Papers
Mon 28 Jul 2025
287 papers
- RadioMamba: Breaking the Accuracy-Efficiency Trade-off in Radio Map Construction via a Hybrid Mamba-UNetState-space sequence models (S4, Mamba) → Vision Mamba backbones
- Prescriptive Agents based on RAG for Automated Maintenance (PARAM)LLM agents and tool use → General LLM agent frameworks and benchmarks
- Phase-fraction guided denoising diffusion model for augmenting multiphase steel microstructure segmentation via micrograph image-mask pair synthesisDiffusion models → Flow matching, time series and science
- Enhancing Jailbreak Attacks on LLMs via Persona PromptsLLM safety and security → Jailbreaking
- Multimodal LLMs as Customized Reward Models for Text-to-Image GenerationMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- MAAD: Automate Software Architecture Design through Knowledge-Driven Multi-Agent CollaborationLLM agents and tool use → Software engineering coding agents
- Exploring Probabilistic Modeling Beyond Domain Generalization for Semantic SegmentationDiffusion models → Medical imaging and segmentation
- Efficacy of AI RAG Tools for Complex Information Extraction and Data Annotation Tasks: A Case Study Using Banks Public DisclosuresRetrieval-augmented generation → RAG pipeline design and evaluation
- Games Agents Play: Towards Transactional Analysis in LLM-based Multi-Agent SystemsLLM agents and tool use → Social simulation and multi-agent debate
- Analyzing the Sensitivity of Vision Language Models in Visual Question AnsweringMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Structured Relevance Assessment for Robust Retrieval-Augmented Language ModelsRetrieval-augmented generation → Generation and context integration
- HDR Environment Map Estimation with Latent Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Adaptive Multimodal Protein Plug-and-Play with Diffusion-Based PriorsDiffusion models → Flow matching, time series and science
- Agentic Web: Weaving the Next Web with AI AgentsLLM agents and tool use → Web, search, and research agents
- Advancing Compositional LLM Reasoning with Structured Task Relations in Interactive Multimodal CommunicationsLLM reasoning → Multimodal reasoning +1
- MaXsive: High-Capacity and Robust Training-Free Generative Image Watermarking in Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
- Flow Matching Policy GradientsDiffusion models → Diffusion and flow policies for robotics +1
- A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super IntelligenceLLM agents and tool use → General LLM agent frameworks and benchmarks +1
- GenoMAS: A Multi-Agent Framework for Scientific Discovery via Code-Driven Gene Expression AnalysisLLM agents and tool use → Medical and scientific domain agents
- GPT-IMAGE-EDIT-1.5M: A Million-Scale, GPT-Generated Image DatasetMultimodal LLMs / vision-language models → Image editing and quality assessment
- Multi-Agent-as-Judge: Aligning LLM-Agent-Based Automated Evaluation with Multi-Dimensional Human EvaluationLLM agents and tool use → General LLM agent frameworks and benchmarks
- MIRAGE-Bench: LLM Agent is Hallucinating and Where to Find ThemLLM agents and tool use → Medical and scientific domain agents
- LoRA-PAR: A Flexible Dual-System LoRA Partitioning Approach to Efficient LLM Fine-TuningLLM reasoning → Test-time compute and efficient thinking
- Improving Adversarial Robustness Through Adaptive Learning-Driven Multi-Teacher Knowledge DistillationKnowledge distillation → Federated, robust and private distillation
- Security Tensors as a Cross-Modal Bridge: Extending Text-Aligned Safety to Vision in LVLMMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- JWB-DH-V1: Benchmark for Joint Whole-Body Talking Avatar and Speech Generation Version 1Diffusion models → Audio, speech and music
- SmallThinker: A Family of Efficient Large Language Models Natively Trained for Local DeploymentLLM reasoning → Test-time compute and efficient thinking +1
- Model-Agnostic Gender Bias Control for Text-to-Image Generation via Sparse AutoencoderDiffusion models → Image generation, text-to-image and editing +1
- Core Safety Values for Provably Corrigible AgentsLLM alignment / RLHF / preference optimisation → Reward hacking and misspecification
- Dissecting Persona-Driven Reasoning in Language Models via Activation PatchingLLM reasoning → Reasoning benchmarks and evaluation +1
- MediQAl: A French Medical Question Answering Dataset for Knowledge and Reasoning EvaluationLLM reasoning → Clinical and biomedical applications
- A2R2: Advancing Img2LaTeX Conversion via Visual Reasoning with Attention-Guided RefinementLLM reasoning → Multimodal reasoning
- JAM: A Tiny Flow-based Song Generator with Fine-grained Controllability and Aesthetic AlignmentDiffusion models → Audio, speech and music
- DriveAgent-R1: Advancing VLM-based Autonomous Driving with Active Perception and Hybrid ThinkingLLM reasoning → Chain-of-thought reasoning for driving +2
- A Human-in-the-loop Approach to Robot Action Replanning through LLM Common-Sense ReasoningLLM reasoning → Spatial and embodied reasoning
- Geometry of Neural Reinforcement Learning in Continuous State and Action SpacesDeep reinforcement learning methods → Deep RL algorithms and representations
- METEOR: Multi-Encoder Collaborative Token Pruning for Efficient Vision Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- Rethinking Few Shot CLIP Benchmarks: A Critical Analysis in the Inductive SettingLLM safety and security → Machine unlearning
- Why Flow Matching is Particle Swarm Optimization?Diffusion models → Flow matching, time series and science
- Aligning Large Language Model Agents with Rational and Moral Preferences: A Supervised Fine-Tuning ApproachLLM agents and tool use → Social simulation and multi-agent debate +1
- Learning Only with Images: Visual Reinforcement Learning with Reasoning, Rendering, and Visual FeedbackLLM reasoning → Multimodal reasoning +1
- How Chain-of-Thought Works? Tracing Information Flow from Decoding, Projection, and ActivationLLM reasoning → Prompting and chain-of-thought reasoning
- Investigating Structural Pruning and Recovery Techniques for Compressing Multimodal Large Language Models: An Empirical StudyMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- AIComposer: Any Style and Content Image Composition via Feature IntegrationDiffusion models → Image generation, text-to-image and editing
- Beyond Text: Probing K-12 Educators' Perspectives and Ideas for Learning Opportunities Leveraging Multimodal Large Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Text2VLM: Adapting Text-Only Datasets to Evaluate Alignment Training in Visual Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +2
- Geometric-Mean Policy OptimizationLLM reasoning → Reinforcement learning for reasoning
- Hot-Swap MarkBoard: An Efficient Black-box Watermarking Approach for Large-scale Model DistributionLLM safety and security → Watermarking generated content and models
- TransPrune: Token Transition Pruning for Efficient Large Vision-Language ModelMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- Lightweight Remote Sensing Scene Classification on Edge Devices via Knowledge Distillation and Early-exitKnowledge distillation → Detection and dense prediction distillation
- FMimic: Foundation Models are Fine-grained Action Learners from Human VideosOffline RL and imitation learning from data → Robot manipulation imitation learning
- Enhancing Large Multimodal Models with Adaptive Sparsity and KV Cache CompressionLLM reasoning → Multimodal reasoning +2
- Harnessing Diffusion-Yielded Score Priors for Image RestorationDiffusion models → Inverse problems and image restoration
- Reminiscence Attack on Residuals: Exploiting Approximate Machine Unlearning for PrivacyLLM safety and security → Machine unlearning
- Unlearning of Knowledge Graph Embedding via Preference OptimizationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods +1
- T2I-Copilot: A Training-Free Multi-Agent Text-to-Image System for Enhanced Prompt Interpretation and Interactive GenerationLLM agents and tool use → Multimodal and embodied agents
- Kimi K2: Open Agentic IntelligenceLLM agents and tool use → General LLM agent frameworks and benchmarks +1
- Enhancing Spatial Reasoning through Visual and Textual ThinkingLLM reasoning → Spatial and embodied reasoning
- SAND-Math: Using LLMs to Generate Novel, Difficult and Useful Mathematics Questions and AnswersLLM reasoning → Mathematical reasoning
- Security Challenges in AI Agent Deployment: Insights from a Large Scale Public CompetitionLLM reasoning → Reasoning for agents, planning and code +2
- AgroBench: Vision-Language Model Benchmark in AgricultureMultimodal LLMs / vision-language models → Agricultural vision-language models
- LLMs-guided adaptive compensator: Bringing Adaptivity to Automatic Control Systems with Large Language ModelsLLM reasoning → Spatial and embodied reasoning
- Customize Multi-modal RAI Guardrails with Precedent-based predictionsLLM safety and security → Safety alignment, refusal and guardrails
- DmC: Nearest Neighbor Guidance Diffusion Model for Offline Cross-domain Reinforcement LearningDiffusion models → Diffusion and flow policies for robotics +1
- Speaking in Words, Thinking in Logic: A Dual-Process Framework in QA SystemsLLM reasoning → Reasoning benchmarks and evaluation
- Conditional Diffusion Models for Global Precipitation Map InpaintingDiffusion models → Flow matching, time series and science
- Frequency-Aware Autoregressive Modeling for Efficient High-Resolution Image SynthesisDiffusion models → Image generation, text-to-image and editing
- Sustainable AI Training via Hardware-Software Co-Design on NVIDIA, AMD, and Emerging GPU Architectures
- Modeling Interactive Narrative Systems: A Formal Approach
- Enhancing Diameter Measurement Accuracy in Machine Vision Applications
- Outlier Detection Algorithm for Circle Fitting
- Intent Aware Context Retrieval for Multi-Turn Agricultural Question Answering
- Health Insurance Coverage Rule Interpretation Corpus: Law, Policy, and Medical Guidance for Health Insurance Coverage Understanding
- Navigating High Dimensional Concept Space with Metalearning
- Universal Neurons in GPT-2: Emergence, Persistence, and Functional Impact
- An analysis of AI Decision under Risk: Prospect theory emerges in Large Language Models
- Provable Knowledge Acquisition and Extraction in One-Layer Transformers
- Sparse 3D Perception for Rose Harvesting Robots: A Two-Stage Approach Bridging Simulation and Real-World Applications
- ff4ERA: A new Fuzzy Framework for Ethical Risk Assessment in AI
- Benefits of Feature Extraction and Temporal Sequence Analysis for Video Frame Prediction: An Evaluation of Hybrid Deep Learning Models
- Maximize margins for robust splicing detection
- Embedding-Aware Quantum-Classical SVMs for Scalable Quantum Machine Learning
- TypyBench: Evaluating LLM Type Inference for Untyped Python Repositories
- Teaching Language Models To Gather Information Proactively
- Efficient Neural Combinatorial Optimization Solver for the Min-max Heterogeneous Capacitated Vehicle Routing Problem
- Deep Reinforcement Learning-based Cell DTX/DRX Configuration for Network Energy Saving
- Optimizing Multi-Tier Supply Chain Ordering with LNN+XGBoost: Mitigating the Bullwhip Effect
- ProMemAssist: Exploring Timely Proactive Assistance Through Working Memory Modeling in Multi-Modal Wearable Devices
- Reservoir Computation with Networks of Differentiating Neuron Ring Oscillators
- Load Balancing for AI Training Workloads
- Top2Pano: Learning to Generate Indoor Panoramas from Top-Down View
- Turbocharging Web Automation: The Impact of Compressed History States
- Evaluating Deep Learning Models for African Wildlife Image Classification: From DenseNet to Vision Transformers
- Collaborative Perceiver: Elevating Vision-based 3D Object Detection via Local Density-Aware Spatial Occupancy
- A Contrastive Diffusion-based Network (CDNet) for Time Series Classification
- Group Relative Augmentation for Data Efficient Action Detection
- DEM-NeRF: A Neuro-Symbolic Method for Scientific Discovery through Physics-Informed Simulation
- Enhancing and Accelerating Brain MRI through Deep Learning Reconstruction Using Prior Subject-Specific Imaging
- StructText: A Synthetic Table-to-Text Approach for Benchmark Generation with Multi-Dimensional Evaluation
- Graph neural networks for residential location choice: connection to classical logit models
All 287
- A Deep Learning Automatic Speech Recognition Model for Shona Language
- Predicting VBAC Outcomes from U.S. Natality Data using Deep and Classical Machine Learning Models
- GLCP: Global-to-Local Connectivity Preservation for Tubular Structure Segmentation
- Do Large Language Models Understand Morality Across Cultures?
- VoluMe -- Authentic 3D Video Calls from Live Gaussian Splat Prediction
- Can human clinical rationales improve the performance and explainability of clinical text classification models?
- Semantic Numeration Systems as Dynamical Systems
- Fairness and Robustness of CLIP-Based Models for Chest X-rays
- SpringTime: Learning Simulatable Models of Cloth with Spatially-varying Constitutive Properties
- Curiosity by Design: An LLM-based Coding Assistant Asking Clarification Questions
- LeMix: Unified Scheduling for LLM Training and Inference on Multi-GPU Systems
- Large Language Model-Enhanced Reinforcement Learning for Diverse and Novel Recommendations
- Deep Polynomial Chaos Expansion
- Generative imaging for radio interferometry with fast uncertainty quantification
- Numerical PDE solvers outperform neural PDE solvers
- Multiscale geometrical and topological learning in the analysis of soft matter collective dynamics
- CompoST: A Benchmark for Analyzing the Ability of LLMs To Compositionally Interpret Questions in a QALD Setting
- Tracking Moose using Aerial Object Detection
- Dual Guidance Semi-Supervised Action Detection
- On Explaining Visual Captioning with Hybrid Markov Logic Networks
- Diffusion Denoiser-Aided Gyrocompassing
- Bubbleformer: Forecasting Boiling with Transformers
- Bangla BERT for Hyperpartisan News Detection: A Semi-Supervised and Explainable AI Approach
- Understanding Public Perception of Crime in Bangladesh: A Transformer-Based Approach with Explainability
- Fluidically Innervated Lattices Make Versatile and Durable Tactile Sensors
- Benchmarking a Tunable Quantum Neural Network on Trapped-Ion and Superconducting Hardware
- Learning from Limited and Imperfect Data
- An empirical comparison of some outlier detection methods with longitudinal data
- Combolutional Neural Networks
- PanoGAN A Deep Generative Model for Panoramic Dental Radiographs
- Uncovering Gradient Inversion Risks in Practical Language Model Training
- An MLI-Guided Framework for Subgroup-Aware Modeling in Electronic Health Records (AdaptHetero)
- EdgeAgentX-DT: Integrating Digital Twins and Generative AI for Resilient Edge Intelligence in Tactical Networks
- Rep-MTL: Unleashing the Power of Representation-level Task Saliency for Multi-Task Learning
- Reconstructing 4D Spatial Intelligence: A Survey
- Transformers as Unrolled Inference in Probabilistic Laplacian Eigenmaps: An Interpretation and Potential Improvements
- Brain foundation model-guided source-selective domain adaptation for cross-subject EEG decoding
- Smart Expansion Techniques for ASP-based Interactive Configuration
- SWIFT-FMQA: Enhancing Factorization Machine with Quadratic-Optimization Annealing via Sliding Window
- On Using the Shapley Value for Anomaly Localization: A Statistical Investigation
- Behavior-Specific Filtering for Enhanced Pig Behavior Classification in Precision Livestock Farming
- A Standardized Benchmark for Skeleton-Based Rehabilitation Assessment Using Deep Learning
- Predicting Cognition from fMRI:A Comparative Study of Graph, Transformer, and Kernel Models Across Task and Rest Conditions
- Learning Transferable Facial Emotion Representations from Large-Scale Semantically Rich Captions
- Memorization in Fine-Tuned Large Language Models
- Compositional Function Networks: A High-Performance Alternative to Deep Neural Networks with Built-in Interpretability
- Modular Delta Merging with Orthogonal Constraints: A Scalable Framework for Continual and Reversible Model Composition
- Annotation-Assisted Learning of Treatment Policies From Multimodal Electronic Health Records
- LargeMvC-Net: Anchor-based Deep Unfolding Network for Large-scale Multi-view Clustering
- Repairing vulnerabilities without invisible hands. A differentiated replication study on LLMs
- Adapting Vehicle Detectors for Aerial Imagery to Unseen Domains with Weak Supervision
- Locally Adaptive Conformal Inference for Operator Models
- From Entanglement to Alignment: Representation Space Decomposition for Unsupervised Time Series Domain Adaptation
- PROVCREATOR: Synthesizing Complex Heterogenous Graphs with Node and Edge Attributes
- Handoff Design in User-Centric Cell-Free Massive MIMO Networks Using DRL
- GTAD: Global Temporal Aggregation Denoising Learning for 3D Semantic Occupancy Prediction
- On the Limits of Hierarchically Embedded Logic in Classical Neural Networks
- Mean-Field Langevin Diffusions with Density-dependent Temperature
- Your AI, Not Your View: The Bias of LLMs in Investment Analysis
- Mind the Gap: Conformative Decoding to Improve Output Diversity of Instruction-Tuned Large Language Models
- PySHRED: A Python package for SHallow REcurrent Decoding for sparse sensing, model reduction and scientific discovery
- Mask-Free Audio-driven Talking Face Generation for Enhanced Visual Quality and Identity Preservation
- Partially Observable Monte-Carlo Graph Search
- Multivariate Standardized Residuals for Conformal Prediction
- ARC-Hunyuan-Video-7B: Structured Video Comprehension of Real-World Shorts
- Exploring text-to-image generation for historical document image retrieval
- FRED: Financial Retrieval-Enhanced Detection and Editing of Hallucinations in Language Models
- Breaking the Precision Ceiling in Physics-Informed Neural Networks: A Hybrid Fourier-Neural Architecture for Ultra-High Accuracy
- Zero-Shot Learning with Subsequence Reordering Pretraining for Compound-Protein Interaction
- FHSTP@EXIST 2025 Benchmark: Sexism Detection with Transparent Speech Concept Bottleneck Models
- Pareto-Grid-Guided Large Language Models for Fast and High-Quality Heuristics Design in Multi-Objective Combinatorial Optimization
- RIS-LAD: A Benchmark and Model for Referring Low-Altitude Drone Image Segmentation
- Modeling User Behavior from Adaptive Surveys with Supplemental Context
- HAMLET-FFD: Hierarchical Adaptive Multi-modal Learning Embeddings Transformation for Face Forgery Detection
- SCORPION: Addressing Scanner-Induced Variability in Histopathology
- Soft Head Selection for Injecting ICL-Derived Task Embeddings
- Music Arena: Live Evaluation for Text-to-Music
- Online hierarchical partitioning of the output space in extreme multi-label data stream
- Enhancing Project-Specific Code Completion by Inferring Internal API Information
- The Importance of Facial Features in Vision-based Sign Language Recognition: Eyes, Mouth or Full Face?
- Endoscopic Depth Estimation Based on Deep Learning: A Survey
- Testbed and Software Architecture for Enhancing Security in Industrial Private 5G Networks
- Not Only Grey Matter: OmniBrain for Robust Multimodal Classification of Alzheimer's Disease
- FedABC: Attention-Based Client Selection for Federated Learning with Long-Term View
- Bi-cephalic self-attended model to classify Parkinson's disease patients with freezing of gait
- Ensemble Foreground Management for Unsupervised Object Discovery
- Leveraging Open-Source Large Language Models for Clinical Information Extraction in Resource-Constrained Settings
- A survey of diversity quantification in natural language processing: The why, what, where and how
- Compositional Video Synthesis by Temporal Object-Centric Learning
- S3LAM: Surfel Splatting SLAM for Geometrically Accurate Tracking and Mapping
- Free Energy-Inspired Cognitive Risk Integration for AV Navigation in Pedestrian-Rich Environments
- Latent Inter-User Difference Modeling for LLM Personalization
- Towards Explainable Deep Clustering for Time Series Data
- BuildSTG: A Multi-building Energy Load Forecasting Method using Spatio-Temporal Graph Neural Network
- First Hallucination Tokens Are Different from Conditional Ones
- SCANet: Split Coordinate Attention Network for Building Footprint Extraction
- FantasyID: A dataset for detecting digital manipulations of ID-documents
- Understanding Bias in Perceiving Dimensionality Reduction Projections
- MMGraphRAG: Bridging Vision and Language with Interpretable Multimodal Knowledge Graphs
- LanternNet: A Hub-and-Spoke System to Seek and Suppress Spotted Lanternfly Populations
- An Efficient Machine Learning Framework for Forest Height Estimation from Multi-Polarimetric Multi-Baseline SAR data
- Automating Thematic Review of Prevention of Future Deaths Reports: Replicating the ONS Child Suicide Study using Large Language Models
- On The Role of Pretrained Language Models in General-Purpose Text Embeddings: A Survey
- Investigation of Accuracy and Bias in Face Recognition Trained with Synthetic Data
- RingMo-Agent: A Unified Remote Sensing Foundation Model for Multi-Platform and Multi-Modal Reasoning
- evalSmarT: An LLM-Based Framework for Evaluating Smart Contract Generated Comments
- Onboard Hyperspectral Super-Resolution with Deep Pushbroom Neural Network
- ATR-UMMIM: A Benchmark Dataset for UAV-Based Multimodal Image Registration under Complex Imaging Conditions
- KASportsFormer: Kinematic Anatomy Enhanced Transformer for 3D Human Pose Estimation on Short Sports Scene Video
- Learning to See Inside Opaque Liquid Containers using Speckle Vibrometry
- Beyond Listenership: AI-Predicted Interventions Drive Improvements in Maternal Health Behaviours
- Industry Insights from Comparing Deep Learning and GBDT Models for E-Commerce Learning-to-Rank
- Multilingual Self-Taught Faithfulness Evaluators
- AR-LIF: Adaptive reset leaky integrate-and-fire neuron for spiking neural networks
- Regularizing Subspace Redundancy of Low-Rank Adaptation
- Implicit Counterfactual Learning for Audio-Visual Segmentation
- Multi-Masked Querying Network for Robust Emotion Recognition from Incomplete Multi-Modal Physiological Signals
- Style-Aware Blending and Prototype-Based Cross-Contrast Consistency for Semi-Supervised Medical Image Segmentation
- Learning the Value Systems of Societies from Preferences
- Uncertainty-driven Embedding Convolution
- Prostate Cancer Classification Using Multimodal Feature Fusion and Explainable AI
- Algorithmic Fairness: A Runtime Perspective
- Exposing the Illusion of Fairness: Auditing Vulnerabilities to Distributional Manipulation Attacks
- A General Framework for Dynamic MAPF using Multi-Shot ASP and Tunnels
- When Scale Meets Diversity: Evaluating Language Models on Fine-Grained Multilingual Claim Verification
- Automatic camera orientation estimation for a partially calibrated camera above a plane with a line at known planar distance
- Lightweight Transformer-Driven Segmentation of Hotspots and Snail Trails in Solar PV Thermal Imagery
- Novel Pivoted Cholesky Decompositions for Efficient Gaussian Process Inference
- A Multimodal Architecture for Endpoint Position Prediction in Team-based Multiplayer Games
- MIMII-Agent: Leveraging LLMs with Function Calling for Relative Evaluation of Anomalous Sound Detection
- Trustworthy AI-based crack-tip segmentation using domain-guided explanations
- Deep Generative Models of Evolution: SNP-level Population Adaptation by Genomic Linkage Incorporation
- Ontology-Enhanced Knowledge Graph Completion using Large Language Models
- Adaptive Fuzzy Time Series Forecasting via Partially Asymmetric Convolution and Sub-Sliding Window Fusion
- Self-Supervised Continuous Colormap Recovery from a 2D Scalar Field Visualization without a Legend
- DAMS:Dual-Branch Adaptive Multiscale Spatiotemporal Framework for Video Anomaly Detection
- Controllable Video-to-Music Generation with Multiple Time-Varying Conditions
- Complementarity-driven Representation Learning for Multi-modal Knowledge Graph Completion
- Before the Outrage: Challenges and Advances in Predicting Online Antisocial Behavior
- Enhanced Deep Learning DeepFake Detection Integrating Handcrafted Features
- Comparing and Scaling fMRI Features for Brain-Behavior Prediction
- PhaseNAS: Language-Model Driven Architecture Search with Dynamic Phase Adaptation
- Methods for the Segmentation of Reticular Structures Using 3D LiDAR Data: A Comparative Evaluation
- M-Net: MRI Brain Tumor Sequential Segmentation Network via Mesh-Cast
- AV-Deepfake1M++: A Large-Scale Audio-Visual Deepfake Benchmark with Real-World Perturbations
- Beyond Interactions: Node-Level Graph Generation for Knowledge-Free Augmentation in Recommender Systems
- A note on the Artstein-Avidan-Milman's generalized Legendre transforms
- Fusing CFD and measurement data using transfer learning
- Implicit Spatiotemporal Bandwidth Enhancement Filter by Sine-activated Deep Learning Model for Fast 3D Photoacoustic Tomography
- LSFDNet: A Single-Stage Fusion and Detection Network for Ships Using SWIR and LWIR
- DAG-AFL:Directed Acyclic Graph-based Asynchronous Federated Learning
- Learning Phonetic Context-Dependent Viseme for Enhancing Speech-Driven 3D Facial Animation
- ZSE-Cap: A Zero-Shot Ensemble for Image Retrieval and Prompt-Guided Captioning
- MemoryTalker: Personalized Speech-Driven 3D Facial Animation via Audio-Guided Stylization
- Statistical Inference for Differentially Private Stochastic Gradient Descent
- FED-PsyAU: Privacy-Preserving Micro-Expression Recognition via Psychological AU Coordination and Dynamic Facial Motion Modeling
- Annotation-Free Human Sketch Quality Assessment
- Enhancing Hallucination Detection via Future Context
- Improving Group Fairness in Tensor Completion via Imbalance Mitigating Entity Augmentation
- MeLA: A Metacognitive LLM-Driven Architecture for Automatic Heuristic Design
- Kernel Learning for Sample Constrained Black-Box Optimization
- Low-Cost Machine Vision System for Sorting Green Lentils (Lens Culinaris) Based on Pneumatic Ejection and Deep Learning
- Dialogues of Dissent: Thematic and Rhetorical Dimensions of Hate and Counter-Hate Speech in Social Media Conversations
- The Xeno Sutra: Can Meaning and Value be Ascribed to an AI-Generated "Sacred" Text?
- AQUA: A Large Language Model for Aquaculture & Fisheries
- T2VParser: Adaptive Decomposition Tokens for Partial Alignment in Text to Video Retrieval
- Efficient Proxy Raytracer for Optical Systems using Implicit Neural Representations
- GaRe: Relightable 3D Gaussian Splatting for Outdoor Scenes from Unconstrained Photo Collections
- Beyond Class Tokens: LLM-guided Dominant Property Mining for Few-shot Classification
- Investigating the Effect of Spatial Context on Multi-Task Sea Ice Segmentation
- An Improved YOLOv8 Approach for Small Target Detection of Rice Spikelet Flowering in Field Environments
- Attributed Graph Clustering with Multi-Scale Weight-Based Pairwise Coarsening and Contrastive Learning
- Mixture of Length and Pruning Experts for Knowledge Graphs Reasoning
- Deep Reputation Scoring in DeFi: zScore-Based Wallet Ranking from Liquidity and Trading Signals
- HIAL: A New Paradigm for Hypergraph Active Learning via Influence Maximization
- Automated 3D-GS Registration and Fusion via Skeleton Alignment and Gaussian-Adaptive Features
- Priority-Aware Clinical Pathology Hierarchy Training for Multiple Instance Learning
- Operator Inference Aware Quadratic Manifolds with Isotropic Reduced Coordinates for Nonintrusive Model Reduction
- Shapley-Value-Based Graph Sparsification for GNN Inference
- Diagonally-Weighted Generalized Method of Moments Estimation for Gaussian Mixture Modeling
- Your Attention Matters: to Improve Model Robustness to Noise and Spurious Correlations
- JOLT3D: Joint Learning of Talking Heads and 3DMM Parameters with Application to Lip-Sync
- STARN-GAT: A Multi-Modal Spatio-Temporal Graph Attention Network for Accident Severity Prediction
- WEEP: A Differentiable Nonconvex Sparse Regularizer via Weakly-Convex Envelope
- BOASF: A Unified Framework for Speeding up Automatic Machine Learning via Adaptive Successive Filtering
- Enhancing QoS in Edge Computing through Federated Layering Techniques: A Pathway to Resilient AI Lifelong Learning Systems
- Provable In-Context Learning of Nonlinear Regression with Transformers