Papers
Wed 27 Nov 2024
325 papers
- MLLM-Search: A Zero-Shot Approach to Finding People using Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- ElectroVizQA: How well do Multi-modal LLMs perform in Electronics Visual Question Answering?Multimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Steering Rectified Flow Models in the Vector Field for Controlled Image GenerationDiffusion models → Flow matching, time series and science
- Mixture of Cache-Conditional Experts for Efficient Mobile Device InferenceMixture-of-experts → Efficient MoE training and inference systems
- Dynamic Non-Prehensile Object Transport via Model-Predictive Reinforcement LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Unpacking the Individual Components of Diffusion PolicyDiffusion models → Diffusion and flow policies for robotics +1
- Visual Error Patterns in Multi-Modal AI: A Statistical ApproachMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- ELEMENTAL: Interactive Learning from Demonstrations and Vision-Language Models for Reward Design in RoboticsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- FaithDiff: Unleashing Diffusion Priors for Faithful Image Super-resolutionDiffusion models → Inverse problems and image restoration
- All Seeds Are Not Equal: Enhancing Compositional Text-to-Image Generation with Reliable Random SeedsDiffusion models → Image generation, text-to-image and editing
- SEUF: Is Unlearning One Expert Enough for Mixture-of-Experts LLMs?Mixture-of-experts → MoE large language models +1
- Generative Visual Communication in the Era of Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Explainable deep learning improves human mental models of self-driving carsEnd-to-end autonomous driving → End-to-end system architecture
- Evaluating Vision-Language Models as Evaluators in Path PlanningLLM reasoning → Spatial and embodied reasoning +1
- Random Walks with Tweedie: A Unified View of Score-Based Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- An indicator for effectiveness of text-to-image guardrails utilizing the Single-Turn Crescendo Attack (STCA)LLM safety and security → Vision-language and text-to-image safety
- Immune: Improving Safety Against Jailbreaks in Multi-modal LLMs via Inference-Time AlignmentLLM reasoning → Reasoning for agents, planning and code +3
- MatchDiffusion: Training-free Generation of Match-cutsDiffusion models → Video generation
- Embodied Red Teaming for Auditing Robotic Foundation ModelsLLM safety and security → Prompt injection and agent security
- Active Data Curation Effectively Distills Large-Scale Multimodal ModelsKnowledge distillation → Multimodal distillation
- AC3D: Analyzing and Improving 3D Camera Control in Video Diffusion TransformersDiffusion models → Video generation
- 3D Scene Graph Guided Vision-Language Pre-trainingMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- SpotLight: Shadow-Guided Object Relighting via DiffusionDiffusion models → 3D, point cloud and scene generation
- Spatiotemporal Skip Guidance for Enhanced Video Diffusion SamplingDiffusion models → Diffusion foundations and sampling
- HoliSDiP: Image Super-Resolution via Holistic Semantics and Diffusion PriorDiffusion models → Inverse problems and image restoration
- DHCP: Detecting Hallucinations by Cross-modal Attention Pattern in Large Vision-Language ModelsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- GeneMAN: Generalizable Single-Image 3D Human Reconstruction from Multi-Source Human DataDiffusion models → 3D, point cloud and scene generation
- Cross-modal Information Flow in Multimodal Large Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Diffusion Self-Distillation for Zero-Shot Customized Image GenerationDiffusion models → Image generation, text-to-image and editing
- CAT4D: Create Anything in 4D with Multi-View Video Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
- Robust Offline Reinforcement Learning with Linearly Structured f-Divergence RegularizationOffline RL and imitation learning from data → Offline RL algorithms
- Automated Literature Review Using NLP Techniques and LLM-Based Retrieval-Augmented GenerationRetrieval-augmented generation → RAG pipeline design and evaluation
- Dspy-based Neural-Symbolic Pipeline to Enhance Spatial Reasoning in LLMsLLM reasoning → Spatial and embodied reasoning
- FAM Diffusion: Frequency and Attention Modulation for High-Resolution Image Generation with Stable DiffusionDiffusion models → Diffusion foundations and sampling
- OpenING: A Comprehensive Benchmark for Judging Open-ended Interleaved Image-Text GenerationMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- SoK: Watermarking for AI-Generated ContentLLM safety and security → Watermarking generated content and models
- Beyond Examples: High-level Automated Reasoning Paradigm in In-Context Learning via MCTSLLM reasoning → Reasoning benchmarks and evaluation
- Complexity Experts are Task-Discriminative Learners for Any Image RestorationMixture-of-experts → Vision mixture-of-experts
- Draft Model Knows When to Stop: Self-Verification Speculative Decoding for Long-Form GenerationEfficient LLM inference and serving → Speculative decoding
- Understanding Galaxy Morphology Evolution Through Cosmic Time via Redshift Conditioned Diffusion ModelsDiffusion models → Inverse problems and image restoration
- A Multi-Agent Dual Dialogue System to Support Mental Health Care ProvidersLLM agents and tool use → Medical and scientific domain agents
- FastSwitch: Optimizing Context Switching Efficiency in Fairness-aware Large Language Model ServingEfficient LLM inference and serving → Serving systems and request scheduling
- Efficient and Diverse Generative Robot Designs using Evolution and Intrinsic MotivationDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Individual Content and Motion Dynamics Preserved Pruning for Video Diffusion ModelsDiffusion models → Video generation
- ChatRex: Taming Multimodal LLM for Joint Perception and UnderstandingMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- TryOffDiff: Virtual-Try-Off via High-Fidelity Garment Reconstruction using Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
- Mixture of Experts in Image Classification: What's the Sweet Spot?Mixture-of-experts → Vision mixture-of-experts
- Application of Soft Actor-Critic Algorithms in Optimizing Wastewater Treatment with Time Delays IntegrationDeep reinforcement learning methods → RL for energy, networks and operations
- Enhancing MMDiT-Based Text-to-Image Models for Similar Subject GenerationDiffusion models → Image generation, text-to-image and editing
- HiFiVFS: High Fidelity Video Face SwappingDiffusion models → Image generation, text-to-image and editing
- Neutralizing Backdoors through Information Conflicts for Large Language ModelsLLM safety and security → Backdoor and data poisoning attacks
- Large Language Model-Brained GUI Agents: A SurveyLLM agents and tool use → GUI and mobile agents
- Visual Adversarial Attack on Vision-Language Models for Autonomous DrivingLLM reasoning → Chain-of-thought reasoning for driving +2
- TSD-SR: One-Step Diffusion with Target Score Distillation for Real-World Image Super-ResolutionDiffusion models → Inverse problems and image restoration
- Dynamic Retail Pricing via Q-Learning -- A Reinforcement Learning Framework for Enhanced Revenue ManagementDeep reinforcement learning methods → Adversarial robustness and RL in finance
- A gentle push funziona benissimo: making instructed models in Italian via contrastive activation steeringMechanistic interpretability → Activation steering methods
- Exploration of LLM Multi-Agent Application Implementation Based on LangGraph+CrewAILLM agents and tool use → General LLM agent frameworks and benchmarks
- Dependency-Aware CAV Task Scheduling via Diffusion-Based Reinforcement LearningDeep reinforcement learning methods → RL for robot navigation and UAV control
- SharpDepth: Sharpening Metric Depth Predictions Using Diffusion DistillationDiffusion models → 3D, point cloud and scene generation
- SCoTT: Strategic Chain-of-Thought Tasking for Wireless-Aware Robot Navigation in Digital TwinsLLM reasoning → Spatial and embodied reasoning
- TimeMarker: A Versatile Video-LLM for Long and Short Video Understanding with Superior Temporal Localization AbilityMultimodal LLMs / vision-language models → Video understanding with MLLMs
- From Open Vocabulary to Open World: Teaching Vision Language Models to Detect Novel ObjectsMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
- Critic-V: VLM Critics Help Catch VLM Errors in Multimodal ReasoningLLM reasoning → Multimodal reasoning +1
- Scalable Multi-Objective Reinforcement Learning with Fairness Guarantees using Lorenz DominanceDeep reinforcement learning methods → RL for games and combinatorial optimization
- Prediction with Action: Visual Policy Learning via Joint Denoising ProcessDiffusion models → Diffusion and flow policies for robotics
- Abductive Symbolic Solver on Abstraction and Reasoning CorpusLLM reasoning → Multimodal reasoning
- A Cost-Effective Approach to Smooth A* Path Planning for Autonomous VehiclesEnd-to-end autonomous driving → Imitation-learning end-to-end planners
- CHOICE: Benchmarking the Remote Sensing Capabilities of Large Vision-Language ModelsLLM reasoning → Spatial and embodied reasoning +1
- Autonomous Imagination: Closed-Loop Decomposition of Visual-to-Textual Conversion in Visual Reasoning for Multimodal Large Language ModelsLLM reasoning → Multimodal reasoning +1
- SALMONN-omni: A Codec-free LLM for Full-duplex Speech Understanding and GenerationMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- When Large Vision-Language Models Meet Person Re-IdentificationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Difficulty Controlled Diffusion Model for Synthesizing Effective Training DataDiffusion models → Diffusion foundations and sampling
- Training Noise Token PruningEfficient LLM inference and serving → Token pruning and merging for ViTs
- MiniKV: Pushing the Limits of LLM Inference via 2-Bit Layer-Discriminative KV CacheEfficient LLM inference and serving → KV cache optimization
- ORIS: Online Active Learning Using Reinforcement Learning-based Inclusive Sampling for Robust Streaming Analytics SystemDeep reinforcement learning methods → RL training of language and agent models
- HyperGLM: HyperGraph for Video Scene Graph Generation and AnticipationMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- VLM-HOI: Vision Language Models for Interpretable Human-Object Interaction AnalysisMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
- FASIONAD : FAst and Slow FusION Thinking Systems for Human-Like Autonomous Driving with Adaptive FeedbackLLM reasoning → Chain-of-thought reasoning for driving +1
- JPPO: Joint Power and Prompt Optimization for Accelerated Large Language Model ServicesEfficient LLM inference and serving → Prompt and context compression
- Monocular Obstacle Avoidance Based on Inverse PPO for Fixed-wing UAVsDeep reinforcement learning methods → RL for robot navigation and UAV control
- Exploring Visual Vulnerabilities via Multi-Loss Adversarial Search for Jailbreaking Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +2
- Vision Mamba Distillation for Low-resolution Fine-grained Image ClassificationState-space sequence models (S4, Mamba) → Vision Mamba backbones +1
- ROICtrl: Boosting Instance Control for Visual GenerationDiffusion models → Image generation, text-to-image and editing
- Methods to Assess the UK Government's Current Role as a Data Provider for AI
- Bridging AI and Science: Implications from a Large-Scale Literature Analysis of AI4Science
- Generating Diverse Synthetic Datasets for Evaluation of Real-life Recommender Systems
- Enhancing Document AI Data Generation Through Graph-Based Synthetic Layouts
- Human Evaluation of Procedural Knowledge Graph Extraction from Text with Large Language Models
- Predicting Extubation Failure in Intensive Care: The Development of a Novel, End-to-End Actionable and Interpretable Prediction System
- Differential learning kinetics govern the transition from memorization to generalization during in-context learning
- Multi-Label Contrastive Learning : A Comprehensive Study
- Fine-Tuning Large Language Models for Scientific Text Classification: A Comparative Study
- OPCap:Object-aware Prompting Captioning
- A Novel Approach to Image Steganography Using Generative Adversarial Networks
- Graph Canvas for Controllable 3D Scene Generation
- Energy-Efficient Split Learning for Fine-Tuning Large Language Models in Edge Networks
- Stochastic Taylor Derivative Estimator: Efficient amortization for arbitrary differential operators
- Physics-Informed Deep Learning Model for Line-integral Diagnostics Across Fusion Devices
- Residual Attention Single-Head Vision Transformer Network for Rolling Bearing Fault Diagnosis in Noisy Environments
- PL-DCP: A Pairwise Learning framework with Domain and Class Prototypes for EEG emotion recognition under unseen target conditions
All 325
- Multi-Task Label Discovery via Hierarchical Task Tokens for Partially Annotated Dense Predictions
- RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data
- Unifying Generative and Dense Retrieval for Sequential Recommendation
- NewsEdits 2.0: Learning the Intentions Behind Updating News
- Lifting Motion to the 3D World via 2D Diffusion
- Reconstructing Animals and the Wild
- One-Step Early Stopping Strategy using Neural Tangent Kernel Theory and Rademacher Complexity
- Stratified Non-Negative Tensor Factorization
- Density correction for multivariate spatial fields of global climate model output using deep learning
- Graph-Based Biomarker Discovery and Interpretation for Alzheimer's Disease
- GloFinder: AI-empowered QuPath Plugin for WSI-level Glomerular Detection, Visualization, and Curation
- Graph Max Shift: A Hill-Climbing Method for Graph Clustering
- Investigating Plausibility of Biologically Inspired Bayesian Learning in ANNs
- MRI Breast tissue segmentation using nnU-Net for biomechanical modeling
- Fall Leaf Adversarial Attack on Traffic Sign Classification
- Multi-Task Learning for Integrated Automated Contouring and Voxel-Based Dose Prediction in Radiotherapy
- CoVis: A Collaborative Framework for Fine-grained Graphic Visual Understanding
- Classification of Deceased Patients from Non-Deceased Patients using Random Forest and Support Vector Machine Classifiers
- Cyber-Attack Technique Classification Using Two-Stage Trained Large Language Models
- Locally Differentially Private Online Federated Learning With Correlated Noise
- Inference Privacy: Properties and Mechanisms
- DiffMVR: Diffusion-based Automated Multi-Guidance Video Restoration
- The Performance of the LSTM-based Code Generated by Large Language Models (LLMs) in Forecasting Time Series Data
- Foundation Models in Radiology: What, How, When, Why and Why Not
- Multi-Task Model Merging via Adaptive Weight Disentanglement
- The Last Mile to Supervised Performance: Semi-Supervised Domain Adaptation for Semantic Segmentation
- Timing Matters: Enhancing User Experience through Temporal Prediction in Smart Homes
- Addressing bias in Recommender Systems: A Case Study on Data Debiasing Techniques in Mobile Games
- Embracing AI in Education: Understanding the Surge in Large Language Model Use by Secondary Students
- Exponential Moving Average of Weights in Deep Learning: Dynamics and Benefits
- On the Effectiveness of Incremental Training of Large Language Models
- GaussianSpeech: Audio-Driven Gaussian Avatars
- FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models
- TAPTRv3: Spatial and Temporal Context Foster Robust Tracking of Any Point in Long Video
- SimCMF: A Simple Cross-modal Fine-tuning Strategy from Vision Foundation Models to Any Imaging Modality
- Towards Chunk-Wise Generation for Long Videos
- Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting
- OOD-HOI: Text-Driven 3D Whole-Body Human-Object Interactions Generation Beyond Training Domains
- HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events
- ScaleViz: Scaling Visualization Recommendation Models on Large Data
- The Return of Pseudosciences in Artificial Intelligence: Have Machine Learning and Deep Learning Forgotten Lessons from Statistics and History?
- AToM: Aligning Text-to-Motion Model at Event-Level with GPT-4Vision Reward
- PRSI: Privacy-Preserving Recommendation Model Based on Vector Splitting and Interactive Protocols
- Surf-NeRF: Surface Regularised Neural Radiance Fields
- Verbalized Representation Learning for Interpretable Few-Shot Generalization
- RoMo: Robust Motion Segmentation Improves Structure from Motion
- Dynamic Logistic Ensembles with Recursive Probability and Automatic Subset Splitting for Enhanced Binary Classification
- Textured Gaussians for Enhanced 3D Scene Appearance Modeling
- Lift3D Foundation Policy: Lifting 2D Large-Scale Pretrained Models for Robust 3D Robotic Manipulation
- Leveraging Semi-Supervised Learning to Enhance Data Mining for Image Classification under Limited Labeled Data
- Proactive Gradient Conflict Mitigation in Multi-Task Learning: A Sparse Training Perspective
- Task Arithmetic Through The Lens Of One-Shot Federated Learning
- Evaluating and Improving the Effectiveness of Synthetic Chest X-Rays for Medical Image Analysis
- Structured light with a million light planes per second
- Biomolecular Analysis of Soil Samples and Rock Imagery for Tracing Evidence of Life Using a Mobile Robot
- Hierarchical Information Flow for Generalized Efficient Image Restoration
- Surveying the space of descriptions of a composite system with machine learning
- Pruning Deep Convolutional Neural Network Using Conditional Mutual Information
- On Importance of Code-Mixed Embeddings for Hate Speech Identification
- Functional relevance based on the continuous Shapley value
- Exploring Depth Information for Detecting Manipulated Face Videos
- Challenges in Adapting Multilingual LLMs to Low-Resource Languages using LoRA PEFT Tuning
- A Flexible Defense Against the Winner's Curse
- DexHandDiff: Interaction-aware Diffusion Planning for Adaptive Dexterous Manipulation
- Retrofitting Large Language Models with Dynamic Tokenization
- Concentration of Cumulative Reward in Markov Decision Processes
- PhyCAGE: Physically Plausible Compositional 3D Asset Generation from a Single Image
- AdaVLN: Towards Visual Language Navigation in Continuous Indoor Environments with Moving Humans
- Utilizing the Mean Teacher with Supcontrast Loss for Wafer Pattern Recognition
- Emergence of Self-Identity in AI: A Mathematical Framework and Empirical Study with Generative Large Language Models
- NeuroAI for AI Safety
- Perturbation Ontology based Graph Attention Networks
- Living off the Analyst: Harvesting Features from Yara Rules for Malware Detection
- Enhancing weed detection performance by means of GenAI-based image augmentation
- LLM-ABBA: Understanding time series via symbolic approximation
- Isometry pursuit
- Multiple Choice Learning for Efficient Speech Separation with Many Speakers
- SPTTE: A Spatiotemporal Probabilistic Framework for Travel Time Estimation
- A comparison of extended object tracking with multi-modal sensors in indoor environment
- Weakly Supervised Framework Considering Multi-temporal Information for Large-scale Cropland Mapping with Satellite Imagery
- HEMGS: A Hybrid Entropy Model for 3D Gaussian Splatting Data Compression
- Isolating authorship from content with semantic embeddings and contrastive learning
- Parole de pr'esidents (1958-2022)
- What do physics-informed DeepONets learn? Understanding and improving training for scientific computing applications
- Synthetic ECG Generation for Data Augmentation and Transfer Learning in Arrhythmia Classification
- Advancements in Myocardial Infarction Detection and Classification Using Wearable Devices: A Comprehensive Review
- Continuous Autoregressive Models with Noise Augmentation Avoid Error Accumulation
- Is my Meeting Summary Good? Estimating Quality with a Multi-LLM Evaluator
- Metric-DST: Mitigating Selection Bias Through Diversity-Guided Semi-Supervised Metric Learning
- SPO-VCS: An End-to-End Smart Predict-then-Optimize Framework with Alternating Differentiation Method for Relocation Problems in Large-Scale Vehicle Crowd Sensing
- MM-Path: Multi-modal, Multi-granularity Path Representation Learning -- Extended Version
- Streamlining Prediction in Bayesian Deep Learning
- Probabilistic size-and-shape functional mixed models
- Neural Image Unfolding: Flattening Sparse Anatomical Structures using Neural Fields
- Adaptive Blind All-in-One Image Restoration
- Deep Fourier-embedded Network for RGB and Thermal Salient Object Detection
- When does a bridge become an aeroplane?
- Politicians vs ChatGPT. A study of presuppositions in French and Italian political communication
- GeneQuery: A General QA-based Framework for Spatial Gene Expression Predictions from Histology Images
- Convolutional Neural Networks Do Work with Pre-Defined Filters
- Federated Learning with Uncertainty and Personalization via Efficient Second-order Optimization
- Optimal In-Network Distribution of Learning Functions for a Secure-by-Design Programmable Data Plane of Next-Generation Networks
- Topic Modeling and Sentiment Analysis on Japanese Online Media's Coverage of Nuclear Energy
- ChatGPT as speechwriter for the French presidents
- XR-MBT: Multi-modal Full Body Tracking for XR through Self-Supervision with Learned Depth Point Cloud Registration
- Preserving Deep Representations In One-Shot Pruning: A Hessian-Free Second-Order Optimization Framework
- G3Flow: Generative 3D Semantic Flow for Pose-aware and Generalizable Object Manipulation
- AMPS: ASR with Multimodal Paraphrase Supervision
- GPT as ghostwriter at the White House
- Comprehensive and Reliable Feature Attribution for Diverse Modalities and Models via Frequency-Domain Insights
- Ridge Regression on Riemannian Manifolds for Time-Series Prediction
- Can LLMs assist with Ambiguity? A Quantitative Evaluation of various Large Language Models on Word Sense Disambiguation
- Helvipad: A Real-World Dataset for Omnidirectional Stereo Depth Estimation
- EventCrab: Harnessing Frame and Point Synergy for Event-based Action Recognition and Beyond
- RITA: Automatic Framework for Designing of Resilient IoT Applications
- Learning optimal objective values for MILP
- Continual Learning in Machine Speech Chain Using Gradient Episodic Memory
- Real-time Video Target Tracking Algorithm Utilizing Convolutional Neural Networks (CNN)
- Neural Surface Priors for Editable Gaussian Splatting
- MvKeTR: Chest CT Report Generation with Multi-View Perception and Knowledge Enhancement
- InfiniDreamer: Arbitrarily Long Human Motion Generation via Segment Score Distillation
- HUPE: Heuristic Underwater Perceptual Enhancement with Semantic Collaborative Learning
- Aligning Pre-trained Models for Spoken Language Translation
- Leveraging Semantic Asymmetry for Precise Gross Tumor Volume Segmentation of Nasopharyngeal Carcinoma in Planning CT
- Don't Let Your Robot be Harmful: Responsible Robotic Manipulation via Safety-as-Policy
- Optimizing Multispectral Object Detection: A Bag of Tricks and Comprehensive Benchmarks
- DualCast: A Model to Disentangle Aperiodic Events from Traffic Series
- MotionCharacter: Fine-Grained Motion Controllable Human Video Generation
- Large Models Enabled Ubiquitous Wireless Sensing
- GAPartManip: A Large-scale Part-centric Dataset for Material-Agnostic Articulated Object Manipulation
- Grid-augmented vision: A simple yet effective approach for enhanced spatial understanding in multi-modal agents
- Hidden Data Privacy Breaches in Federated Learning
- Incomplete Multi-view Multi-label Classification via a Dual-level Contrastive Learning Framework
- Wearable intelligent throat enables natural speech in stroke patients with dysarthria
- Break the ID-Language Barrier: An Adaption Framework for LLM-based Sequential Recommendation
- MetaphorShare: A Dynamic Collaborative Repository of Open Metaphor Datasets
- Transfer Learning for Deep Learning-based Prediction of Lattice Thermal Conductivity
- Active partitioning: inverting the paradigm of active learning
- Multimodal Integration of Longitudinal Noninvasive Diagnostics for Survival Prediction in Immunotherapy Using Deep Learning
- IKUN: Initialization to Keep snn training and generalization great with sUrrogate-stable variaNce
- Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI
- Thai Financial Domain Adaptation of THaLLE -- Technical Report
- Certified Training with Branch-and-Bound for Lyapunov-stable Neural Control
- Time-Efficient Hybrid Hyperparameter Tuning Approach for Cardiovascular Disease Classification
- Machine learning-based classification for Single Photon Space Debris Light Curves
- Feature-Factory: Automating Software Feature Integration Using Generative AI
- PATHS: A Hierarchical Transformer for Efficient Whole Slide Image Analysis
- KANs for Computer Vision: An Experimental Study
- R-MTLLMF: Resilient Multi-Task Large Language Model Fusion at the Wireless Edge
- How to Learn a New Language? An Efficient Solution for Self-Supervised Learning Models Unseen Languages Adaption in Low-Resource Scenario
- Evaluating and Improving the Robustness of Security Attack Detectors Generated by LLMs
- Learning for Long-Horizon Planning via Neuro-Symbolic Abductive Imitation
- Semantic Edge Computing and Semantic Communications in 6G Networks: A Unifying Survey and Research Challenges
- Make-It-Animatable: An Efficient Framework for Authoring Animation-Ready 3D Characters
- Towards Lensless Image Deblurring with Prior-Embedded Implicit Neural Representations in the Low-Data Regime
- DistinctAD: Distinctive Audio Description Generation in Contexts
- Machine Unlearning for Speaker-Agnostic Detection of Gender-Based Violence Condition in Speech
- Enhancing Computer Vision with Knowledge: a Rummikub Case Study
- PDZSeg: Adapting the Foundation Model for Dissection Zone Segmentation with Visual Prompts in Robot-assisted Endoscopic Submucosal Dissection
- KAN See Your Face
- RPEE-HEADS: A Novel Benchmark for Pedestrian Head Detection in Crowd Videos
- SentiXRL: An advanced large language Model Framework for Multilingual Fine-Grained Emotion Classification in Complex Text Environment
- Type-R: Automatically Retouching Typos for Text-to-Image Generation
- A survey on cutting-edge relation extraction techniques based on language models
- MSA-ASR: Efficient Multilingual Speaker Attribution with frozen ASR Models
- A Runtime-Adaptive Transformer Neural Network Accelerator on FPGAs
- Online Knowledge Integration for 3D Semantic Mapping: A Survey
- Predicting Water Quality using Quantum Machine Learning: The Case of the Umgeni Catchment (U20A) Study Region
- ModeDreamer: Mode Guiding Score Distillation for Text-to-3D Generation using Reference Image Prompts
- 3D-CDRGP: Towards Cross-Device Robotic Grasping Policy in 3D Open World
- Curriculum Demonstration Selection for In-Context Learning
- Using Machine Bias To Measure Human Bias
- The Bigger the Better? Accurate Molecular Potential Energy Surfaces from Minimalist Neural Networks
- Transformer-Driven Active Transfer Learning for Cross-Hyperspectral Image Classification
- Training and Evaluating Language Models with Template-based Data Generation
- Aligning Knowledge Concepts to Whole Slide Images for Precise Histopathology Image Analysis
- Fine-Tuning Small Embeddings for Elevated Performance
- Derivation of Closed Form of Expected Improvement for Gaussian Process Trained on Log-Transformed Objective
- MONOPOLY: Learning to Price Public Facilities for Revaluing Private Properties with Large-Scale Urban Data
- From Exploration to Revelation: Detecting Dark Patterns in Mobile Apps
- Dual-view X-ray Detection: Can AI Detect Prohibited Items from Dual-view X-ray Images like Humans?
- PAD-F: Prior-Aware Debiasing Framework for Long-Tailed X-ray Prohibited Item Detection
- DuMapper: Towards Automatic Verification of Large-Scale POIs with Street Views at Baidu Maps
- SmileSplat: Generalizable Gaussian Splats for Unconstrained Sparse Images
- Simulating Tabular Datasets through LLMs to Rapidly Explore Hypotheses about Real-World Entities
- Large Scale Evaluation of Deep Learning-based Explainable Solar Flare Forecasting Models with Attribution-based Proximity Analysis
- PersonaCraft: Personalized and Controllable Full-Body Multi-Human Scene Generation Using Occlusion-Aware 3D-Conditioned Diffusion
- GLS: Geometry-aware 3D Language Gaussian Splatting
- Lightweight Gaze Estimation Model Via Fusion Global Information
- Mortality Prediction of Pulmonary Embolism Patients with Deep Learning and XGBoost
- Multi-task Gaze Estimation Via Unidirectional Convolution
- FAMES: Fast Approximate Multiplier Substitution for Mixed-Precision Quantized DNNs--Down to 2 Bits!
- Using different sources of ground truths and transfer learning to improve the generalization of photometric redshift estimation
- RL for Mitigating Cascading Failures: Targeted Exploration via Sensitivity Factors
- Heterogeneous Relationships of Subjects and Shapelets for Semi-supervised Multivariate Series Classification
- Pixel-aligned RGB-NIR Stereo Imaging and Dataset for Robot Vision
- Can bidirectional encoder become the ultimate winner for downstream applications of foundation models?
- Neural Finite-State Machines for Surgical Phase Recognition
- AEGIS: An Agent-based Framework for General Bug Reproduction from Issue Descriptions
- Diffeomorphic Latent Neural Operators for Data-Efficient Learning of Solutions to Partial Differential Equations
- Manual-PA: Learning 3D Part Assembly from Instruction Diagrams
- Causal and Local Correlations Based Network for Multivariate Time Series Classification
- AI-Driven Smartphone Solution for Digitizing Rapid Diagnostic Test Kits and Enhancing Accessibility for the Visually Impaired
- Generative Semantic Communication for Joint Image Transmission and Segmentation
- HAAT: Hybrid Attention Aggregation Transformer for Image Super-Resolution
- An End-to-End Two-Stream Network Based on RGB Flow and Representation Flow for Human Action Recognition
- A Novel Pareto-optimal Ranking Method for Comparing Multi-objective Optimization Algorithms
- Revisiting Misalignment in Multispectral Pedestrian Detection: A Language-Driven Approach for Cross-modal Alignment Fusion
- Differentiable Inverse Rendering with Interpretable Basis BRDFs
- DRS: Deep Question Reformulation With Structured Output
- New Faithfulness-Centric Interpretability Paradigms for Natural Language Processing
- VideoLLM Knows When to Speak: Enhancing Time-Sensitive Video Comprehension with Video-Text Duet Interaction Format
- Regularized Multi-LLMs Collaboration for Enhanced Score-based Causal Discovery
- RS-vHeat: Heat Conduction Guided Efficient Remote Sensing Foundation Model
- Optimized Conformal Selection: Powerful Selective Inference After Conformity Score Optimization
- HI-SLAM2: Geometry-Aware Gaussian SLAM for Fast Monocular Scene Reconstruction
- The importance of visual modelling languages in generative software engineering
- Improved implicit diffusion model with knowledge distillation to estimate the spatial distribution density of carbon stock in remote sensing imagery
- Graph Neural Network for Cerebral Blood Flow Prediction With Clinical Datasets
- QuaLLM-Health: An Adaptation of an LLM-Based Framework for Quantitative Data Extraction from Online Health Discussions
- Optimized Tradeoffs for Private Prediction with Majority Ensembling
- ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference
- Adversarial Training in Low-Label Regimes with Margin-Based Interpolation
- DiffVax: Optimization-Free Image Immunization Against Diffusion-Based Editing
- HypDAE: Hyperbolic Diffusion Autoencoders for Hierarchical Few-shot Image Generation