Papers
Wed 16 Jul 2025
318 papers
- From Black Box to Biomarker: Sparse Autoencoders for Interpreting Speech Models of Parkinson's DiseaseMechanistic interpretability → Interpreting biomedical and science models
- MADI: Masking-Augmented Diffusion with Inference-Time Scaling for Visual EditingLLM reasoning → Diffusion reasoning and test-time scaling +1
- DyG-RAG: Dynamic Graph Retrieval-Augmented Generation with Event-Centric ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning +1
- DLSF: Dual-Layer Synergistic Fusion for High-Fidelity Image Syn-thesisDiffusion models → Image generation, text-to-image and editing
- Distributional Reinforcement Learning on Path-dependent OptionsDeep reinforcement learning methods → Adversarial robustness and RL in finance
- Reconstruct, Inpaint, Test-Time Finetune: Dynamic Novel-view Synthesis from Monocular VideosDiffusion models → 3D, point cloud and scene generation
- VLMgineer: Vision Language Models as Robotic ToolsmithsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Reasoning-Finetuning Repurposes Latent Representations in Base ModelsLLM reasoning → Test-time compute and efficient thinking
- NLI4VolVis: Natural Language Interaction for Volume Visualization via LLM Multi-Agents and Editable 3D Gaussian SplattingLLM agents and tool use → Multimodal and embodied agents
- A Survey of Explainable Reinforcement Learning: Targets, Methods and NeedsDeep reinforcement learning methods → Interpretable and logic-guided RL
- Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- MindJourney: Test-Time Scaling with World Models for Spatial ReasoningWorld models → World models for language agents +1
- Scaling Up RL: Unlocking Diverse Reasoning in LLMs via Prolonged TrainingLLM reasoning → Reinforcement learning for reasoning
- ReAL-AD: Towards Human-Like Reasoning in End-to-End Autonomous DrivingLLM reasoning → Chain-of-thought reasoning for driving +1
- CytoSAE: Interpretable Cell Embeddings for HematologyMechanistic interpretability → Interpreting biomedical and science models
- Mitigating Object Hallucinations via Sentence-Level Early InterventionMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Describe Anything Model for Visual Question Answering on Text-rich ImagesMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- EgoVLA: Learning Vision-Language-Action Models from Egocentric Human VideosVision-language-action models → Human-video and latent-action pretraining +1
- Can We Predict Alignment Before Models Finish Thinking? Towards Monitoring Misaligned Reasoning ModelsLLM reasoning → Prompting and chain-of-thought reasoning +2
- Advancing Retrieval-Augmented Generation for Structured Enterprise and Internal DataRetrieval-augmented generation → RAG pipeline design and evaluation
- Mixture of Raytraced ExpertsMixture-of-experts → MoE theory and gating functions
- AutoVDC: Automated Vision Data Cleaning Using Vision-Language ModelsMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
- ROC-n-reroll: How verifier imperfection affects test-time scalingLLM reasoning → Test-time compute and efficient thinking
- Assessing the Value of Visual Input: A Benchmark of Multimodal Large Language Models for Robotic Path PlanningMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Improving Reinforcement Learning Sample-Efficiency using Local ApproximationDeep reinforcement learning methods → RL theory and sample complexity
- Developing Visual Augmented Q&A System using Scalable Vision Embedding Retrieval & Late Interaction Re-rankerMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- Improving Lightweight Weed Detection via Knowledge DistillationKnowledge distillation → Detection and dense prediction distillation
- Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion PriorsDiffusion models → 3D, point cloud and scene generation
- Compositional Discrete Latent Code for High Fidelity, Productive Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Thought Purity: A Defense Framework For Chain-of-Thought AttackLLM reasoning → Reasoning for agents, planning and code
- FADE: Adversarial Concept Erasure in Flow ModelsDiffusion models → Robustness, privacy and adversarial aspects
- Infherno: End-to-end Agent-based FHIR Resource Synthesis from Free-form Clinical NotesLLM agents and tool use → Medical and scientific domain agents
- Generate to Ground: Multimodal Text Conditioning Boosts Phrase Grounding in Medical Vision-Language ModelsMultimodal LLMs / vision-language models → Medical vision-language models +1
- Xiangqi-R1: Enhancing Spatial Strategic Reasoning in LLMs for Chinese Chess via Reinforcement LearningLLM reasoning → Reasoning for agents, planning and code
- Sparse Autoencoders for Sequential Recommendation Models: Interpretation and Flexible ControlMechanistic interpretability → SAE features and their applications
- RODS: Robust Optimization Inspired Diffusion Sampling for Detecting and Reducing Hallucination in Generative ModelsDiffusion models → Medical imaging and segmentation
- BenchRL-QAS: Benchmarking reinforcement learning algorithms for quantum architecture searchDeep reinforcement learning methods → Quantum reinforcement learning
- Jailbreaking Generative AI: Multivector Phishing Threats and Transformer based DefensesLLM safety and security → Prompt injection and agent security
- SmokeSVD: Smoke Reconstruction from A Single View via Progressive Novel View Synthesis and Refinement with Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
- Findings of MEGA: Maths Explanation with LLMs using the Socratic Method for Active LearningLLM reasoning → Mathematical reasoning
- InstructFLIP: Exploring Unified Vision-Language Model for Face Anti-spoofingMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- Evaluating the Ability of Large Language Models to Reason about Cardinal Directions, RevisitedLLM reasoning → Reasoning benchmarks and evaluation
- Granular feedback merits sophisticated aggregationLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Towards Ultra-Reliable 6G in-X Subnetworks: Dynamic Link Adaptation by Deep Reinforcement LearningDeep reinforcement learning methods → RL for energy, networks and operations
- 3D-MoRe: Unified Modal-Contextual Reasoning for Embodied Question AnsweringLLM reasoning → Spatial and embodied reasoning
- Robust Planning for Autonomous Vehicles with Diffusion-Based Failure SamplersDiffusion models → Diffusion and flow policies for robotics +1
- Aime: Towards Fully-Autonomous Multi-Agent FrameworkLLM agents and tool use → General LLM agent frameworks and benchmarks
- Style Composition within Distinct LoRA modules for Traditional ArtDiffusion models → Image generation, text-to-image and editing
- EC-Diff: Fast and High-Quality Edge-Cloud Collaborative Inference for Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Value-Based Large Language Model Agent Simulation for Mutual Evaluation of Trust and Interpersonal ClosenessLLM agents and tool use → Social simulation and multi-agent debate
- Online Training and Pruning of Deep Reinforcement Learning NetworksDeep reinforcement learning methods → Deep RL algorithms and representations
- GS-Bias: Global-Spatial Bias Learner for Single-Image Test-Time Adaptation of Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Watch, Listen, Understand, Mislead: Tri-modal Adversarial Attacks on Short Videos for Content Appropriateness EvaluationMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- The benefits of query-based KGQA systems for complex and temporal questions in LLM eraLLM reasoning → Knowledge- and tool-augmented reasoning
- IAM: Efficient Inference through Attention Mapping between Different-scale LLMsEfficient LLM inference and serving → KV cache optimization
- DAC: A Dynamic Attention-aware Approach for Task-Agnostic Prompt CompressionEfficient LLM inference and serving → Prompt and context compression
- POLYCHARTQA: Benchmarking Large Vision-Language Models with Multilingual Chart Question AnsweringMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- A Survey of Deep Learning for Geometry Problem SolvingLLM reasoning → Spatial and embodied reasoning
- Hyperphantasia: A Benchmark for Evaluating the Mental Visualization Capabilities of Multimodal LLMsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- From Generative to Episodic: Sample-Efficient Replicable Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- Schr"odinger Bridge Consistency Trajectory Models for Speech EnhancementDiffusion models → Audio, speech and music
- Context-Aware Search and Retrieval Over Erasure ChannelsRetrieval-augmented generation → Generation and context integration
- LLMs Encode Harmfulness and Refusal SeparatelyLLM safety and security → Safety alignment, refusal and guardrails
- DualReward: A Dynamic Reinforcement Learning Framework for Cloze Tests Distractor GenerationDeep reinforcement learning methods → RL training of language and agent models
- SimDiffRec: Semantic Similarity-Guided Diffusion for Contrastive Sequential RecommendationDiffusion models → Diffusion recommenders
- CosmoFlow: Scale-Aware Representation Learning for Cosmology with Flow MatchingDiffusion models → Inverse problems and image restoration
- CorrMoE: Mixture of Experts with De-stylization Learning for Cross-Scene and Cross-Domain Correspondence PruningMixture-of-experts → Vision mixture-of-experts
- MNIST-Gen: A Modular MNIST-Style Dataset Generation Using Hierarchical Semantics, Reinforcement Learning, and Category TheoryDeep reinforcement learning methods → RL with diffusion and flow models
- Deploying Geospatial Foundation Models in the Real World: Lessons from WorldCereal
- A Compute-Matched Re-Evaluation of TroVE on MATH
- Incentivised Orchestrated Training Architecture (IOTA): A Technical Primer for Release
- Domain Generalization via Pareto Optimal Gradient Matching
- Diffusion-based translation between unpaired spontaneous premature neonatal EEG and fetal MEG
- Multi-Granular Discretization for Interpretable Generalization in Precise Cyberattack Identification
- Fair Representation in Parliamentary Summaries: Measuring and Mitigating Inclusion Bias
- Advanced Space Mapping Technique Integrating a Shared Coarse Model for Multistate Tuning-Driven Multiphysics Optimization of Tunable Filters
- Artificial Intelligence for Green Hydrogen Yield Prediction and Site Suitability using SHAP-Based Composite Index: Focus on Oman
- Cognitive Castes: Artificial Intelligence, Epistemic Stratification, and the Dissolution of Democratic Discourse
- Geometry-Aware Active Learning of Pattern Rankings via Choquet-Based Aggregation
- Distributed Machine Learning Approach for Low-Latency Localization in Cell-Free Massive MIMO Systems
- Developing an AI-Guided Assistant Device for the Deaf and Hearing Impaired
- UL-DD: A Multimodal Drowsiness Dataset Using Video, Biometric Signals, and Behavioral Data
- Selective Embedding for Deep Learning
- Trustworthy Pedestrian Trajectory Prediction via Pattern-Aware Interaction Modeling
- Mitigating Stylistic Biases of Machine Translation Systems via Monolingual Corpora Only
- Enhanced DeepLab Based Nerve Segmentation with Optimized Tuning
- Improving KAN with CDF normalization to quantiles
- TopicImpact: Improving Customer Feedback Analysis with Opinion Units for Topic Modeling and Star-Rating Prediction
- PARAM-1 BharatGen 2.9B Model
- From Binary to Semantic: Utilizing Large-Scale Binary Occupancy Data for 3D Semantic Occupancy Prediction
- Minimalist Concept Erasure in Generative Models
- Benchmarking Deception Probes via Black-to-White Performance Boosts
- TRIQA: Image Quality Assessment by Contrastive Pretraining on Ordered Distortion Triplets
- Finite-Dimensional Gaussian Approximation for Deep Neural Networks: Universality in Random Weights
- Improving Drug Identification in Overdose Death Surveillance using Large Language Models
- Data Transformation Strategies to Remove Heterogeneity
- FORTRESS: Function-composition Optimized Real-Time Resilient Structural Segmentation via Kolmogorov-Arnold Enhanced Spatial Attention Networks
- ParaStudent: Closing the Sim2Real Gap in User Simulators for AI Tutor Evaluation
- The first open machine translation system for the Chechen language
- InSight: AI Mobile Screening Tool for Multiple Eye Disease Detection using Multimodal Fusion
All 318
- Fly, Fail, Fix: Iterative Game Repair with Reinforcement Learning and Large Multimodal Models
- Single Conversation Methodology: A Human-Centered Protocol for AI-Assisted Software Development
- Integrated Oculomics and Lipidomics Reveal Microvascular Metabolic Signatures Associated with Cardiovascular Health in a Healthy Cohort
- Physics constrained learning of stochastic characteristics
- Improving physics-informed neural network extrapolation via transfer learning and adaptive activation functions
- A Fuzzy Approach to Project Success: Measuring What Matters
- Federated Learning in Offline and Online EMG Decoding: A Privacy and Performance Perspective
- A Novel Data Augmentation Strategy for Robust Deep Learning Classification of Biomedical Time-Series Data: Application to ECG and EEG Analysis
- QSpark: Towards Reliable Qiskit Code Generation
- Achieving Robust Channel Estimation Neural Networks by Designed Training Data
- Funnel-HOI: Top-Down Perception for Zero-Shot HOI Detection
- Pathology-Guided Virtual Staining Metric for Evaluation and Training
- BootSeer: Analyzing and Mitigating Initialization Bottlenecks in Large-Scale LLM Training
- Predicting Soccer Penalty Kick Direction Using Human Action Recognition
- Learning Task Mixtures from Task Affinities: A Probabilistic Graphical Model for Supervised Fine-Tuning
- Are encoders able to learn landmarkers for warm-starting of Hyperparameter Optimization?
- MS-DGCNN++: Multi-Scale Dynamic Graph Convolution with Scale-Dependent Normalization for Robust LiDAR Tree Species Classification
- HairFormer: Transformer-Based Dynamic Neural Hair Simulation
- CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling
- From Time-series Generation, Model Selection to Transfer Learning: A Comparative Review of Pixel-wise Approaches for Large-scale Crop Mapping
- Second-Order Bounds for [0,1]-Valued Regression via Betting Loss
- Ranking Vectors Clustering: Theory and Applications
- Cross-World Assumption and Refining Prediction Intervals for Individual Treatment Effects
- Deep Bilinear Koopman Model for Real-Time Vehicle Control in Frenet Frame
- Assay2Mol: large language model-based drug design using BioAssay context
- IncA-DES: An incremental and adaptive dynamic ensemble selection approach using online K-d tree neighborhood search for data streams with concept drift
- Safeguarding Federated Learning-based Road Condition Classification
- Evaluation of Neural Surrogates for Physical Modelling Synthesis of Nonlinear Elastic Plates
- Rel-HNN: Split Parallel Hypergraph Neural Network for Learning on Relational Databases
- Can Mental Imagery Improve the Thinking Capabilities of AI Systems?
- Is This Just Fantasy? Language Model Representations Reflect Human Judgments of Event Plausibility
- The Serial Scaling Hypothesis
- Modeling Open-World Cognition as On-Demand Synthesis of Probabilistic Models
- Transforming Football Data into Object-centric Event Logs with Spatial Context Information
- Complex non-backtracking matrix for directed graphs
- GLOMIA-Pro: A Generalizable Longitudinal Medical Image Analysis Framework for Disease Progression Prediction
- Language Models Improve When Pretraining Data Matches Target Tasks
- PhysX-3D: Physical-Grounded 3D Asset Generation
- MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding
- SpatialTrackerV2: 3D Point Tracking Made Easy
- Interpreting Radiologist's Intention from Eye Movements in Chest X-ray Diagnosis
- Cost-aware Stopping for Bayesian Optimization
- S2WTM: Spherical Sliced-Wasserstein Autoencoder for Topic Modeling
- Vision-based Perception for Autonomous Vehicles in Obstacle Avoidance Scenarios
- LLM-Based Config Synthesis requires Disambiguation
- Characterizing State Space Model and Hybrid Language Model Performance with Long Context
- A Bayesian Incentive Mechanism for Poison-Resilient Federated Learning
- Targeted Deep Architectures: A TMLE-Based Framework for Robust Causal Inference in Neural Networks
- Traffic-Aware Pedestrian Intention Prediction
- Unit-Based Histopathology Tissue Segmentation via Multi-Level Feature Representation
- DVFL-Net: A Lightweight Distilled Video Focal Modulation Network for Spatio-Temporal Action Recognition
- InterpIoU: Rethinking Bounding Box Regression with Interpolation-Based IoU Optimization
- Spontaneous Spatial Cognition Emerges during Egocentric Video Viewing through Non-invasive BCI
- QuRe: Query-Relevant Retrieval through Hard Negative Sampling in Composed Image Retrieval
- NOCTA: Non-Greedy Objective Cost-Tradeoff Acquisition for Longitudinal Data
- Neural Network-Guided Symbolic Regression for Interpretable Descriptor Discovery in Perovskite Catalysts
- OD-VIRAT: A Large-Scale Benchmark for Object Detection in Realistic Surveillance Environments
- Trustworthy Tree-based Machine Learning by MoS2 Flash-based Analog CAM with Inherent Soft Boundaries
- Text-driven Multiplanar Visual Interaction for Semi-supervised Medical Image Segmentation
- Heat Kernel Goes Topological
- Probing for Arithmetic Errors in Language Models
- Web-Browsing LLMs Can Access Social Media Profiles and Infer User Demographics
- Beyond Single Models: Enhancing LLM Detection of Ambiguity in Requests through Debate
- GitChameleon 2.0: Evaluating AI Code Generation Against Python Library Version Incompatibilities
- FactorHD: A Hyperdimensional Computing Model for Multi-Object Multi-Class Representation and Factorization
- Cluster Contrast for Unsupervised Visual Representation Learning
- Surrogate modeling for uncertainty quantification in nonlinear dynamics
- Exploring Gender Bias in Alzheimer's Disease Detection: Insights from Mandarin and Greek Speech Perception
- Nonlinear Concept Erasure: a Density Matching Approach
- Neural Polar Decoders for Deletion Channels
- Chain-of-Descriptions: Improving Code LLMs for VHDL Code Generation and Summarization
- PROL : Rehearsal Free Continual Learning in Streaming Data via Prompt Online Learning
- RegCL: Compact Continual SAM Adaptation for Visual Grounding in Multi-Sensorial Media
- Text-ADBench: Text Anomaly Detection Benchmark Based on LLM Embeddings
- Efficient Calisthenics Skills Classification through Foreground Instance Selection and Depth Estimation
- SHACL Validation in the Presence of Ontologies: Semantics and Rewriting Techniques
- MERA Code: A Unified Framework for Evaluating Code Generation Across Tasks
- Site-Level Fine-Tuning with Progressive Layer Freezing: Towards Robust Prediction of Bronchopulmonary Dysplasia from Day-1 Chest Radiographs in Extremely Preterm Infants
- A Framework for Nonstationary Gaussian Processes with Neural Network Parameters
- Translationese-index: Using Likelihood Ratios for Graded and Generalizable Measurement of Translationese
- Robust Causal Discovery in Real-World Time Series with Power-Laws
- Surrogate Quantum Circuit Design for the Lattice Boltzmann Collision Operator
- Improving Contextual ASR via Multi-grained Fusion with Large Language Models
- Fast Variational Bayes for Large Spatial Data
- Comparative Analysis of CNN Performance in Keras, PyTorch and JAX on PathMNIST
- Designing Algorithms for Entropic Optimal Transport from an Optimisation Perspective
- Calisthenics Skills Temporal Video Segmentation
- Looking for Fairness in Recommender Systems
- Universal Fourier Neural Operators for periodic homogenization problems in linear elasticity
- MGFFD-VLM: Multi-Granularity Prompt Learning for Face Forgery Detection with VLM
- Optimizers Qualitatively Alter Solutions And We Should Leverage This
- Physics-Informed Linear Model (PILM): Analytical Representations and Application to Crustal Strain Rate Estimation
- Towards few-shot isolated word reading assessment
- Draw an Ugly Person An Exploration of Generative AIs Perceptions of Ugliness
- The Behavioural Translation Style Space: Towards simulating the temporal dynamics of affect, behaviour, and cognition in human translation production
- BuildEvo: Designing Building Energy Consumption Forecasting Heuristics via LLM-driven Evolution
- Quantize More, Lose Less: Autoregressive Generation from Residually Quantized Speech Representations
- A Selective Quantization Tuner for ONNX Models
- Revealing the Ancient Beauty: Digital Reconstruction of Temple Tiles using Computer Vision
- Explainable Evidential Clustering
- Wavelet-based Decoupling Framework for low-light Stereo Image Enhancement
- Partially Observable Reference Policy Programming: Solving POMDPs Sans Numerical Optimisation
- Asymptotic behavior of eigenvalues of large rank perturbations of large random matrices
- Hybrid Ensemble Approaches: Optimal Deep Feature Fusion and Hyperparameter-Tuned Classifier Ensembling for Enhanced Brain Tumor Classification
- RUMAA: Repeat-Aware Unified Music Audio Analysis for Score-Performance Alignment, Transcription, and Mistake Detection
- RadioDiff-3D: A 3D×3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication
- Multi-Component VAE with Gaussian Markov Random Field
- Fine-Grained Image Recognition from Scratch with Teacher-Guided Data Augmentation
- PRISM: Distributed Inference for Foundation Models at Edge
- FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale
- Overview of the Sensemaking Task at the ELOQUENT 2025 Lab: LLMs as Teachers, Students and Evaluators
- LoRA meets Riemannion: Muon Optimizer for Parametrization-independent Low-Rank Adapters
- Neural Human Pose Prior
- AD-GS: Object-Aware B-Spline Gaussian Splatting for Self-Supervised Autonomous Driving
- Learning Pixel-adaptive Multi-layer Perceptrons for Real-time Image Enhancement
- HyDRA: A Hybrid Dual-Mode Network for Closed- and Open-Set RFFI with Optimized VMD
- DoRF: Doppler Radiance Fields for Robust Human Activity Recognition Using Wi-Fi
- Self-Adaptive and Robust Federated Spectrum Sensing without Benign Majority for Cellular Networks
- Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis
- Block-based Symmetric Pruning and Fusion for Efficient Vision Transformers
- Open-Vocabulary Indoor Object Grounding with 3D Hierarchical Scene Graph
- Quantum Machine Learning in Multi-Qubit Phase-Space Part I: Foundations
- LidarPainter: One-Step Away From Any Lidar View To Novel Guidance
- Topology Enhanced MARL for Multi-Agent Cooperative Decision-Making of CAVs
- Multimodal Coordinated Online Behavior: Trade-offs and Strategies
- Non-Adaptive Adversarial Face Generation
- Out-of-distribution data supervision towards biomedical semantic segmentation
- From Static to Intelligent: Evolving SaaS Pricing with LLMs
- DeepShade: Enable Shade Simulation by Text-conditioned Image Generation
- A Privacy-Preserving Framework for Advertising Personalization Incorporating Federated Learning and Differential Privacy
- BRUM: Robust 3D Vehicle Reconstruction from 360 Sparse Images
- Is This Predictor More Informative than Another? A Decision-Theoretical Comparison
- Benchmarking and Explaining Deep Learning Cortical Lesion MRI Segmentation in Multiple Sclerosis
- Better Convergence Guarantees for Sign-Based Momentum Methods
- YOLOv8-SMOT: An Efficient and Robust Framework for Real-Time Small Object Tracking via Slice-Assisted Training and Adaptive Association
- Foresight in Motion: Reinforcing Trajectory Prediction with Reward Heuristics
- BOOKCOREF: Coreference Resolution at Book Scale
- Emergence of Quantised Representations Isolated to Anisotropic Functions
- StylOch at PAN: Gradient-Boosted Trees with Frequency-Based Stylometric Features
- MS-DETR: Towards Effective Video Moment Retrieval and Highlight Detection by Joint Motion-Semantic Learning
- FloGAN: Scenario-Based Urban Mobility Flow Generation via Conditional GANs and Dynamic Region Decoupling
- IDFace: Face Template Protection for Efficient and Secure Identification
- MoViAD: A Modular Library for Visual Anomaly Detection
- Information-Theoretic Generalization Bounds of Replay-based Continual Learning
- Stereo Sound Event Localization and Detection with Onscreen/offscreen Classification
- A Comparative Approach to Assessing Linguistic Creativity of Large Language Models and Humans
- Intra-view and Inter-view Correlation Guided Multi-view Novel Class Discovery
- SGLoc: Semantic Localization System for Camera Pose Estimation from 3D Gaussian Splatting Representation
- MVAR: MultiVariate AutoRegressive Air Pollutants Forecasting Model
- Dataset Ownership Verification for Pre-trained Masked Models
- Incorporating Fairness Constraints into Archetypal Analysis
- SS-DC: Spatial-Spectral Decoupling and Coupling Across Visible-Infrared Gap for Domain Adaptive Object Detection
- Identifying Signatures of Image Phenotypes to Track Treatment Response in Liver Disease
- DUSE: A Data Expansion Framework for Low-resource Automatic Modulation Recognition based on Active Learning
- Deep Neural Encoder-Decoder Model to Relate fMRI Brain Activity with Naturalistic Stimuli
- Dual form Complementary Masking for Domain-Adaptive Image Segmentation
- Frequency-Dynamic Attention Modulation for Dense Prediction
- Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis
- Expanding ML-Documentation Standards For Better Security
- Detecting In-Person Conversations in Noisy Real-World Environments with Smartwatch Audio and Motion Sensing
- AU-Blendshape for Fine-grained Stylized 3D Facial Expression Manipulation
- Can LLMs Find Fraudsters? Multi-level LLM Enhanced Graph Fraud Detection
- SAMST: A Transformer framework based on SAM pseudo label filtering for remote sensing semi-supervised semantic segmentation
- Understanding visual attention beehind bee-inspired UAV navigation
- ID-EA: Identity-driven Text Enhancement and Adaptation with Textual Inversion for Personalized Text-to-Image Generation
- Formal Verification of Neural Certificates Done Dynamically
- Unsupervised Part Discovery via Descriptor-Based Masked Image Restoration with Optimized Constraints
- Dataset-Adaptive Dimensionality Reduction
- Simplifications are Absolutists: How Simplified Language Reduces Word Sense Awareness in LLM-Generated Definitions
- Recent results on searches with boosted Higgs bosons at CMS
- Graph Representations for Reading Comprehension Analysis using Large Language Model and Eye-Tracking Biomarker
- HPR3D: Hierarchical Proxy Representation for High-Fidelity 3D Reconstruction and Controllable Editing
- Language-Guided Contrastive Audio-Visual Masked Autoencoder with Automatically Generated Audio-Visual-Text Triplets from Videos
- Toxicity-Aware Few-Shot Prompting for Low-Resource Singlish Translation
- d-DQIVAR: Data-centric Visual Analytics and Reasoning for Data Quality Improvement
- PoTPTQ: A Two-step Power-of-Two Post-training for LLMs
- Prototypical Progressive Alignment and Reweighting for Generalizable Semantic Segmentation
- RNAMunin: A Deep Machine Learning Model for Non-coding RNA Discovery
- MOSPA: Human Motion Generation Driven by Spatial Audio
- Kevin: Multi-Turn RL for Generating CUDA Kernels
- RaDL: Relation-aware Disentangled Learning for Multi-Instance Text-to-Image Generation
- Effective Fine-Tuning of Vision Transformers with Low-Rank Adaptation for Privacy-Preserving Image Classification
- BlockBPE: Parallel BPE Tokenization
- A Multi-Level Similarity Approach for Single-View Object Grasping: Matching, Planning, and Fine-Tuning
- AI-Native Open RAN for Non-Terrestrial Networks: An Overview
- Dark-EvGS: Event Camera as an Eye for Radiance Field in the Dark
- Accelerating RF Power Amplifier Design via Intelligent Sampling and ML-Based Parameter Tuning
- Enhancing Signal Proportion Estimation Through Leveraging Arbitrary Covariance Structures
- A Parallel CPU-GPU Framework for Batching Heuristic Operations in Depth-First Heuristic Search
- AFPM: Alignment-based Frame Patch Modeling for Cross-Dataset EEG Decoding
- SEPose: A Synthetic Event-based Human Pose Estimation Dataset for Pedestrian Monitoring
- Resampling strategies for imbalanced regression: a survey and empirical analysis
- Imbalanced Regression Pipeline Recommendation
- CompressedVQA-HDR: Generalized Full-reference and No-reference Quality Assessment Models for Compressed High Dynamic Range Videos
- Newfluence: Boosting Model interpretability and Understanding in High Dimensions
- Spatial Frequency Modulation for Semantic Segmentation
- From Coarse to Nuanced: Cross-Modal Alignment of Fine-Grained Linguistic Cues and Visual Salient Regions for Dynamic Emotion Recognition
- Choosing the Better Bandit Algorithm under Data Sharing: When Do A/B Experiments Work?
- Marco-Bench-MIF: On Multilingual Instruction-Following Capability of Large Language Models
- COLA-GEC: A Bidirectional Framework for Enhancing Grammatical Acceptability and Error Correction
- Optimizing Drivers' Discount Order Acceptance Strategies: A Policy-Improved Deep Deterministic Policy Gradient Framework
- Cross-Domain Transfer and Few-Shot Learning for Personal Identifiable Information Recognition
- OrdShap: Feature Position Importance for Sequential Black-Box Models
- A Spatial-Physics Informed Model for 3D Spiral Sample Scanned by SQUID Microscopy
- Towards Autonomous Riding: A Review of Perception, Planning, and Control in Intelligent Two-Wheelers
- Your LLM Knows the Future: Uncovering Its Multi-Token Prediction Potential
- Interactive Hybrid Rice Breeding with Parametric Dual Projection
- Generalized Linear Bandits: Almost Optimal Regret with One-Pass Update
- ProtoConNet: Prototypical Augmentation and Alignment for Open-Set Few-Shot Image Classification
- Protenix-Mini: Efficient Structure Predictor via Compact Architecture, Few-Step Diffusion and Switchable pLM
- HyperEvent: A Strong Baseline for Dynamic Link Prediction via Relative Structural Encoding
- ILID: Native Script Language Identification for Indian Languages
- Arctic Inference with Shift Parallelism: Fast and Efficient Open Source Inference System for Enterprise AI
- SynCoGen: Synthesizable 3D Molecule Generation via Joint Reaction and Coordinate Modeling
- Evolving Roles of LLMs in Scientific Innovation: Assistant, Collaborator, Scientist, and Evaluator
- Tracing Facts or just Copies? A critical investigation of the Competitions of Mechanisms in Large Language Models
- CLID-MU: Cross-Layer Information Divergence Based Meta Update Strategy for Learning with Noisy Labels
- MOFSimBench: Evaluating Universal Machine Learning Interatomic Potentials In Metal--Organic Framework Molecular Modeling