Papers
Wed 31 Jul 2024
254 papers
- CL-DiffPhyCon: Closed-loop Diffusion Control of Complex Physical SystemsDiffusion models → Diffusion and flow policies for robotics
- Combining audio control and style transfer using latent diffusionDiffusion models → Audio, speech and music
- Finch: Prompt-guided Key-Value Cache CompressionRetrieval-augmented generation → Generation and context integration +1
- Hierarchical Conditioning of Diffusion Models Using Tree-of-Life for Studying Species EvolutionDiffusion models → Diffusion foundations and sampling
- Generative Learning of the Solution of Parametric Partial Differential Equations Using Guided Diffusion Models and Virtual ObservationsDiffusion models → Flow matching, time series and science
- Formal Ethical Obligations in Reinforcement Learning Agents: Verification and Policy UpdatesDeep reinforcement learning methods → Interpretable and logic-guided RL
- Inductive or Deductive? Rethinking the Fundamental Reasoning Abilities of LLMsLLM reasoning → Reasoning benchmarks and evaluation
- Measuring Progress in Dictionary Learning for Language Model Interpretability with Board Game ModelsMechanistic interpretability → SAE features and their applications
- Adaptive Transit Signal Priority based on Deep Reinforcement Learning and Connected Vehicles in a Traffic Microsimulation EnvironmentDeep reinforcement learning methods → RL for autonomous driving and traffic
- Localized Gaussian Splatting Editing with Contextual AwarenessDiffusion models → 3D, point cloud and scene generation
- On the Perturbed States for Transformed Input-robust Reinforcement LearningDeep reinforcement learning methods → Adversarial robustness and RL in finance
- Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A SurveyMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Vision-Language Model Based Handwriting VerificationMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- Tulip Agent -- Enabling LLM-Based Agents to Solve Tasks Using Large Tool LibrariesLLM agents and tool use → General LLM agent frameworks and benchmarks
- RainMamba: Enhanced Locality Learning with State Space Models for Video DerainingState-space sequence models (S4, Mamba) → Vision Mamba backbones
- Paying More Attention to Image: A Training-Free Method for Alleviating Hallucination in LVLMsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- MoMa: Efficient Early-Fusion Pre-training with Mixture of Modality-Aware ExpertsMixture-of-experts → Multimodal MoE models
- ReplanVLM: Replanning Robotic Tasks with Visual Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Human-Machine Co-Adaptation for Robot-Assisted Rehabilitation via Dual-Agent Multiple Model Reinforcement Learning (DAMMRL)Deep reinforcement learning methods → RL for robot locomotion and manipulation
- Detecting, Explaining, and Mitigating Memorization in Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Adaptive Retrieval-Augmented Generation for Conversational SystemsRetrieval-augmented generation → Conversational and speech RAG
- Tora: Trajectory-oriented Diffusion Transformer for Video GenerationDiffusion models → Video generation
- Cross-modality Information Check for Detecting Jailbreaking in Multimodal Large Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- MTA-CLIP: Language-Guided Semantic Segmentation with Mask-Text AlignmentMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Towards Achieving Human Parity on End-to-end Simultaneous Speech Translation via LLM AgentLLM agents and tool use → General LLM agent frameworks and benchmarks
- Robust Simultaneous Multislice MRI Reconstruction Using Slice-Wise Learned Generative Diffusion PriorsDiffusion models → Medical imaging and segmentation
- PMoE: Progressive Mixture of Experts with Asymmetric Transformer for Continual LearningMixture-of-experts → MoE large language models
- Black Box Meta-Learning Intrinsic RewardsDeep reinforcement learning methods → Deep RL algorithms and representations
- ControlMLLM: Training-Free Visual Prompt Learning for Multimodal Large Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Can LLMs "Reason" in Music? An Evaluation of LLMs' Capability of Music Understanding and GenerationLLM reasoning → Audio-language model reasoning
- Fine-gained Zero-shot Video SamplingDiffusion models → Video generation
- MarvelOVD: Marrying Object Recognition and Vision-Language Models for Robust Open-Vocabulary Object DetectionMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
- KemenkeuGPT: Leveraging a Large Language Model on Indonesia's Government Financial Data and Regulations to Enhance Decision MakingRetrieval-augmented generation → Legal and financial RAG
- Improving Faithfulness of Large Language Models in Summarization via Sliding Generation and Self-ConsistencyLLM reasoning → Reasoning benchmarks and evaluation
- MLLM Is a Strong Reranker: Advancing Multimodal Retrieval-augmented Generation via Knowledge-enhanced Reranking and Noise-injected TrainingMultimodal LLMs / vision-language models → Document understanding and multimodal RAG +1
- Deformable 3D Shape Diffusion ModelDiffusion models → 3D, point cloud and scene generation
- Prompting Medical Large Vision-Language Models to Diagnose Pathologies by Visual Question AnsweringMultimodal LLMs / vision-language models → Medical vision-language models
- Tree-of-Traversals: A Zero-Shot Reasoning Algorithm for Augmenting Black-box Language Models with Knowledge GraphsLLM reasoning → Knowledge- and tool-augmented reasoning
- Image-Based Deep Reinforcement Learning with Intrinsically Motivated Stimuli: On the Execution of Complex Robotic TasksDeep reinforcement learning methods → Deep RL algorithms and representations
- Chat2Layout: Interactive 3D Furniture Layout with a Multimodal LLMMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- MetaOpenFOAM: an LLM-based multi-agent framework for CFDLLM agents and tool use → Web, search, and research agents
- Diff-Cleanse: Identifying and Mitigating Backdoor Attacks in Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
- State-observation augmented diffusion model for nonlinear assimilation with unknown dynamicsDiffusion models → Flow matching, time series and science
- SAKR: Enhancing Retrieval-Augmented Generation via Streaming Algorithm and K-Means ClusteringRetrieval-augmented generation → RAG pipeline design and evaluation
- SimpleLLM4AD: An End-to-End Vision-Language Model with Graph Visual Question Answering for Autonomous DrivingMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection +1
- Knowledge Pyramid Construction for Multi-Level Retrieval-Augmented GenerationRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- Bellman Unbiasedness: Toward Provably Efficient Distributional Reinforcement Learning with General Value Function ApproximationDeep reinforcement learning methods → RL theory and sample complexity
- Can ChatGPT assist visually impaired people with micro-navigation?
- First Analysis of the EU Artifical Intelligence Act: Towards a Global Standard for Trustworthy AI?
- SepAl: Sepsis Alerts On Low Power Wearables With Digital Biomarkers and On-Device Tiny Machine Learning
- Segment Anything for Videos: A Systematic Survey
- A Culturally-Aware Tool for Crowdworkers: Leveraging Chronemics to Support Diverse Work Styles
- Learned Single-Pass Multitasking Perceptual Graphics for Immersive Displays
- LADDER: Language-Driven Slice Discovery and Error Rectification in Vision Classifiers
- Space-scale Exploration of the Poor Reliability of Deep Learning Models: the Case of the Remote Sensing of Rooftop Photovoltaic Systems
- SSRFlow: Semantic-aware Fusion with Spatial Temporal Re-embedding for Real-world Scene Flow
- Evidence and quantification of cooperation of driving agents in mixed traffic flow
- Enabling Fast and Accurate Crowdsourced Annotation for Elevation-Aware Flood Extent Mapping
- Semantic Successive Refinement: A Generative AI-aided Semantic Communication Framework
- GPT-3 Powered Information Extraction for Building Robust Knowledge Bases
- Optimizing Disease Prediction with Artificial Intelligence Driven Feature Selection and Attention Networks
- Recording First-person Experiences to Build a New Type of Foundation Model
- Visual Analysis of Multi-outcome Causal Graphs
- Convergence rates of stochastic gradient method with independent sequences of step-size and momentum weight
- Patient-centered data science: an integrative framework for evaluating and predicting clinical outcomes in the digital health era
- UnPaSt: unsupervised patient stratification by biclustering of omics data
- Automated Software Vulnerability Static Code Analysis Using Generative Pre-Trained Transformer Models
- Resilience and Security of Deep Neural Networks Against Intentional and Unintentional Perturbations: Survey and Research Challenges
- S-SYNTH: Knowledge-Based, Synthetic Generation of Skin Images
- CC-SAM: SAM with Cross-feature Attention and Context for Ultrasound Image Segmentation
- Adapting Skills to Novel Grasps: A Self-Supervised Approach
- CREW: Facilitating Human-AI Teaming Research
- Strike the Balance: On-the-Fly Uncertainty based User Interactions for Long-Term Video Object Segmentation
- Review of Explainable Graph-Based Recommender Systems
- Non-convolutional Graph Neural Networks
- A Taxonomy of Stereotype Content in Large Language Models
- Automatic Generation of Behavioral Test Cases For Natural Language Processing Using Clustering and Prompting
- Moderating Group Conversation Dynamics with Social Robots
- StyleRF-VolVis: Style Transfer of Neural Radiance Fields for Expressive Volume Visualization
- Distributed In-Context Learning under Non-IID Among Clients
- Correcting Negative Bias in Large Language Models through Negative Attention Score Alignment
- Distributionally Robust Optimization as a Scalable Framework to Characterize Extreme Value Distributions
- Vera Verto: Multimodal Hijacking Attack
- Semantic Codebook Learning for Dynamic Recommendation Models
- A Course Shared Task on Evaluating LLM Output for Clinical Questions
- Gemma 2: Improving Open Language Models at a Practical Size
- Certifying Robustness of Learning-Based Keypoint Detection and Pose Estimation Methods
- Automated Sperm Morphology Analysis Based on Instance-Aware Part Segmentation
- Preference-Based Abstract Argumentation for Case-Based Reasoning (with Appendix)
- WAS: Dataset and Methods for Artistic Text Segmentation
- ReLiK: Retrieve and LinK, Fast and Accurate Entity Linking and Relation Extraction on an Academic Budget
- From Attributes to Natural Language: A Survey and Foresight on Text-based Person Re-identification
- Execution Semantics of Behavior Trees in Robotic Applications
- Approximating Rayleigh Scattering in Exoplanetary Atmospheres using Physics-informed Neural Networks (PINNs)
- TASI Lectures on Physics for Machine Learning
- GOProteinGNN: Leveraging Protein Knowledge Graphs for Protein Representation Learning
- Temporal Subspace Clustering for Molecular Dynamics Data
- Areas of Improvement for Autonomous Vehicles: A Machine Learning Analysis of Disengagement Reports
- Algorithms for Collaborative Machine Learning under Statistical Heterogeneity
- Con4m: Context-aware Consistency Learning Framework for Segmented Time Series Classification
All 254
- Barlow Twins Deep Neural Network for Advanced 1D Drug-Target Interaction Prediction
- Enhanced Fault Detection and Cause Identification Using Integrated Attention Mechanism
- A New Type of Foundation Model Based on Recordings of People's Emotions and Physiology
- Need of AI in Modern Education: in the Eyes of Explainable AI (xAI)
- Deceptive AI systems that give explanations are more convincing than honest AI systems and can amplify belief in misinformation
- Safetywashing: Do AI Safety Benchmarks Actually Measure Safety Progress?
- Deep Learning for Options Trading: An End-To-End Approach
- Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
- The Llama 3 Herd of Models
- ShieldGemma: Generative AI Content Moderation Based on Gemma
- Learning Video Context as Interleaved Multimodal Sequences
- Characterizing User Archetypes and Discussions on Scored.co
- Diagnostic Runtime Monitoring with Martingales
- HGOE: Hybrid External and Internal Graph Outlier Exposure for Graph Out-of-Distribution Detection
- Beyond Spectral Decomposition: Bayesian Contrastive Learning and its Non-negative Formulation via Factor Analysis
- A Federated Learning-Friendly Approach for Parameter-Efficient Fine-Tuning of SAM in 3D Segmentation
- Leveraging Self-Supervised Learning for Fetal Cardiac Planes Classification using Ultrasound Scan Videos
- EMatch: A Unified Framework for Event-based Optical Flow and Stereo Matching
- ParLS-PBO: A Parallel Local Search Solver for Pseudo Boolean Optimization
- Artificial Intelligence Approaches for Energy Efficiency: A Review
- Open-Vocabulary Audio-Visual Semantic Segmentation
- Assessing the State of AI Policy
- UMMAN: Unsupervised Multi-graph Merge Adversarial Network for Disease Prediction Based on Intestinal Flora
- Social Learning through Interactions with Other Agents: A Survey
- CEAR: Automatic construction of a knowledge graph of chemical entities and roles from scientific literature
- Hyper-parameter tuning for text guided image editing
- TransferTOD: A Generalizable Chinese Multi-Domain Task-Oriented Dialogue System with Transfer Capabilities
- Explainable Artificial Intelligence for Quantifying Interfering and High-Risk Behaviors in Autism Spectrum Disorder in a Real-World Classroom Environment Using Privacy-Preserving Video Analysis
- Dynamic Object Queries for Transformer-based Incremental Object Detection
- Expressive Whole-Body 3D Gaussian Avatar
- Synthetic Simplicity: Unveiling Bias in Medical Data Augmentation
- Dynamic Universal Approximation Theory: Foundations for Parallelism in Neural Networks
- Synth-Empathy: Towards High-Quality Synthetic Empathy Data
- An explainable vision transformer with transfer learning based efficient drought stress identification
- A State-of-the-Art Review of Computational Models for Analyzing Longitudinal Wearable Sensor Data in Healthcare
- Beat this! Accurate beat tracking without DBN postprocessing
- Comgra: A Tool for Analyzing and Debugging Neural Networks
- Spatial Transformer Network YOLO Model for Agricultural Object Detection
- Human interaction classifier for LLM based chatbot
- Regime-Aware Time Weighting for Physics-Informed Neural Networks
- MSA2Net: Multi-scale Adaptive Attention-guided Network for Medical Image Segmentation
- Quality Control for Radiology Report Generation Models via Auxiliary Auditing Components
- MART: MultiscAle Relational Transformer Networks for Multi-agent Trajectory Prediction
- Zero-Shot Cross-Domain Dialogue State Tracking via Dual Low-Rank Adaptation
- RoadFormer+: Delivering RGB-X Scene Parsing through Scale-Aware Information Decoupling and Advanced Heterogeneous Feature Fusion
- TAROT: Task-Oriented Authorship Obfuscation Using Policy Optimization Methods
- Extended Fiducial Inference: Toward an Automated Process of Statistical Inference
- EZSR: Event-based Zero-Shot Recognition
- Between the AI and Me: Analysing Listeners' Perspectives on AI- and Human-Composed Progressive Metal Music
- Enhancing Partially Spoofed Audio Localization with Boundary-aware Attention Mechanism
- Ironing the Graphs: Toward a Correct Geometric Analysis of Large-Scale Graphs
- MicroMIL: Graph-Based Multiple Instance Learning for Context-Aware Diagnosis with Microscopic Images
- Higher order quantum reservoir computing for non-intrusive reduced-order models
- Evaluating SAM2's Role in Camouflaged Object Detection: From SAM to SAM2
- Measuring What Matters: Intrinsic Distance Preservation as a Robust Metric for Embedding Quality
- Adaptive Mix for Semi-Supervised Medical Image Segmentation
- InScope: A New Real-world 3D Infrastructure-side Collaborative Perception Dataset for Open Traffic Scenarios
- Voxel Scene Graph for Intracranial Hemorrhage
- A Performance Study of LLM-Generated Code on Leetcode
- Multi-Site Class-Incremental Learning with Weighted Experts in Echocardiography
- TRGR: Transmissive RIS-aided Gait Recognition Through Walls
- Multi-agent reinforcement learning for the control of three-dimensional Rayleigh-B'enard convection
- Generative Sentiment Analysis via Latent Category Distribution and Constrained Decoding
- Operator-based semantics for choice programs: is choosing losing? (full version)
- Conditioned Prompt-Optimization for Continual Deepfake Detection
- CXSimulator: A User Behavior Simulation using LLM Embeddings for Web-Marketing Campaign Assessment
- Tracing Intricate Cues in Dialogue: Joint Graph Structure and Sentiment Dynamics for Multimodal Emotion Recognition
- Probabilistic Scoring Lists for Interpretable Machine Learning
- Data Contamination Report from the 2024 CONDA Shared Task
- Skeleton-Based Action Recognition with Spatial-Structural Graph Convolution
- Tabular Data Augmentation for Machine Learning: Progress and Prospects of Embracing Generative AI
- The Impacts of AI Avatar Appearance and Disclosure on User Motivation
- PhysFlow: Skin tone transfer for remote heart rate estimation through conditional normalizing flows
- A Simple Low-bit Quantization Framework for Video Snapshot Compressive Imaging
- Expanding the Medical Decathlon dataset: segmentation of colon and colorectal cancer from computed tomography images
- Interpreting and learning voice commands with a Large Language Model for a robot system
- PEAR: Phrase-Based Hand-Object Interaction Anticipation
- FSSC: Federated Learning of Transformer Neural Networks for Semantic Image Communication
- Root Cause Analysis Of Productivity Losses In Manufacturing Systems Utilizing Ensemble Machine Learning
- MaskUno: Switch-Split Block For Enhancing Instance Segmentation
- Mitral Regurgitation Recognition based on Unsupervised Out-of-Distribution Detection with Residual Diffusion Amplification
- Generative Expressive Conversational Speech Synthesis
- Explainable and Controllable Motion Curve Guided Cardiac Ultrasound Video Generation
- Maverick: Efficient and Accurate Coreference Resolution Defying Recent Trends
- Breaking the Hourglass Phenomenon of Residual Quantization: Enhancing the Upper Bound of Generative Retrieval
- Parallel Strategies for Best-First Generalized Planning
- eSPARQL: Representing and Reconciling Agnostic and Atheistic Beliefs in RDF-star Knowledge Graphs
- On the Problem of Text-To-Speech Model Selection for Synthetic Data Generation in Automatic Speech Recognition
- An Invertible State Space for Process Trees
- Deep Learning-Based Longitudinal Prediction of Childhood Myopia Progression Using Fundus Image Sequences and Baseline Refraction Data
- Multi-agent Assessment with QoS Enhancement for HD Map Updates in a Vehicular Network
- StreetSurfaceVis: a dataset of crowdsourced street-level imagery annotated by road surface type and quality
- TinyChirp: Bird Song Recognition Using TinyML Models on Low-power Wireless Acoustic Sensors
- Navigating Beyond Instructions: Vision-and-Language Navigation in Obstructed Environments
- Forecasting Future Videos from Novel Views via Disentangled 3D Scene Representation
- Accelerating Image Super-Resolution Networks with Pixel-Level Classification
- QuestGen: Effectiveness of Question Generation Methods for Fact-Checking Applications
- A Plug-and-Play Method for Rare Human-Object Interactions Detection by Bridging Domain Gap
- Enriching thermal point clouds of buildings using semantic 3D building models
- Transient anisotropic kernel for probabilistic learning on manifolds
- Analyzing the impact of semantic LoD3 building models on image-based vehicle localization
- Cost-Effective Hallucination Detection for LLMs
- Revisiting Tampered Scene Text Detection in the Era of Generative AI
- Whitney extensions on symmetric spaces
- FTuner: A Fast Dynamic Shape Tensors Program Auto-Tuner for Deep Learning Compilers
- Dancing in Chains: Reconciling Instruction Following and Faithfulness in Language Models
- VIPeR: Visual Incremental Place Recognition with Adaptive Mining and Continual Learning
- Towards interfacing large language models with ASR systems using confidence measures and prompting
- Benchmarking Multi-dimensional AIGC Video Quality Assessment: A Dataset and Unified Model
- Deep Fr'echet Regression
- DD-rPPGNet: De-interfering and Descriptive Feature Learning for Unsupervised rPPG Estimation
- Force Sensing Guided Artery-Vein Segmentation via Sequential Ultrasound Images
- Design and Development of Laughter Recognition System Based on Multimodal Fusion and Deep Learning
- SmileyNet -- Towards the Prediction of the Lottery by Reading Tea Leaves with AI
- GEGA: Graph Convolutional Networks and Evidence Retrieval Guided Attention for Enhanced Document-level Relation Extraction
- Identity-Consistent Diffusion Network for Grading Knee Osteoarthritis Progression in Radiographic Imaging
- An Extended Kalman Filter Integrated Latent Feature Model on Dynamic Weighted Directed Graphs
- Dynamic Gesture Recognition in Ultra-Range Distance for Effective Human-Robot Interaction
- Completely Parameter-Free Single-Loop Algorithms for Nonconvex-Concave Minimax Problems
- ESIQA: Perceptual Quality Assessment of Vision-Pro-based Egocentric Spatial Images
- ProSpec RL: Plan Ahead, then Execute
- Small Object Few-shot Segmentation for Vision-based Industrial Inspection
- Differentially Private Block-wise Gradient Shuffle for Deep Learning
- Dual-Constrained Dynamical Neural ODEs for Ambiguity-aware Continuous Emotion Prediction
- MIST: A Simple and Scalable End-To-End 3D Medical Imaging Segmentation Framework
- High-throughput 3D shape completion of potato tubers on a harvester
- On-the-fly Point Feature Representation for Point Clouds Analysis
- CAMAv2: A Vision-Centric Approach for Static Map Element Annotation
- Performance of Recent Large Language Models for a Low-Resourced Language
- Knowledge-Guided Prompt Learning for Lifespan Brain MR Image Segmentation
- STANet: A Novel Spatio-Temporal Aggregation Network for Depression Classification with Small and Unbalanced FMRI Data
- Big Cooperative Learning
- Pathology Foundation Models
- Beyond Silent Letters: Amplifying LLMs in Emotion Recognition with Vocal Nuances
- Efficient unsupervised domain adaptation via self-supervised vision transformer and synergistic cross-domain alignment
- MSMA: Multi-agent Trajectory Prediction in Connected and Autonomous Vehicle Environment with Multi-source Data Integration
- Enhanced Self-Checkout System for Retail Based on Improved YOLOv10
- Who should I trust? A Visual Analytics Approach for Comparing Net Load Forecasting Models
- A Vectorization Method Induced By Maximal Margin Classification For Persistent Diagrams
- Decentralized and Uncoordinated Learning of Stable Matchings: A Game-Theoretic Approach
- TrackSorter: A Transformer-based sorting algorithm for track finding in High Energy Physics
- Fine-grained Metrics for Point Cloud Semantic Segmentation
- Robust Box Prompt based SAM for Medical Image Segmentation
- FedBChain: A Blockchain-enabled Federated Learning Framework for Improving DeepConvLSTM with Comparative Strategy Insights
- Unlocking the Potential of Binding Corporate Rules (BCRs) in Health Data Transfers
- Fi2VTS: Time Series Forecasting Via Capturing Intra- and Inter-Variable Variations in the Frequency Domain
- Enhanced Uncertainty Estimation in Ultrasound Image Segmentation with MSU-Net
- Automated Quantification of Hyperreflective Foci in SD-OCT With Diabetic Retinopathy
- DEF-oriCORN: efficient 3D scene understanding for robust language-directed manipulation without demonstrations
- DDU-Net: A Domain Decomposition-Based CNN for High-Resolution Image Segmentation on Multiple GPUs
- Model Attribution in LLM-Generated Disinformation: A Domain Generalization Approach with Supervised Contrastive Learning
- Outlier Detection in Large Radiological Datasets using UMAP
- Leveraging Adaptive Implicit Representation Mapping for Ultra High-Resolution Image Segmentation
- Lifelong Person Search