Papers
Fri 14 Jun 2024
318 papers
- Integrating Large Language Models with Graph-based Reasoning for Conversational Question AnsweringLLM reasoning → Knowledge- and tool-augmented reasoning
- PID: Prompt-Independent Data Protection Against Latent Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects
- On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A SurveySynthetic data and self-improvement for LLMs → LLM synthetic data generation
- Interpretable Cascading Mixture-of-Experts for Urban Traffic Congestion PredictionMixture-of-experts → MoE for time series and graphs
- DigiRL: Training In-The-Wild Device-Control Agents with Autonomous Reinforcement LearningMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +3
- Binary Reward Labeling: Bridging Offline Preference and Reward-Based Reinforcement LearningLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF +1
- Consistency-diversity-realism Pareto fronts of conditional image generative modelsWorld models → Video-generation world models and simulators
- What is the Visual Cognition Gap between Humans and Multimodal LLMs?Multimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Self-Reflection Makes Large Language Models Safer, Less Biased, and Ideologically NeutralLLM reasoning → Test-time compute and efficient thinking
- SigDiffusions: Score-Based Diffusion Models for Time Series via Log-Signature EmbeddingsDiffusion models → Diffusion foundations and sampling
- From Pixels to Prose: A Large Dataset of Dense Image CaptionsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Creating a Lens of Chinese Culture: A Multimodal Dataset for Chinese Pun Rebus Art UnderstandingMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- What is the best model? Application-driven Evaluation for Large Language ModelsLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- SatDiffMoE: A Mixture of Estimation Method for Satellite Image Super-resolution with Latent Diffusion ModelsDiffusion models → Inverse problems and image restoration
- Long Story Short: Story-level Video Understanding from 20K Short FilmsMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Semantic Membership Inference Attack against Large Language ModelsLLM safety and security → Membership inference attacks
- Regularizing Hidden States Enables Learning Generalizable Reward Model for LLMsLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- DevBench: A multimodal developmental benchmark for language learningMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- DiffusionBlend: Learning 3D Image Prior through Position-aware Diffusion Score Blending for 3D Computed Tomography ReconstructionDiffusion models → Medical imaging and segmentation
- Make It Count: Text-to-Image Generation with an Accurate Number of ObjectsDiffusion models → Image generation, text-to-image and editing
- A Probability--Quality Trade-off in Aligned Language Models and its Relation to Sampling AdaptorsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Composing Parts for Expressive Object GenerationDiffusion models → Image generation, text-to-image and editing
- Detecting and Evaluating Medical Hallucinations in Large Vision Language ModelsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- CarLLaVA: Vision language models for camera-only closed-loop drivingMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection +1
- RoboGolf: Mastering Real-World Minigolf with a Reflective Multi-Modality Vision-Language ModelMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-HaystackLLM reasoning → Reasoning benchmarks and evaluation
- Training-free Camera Control for Video GenerationDiffusion models → Video generation
- GaussianSR: 3D Gaussian Super-Resolution with 2D Diffusion PriorsDiffusion models → 3D, point cloud and scene generation
- SkySenseGPT: A Fine-Grained Instruction Tuning Dataset and Model for Remote Sensing Vision-Language UnderstandingMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- BiKC: Keypose-Conditioned Consistency Policy for Bimanual Robotic ManipulationOffline RL and imitation learning from data → Robot manipulation imitation learning
- First Multi-Dimensional Evaluation of Flowchart Comprehension for Multimodal Large Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Bridging the Communication Gap: Artificial Agents Learning Sign Language through ImitationOffline RL and imitation learning from data → Language-conditioned policies and VLAs
- Off-Policy Evaluation from Logged Human FeedbackLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- OrientDream: Streamlining Text-to-3D Generation with Explicit Orientation ControlDiffusion models → 3D, point cloud and scene generation
- HIRO: Hierarchical Information Retrieval OptimizationRetrieval-augmented generation → RAG pipeline design and evaluation
- Robust Model-Based Reinforcement Learning with an Adversarial Auxiliary ModelWorld models → Latent dynamics models and model-based RL +1
- InstructRL4Pix: Training Diffusion for Image Editing by Reinforcement LearningDiffusion models → Image generation, text-to-image and editing +1
- ChartMimic: Evaluating LMM's Cross-Modal Reasoning Capability via Chart-to-Code GenerationLLM reasoning → Multimodal reasoning +1
- Neural Concept BinderLLM reasoning → Multimodal reasoning
- Finite-Time Analysis of Simultaneous Double Q-learningDeep reinforcement learning methods → RL theory and sample complexity
- ALGM: Adaptive Local-then-Global Token Merging for Efficient Semantic Segmentation with Plain Vision TransformersEfficient LLM inference and serving → Token pruning and merging for ViTs
- Knowledge Editing in Language Models via Adapted Direct Preference OptimizationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Vision Language Modeling of Content, Distortion and Appearance for Image Quality AssessmentMultimodal LLMs / vision-language models → Image editing and quality assessment
- Rapport-Driven Virtual Agent: Rapport Building Dialogue Strategy for Improving User Experience at First MeetingLLM agents and tool use → Social simulation and multi-agent debate
- ClimateIQA: A New Dataset and Benchmark to Advance Vision-Language Models in Meteorology Anomalies AnalysisMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- I Know How: Combining Prior Policies to Solve New TasksDeep reinforcement learning methods → Deep RL algorithms and representations
- Recent Advances in Federated Learning Driven Large Language Models: A Survey on Architecture, Performance, and SecurityLLM safety and security → Federated unlearning and poisoning
- A Training-free Sub-quadratic Cost Transformer Model Serving Framework With Hierarchically Pruned AttentionRetrieval-augmented generation → Generation and context integration
- ClimRetrieve: A Benchmarking Dataset for Information Retrieval from Corporate Climate DisclosuresRetrieval-augmented generation → Agentic RAG, agents and memory
- Retrieval Augmented Fact Verification by Synthesizing Contrastive ArgumentsRetrieval-augmented generation → RAG robustness and adaptive retrieval
- Unsupervised Monocular Depth Estimation Based on Hierarchical Feature-Guided DiffusionDiffusion models → 3D, point cloud and scene generation
- GPT-4o: Visual perception performance of multimodal large language models in piglet activity understandingMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Towards Efficient Pareto Set Approximation via Mixture of Experts Based Model FusionMixture-of-experts → MoE theory and gating functions
- Bayesian Conditioned Diffusion Models for Inverse ProblemsDiffusion models → Inverse problems and image restoration
- DISCO: Language-Guided Manipulation with Diffusion Policies and Constrained InpaintingDiffusion models → Diffusion and flow policies for robotics
- Bootstrapping Language Models with DPO Implicit RewardsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods +1
- ControlVAR: Exploring Controllable Visual Autoregressive ModelingDiffusion models → Image generation, text-to-image and editing
- Contrastive Imitation Learning for Language-guided Multi-Task Robotic ManipulationOffline RL and imitation learning from data → Robot manipulation imitation learning
- Self-Knowledge Distillation for Learning AmbiguityKnowledge distillation → Knowledge distillation for LLMs
- Watch the Watcher! Backdoor Attacks on Security-Enhancing Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
- New algorithms for sampling and diffusion modelsDiffusion models → Diffusion foundations and sampling
- Frequency-mix Knowledge Distillation for Fake Speech DetectionKnowledge distillation → Speech and audio distillation
- A Policy Gradient-Based Sequence-to-Sequence Method for Time Series PredictionDeep reinforcement learning methods → Deep RL algorithms and representations
- The Kolmogorov Complexity of Irish traditional dance music
- 1-Lipschitz Neural Distance Fields
- AI-Based Copyright Detection Of An Image In a Video Using Degree Of Similarity And Image Hashing
- PARSE-Ego4D: Personal Action Recommendation Suggestions for Egocentric Videos
- From Text to Life: On the Reciprocal Relationship between Artificial Life and Large Language Models
- Classical and Quantum Physical Reservoir Computing for Onboard Artificial Intelligence Systems: A Perspective
- Xi-Net: Transformer Based Seismic Waveform Reconstructor
- RadEx: A Framework for Structured Information Extraction from Radiology Reports based on Large Language Models
- A Deep Learning System for Rapid and Accurate Warning of Acute Aortic Syndrome on Non-contrast CT in China
- Learning thresholds lead to stable language coexistence
- GLiNER multi-task: Generalist Lightweight Model for Various Information Extraction Tasks
- WindowMixer: Intra-Window and Inter-Window Modeling for Time Series Forecasting
- Understanding active learning of molecular docking and its applications
- Brain-Inspired Spike Echo State Network Dynamics for Aero-Engine Intelligent Fault Prediction
- ED-sKWS: Early-Decision Spiking Neural Networks for Rapid,and Energy-Efficient Keyword Spotting
- Towards Better Benchmark Datasets for Inductive Knowledge Graph Completion
- A Benchmark for Maximum Cut: Towards Standardization of the Evaluation of Learned Heuristics for Combinatorial Optimization
- Predicting User Perception of Move Brilliance in Chess
- Towards Adaptive Neighborhood for Advancing Temporal Interaction Graph Modeling
- Unraveling the Mechanics of Learning-Based Demonstration Selection for In-Context Learning
- Galibr: Targetless LiDAR-Camera Extrinsic Calibration Method via Ground Plane Initialization
- The BabyView dataset: High-resolution egocentric videos of infants' and young children's everyday experiences
- Domain-Specific Shorthand for Generation Based on Context-Free Grammar
- Differentiable Predictive Control for Large-Scale Urban Road Networks
- AMR-RE: Abstract Meaning Representations for Retrieval-Based In-Context Learning in Relation Extraction
- Challenging the Machine: Contestability in Government AI Systems
- Adaptive Randomized Smoothing: Certified Adversarial Robustness for Multi-Step Defences
- MiNT: Multi-Network Training for Transfer Learning on Temporal Graphs
- Multi-source Unsupervised Domain Adaptation on Graphs with Transferability Modeling
- SciEx: Benchmarking Large Language Models on Scientific Exams with Human Expert Grading and Automatic Grading
- Learning Flexible Time-windowed Granger Causality Integrating Heterogeneous Interventional Time Series Data
- Enhanced Intrusion Detection System for Multiclass Classification in UAV Networks
- Byzantine-Robust Decentralized Federated Learning
- PRISM: A Design Framework for Open-Source Foundation Model Safety
- Tree Search for Simultaneous Move Games via Equilibrium Approximation
- Suboptimality bounds for trace-bounded SDPs enable a faster and scalable low-rank SDP solver SDPLR+
- Determination of the Number of Topics Intrinsically: Is It Possible?
All 318
- Evaluating Speaker Identity Coding in Self-supervised Models and Humans
- BrainSegFounder: Towards 3D Foundation Models for Neuroimage Segmentation
- EWEK-QA: Enhanced Web and Efficient Knowledge Graph Retrieval for Citation-based Question Answering Systems
- BEACON: Benchmark for Comprehensive RNA Tasks and Language Models
- Efficient Prompting for LLM-based Generative Internet of Things
- Wild-GS: Real-Time Novel View Synthesis from Unconstrained Photo Collections
- A Neuro-Symbolic Benchmark Suite for Concept Quality and Reasoning Shortcuts
- Disentangled Hyperbolic Representation Learning for Heterogeneous Graphs
- Improving the Validity and Practical Usefulness of AI/ML Evaluations Using an Estimands Framework
- Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting
- VANE-Bench: Video Anomaly Evaluation Benchmark for Conversational LMMs
- Enhancing Multilingual Voice Toxicity Detection with Speech-Text Alignment
- L4GM: Large 4D Gaussian Reconstruction Model
- GenQA: Generating Millions of Instructions from a Handful of Prompts
- LieRE: Lie Rotational Positional Encodings
- Out of style: Misadventures with LLMs and code style transfer
- Development and Validation of a Machine Learning Algorithm for Clinical Wellness Visit Classification in Cats and Dogs
- CNVSRC 2023: The First Chinese Continuous Visual Speech Recognition Challenge
- In-depth analysis of recall initiators of medical devices with a Machine Learning-Natural language Processing workflow
- CHiSafetyBench: A Chinese Hierarchical Safety Benchmark for Large Language Models
- TEG-DB: A Comprehensive Dataset and Benchmark of Textual-Edge Graphs
- A Simple, Solid, and Reproducible Baseline for Bridge Bidding AI
- Unlock the Correlation between Supervised Fine-Tuning and Reinforcement Learning in Training Code Large Language Models
- Enhancing Voice Wake-Up for Dysarthria: Mandarin Dysarthria Speech Corpus Release and Customized System Design
- A Survey on Large Language Models from General Purpose to Medical Applications: Datasets, Methodologies, and Evaluations
- Quantifying Variance in Evaluation Benchmarks
- VEGA: Learning Interleaved Image-Text Comprehension in Vision-Language Large Models
- VideoGUI: A Benchmark for GUI Automation from Instructional Videos
- EFM3D: A Benchmark for Measuring Progress Towards 3D Egocentric Foundation Models
- Diffusion Synthesizer for Efficient Multilingual Speech to Speech Translation
- PUP 3D-GS: Principled Uncertainty Pruning for 3D Gaussian Splatting
- Universal randomised signatures for generative time series modelling
- Selecting Interpretability Techniques for Healthcare Machine Learning models
- NeST: Neural Stress Tensor Tomography by leveraging 3D Photoelasticity
- Be like a Goldfish, Don't Memorize! Mitigating Memorization in Generative LLMs
- Glyph-ByT5-v2: A Strong Aesthetic Baseline for Accurate Multilingual Visual Text Rendering
- SSTFB: Leveraging self-supervised pretext learning and temporal self-attention with feature branching for real-time video polyp segmentation
- TRIP-PAL: Travel Planning with Guarantees by Combining Large Language Models and Automated Planners
- CHIRON: Rich Character Representations in Long-Form Narratives
- Practical offloading for fine-tuning LLM on commodity GPU via learned sparse projectors
- MeshPose: Unifying DensePose and 3D Body Mesh reconstruction
- Inclusive ASR for Disfluent Speech: Cascaded Large-Scale Self-Supervised Learning with Targeted Fine-Tuning and Data Augmentation
- Enhancing Incomplete Multi-modal Brain Tumor Segmentation with Intra-modal Asymmetry and Inter-modal Dependency
- Let the Poem Hit the Rhythm: Using a Byte-Based Transformer for Beat-Aligned Poetry Generation
- IntentionQA: A Benchmark for Evaluating Purchase Intention Comprehension Abilities of Language Models in E-commerce
- Datasets for Multilingual Answer Sentence Selection
- 4DRecons: 4D Neural Implicit Deformable Objects Reconstruction from a single RGB-D Camera with Geometrical and Topological Regularizations
- Misam: Using ML in Dataflow Selection of Sparse-Sparse Matrix Multiplication
- MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers
- Sycophancy to Subterfuge: Investigating Reward-Tampering in Large Language Models
- On the Computability of Robust PAC Learning
- One-pass Multiple Conformer and Foundation Speech Systems Compression and Quantization Using An All-in-one Neural Model
- Automated Design of Linear Bounding Functions for Sigmoidal Nonlinearities in Neural Networks
- A Primal-Dual-Assisted Penalty Approach to Bilevel Optimization with Coupled Constraints
- Improving rule mining via embedding-based link prediction
- The Rise and Fall(?) of Software Engineering
- YOLOv1 to YOLOv10: A comprehensive review of YOLO variants and their application in the agricultural domain
- Compressed Sensor Caching and Collaborative Sparse Data Recovery with Anchor Alignment
- Evaluation of Large Language Models: STEM education and Gender Stereotypes
- Linear Contextual Bandits with Hybrid Payoff: Revisited
- The Devil is in the Neurons: Interpreting and Mitigating Social Biases in Pre-trained Language Models
- SmartRSD: An Intelligent Multimodal Approach to Real-Time Road Surface Detection for Safe Driving
- Exploration by Learning Diverse Skills through Successor State Measures
- MapVision: CVPR 2024 Autonomous Grand Challenge Mapless Driving Tech Report
- Data Ethics in the Era of Healthcare Artificial Intelligence in Africa: An Ubuntu Philosophy Perspective
- A Progressive Risk Formulation for Enhanced Deep Learning based Total Knee Replacement Prediction in Knee Osteoarthritis
- SEACrowd: A Multilingual Multimodal Data Hub and Benchmark Suite for Southeast Asian Languages
- Trustworthy Artificial Intelligence in the Context of Metrology
- Shelf-Supervised Cross-Modal Pre-Training for 3D Object Detection
- Task-aligned Part-aware Panoptic Segmentation through Joint Object-Part Representations
- Precipitation Nowcasting Using Physics Informed Discriminator Generative Models
- Annotation Cost-Efficient Active Learning for Deep Metric Learning Driven Remote Sensing Image Retrieval
- Know the Unknown: An Uncertainty-Sensitive Method for LLM Instruction Tuning
- ECGMamba: Towards Efficient ECG Classification with BiSSM
- Exploring the Correlation between Human and Machine Evaluation of Simultaneous Speech Translation
- Over-parameterization and Adversarial Robustness in Neural Networks: An Overview and Empirical Analysis
- Provably Robust Pre-Trained Ensembles for Biomarker-Based Cancer Classification
- Discovering influential text using convolutional neural networks
- Enhancing Question Answering on Charts Through Effective Pre-training Tasks
- On the Evaluation of Speech Foundation Models for Spoken Language Understanding
- Whisper-Flamingo: Integrating Visual Features into Whisper for Audio-Visual Speech Recognition and Translation
- Localizing Events in Videos with Multimodal Queries
- D-NPC: Dynamic Neural Point Clouds for Non-Rigid View Synthesis from Monocular Video
- Detecting the terminality of speech-turn boundary for spoken interactions in French TV and Radio content
- DurLAR: A High-fidelity 128-channel LiDAR Dataset with Panoramic Ambient and Reflectivity Imagery for Multi-modal Autonomous Driving Applications
- TACCO: Task-guided Co-clustering of Clinical Concepts and Patient Visits for Disease Subtyping based on EHR Data
- PRIMER: Perception-Aware Robust Learning-based Multiagent Trajectory Planner
- Simul-Whisper: Attention-Guided Streaming Whisper with Truncation Detection
- Comparison of fine-tuning strategies for transfer learning in medical image classification
- Monitoring Simulated Physical Weakness Using Detailed Behavioral Features and Personalized Modeling
- FZI-WIM at SemEval-2024 Task 2: Self-Consistent CoT for Complex NLI in Biomedical Domain
- Towards Effective and Efficient Non-autoregressive Decoding Using Block-based Attention Mask
- Deep Learning Domain Adaptation to Understand Physico-Chemical Processes from Fluorescence Spectroscopy Small Datasets: Application to Ageing of Olive Oil
- ProtoS-ViT: Visual foundation models for sparse self-explainable classifications
- Deep Bayesian Active Learning for Preference Modeling in Large Language Models
- Group and Shuffle: Efficient Structured Orthogonal Parametrization
- Tilt and Average : Geometric Adjustment of the Last Layer for Recalibration
- Gradient-based Learning in State-based Potential Games for Self-Learning Production Systems
- Beyond Slow Signs in High-fidelity Model Extraction
- Real-time, accurate, and open source upper-limb musculoskeletal analysis using a single RGBD camera
- An elementary proof of a universal approximation theorem
- Understanding Pedestrian Movement Using Urban Sensing Technologies: The Promise of Audio-based Sensors
- Towards Scalable and Versatile Weight Space Learning
- Precision Empowers, Excess Distracts: Visual Question Answering With Dynamically Infused Knowledge In Language Models
- Details Make a Difference: Object State-Sensitive Neurorobotic Task Planning
- Self-Supervised and Few-Shot Learning for Robust Bioaerosol Monitoring
- Challenges in explaining deep learning models for data with biological variation
- Deep Learning Models to Automate the Scoring of Hand Radiographs for Rheumatoid Arthritis
- Disentangling Dialect from Social Bias via Multitask Learning to Improve Fairness
- A Better LLM Evaluator for Text Generation: The Impact of Prompt Output Sequencing and Optimization
- Impact of Speech Mode in Automatic Pathological Speech Detection
- Bag of Lies: Robustness in Continuous Pre-training BERT
- Outlier detection in maritime environments using AIS data and deep recurrent architectures
- Memory-Efficient Optimization with Factorized Hamiltonian Descent
- Rule Based Learning with Dynamic (Graph) Neural Networks
- DAG-Plan: Generating Directed Acyclic Dependency Graphs for Dual-Arm Cooperative Planning
- BiVLC: Extending Vision-Language Compositionality Evaluation with Text-to-Image Retrieval
- An efficient text augmentation approach for contextualized Mandarin speech recognition
- BLEnD: A Benchmark for LLMs on Everyday Knowledge in Diverse Cultures and Languages
- SemanticSpray++: A Multimodal Dataset for Autonomous Driving in Wet Surface Conditions
- Implementing engrams from a machine learning perspective: XOR as a basic motif
- Experiments in News Bias Detection with Pre-Trained Neural Transformers
- Predicting the Susceptibility of Examples to Catastrophic Forgetting
- What Does it Take to Generalize SER Model Across Datasets? A Comprehensive Benchmark
- SCKansformer: Fine-Grained Classification of Bone Marrow Cells via Kansformer Backbone and Hierarchical Attention Mechanisms
- Personalized Speech Enhancement Without a Separate Speaker Embedding Model
- POWN: Prototypical Open-World Node Classification
- Fundamental operating regimes, hyper-parameter fine-tuning and glassiness: towards an interpretable replica-theory for trained restricted Boltzmann machines
- CliBench: A Multifaceted and Multigranular Evaluation of Large Language Models for Clinical Decision Making
- Robust compressive tracking via online weighted multiple instance learning
- OpenECAD: An Efficient Visual Language Model for Editable 3D-CAD Design
- What Does Softmax Probability Tell Us about Classifiers Ranking Across Diverse Test Conditions?
- Label-Efficient Semantic Segmentation of LiDAR Point Clouds in Adverse Weather Conditions
- Nymeria: A Massive Collection of Multimodal Egocentric Daily Motion in the Wild
- QQQ: Quality Quattuor-Bit Quantization for Large Language Models
- GEB-1.3B: Open Lightweight Large Language Model
- Learning Solution-Aware Transformers for Efficiently Solving Quadratic Assignment Problem
- Positive-Unlabelled Learning for identifying new candidate Dietary Restriction-related genes among Ageing-related genes
- 3D-RPE: Enhancing Long-Context Modeling Through 3D Rotary Position Encoding
- Exploring the Benefits of Vision Foundation Models for Unsupervised Domain Adaptation
- Benchmarking Generative Models on Computational Thinking Tests in Elementary Visual Programming
- Enhancing Fake News Detection in Social Media via Label Propagation on Cross-modal Tweet Graph
- Harm Mitigation in Recommender Systems under User Preference Dynamics
- A Unified Data Augmentation Framework for Low-Resource Multi-Domain Dialogue Generation
- Federated Learning with Flexible Architectures
- Sailing in high-dimensional spaces: Low-dimensional embeddings through angle preservation
- Perceiver-Prompt: Flexible Speaker Adaptation in Whisper for Chinese Disordered Speech Recognition
- IGL-Bench: Establishing the Comprehensive Benchmark for Imbalanced Graph Learning
- Rethinking the Evaluation of Out-of-Distribution Detection: A Sorites Paradox
- LUMA: A Benchmark Dataset for Learning from Uncertain and Multimodal Data
- Dataset Condensation with Latent Quantile Matching
- On the Encoding of Gender in Transformer-based ASR Representations
- GradeADreamer: Enhanced Text-to-3D Generation Using Gaussian Splatting and Multi-View Diffusion
- Learning Multi-view Molecular Representations with Structured and Unstructured Knowledge
- TabularFM: An Open Framework For Tabular Foundational Models
- Robustness Inspired Graph Backdoor Defense
- SHMamba: Structured Hyperbolic State Space Model for Audio-Visual Question Answering
- Open-Vocabulary Semantic Segmentation with Image Embedding Balancing
- Unraveling Anomalies in Time: Unsupervised Discovery and Isolation of Anomalous Behavior in Bio-regenerative Life Support System Telemetry
- From Manifestations to Cognitive Architectures: a Scalable Framework
- An I2I Inpainting Approach for Efficient Channel Knowledge Map Construction
- RaNeuS: Ray-adaptive Neural Surface Reconstruction
- Sim-to-Real Transfer via 3D Feature Fields for Vision-and-Language Navigation
- DeltaPhi: Physical States Residual Learning for Neural Operators in Data-Limited PDE Solving
- SuperSVG: Superpixel-based Scalable Vector Graphics Synthesis
- A Two-Stage Masked Autoencoder Based Network for Indoor Depth Completion
- Pcc-tuning: Breaking the Contrastive Learning Ceiling in Semantic Textual Similarity
- OpenCapBench: A Benchmark to Bridge Pose Estimation and Biomechanics
- Evolving Self-Assembling Neural Networks: From Spontaneous Activity to Experience-Dependent Learning
- OSPC: Detecting Harmful Memes with Large Language Model as a Catalyst
- Faster Convergence on Heterogeneous Federated Edge Learning: An Adaptive Clustered Data Sharing Approach
- A lightweight residual network for unsupervised deformable image registration
- Research on Edge Detection of LiDAR Images Based on Artificial Intelligence Technology
- Application of Natural Language Processing in Financial Risk Detection
- Full-reference Point Cloud Quality Assessment Using Spectral Graph Wavelets
- Towards Full Integration of Artificial Intelligence in Colon Capsule Endoscopy's Pathway
- Evaluating LLM-driven User-Intent Formalization for Verification-Aware Languages
- Grounding Image Matching in 3D with MASt3R
- Mix Q-learning for Lane Changing: A Collaborative Decision-Making Method in Multi-Agent Deep Reinforcement Learning
- LAVIB: A Large-scale Video Interpolation Benchmark
- How Does Distribution Matching Help Domain Generalization: An Information-theoretic Analysis
- Deep Symbolic Optimization for Combinatorial Optimization: Accelerating Node Selection by Discovering Potential Heuristics
- Decoupling Forgery Semantics for Generalizable Deepfake Detection
- Automated GIS-Based Framework for Detecting Crosswalk Changes from Bi-Temporal High-Resolution Aerial Images
- Neural Pose Representation Learning for Generating and Transferring Non-Rigid Object Poses
- PixRO: Pixel-Distributed Rotational Odometry with Gaussian Belief Propagation
- When Will Gradient Regularization Be Harmful?
- Cross-view geo-localization: a survey
- UniBridge: A Unified Approach to Cross-Lingual Transfer Learning for Low-Resource Languages
- Speed-up of Data Analysis with Kernel Trick in Encrypted Domain
- Large language model validity via enhanced conformal prediction methods
- Meta-Learning Loss Functions for Deep Neural Networks
- AnimalFormer: Multimodal Vision Framework for Behavior-based Precision Livestock Farming
- Fine-Grained Urban Flow Inference with Multi-scale Representation Learning
- Detecting Response Generation Not Requiring Factual Judgment
- Differentiable Programming for Differential Equations: A Review
- MoME: Mixture of Multimodal Experts for Cancer Survival Prediction
- An Efficient Approach to Regression Problems with Tensor Neural Networks
- Compressed Video Quality Enhancement with Temporal Group Alignment and Fusion
- FreeCtrl: Constructing Control Centers with Feedforward Layers for Learning-Free Controllable Text Generation
- Explainable AI for Comparative Analysis of Intrusion Detection Models
- Asymmetrical Siamese Network for Point Clouds Normal Estimation
- Heterogeneous Federated Learning with Convolutional and Spiking Neural Networks
- Exploring Training on Heterogeneous Data with Mixture of Low-rank Adapters
- Optimizing Byte-level Representation for End-to-end ASR
- A Comprehensive Benchmark on Spectral GNNs: The Impact on Efficiency, Memory, and Effectiveness
- Evaluating ChatGPT-4 Vision on Brazil's National Undergraduate Computer Science Exam
- Learning Language Structures through Grounding
- Temporal Planning via Interval Logic Satisfiability for Autonomous Systems
- Mitigating over-exploration in latent space optimization using LES
- RSEND: Retinex-based Squeeze and Excitation Network with Dark Region Detection for Efficient Low Light Image Enhancement
- Coralai: Intrinsic Evolution of Embodied Neural Cellular Automata Ecosystems
- An Intrinsic Vector Heat Network
- OpenAnimalTracks: A Dataset for Animal Track Recognition
- A Survey of Video Datasets for Grounded Event Understanding
- TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs
- RASPNet: A Benchmark Dataset for Radar Adaptive Signal Processing Applications
- Industrial Language-Image Dataset (ILID): Adapting Vision Foundation Models for Industrial Settings