Papers
Thu 12 Sep 2024
251 papers
- HiRT: Enhancing Robotic Control with Hierarchical Robot TransformersMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- Retro-li: Small-Scale Retrieval Augmented Generation Supporting Noisy Similarity Searches and Domain Shift GeneralizationRetrieval-augmented generation → RAG pipeline design and evaluation
- On the Vulnerability of Applying Retrieval-Augmented Generation within Knowledge-Intensive Application DomainsRetrieval-augmented generation → Privacy and security of RAG
- Towards Opinion Shaping: A Deep Reinforcement Learning Approach in Bot-User InteractionsDeep reinforcement learning methods → RL training of language and agent models
- Generated Data with Fake Privacy: Hidden Dangers of Fine-tuning Large Language Models on Generated DataSynthetic data and self-improvement for LLMs → Privacy-preserving tabular data synthesis
- SoloAudio: Target Sound Extraction with Language-oriented Audio Diffusion TransformerDiffusion models → Audio, speech and music
- Fitted Q-Iteration via Max-Plus-Linear ApproximationOffline RL and imitation learning from data → Offline RL algorithms +1
- Knowledge Tagging with Large Language Model based Multi-Agent SystemLLM agents and tool use → Web, search, and research agents
- Scores as Actions: a framework of fine-tuning diffusion models by continuous-time reinforcement learningDiffusion models → Diffusion and flow policies for robotics +2
- Self-Supervised Inference of Agents in Trustless EnvironmentsLLM agents and tool use → Agent threats, guardrails and governance
- Stochastic Reinforcement Learning with Stability Guarantees for Control of Unknown Nonlinear SystemsDeep reinforcement learning methods → RL theory and sample complexity
- Rethinking Prompting Strategies for Multi-Label Recognition with Partial AnnotationsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Theoretical guarantees in KL for Diffusion Flow MatchingDiffusion models → Flow matching, time series and science
- MedSegMamba: 3D CNN-Mamba Hybrid Architecture for Brain SegmentationState-space sequence models (S4, Mamba) → Mamba for medical image analysis
- DreamHOI: Subject-Driven Generation of 3D Human-Object Interactions with Diffusion PriorsDiffusion models → Video generation
- DreamBeast: Distilling 3D Fantastical Animals with Part-Aware Knowledge TransferDiffusion models → 3D, point cloud and scene generation
- Windows Agent Arena: Evaluating Multi-Modal OS Agents at ScaleLLM agents and tool use → GUI and mobile agents
- Improving Text-guided Object Inpainting with Semantic Pre-inpaintingDiffusion models → 3D, point cloud and scene generation
- Improving Virtual Try-On with Garment-focused Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
- LoRID: Low-Rank Iterative Diffusion for Adversarial PurificationDiffusion models → Robustness, privacy and adversarial aspects
- Dynamic Prompting of Frozen Text-to-Image Diffusion Models for Panoptic Narrative GroundingDiffusion models → Image generation, text-to-image and editing
- TextBoost: Boosting Text Encoder for Personalized Text-to-Image GenerationDiffusion models → Image generation, text-to-image and editing
- IFAdapter: Instance Feature Control for Grounded Text-to-Image GenerationDiffusion models → Image generation, text-to-image and editing
- Source2Synth: Synthetic Data Generation and Curation Grounded in Real Data SourcesSynthetic data and self-improvement for LLMs → Synthetic reasoning data and bootstrapping
- Towards Online Safety Corrections for Robotic Manipulation PoliciesDeep reinforcement learning methods → Safe and constrained RL
- Design Optimization of Nuclear Fusion Reactor through Deep Reinforcement LearningDeep reinforcement learning methods → RL for energy, networks and operations
- LT3SD: Latent Trees for 3D Scene DiffusionDiffusion models → 3D, point cloud and scene generation
- ComAlign: Compositional Alignment in Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- What Makes a Maze Look Like a Maze?Multimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- MagicStyle: Portrait Stylization Based on Reference ImageDiffusion models → Image generation, text-to-image and editing
- Optimal Management of Grid-Interactive Efficient Buildings via Safe Reinforcement LearningDeep reinforcement learning methods → RL for energy, networks and operations
- Securing Large Language Models: Addressing Bias, Misinformation, and Prompt AttacksLLM safety and security → Prompt injection and agent security
- Diffusion-Based Image-to-Image Translation by Noise Correction via Prompt InterpolationDiffusion models → Image generation, text-to-image and editing
- Q-value Regularized Decision ConvFormer for Offline Reinforcement LearningOffline RL and imitation learning from data → Decision transformers and sequence modeling
- Unleashing Worms and Extracting Data: Escalating the Outcome of Attacks against RAG-based Inference in Scale and Severity Using JailbreakingLLM safety and security → Membership inference attacks
- Scribble-Guided Diffusion for Training-free Text-to-Image GenerationDiffusion models → Image generation, text-to-image and editing
- Learning Causally Invariant Reward Functions from Diverse DemonstrationsOffline RL and imitation learning from data → Inverse reinforcement learning +1
- Games for AI Control: Models of Safety Evaluations of AI Deployment ProtocolsLLM safety and security → Prompt injection and agent security
- Autonomous Vehicle Controllers From End-to-End Differentiable SimulationEnd-to-end autonomous driving → Imitation-learning end-to-end planners +1
- WirelessAgent: Large Language Model Agents for Intelligent Wireless NetworksLLM agents and tool use → Agentic AI for wireless networks
- Estimating Atmospheric Variables from Digital Typhoon Satellite Images via Conditional Denoising Diffusion ModelsDiffusion models → Flow matching, time series and science
- Detecting and Defending Against Adversarial Attacks on Automatic Speech Recognition via Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects
- Reinforcement Learning Discovers Efficient Decentralized Graph Path Search StrategiesDeep reinforcement learning methods → RL for games and combinatorial optimization
- Learning Skateboarding for Humanoid Robots through Massively Parallel Reinforcement LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Markovian Foundations for Quasi-Stochastic Approximation in Two Timescales: Extended VersionDeep reinforcement learning methods → RL theory and sample complexity
- ReGentS: Real-World Safety-Critical Driving Scenario Generation Made StableEnd-to-end autonomous driving → Adversarial scenarios and safety testing
- A Spatiotemporal Stealthy Backdoor Attack against Cooperative Multi-Agent Deep Reinforcement LearningLLM safety and security → Prompt injection and agent security
- Alignment with Preference Optimization Is All You Need for LLM SafetyLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks
- Resilient Learning-Based Control Under Denial-of-Service AttacksDeep reinforcement learning methods → Safe and constrained RL
- DiTAS: Quantizing Diffusion Transformers via Enhanced Activation SmoothingDiffusion models → Diffusion foundations and sampling
- LOCKEY: A Novel Approach to Model Authentication and Deepfake TrackingLLM safety and security → Watermarking generated content and models
- Attack End-to-End Autonomous Driving through Module-Wise NoiseEnd-to-end autonomous driving → Adversarial scenarios and safety testing
- DSBench: How Far Are Data Science Agents from Becoming Data Science Experts?LLM reasoning → Reasoning for agents, planning and code +2
- Critically Damped Third-Order Langevin DynamicsDiffusion models → Diffusion foundations and sampling
- Learn from Balance: Rectifying Knowledge Transfer for Long-Tailed ScenariosKnowledge distillation → General knowledge distillation methods
- Influence of Backdoor Paths on Causal Link Prediction
- HyperCausalLP: Causal Link Prediction using Hyper-Relational Knowledge Graph
- DVS: Blood cancer detection using novel CNN-based ensemble approach
- Large Language Model-Guided Semantic Alignment for Human Activity Recognition
- Machine Learning and Econometric Approaches to Fiscal Policies: Understanding Industrial Investment Dynamics in Uruguay (1974-2010)
- Neural Product Importance Sampling via Warp Composition
- EEG-EMG FAConformer: Frequency Aware Conv-Transformer for the fusion of EEG and EMG
- Instance Configuration for Sustainable Job Shop Scheduling
- Early Joint Learning of Emotion Information Makes MultiModal Model Understand You Better
- Portfolio Stress Testing and Value at Risk (VaR) Incorporating Current Market Conditions
- ScriptSmith: A Unified LLM Framework for Enhancing IT Operations via Automated Bash Script Generation, Assessment, and Refinement
- TheraGen: Therapy for Every Generation
- Machine Translation with Large Language Models: Decoder Only vs. Encoder-Decoder
- LogoRA: Local-Global Representation Alignment for Robust Time Series Classification
- meds_reader: A fast and efficient EHR processing library
- Establish seedling quality classification standard for Chrysanthemum efficiently with help of deep clustering algorithm
- DeCLIP: Decoding CLIP representations for deepfake localization
- Introducing CausalBench: A Flexible Benchmark Framework for Causal Analysis and Machine Learning
- Wasserstein Distributionally Robust Multiclass Support Vector Machine
- 360PanT: Training-Free Text-Driven 360-Degree Panorama-to-Panorama Translation
- Federated One-Shot Ensemble Clustering
- Graphical Structural Learning of rs-fMRI data in Heavy Smokers
- Higher-Order Topological Directionality and Directed Simplicial Neural Networks
- Continual Learning in 3D Point Clouds: Employing Spectral Techniques for Exemplar Selection
- Foundation of Calculating Normalized Maximum Likelihood for Continuous Probability Models
- Noisy Low Rank Column-wise Sensing
- The Impact of Large Language Models on Open-source Innovation: Evidence from GitHub Copilot
- Learned Compression for Images and Point Clouds
- FedProphet: Memory-Efficient Federated Adversarial Training via Robust and Consistent Cascade Learning
- E-QUARTIC: Energy Efficient Edge Ensemble of Convolutional Neural Networks for Resource-Optimized Learning
- An Experimental Study of Competitive Market Behavior Through LLMs
- COMEX Copper Futures Volatility Forecasting: Econometric Models and Deep Learning
- Robust Dual Gaussian Splatting for Immersive Human-centric Volumetric Videos
- Bayesian Inverse Graphics for Few-Shot Concept Learning
- Towards Quantifying and Reducing Language Mismatch Effects in Cross-Lingual Speech Anti-Spoofing
- SIG: A Synthetic Identity Generation Pipeline for Generating Evaluation Datasets for Face Recognition
- Digital Volumetric Biopsy Cores Improve Gleason Grading of Prostate Cancer Using Deep Learning
- Real or Robotic? Assessing Whether LLMs Accurately Simulate Qualities of Human Responses in Dialogue
- Detection of Electric Motor Damage Through Analysis of Sound Signals Using Bayesian Neural Networks
- DiReDi: Distillation and Reverse Distillation for AIoT Applications
- Depth on Demand: Streaming Dense Depth from a Low Frame Rate Active Sensor
- AnySkin: Plug-and-play Skin Sensing for Robotic Touch
- Hand-Object Interaction Pretraining from Videos
- Click2Mask: Local Editing with Dynamic Mask Generation
- FlashSplat: 2D to 3D Gaussian Splatting Segmentation Solved Optimally
All 251
- Learning incomplete factorization preconditioners for GMRES
- The Design of Informative Take-Over Requests for Semi-Autonomous Cyber-Physical Systems: Combining Spoken Language and Visual Icons in a Drone-Controller Setting
- OmniQuery: Contextually Augmenting Captured Multimodal Memory to Enable Personal Question Answering
- Style-based Clustering of Visual Artworks and the Play of Neural Style-Representations
- Multi-Model based Federated Learning Against Model Poisoning Attack: A Deep Learning Based Model Selection for MEC Systems
- LLM Honeypot: Leveraging Large Language Models as Advanced Interactive Honeypot Systems
- Model Ensemble for Brain Tumor Segmentation in Magnetic Resonance Imaging
- Photonic Quantum Computers
- CliquePH: Higher-Order Information for Graph Neural Networks through Persistent Homology on Clique Graphs
- Adaptive Language-Guided Abstraction from Contrastive Explanations
- Graph Laplacian-based Bayesian Multi-fidelity Modeling
- VI3DRM:Towards meticulous 3D Reconstruction from Sparse Views via Photo-Realistic Novel View Synthesis
- Machine Learning for Two-Sample Testing under Right-Censored Data: A Simulation Study
- AudioBERT: Audio Knowledge Augmented Language Model
- Gaussian Garments: Reconstructing Simulation-Ready Clothing with Photorealistic Appearance from Multi-View Video
- Fine-tuning Large Language Models for Entity Matching
- Enhancing Canine Musculoskeletal Diagnoses: Leveraging Synthetic Image Data for Pre-Training AI-Models on Visual Documentations
- Identification of head impact locations, speeds, and force based on head kinematics
- Low-Cost Tree Crown Dieback Estimation Using Deep Learning-Based Segmentation
- AD-Lite Net: A Lightweight and Concatenated CNN Model for Alzheimer's Detection from MRI Images
- Learning to Match 2D Keypoints Across Preoperative MR and Intraoperative Ultrasound
- High-Frequency Anti-DreamBooth: Robust Defense against Personalized Image Synthesis
- Open Source Infrastructure for Automatic Cell Segmentation
- Cross-Attention Based Influence Model for Manual and Nonmanual Sign Language Analysis
- On the Role of Context in Reading Time Prediction
- SDformer: Efficient End-to-End Transformer for Depth Completion
- LLM-POTUS Score: A Framework of Analyzing Presidential Debates with Large Language Models
- Effective Segmentation of Post-Treatment Gliomas Using Simple Approaches: Artificial Sequence Generation and Ensemble Models
- The JPEG Pleno Learning-based Point Cloud Coding Standard: Serving Man and Machine
- GAZEploit: Remote Keystroke Inference Attack by Gaze Estimation from Avatar Views in VR/MR Devices
- Review of Recent Advances in Gaussian Process Regression Methods
- Towards a graph-based foundation model for network traffic analysis
- WhisperNER: Unified Open Named Entity and Speech Recognition
- DEMAU: Decompose, Explore, Model and Analyse Uncertainties
- The Faetar Benchmark: Speech Recognition in a Very Under-Resourced Language
- Bayesian Self-Training for Semi-Supervised 3D Segmentation
- The CLC-UKET Dataset: Benchmarking Case Outcome Prediction for the UK Employment Tribunal
- Optimizing Falsification for Learning-Based Control Systems: A Multi-Fidelity Bayesian Approach
- EZIGen: Enhancing zero-shot personalized image generation with precise subject encoding and decoupled guidance
- SimMAT: Exploring Transferability from Vision Foundation Models to Any Image Modality
- TravelAgent: An AI Assistant for Personalized Travel Planning
- AutoPET Challenge: Tumour Synthesis for Data Augmentation
- Self-Supervised Learning of Iterative Solvers for Constrained Optimization
- InvDesFlow: An AI-driven materials inverse design workflow to explore possible high-temperature superconductors
- Spatial Adaptation Layer: Interpretable Domain Adaptation For Biosignal Sensor Array Applications
- Expansive Supervision for Neural Radiance Field
- Predicting and Accelerating Nanomaterials Synthesis Using Machine Learning Featurization
- Thermal3D-GS: Physics-induced 3D Gaussians for Thermal Infrared Novel-view Synthesis
- Heterogeneous Sheaf Neural Networks
- LED: Light Enhanced Depth Estimation at Night
- iLLuMinaTE: An LLM-XAI Framework Leveraging Social Science Explanation Theories Towards Actionable Student Performance Feedback
- Edge-Wise Graph-Instructed Neural Networks
- Network Anomaly Traffic Detection via Multi-view Feature Fusion
- Multiplex Graph Contrastive Learning with Soft Negatives
- OCTAMamba: A State-Space Model Approach for Precision OCTA Vasculature Segmentation
- Privacy-preserving federated prediction of pain intensity change based on multi-center survey data
- Depth Matters: Exploring Deep Interactions of RGB-D for Semantic Segmentation in Traffic Scenes
- Enhancing Few-Shot Image Classification through Learnable Multi-Scale Embedding and Attention Mechanisms
- SPARK: Self-supervised Personalized Real-time Monocular Face Capture
- Sparse R-CNN OBB: Ship Target Detection in SAR Images Based on Oriented Sparse Proposals
- Deep Height Decoupling for Precise Vision-based 3D Occupancy Prediction
- Localized Schr"odinger Bridge Sampler
- Locality-aware Cross-modal Correspondence Learning for Dense Audio-Visual Events Localization
- ProbTalk3D: Non-Deterministic Emotion Controllable Speech-Driven 3D Facial Animation Synthesis Using VQ-VAE
- Do Vision Foundation Models Enhance Domain Generalization in Medical Image Segmentation?
- Enhanced Online Grooming Detection Employing Context Determination and Message-Level Analysis
- Rapid Parameter Estimation for Extreme Mass Ratio Inspirals Using Machine Learning
- What is the Relationship between Tensor Factorizations and Circuits (and How Can We Exploit it)?
- Taylor-Sensus Network: Embracing Noise to Enlighten Uncertainty for Scientific Data
- Control+Shift: Generating Controllable Distribution Shifts
- Modeling Human Responses by Ordinal Archetypal Analysis
- Task-Augmented Cross-View Imputation Network for Partial Multi-View Incomplete Multi-Label Classification
- A convolutional neural network approach to deblending seismic data
- A framework for measuring the training efficiency of a neural architecture
- Tidal MerzA: Combining affective modelling and autonomous code generation through Reinforcement Learning
- InterACT: Inter-dependency Aware Action Chunking with Hierarchical Attention Transformers for Bimanual Manipulation
- UGAD: Universal Generative AI Detector utilizing Frequency Fingerprints
- Tera-SpaceCom: GNN-based Deep Reinforcement Learning for Joint Resource Allocation and Task Offloading in TeraHertz Band Space Networks
- From COCO to COCO-FP: A Deep Dive into Background False Positives for COCO Detectors
- FACT: Feature Adaptive Continual-learning Tracker for Multiple Object Tracking
- Conformal Distributed Remote Inference in Sensor Networks Under Reliability and Communication Constraints
- MambaMIC: An Efficient Baseline for Microscopic Image Classification with State Space Models
- A corpus-based investigation of pitch contours of monosyllabic words in conversational Taiwan Mandarin
- BLens: Contrastive Captioning of Binary Functions using Ensemble Embedding
- UNIT: Unsupervised Online Instance Segmentation through Time
- Graph Neural Networks for Parkinsons Disease Detection
- Non-negative Weighted DAG Structure Learning
- Randomized Spline Trees for Functional Data Classification: Theory and Application to Environmental Time Series
- Learning Rules from KGs Guided by Language Models
- Context-Aware Optimal Transport Learning for Retinal Fundus Image Enhancement
- Audio Decoding by Inverse Problem Solving
- Improve Machine Learning carbon footprint using Nvidia GPU and Mixed Precision training for classification models -- Part I
- Enhancing Cross-Market Recommendation System with Graph Isomorphism Networks: A Novel Approach to Personalized User Experience
- Real-time Multi-view Omnidirectional Depth Estimation for Real Scenarios based on Teacher-Student Learning with Unlabeled Data
- TSELM: Target Speaker Extraction using Discrete Tokens and Language Models
- FPMT: Enhanced Semi-Supervised Model for Traffic Incident Detection
- Structured Pruning for Efficient Visual Place Recognition
- Efficient and Reliable Vector Similarity Search Using Asymmetric Encoding with NAND-Flash for Many-Class Few-Shot Learning
- Bridging Paintings and Music -- Exploring Emotion based Music Generation through Paintings
- Deep Multimodal Learning with Missing Modality: A Survey
- Online vs Offline: A Comparative Study of First-Party and Third-Party Evaluations of Social Chatbots
- Over-the-Air Federated Learning via Weighted Aggregation
- Selling Joint Ads: A Regret Minimization Perspective
- What is YOLOv9: An In-Depth Exploration of the Internal Features of the Next-Generation Object Detector
- Controllable Synthetic Clinical Note Generation with Privacy Guarantees
- FedHide: Federated Learning by Hiding in the Neighbors
- SURGIVID: Annotation-Efficient Surgical Video Object Discovery
- GateAttentionPose: Enhancing Pose Estimation with Agent Attention and Improved Gated Convolutions
- Quaternion Nuclear Norm minus Frobenius Norm Minimization for color image reconstruction
- WildFit: Autonomous In-situ Model Adaptation for Resource-Constrained IoT Systems
- Efficient Learning of Balanced Signed Graphs via Iterative Linear Programming
- Lagrange Duality and Compound Multi-Attention Transformer for Semi-Supervised Medical Image Segmentation
- Full-text Error Correction for Chinese Speech Recognition with Large Language Model
- Stable Language Model Pre-training by Reducing Embedding Variability
- XMOL: Explainable Multi-property Optimization of Molecules
- Supporting Online Discussions: Integrating AI Into the adhocracy+ Participation Platform To Enhance Deliberation
- AFFSegNet: Adaptive Feature Fusion Segmentation Network for Microtumors and Multi-Organ Segmentation
- Training Spiking Neural Networks via Augmented Direct Feedback Alignment
- ROCAS: Root Cause Analysis of Autonomous Driving Accidents via Cyber-Physical Co-mutation
- Layer-aware TDNN: Speaker Recognition Using Multi-Layer Features from Pre-Trained Models
- Mesh-based Super-Resolution of Fluid Flows with Multiscale Graph Neural Networks
- Reimagining Linear Probing: Kolmogorov-Arnold Networks in Transfer Learning
- Exploring Kolmogorov-Arnold networks for realistic image sharpness assessment
- SwinGS: Sliding Window Gaussian Splatting for Volumetric Video Streaming with Arbitrary Length
- From Uncertainty to Clarity: Uncertainty-Guided Class-Incremental Learning for Limited Biomedical Samples via Semantic Expansion
- Relevance for Human Robot Collaboration
- GatedUniPose: A Novel Approach for Pose Estimation Combining UniRepLKNet and Gated Convolution
- Efficient Privacy-Preserving KAN Inference Using Homomorphic Encryption
- Top-down Activity Representation Learning for Video Question Answering
- Multi-object event graph representation learning for Video Question Answering
- Learning Brain Tumor Representation in 3D High-Resolution MR Images via Interpretable State Space Models
- Ruri: Japanese General Text Embeddings
- Transfer Learning Applied to Computer Vision Problems: Survey on Current Progress, Limitations, and Opportunities
- DFDG: Data-Free Dual-Generator Adversarial Distillation for One-Shot Federated Learning
- Large Language Models are Pattern Matchers: Editing Semi-Structured and Structured Documents with ChatGPT
- Music auto-tagging in the long tail: A few-shot approach
- GRE^2-MDCL: Graph Representation Embedding Enhanced via Multidimensional Contrastive Learning
- Advancing Depth Anything Model for Unsupervised Monocular Depth Estimation in Endoscopy
- FIReStereo: Forest InfraRed Stereo Dataset for UAS Depth Perception in Visually Degraded Environments
- CollaMamba: Efficient Collaborative Perception with Cross-Agent Spatial-Temporal State Space Model
- Experimenting with Legal AI Solutions: The Case of Question-Answering for Access to Justice
- Virtual Node Generation for Node Classification in Sparsely-Labeled Graphs
- Dataset-Free Weight-Initialization on Restricted Boltzmann Machine
- Super Monotonic Alignment Search
- TMFNet: Two-Stream Multi-Channels Fusion Networks for Color Image Operation Chain Detection
- Enhancing Q&A Text Retrieval with Ranking Models: Benchmarking, fine-tuning and deploying Rerankers for RAG
- Modeling Information Narrative Detection and Evolution on Telegram during the Russia-Ukraine War
- Open-Vocabulary Remote Sensing Image Semantic Segmentation
- Ratio Divergence Learning Using Target Energy in Restricted Boltzmann Machines: Beyond Kullback--Leibler Divergence Learning
- An Unsupervised Dialogue Topic Segmentation Model Based on Utterance Rewriting
- Transformed Physics-Informed Neural Networks for The Convection-Diffusion Equation