabilities of Large Language Models
- Task-Oriented Co-Design of Communication, Computing, and Control for Edge-Enabled Industrial Cyber-Physical Systems
- Extra Clients at No Extra Cost: Overcome Data Heterogeneity in Federated Learning with Filter Decomposition
- Exploiting Instruction-Following Retrievers for Malicious Information Retrieval
- Coefficient-to-Basis Network: A Fine-Tunable Operator Learning Framework for Inverse Problems with Adaptive Discretizations and Theoretical Guarantees
- Efficient Many-Shot In-Context Learning with Dynamic Block-Sparse Attention
- GBlobs: Explicit Local Structure via Gaussian Blobs for Improved Cross-Domain LiDAR-based 3D Object Detection
- YuE: Scaling Open Foundation Models for Long-Form Music Generation
- Birds look like cars: Adversarial analysis of intrinsically interpretable deep learning
- SegAgent: Exploring Pixel Understanding Capabilities in MLLMs by Imitating Human Annotator Trajectories
- Hierarchical autoregressive neural networks in three-dimensional statistical system
- Vision Transformer for Intracranial Hemorrhage Classification in CT Scans Using an Entropy-Aware Fuzzy Integral Strategy for Adaptive Scan-Level Decision Fusion
- A Grid Cell-Inspired Structured Vector Algebra for Cognitive Maps
- EMMOE: A Comprehensive Benchmark for Embodied Mobile Manipulation in Open Environments
- CellStyle: Improved Zero-Shot Cell Segmentation via Style Transfer
- LiSu: A Dataset and Method for LiDAR Surface Normal Estimation
- NSF-SciFy: Mining the NSF Awards Database for Scientific Claims
- X-Field: A Physically Grounded Representation for 3D X-ray Reconstruction
- PointNSP: Autoregressive 3D Point Cloud Generation with Next-Scale Level-of-Detail Prediction
- Integration of nested cross-validation, automated hyperparameter optimization, high-performance computing to reduce and quantify the variance of test performance estimation of deep learning models
- BiasEdit: Debiasing Stereotyped Language Models via Model Editing
- MsaMIL-Net: An End-to-End Multi-Scale Aware Multiple Instance Learning Network for Efficient Whole Slide Image Classification
- Comparing Next-Day Wildfire Predictability of MODIS and VIIRS Satellite Data
- Sparsity-Induced Global Matrix Autoregressive Model with Auxiliary Network Data
- When Discourse Stalls: Moving Past Five Semantic Stopsigns about Generative AI in Design Research
- An Analysis of Safety Guarantees in Multi-Task Bayesian Optimization
- Transferring Extreme Subword Style Using Ngram Model-Based Logit Scaling
- GoAI: Enhancing AI Students' Learning Paths and Idea Generation via Graph of AI Ideas
- Deformable Linear Object Surface Placement Using Elastica Planning and Local Shape Control
- CLEV: LLM-Based Evaluation Through Lightweight Efficient Voting for Free-Form Question-Answering
- ChromaFormer: A Scalable and Accurate Transformer Architecture for Land Cover Classification
- ESPnet-SDS: Unified Toolkit and Demo for Spoken Dialogue Systems
- Visual Attention Graph
- SignRep: Enhancing Self-Supervised Sign Representations
- Position-Aware Depth Decay Decoding (D3): Boosting Large Language Model Inference Efficiency
- High-Quality 3D Head Reconstruction from Any Single Portrait Image
- Segmentation-Guided CT Synthesis with Pixel-Wise Conformal Uncertainty Bounds
- SAS: Segment Any 3D Scene with Integrated 2D Priors
- PCGS: Progressive Compression of 3D Gaussian Splatting
- External Knowledge Injection for CLIP-Based Class-Incremental Learning
- A Generative-AI Modeling Framework for Explainable Decision Support in Complex Geosteering Scenarios
- Referring to Any Person
- ReviewAgents: Bridging the Gap Between Human and AI-Generated Paper Reviews
- CFNet: Optimizing Remote Sensing Change Detection through Content-Aware Enhancement
- The Space Between: On Folding, Symmetries and Sampling
- Learning to Match Unpaired Data with Minimum Entropy Coupling
- SuperCap: Multi-resolution Superpixel-based Image Captioning
- Enhancing Multi-Hop Fact Verification with Structured Knowledge-Augmented Large Language Models
- A Triple-Inertial Accelerated Alternating Optimization Method for Deep Learning Training
- Test-Time 3D Occupancy Prediction
- Generalizable AI-Generated Image Detection Based on Fractal Self-Similarity in the Spectrum
- GAS-NeRF: Geometry-Aware Stylization of Dynamic Radiance Fields
- A Multimodal Physics-Informed Neural Network Approach for Mean Radiant Temperature Modeling
- NullFace: Training-Free Localized Face Anonymization
- Data Driven Decision Making with Time Series and Spatio-temporal Data
- Optimizing Ride-Pooling Operations with Extended Pickup and Drop-Off Flexibility
- TrackOcc: Camera-based 4D Panoptic Occupancy Tracking
- A Data Aggregation Visualization System supported by Processing-in-Memory
- Status and Future Prospects of the Standardization Framework Industry 4.0: A European Perspective
- Stick to Facts: Towards Fidelity-oriented Product Description Generation
- MinGRU-Based Encoder for Turbo Autoencoder Frameworks
- ICPR 2024 Competition on Rider Intention Prediction
- Accelerated Distributed Optimization with Compression and Error Feedback
- JiSAM: Alleviate Labeling Burden and Corner Case Problems in Autonomous Driving via Minimal Real-World Data
- Learning to Detect Objects from Multi-Agent LiDAR Scans without Manual Labels
- Generalizable and Explainable Deep Learning for Medical Image Computing: An Overview
- A Deep-Learning Iterative Stacked Approach for Prediction of Reactive Dissolution in Porous Media
- Uncertainty Quantification for Multi-fidelity Simulations
- WildSeg3D: Segment Any 3D Objects in the Wild from 2D Images
- (θl, θu)-Parametric Multi-Task Optimization: Joint Search in Solution and Infinite Task Spaces
- Recognition-Synergistic Scene Text Editing
- Prototype-Based Multiple Instance Learning for Gigapixel Whole Slide Image Classification
- Twinner: Shining Light on Digital Twins in a Few Snaps
- InfluenceNet: AI Models for Banzhaf and Shapley Value Prediction
- JurisTCU: A Brazilian Portuguese Information Retrieval Dataset with Query Relevance Judgments
- Layton: Latent Consistency Tokenizer for 1024-pixel Image Reconstruction and Generation by 256 Tokens
- nnInteractive: Redefining 3D Promptable Segmentation
- Density Ratio-based Proxy Causal Learning Without Density Ratios
- Ev-Layout: A Large-scale Event-based Multi-modal Dataset for Indoor Layout Estimation and Tracking
- Embodied Crowd Counting
- Parametric Point Cloud Completion for Polygonal Surface Reconstruction
- 3D Medical Imaging Segmentation on Non-Contrast CT
- Robust Latent Matters: Boosting Image Generation with Sampling Error Synthesis
- Mitigating Ambiguities in 3D Classification with Gaussian Splatting
- Design and Implementation of FourCropNet: A CNN-Based System for Efficient Multi-Crop Disease Detection and Management
- DIV-FF: Dynamic Image-Video Feature Fields For Environment Understanding in Egocentric Videos
- Flexible and Efficient Probabilistic PDE Solvers through Gaussian Markov Random Fields
- Prompt2LVideos: Exploring Prompts for Understanding Long-Form Multimodal Videos
- 1LoRA: Summation Compression for Very Low-Rank Adaptation
- MFRS: A Multi-Frequency Reference Series Approach to Scalable and Accurate Time-Series Forecasting
- Adding Chocolate to Mint: Mitigating Metric Interference in Machine Translation
- Prototype-based Heterogeneous Federated Learning for Blade Icing Detection in Wind Turbines with Class Imbalanced Data
- Towards Scalable and Cross-Lingual Specialist Language Models for Oncology
- i-WiViG: Interpretable Window Vision GNN
- Mind the Memory Gap: Unveiling GPU Bottlenecks in Large-Batch LLM Inference
- Reasoning in visual navigation of end-to-end trained agents: a dynamical systems approach
- ELECTRA: A Cartesian Network for 3D Charge Density Prediction with Floating Orbitals
- Energy Scale Degradation in Sparse Quantum Solvers: A Barrier to Quantum Utility
- Large Language Model as Meta-Surrogate for Data-Driven Many-Task Optimization: A Proof-of-Principle Study
- Feature Alignment with Equivariant Convolutions for Burst Image Super-Resolution
- A systematic literature review of unsupervised learning algorithms for anomalous traffic detection based on flows
- Do LLMs Triage Like Clinicians? A Dynamic Study of Outpatient Referral
- SegDesicNet: Lightweight Semantic Segmentation in Remote Sensing with Geo-Coordinate Embeddings for Domain Adaptation
- PromptLNet: Region-Adaptive Aesthetic Enhancement via Prompt Guidance in Low-Light Enhancement Net
- Beyond Outlining: Heterogeneous Recursive Planning for Adaptive Long-form Writing with Language Models
- LangTime: A Language-Guided Unified Model for Time Series Forecasting with Proximal Policy Optimization
- HERO: Human Reaction Generation from Videos
- Adv-CPG: A Customized Portrait Generation Framework with Facial Adversarial Attacks
- Massively Parallel Expectation Maximization For Approximate Posteriors
- DexGrasp Anything: Towards Universal Robotic Dexterous Grasping with Physics Awareness
- MT-NAM: An Efficient and Adaptive Model for Epileptic Seizure Detection
- Dynamic DBSCAN with Euler Tour Sequences
- ExMAG: Learning of Maximally Ancestral Graphs
- Tangentially Aligned Integrated Gradients for User-Friendly Explanations
- EnergyFormer: Energy Attention with Fourier Embedding for Hyperspectral Image Classification
- How good is PAC-Bayes at explaining generalisation?
- Investigating Execution-Aware Language Models for Code Optimization
- A Grey-box Text Attack Framework using Explainable AI
- HRAvatar: High-Quality and Relightable Gaussian Head Avatar
- CL-MVSNet: Unsupervised Multi-view Stereo with Dual-level Contrastive Learning
- S3R-GS: Streamlining the Pipeline for Large-Scale Street Scene Reconstruction
- Explaining Human Preferences via Metrics for Structured 3D Reconstruction
- Are Foundational Atomistic Models Reliable for Finite-Temperature Molecular Dynamics?
- OLMD: Orientation-aware Long-term Motion Decoupling for Continuous Sign Language Recognition
- A Theoretical Framework for Preventing Class Collapse in Supervised Contrastive Learning
- Scale-Aware Pre-Training for Human-Centric Visual Perception: Enabling Lightweight and Generalizable Models
- Automating Violence Detection and Categorization from Ancient Texts
- RigoChat 2: an adapted language model to Spanish using a bounded dataset and reduced hardware
- Physics-based AI methodology for Material Parameter Extraction from Optical Data
- Towards Synthesized and Editable Motion In-Betweening Through Part-Wise Phase Representation
- Towards All-in-One Medical Image Re-Identification
- CQVPR: Landmark-aware Contextual Queries for Visual Place Recognition
- TSCnet: A Text-driven Semantic-level Controllable Framework for Customized Low-Light Image Enhancement
- Dynamic Scene Reconstruction: Recent Advance in Real-time Rendering and Streaming
- Multimodal Generation of Animatable 3D Human Models with AvatarForge
- XAI4Extremes: An interpretable machine learning framework for understanding extreme-weather precursors under climate change
- OASIS: Order-Augmented Strategy for Improved Code Search
- Concept-Driven Deep Learning for Enhanced Protein-Specific Molecular Generation
- Mimicking How Humans Interpret Out-of-Context Sentences Through Controlled Toxicity Decoding
- Towards Large-scale Chemical Reaction Image Parsing via a Multimodal Large Language Model
- Domain Adaptation and Entanglement: an Optimal Transport Perspective
- S2A: A Unified Framework for Parameter and Memory Efficient Transfer Learning
- WISA: World Simulator Assistant for Physics-Aware Text-to-Video Generation
- Depth-Assisted Network for Indiscernible Marine Object Counting with Adaptive Motion-Differentiated Feature Encoding
- Few-Shot Class-Incremental Model Attribution Using Learnable Representation From CLIP-ViT Features
- FilmComposer: LLM-Driven Music Production for Silent Film Clips
- Attention to Trajectory: Trajectory-Aware Open-Vocabulary Tracking
- A Framework for Reducing the Complexity of Geometric Vision Problems and its Application to Two-View Triangulation with Approximation Bounds
- Scaling Probabilistic Circuits via Data Partitioning
- HOTFormerLoc: Hierarchical Octree Transformer for Versatile Lidar Place Recognition Across Ground and Aerial Views
- ArticulatedGS: Self-supervised Digital Twin Modeling of Articulated Objects using 3D Gaussian Splatting
- MGHanD: Multi-modal Guidance for authentic Hand Diffusion
- Large Scale Multi-Task Bayesian Optimization with Large Language Models
- AG-VPReID: A Challenging Large-Scale Benchmark for Aerial-Ground Video-based Person Re-Identification
- UniF2ace: A Unified Fine-grained Face Understanding and Generation Model
- MaRI: Material Retrieval Integration across Domains
- Functional Unit: A New Perspective on Materials Science Research Paradigms
- Median Consensus Embedding for Dimensionality Reduction
- AI-native Memory 2.0: Second Me
- Accelerate 3D Object Detection Models via Zero-Shot Attention Key Pruning
- Whoever Started the Interference Should End It: Guiding Data-Free Model Merging via Task Vectors
- Locally Private Nonparametric Contextual Multi-armed Bandits
- Evidential Uncertainty Probes for Graph Neural Networks
- MegaSR: Mining Customized Semantics and Expressive Guidance for Real-World Image Super-Resolution
- Denoising via Repainting: an image denoising method using layer wise medical image repainting
- MVGSR: Multi-View Consistency Gaussian Splatting for Robust Surface Reconstruction
- SparseVoxFormer: Sparse Voxel-based Transformer for Multi-modal 3D Object Detection
- Revolution of Wireless Signal Recognition for 6G: Recent Advances, Challenges and Future Directions
- PRISM: Privacy-Preserving Improved Stochastic Masking for Federated Generative Models
- Instruction-Augmented Long-Horizon Planning: Embedding Grounding Mechanisms in Embodied Mobile Manipulation
- Degradation Self-Supervised Learning for Lithium-ion Battery Health Diagnostics
- Advancing Sentiment Analysis: A Novel LSTM Framework with Multi-head Attention
- Trend-Aware Supervision: On Learning Invariance for Semi-Supervised Facial Action Unit Intensity Estimation
- MuCoS: Efficient Drug Target Discovery via Multi Context Aware Sampling in Knowledge Graphs
- GigaSLAM: Large-Scale Monocular SLAM with Hierarchical Gaussian Splats
- Simulating Automotive Radar with Lidar and Camera Inputs
- Context-aware Biases for Length Extrapolation
- Continual Learning for Multiple Modalities
- ForceGrip: Reference-Free Curriculum Learning for Realistic Grip Force Control in VR Hand Manipulation
- Symbolic Neural Ordinary Differential Equations
- Odysseus Navigates the Sirens' Song: Dynamic Focus Decoding for Factual and Diverse Open-Ended Text Generation
- DDO-IN: Dual Domains Optimization for Implicit Neural Network to Eliminate Motion Artifact in Magnetic Resonance Imaging
- Beyond Deepfake vs Real: Facial Deepfake Detection in the Open-Set Paradigm
- SphOR: A Representation Learning Perspective on Open-set Recognition for Identifying Unknown Classes in Deep Learning Models
- Adapting Large Language Models for Parameter-Efficient Log Anomaly Detection
- LSC-Eval: A General Framework to Evaluate Methods for Assessing Dimensions of Lexical Semantic Change Using LLM-Generated Synthetic Data
- Accurate INT8 Training Through Dynamic Block-Level Fallback
- ObjectMover: Generative Object Movement with Video Prior
- Empirical Error Estimates for Graph Sparsification
- Learning to Search Effective Example Sequences for In-Context Learning
- Deep Perceptual Enhancement for Medical Image Analysis
- Dynamic PET Image Reconstruction via Non-negative INR Factorization
- AdaSCALE: Adaptive Scaling for OOD Detection
- Partial differential equation system for binarization of degraded document images
- SGNetPose+: Stepwise Goal-Driven Networks with Pose Information for Trajectory Prediction in Autonomous Driving
- GPT-PPG: A GPT-based Foundation Model for Photoplethysmography Signals
- Exploring Bias in over 100 Text-to-Image Generative Models
- SKALD: Learning-Based Shot Assembly for Coherent Multi-Shot Video Creation
- A Survey on Wi-Fi Sensing Generalizability: Taxonomy, Techniques, Datasets, and Future Research Prospects
- Injecting Imbalance Sensitivity for Multi-Task Learning
- Multiplayer Information Asymmetric Bandits in Metric Spaces
- Predicting and Understanding College Student Mental Health with Interpretable Machine Learning
- Efficient Dataset Distillation through Low-Rank Space Sampling
- SQLCritic: Correcting Text-to-SQL Generation via Clause-wise Critic
- Almost Linear Time Consistent Mode Estimation and Quick Shift Clustering
- A Neural Symbolic Model for Space Physics
- LLM-Powered Knowledge Graphs for Enterprise Intelligence and Analytics
- Efficient and Accurate Estimation of Lipschitz Constants for Hybrid Quantum-Classical Decision Models
- Boundary Prompting: Elastic Urban Region Representation via Graph-based Spatial Tokenization
- Enhancing Multilingual Language Models for Code-Switched Input Data
- Regulatory DNA sequence Design with Reinforcement Learning
- Achieving More with Less: Additive Prompt Tuning for Rehearsal-Free Class-Incremental Learning
- Detecting Backdoor Attacks in Federated Learning via Direction Alignment Inspection
- Boundary Regression for Leitmotif Detection in Music Audio
- Two-Dimensional Deep ReLU CNN Approximation for Korobov Functions: A Constructive Approach
- 7ABAW-Compound Expression Recognition via Curriculum Learning
- LabelCoRank: Revolutionizing Long Tail Multi-Label Classification with Co-Occurrence Reranking
- Benign Overfitting and the Geometry of the Ridge Regression Solution in Binary Classification
- Hierarchical Contact-Rich Trajectory Optimization for Multi-Modal Manipulation using Tight Convex Relaxations
- Discriminative versus Generative Approaches to Simulation-based Inference
- Overlap-aware meta-learning attention to enhance hypergraph neural networks for node classification
- Recent Advances in Hypergraph Neural Networks
- Pre-trained Models Succeed in Medical Imaging with Representation Similarity Degradation
- NeRF-VIO: Map-Based Visual-Inertial Odometry with Initialization Leveraging Neural Radiance Fields
- Decoupled Cross-Modal Alignment Network for Text-RGBT Person Retrieval and A High-Quality Benchmark
- 7DGS: Unified Spatial-Temporal-Angular Gaussian Splatting
- Enhancing Sentiment Analysis through Multimodal Fusion: A BERT-DINOv2 Approach
- STEAD: Spatio-Temporal Efficient Anomaly Detection for Time and Compute Sensitive Applications
- BUFFER-X: Towards Zero-Shot Point Cloud Registration in Diverse Scenes
- STRMs: Spatial Temporal Reasoning Models for Vision-Based Localization Rivaling GPS Precision
- CAD-VAE: Leveraging Correlation-Aware Latents for Comprehensive Fair Disentanglement
- Counterfactual Explanations for Model Ensembles Using Entropic Risk Measures
- From Slices to Sequences: Autoregressive Tracking Transformer for Cohesive and Consistent 3D Lymph Node Detection in CT Scans
- The StudyChat Dataset: Analyzing Student Dialogues With ChatGPT in an Artificial Intelligence Course
- Learning Gentle Grasping Using Vision, Sound, and Touch