Papers
Mon 21 Apr 2025
270 papers
- Jailbreak Detection in Clinical Training LLMs Using Feature-Based Predictive ModelsLLM safety and security → Jailbreaking
- RepliBench: Evaluating the Autonomous Replication Capabilities of Language Model AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- DualBreach: Efficient Dual-Jailbreaking via Target-Driven Initialization and Multi-Target OptimizationLLM safety and security → Jailbreaking
- Backdoor Defense in Diffusion Models via Spatial Attention UnlearningDiffusion models → Robustness, privacy and adversarial aspects +1
- Multimodal Large Language Models for Enhanced Traffic Safety: A Comprehensive Review and Future TrendsMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
- MARFT: Multi-Agent Reinforcement Fine-TuningLLM agents and tool use → Reinforcement learning for LLM agents
- CAPTURe: Evaluating Spatial Reasoning in Vision Language Models via Occluded Object CountingLLM reasoning → Spatial and embodied reasoning +1
- In-context Ranking Preference OptimizationLLM alignment / RLHF / preference optimisation → Preference alignment for recommenders and RAG
- Speculative Sampling via Exponential RacesEfficient LLM inference and serving → Speculative decoding
- Agent for User: Testing Multi-User Interactive Features in TikTokLLM agents and tool use → GUI and mobile agents
- Emergence and Evolution of Interpretable Concepts in Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- LAPP: Large Language Model Feedback for Preference-Driven Reinforcement LearningLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Learning Adaptive Parallel Reasoning with Language ModelsLLM reasoning → Test-time compute and efficient thinking
- IV-Bench: A Benchmark for Image-Grounded Video Perception and Reasoning in Multimodal LLMsLLM reasoning → Multimodal reasoning +1
- MirrorVerse: Pushing Diffusion Models to Realistically Reflect the WorldDiffusion models → 3D, point cloud and scene generation
- KeyDiff: Key Similarity-Based KV Cache Eviction for Long-Context LLM Inference in Resource-Constrained EnvironmentsEfficient LLM inference and serving → KV cache optimization
- LongPerceptualThoughts: Distilling System-2 Reasoning for System-1 PerceptionLLM reasoning → Multimodal reasoning
- Seeing from Another Perspective: Evaluating Multi-View Understanding in MLLMsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- VisuLogic: A Benchmark for Evaluating Visual Reasoning in Multi-modal Large Language ModelsLLM reasoning → Multimodal reasoning +1
- Stop Summation: Min-Form Credit Assignment Is All Process Reward Model Needs for ReasoningLLM reasoning → Reinforcement learning for reasoning +1
- Eagle 2.5: Boosting Long-Context Post-Training for Frontier Vision-Language ModelsMultimodal LLMs / vision-language models → Video understanding with MLLMs
- An LMM for Efficient Video Understanding via Reinforced Compression of Video CubesMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Interpretable Locomotion Prediction in Construction Using a Memory-Driven LLM Agent With Chain-of-Thought ReasoningLLM reasoning → Spatial and embodied reasoning +1
- Bringing Diversity from Diffusion Models to Semantic-Guided Face Asset GenerationDiffusion models → Image generation, text-to-image and editing
- Evaluating Judges as Evaluators: The JETTS Benchmark of LLM-as-Judges as Test-Time Scaling EvaluatorsLLM reasoning → Reasoning benchmarks and evaluation +1
- MrGuard: A Multilingual Reasoning Guardrail for Universal LLM SafetyLLM reasoning → Reasoning for agents, planning and code +1
- A Self-Improving Coding AgentLLM agents and tool use → Software engineering coding agents +1
- DRAGON: Distributional Rewards Optimize Diffusion Generative ModelsDiffusion models → Diffusion and flow policies for robotics +1
- Integrating Symbolic Execution into the Fine-Tuning of Code-Generating LLMsLLM alignment / RLHF / preference optimisation → Process reward models for reasoning
- Support Evaluation for the TREC 2024 RAG Track: Comparing Human versus LLM JudgesRetrieval-augmented generation → RAG pipeline design and evaluation
- Synergistic Weak-Strong Collaboration by Aligning PreferencesLLM reasoning → Test-time compute and efficient thinking +1
- DSPO: Direct Semantic Preference Optimization for Real-World Image Super-ResolutionDiffusion models → Diffusion and flow policies for robotics +1
- Automatic Generation of Aerobatic Flight in Complex Environments via Diffusion ModelsDiffusion models → Diffusion and flow policies for robotics
- Instance-Adaptive Keypoint Learning with Local-to-Global Geometric Aggregation for Category-Level Object Pose EstimationState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models
- Rethinking the Potential of Multimodality in Collaborative Problem Solving Diagnosis with Large Language ModelsLLM reasoning → Multimodal reasoning
- Think2SQL: Reinforce LLM Reasoning Capabilities for Text2SQLLLM reasoning → Knowledge- and tool-augmented reasoning
- The Great Nugget Recall: Automating Fact Extraction and RAG Evaluation with Large Language ModelsRetrieval-augmented generation → RAG pipeline design and evaluation
- Structure-guided Diffusion Transformer for Low-Light Image EnhancementDiffusion models → Inverse problems and image restoration
- RainbowPlus: Enhancing Adversarial Prompt Generation via Evolutionary Quality-Diversity SearchLLM safety and security → Prompt injection and agent security
- Text-to-Decision Agent: Offline Meta-Reinforcement Learning from Natural Language SupervisionOffline RL and imitation learning from data → Decision transformers and sequence modeling
- Scaling and Beyond: Advancing Spatial Reasoning in MLLMs Requires New RecipesLLM reasoning → Spatial and embodied reasoning +1
- SOLIDO: A Robust Watermarking Method for Speech Synthesis via Low-Rank AdaptationDiffusion models → Robustness, privacy and adversarial aspects
- Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
- Efficient Pretraining Length ScalingEfficient LLM inference and serving → Early exit and edge inference
- Benchmarking Large Vision-Language Models on Fine-Grained Image Tasks: A Comprehensive EvaluationMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- aiXamine: Simplified LLM Safety and SecurityLLM safety and security → Safety alignment, refusal and guardrails
- MoE Parallel Folding: Heterogeneous Parallelism Mappings for Efficient Large-Scale MoE Model Training with Megatron CoreMixture-of-experts → Efficient MoE training and inference systems
- PIV-FlowDiffuser:Transfer-learning-based denoising diffusion models for PIVDiffusion models → Flow matching, time series and science
- Learning to Reason under Off-Policy GuidanceLLM reasoning → Reinforcement learning for reasoning
- WindVE: Collaborative CPU-NPU Vector EmbeddingRetrieval-augmented generation → RAG pipeline design and evaluation
- TWIG: Two-Step Image Generation using Segmentation Masks in Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects
- EducationQ: Evaluating LLMs' Teaching Capabilities Through Multi-Agent Dialogue FrameworkLLM agents and tool use → Educational agents and math problem solving
- POLYRAG: Integrating Polyviews into Retrieval-Augmented Generation for Medical ApplicationsLLM reasoning → Clinical and biomedical applications +1
- CRAVE: A Conflicting Reasoning Approach for Explainable Claim Verification Using LLMsLLM reasoning → Reasoning benchmarks and evaluation
- Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive SurveyRetrieval-augmented generation → RAG pipeline design and evaluation
- Efficient Function Orchestration for Large Language ModelsLLM agents and tool use → Tool learning and function calling
- Acting Less is Reasoning More! Teaching Model to Act EfficientlyLLM reasoning → Reasoning for agents, planning and code +1
- Retrieval is Not Enough: Enhancing RAG Reasoning through Test-Time Critique and OptimizationLLM reasoning → Knowledge- and tool-augmented reasoning +1
- Transparentize the Internal and External Knowledge Utilization in LLMs with Trustworthy CitationRetrieval-augmented generation → RAG robustness and adaptive retrieval
- Object-Level Verbalized Confidence Calibration in Vision-Language Models via Semantic PerturbationMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Establishing Reliability Metrics for Reward Models in Large Language ModelsLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Completing A Systematic Review in Hours instead of Months with Interactive AI AgentsLLM agents and tool use → Web, search, and research agents
- What Lurks Within? Concept Auditing for Shared Diffusion Models at ScaleDiffusion models → Robustness, privacy and adversarial aspects
- On Self-improving Token EmbeddingsSynthetic data and self-improvement for LLMs → LLM synthetic data generation
- RUB: Evaluating Residual Knowledge in Unlearned ModelsLLM safety and security → Machine unlearning
- Novel Concept-Oriented Synthetic Data approach for Training Generative AI-Driven Crystal Grain Analysis Using Diffusion ModelDiffusion models → Flow matching, time series and science
- gLLM: Global Balanced Pipeline Parallelism System for Distributed LLM Serving with Token ThrottlingEfficient LLM inference and serving → Serving systems and request scheduling
- PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning CapabilitiesLLM agents and tool use → General LLM agent frameworks and benchmarks
- Developing a Dyslexia Indicator Using Eye Tracking
- Advancing AI-assisted Hardware Design with Hierarchical Decentralized Training and Personalized Inference-Time Optimization
- A comprehensive survey of cybercrimes in India over the last decade
- From Dialect Gaps to Identity Maps: Tackling Variability in Speaker Verification
- Ultra-Low-Power Spiking Neurons in 7 nm FinFET Technology: A Comparative Analysis of Leaky Integrate-and-Fire, Morris-Lecar, and Axon-Hillock Architectures
- Splitwiser: Efficient LM inference with constrained resources
- The AI Co-Ethnographer: How Far Can Automation Take Qualitative Research?
- HYPEROFA: Expanding LLM Vocabulary to New Languages via Hypernetwork-Based Embedding Initialization
- ViQA-COVID: COVID-19 Machine Reading Comprehension Dataset for Vietnamese
- Nested Named-Entity Recognition on Vietnamese COVID-19: Dataset and Experiments
- Feature Selection via GANs (GANFS): Enhancing Machine Learning Models for DDoS Mitigation
- Fuzzy Logic -- Based Scheduling System for Part-Time Workforce
- Spectral Dictionary Learning for Generative Image Modeling
- Intrinsic Barriers to Explaining Deep Foundation Models
- Trends in Frontier AI Model Count: A Forecast to 2028
- Virology Capabilities Test (VCT): A Multimodal Virology Q&A Benchmark
- Active Learning Methods for Efficient Data Utilization and Model Performance Enhancement
- A Conceptual Framework for AI-based Decision Systems in Critical Infrastructures
- Efficacy of a Computer Tutor that Models Expert Human Tutors
- Introduction to Quantum Machine Learning and Quantum Architecture Search
- A Self-supervised Learning Method for Raman Spectroscopy based on Masked Autoencoders
- Hybrid Knowledge Transfer through Attention and Logit Distillation for On-Device Vision Systems in Agricultural IoT
- MonoTher-Depth: Enhancing Thermal Depth Estimation via Confidence-Aware Distillation
- Application of Deep Generative Models for Anomaly Detection in Complex Financial Transactions
- Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence
- Split-quaternions for perceptual white balance
- Unifying Image Counterfactuals and Feature Attributions with Latent-Space Adversarial Attacks
- Bigram Subnetworks: Mapping to Next Tokens in Transformer Language Models
- Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images
- LithOS: An Operating System for Efficient Machine Learning on GPUs
- Compton Form Factor Extraction using Quantum Deep Neural Networks
- Improving Human-AI Coordination through Online Adversarial Training and Generative Models
All 270
- Visualizing Public Opinion on X: A Real-Time Sentiment Dashboard Using VADER and DistilBERT
- Demand for LLMs: Descriptive Evidence on Substitution, Market Expansion, and Multihoming
- Combating Toxic Language: A Review of LLM-Based Strategies for Software Engineering
- AGI Is Coming... Right After AI Learns to Play Wordle
- Feeding LLM Annotations to BERT Classifiers at Your Own Risk
- Trillion 7B Technical Report
- Solving Multi-Agent Safe Optimal Control with Distributed Epigraph Form MARL
- LLM-Assisted Translation of Legacy FORTRAN Codes to C++: A Cross-Platform Study
- On the Boolean Network Theory of Datalog^neg
- Post-Convergence Sim-to-Real Policy Transfer: A Principled Alternative to Cherry-Picking
- Context Aware Grounded Teacher for Source Free Object Detection
- Improving Learning to Optimize Using Parameter Symmetries
- Tell Me What You Know About Sexism: Expert-LLM Interaction Strategies and Co-Created Definitions for Zero-Shot Sexism Detection
- Deep learning with missing data
- Assessing Surrogate Heterogeneity in Real World Data Using Meta-Learners
- ICGM-FRAX: Iterative Cross Graph Matching for Hip Fracture Risk Assessment using Dual-energy X-ray Absorptiometry Images
- Plug-and-Play Versatile Compressed Video Enhancement
- Physics Driven Image Simulation from Commercial Satellite Imagery
- Towards Understanding Camera Motions in Any Video
- FLARE: Feature-based Lightweight Aggregation for Robust Evaluation of IoT Intrusion Detection
- Event2Vec: Processing Neuromorphic Events Directly by Representations in Vector Space
- Transferable Learning of Reaction Pathways from Geometric Priors
- Solving New Tasks by Adapting Internet Video Knowledge
- FedFetch: Faster Federated Learning with Adaptive Downstream Prefetching
- Reliable Classification with Conformal Learning and Interval-Type 2 Fuzzy Sets
- Exploring Compositional Generalization (in COGS/ReCOGS_pos) by Transformers using Restricted Access Sequence Processing (RASP)
- Med-CoDE: Medical Critique based Disagreement Evaluation Framework
- Vision6D: 3D-to-2D Interactive Visualization and Annotation Tool for 6D Pose Estimation
- Bayesian Federated Learning for Continual Training
- Advancing Embodied Intelligence in Robotic-Assisted Endovascular Procedures: A Systematic Review of AI Solutions
- Significativity Indices for Agreement Values
- A Graph Based Raman Spectral Processing Technique for Exosome Classification
- HyperFlow: Gradient-Free Emulation of Few-Shot Fine-Tuning
- How to systematically develop an effective AI-based bias correction model?
- StyleMe3D: Stylization with Disentangled Priors by Multiple Encoders on 3D Gaussians
- DRAWER: Digital Reconstruction and Articulation With Environment Realism
- Diffusion Bridge Models for 3D Medical Image Translation
- Roll the dice & look before you leap: Going beyond the creative limits of next-token prediction
- Revealing the 3D Cosmic Web through Gravitationally Constrained Neural Fields
- Leveraging Language Models for Automated Patient Record Linkage
- FlowReasoner: Reinforcing Query-Level Meta-Agents
- CRUST-Bench: A Comprehensive Benchmark for C-to-safe-Rust Transpilation
- SuoiAI: Building a Dataset for Aquatic Invertebrates in Vietnam
- On Learning Parallel Pancakes with Mostly Uniform Weights
- Faster Algorithms for Agnostically Learning Disjunctions and their Implications
- Single-loop Algorithms for Stochastic Non-convex Optimization with Weakly-Convex Constraints
- Conformalized-KANs: Uncertainty Quantification with Coverage Guarantees for Kolmogorov-Arnold Networks (KANs) in Scientific Machine Learning
- Values in the Wild: Discovering and Analyzing Values in Real-World Language Model Interactions
- Shape-Guided Clothing Warping for Virtual Try-On
- A Genetic Fuzzy-Enabled Framework on Robotic Manipulation for In-Space Servicing
- M2AD: Multi-Sensor Multi-System Anomaly Detection through Global Scoring and Calibrated Thresholding
- A Deep Learning Framework for Sequence Mining with Bidirectional LSTM and Multi-Scale Attention
- Fully Bayesian Approaches to Topics over Time
- EvalAgent: Discovering Implicit Evaluation Criteria from the Web
- Histogram-based Parameter-efficient Tuning for Passive and Active Sonar Classification
- Embracing Ambiguity: Bayesian Nonparametrics and Stakeholder Participation for Ambiguity-Aware Safety Evaluation
- A Causal Convolutional Low-rank Representation Model for Imputation of Water Quality Data
- Compute-Optimal LLMs Provably Generalize Better With Scale
- How Global Calibration Strengthens Multiaccuracy
- Zero-Shot, But at What Cost? Unveiling the Hidden Overhead of MILS's LLM-CLIP Framework for Image Captioning
- Automated Measurement of Eczema Severity with Self-Supervised Learning
- Breast density in MRI: an AI-based quantification and relationship to assessment in mammography
- Tiger200K: Manually Curated High Visual Quality Video Dataset from UGC Platform
- Mapping Industry Practices to the EU AI Act's GPAI Code of Practice Safety and Security Measures
- FaceCraft4D: Animated 3D Facial Avatar Generation from a Single Image
- Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture
- HSANET: A Hybrid Self-Cross Attention Network For Remote Sensing Change Detection
- On true empty category
- An Efficient Aerial Image Detection with Variable Receptive Fields
- Survey of Loss Augmented Knowledge Tracing
- The Synthetic Imputation Approach: Generating Optimal Synthetic Texts For Underrepresented Categories In Supervised Classification Tasks
- Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration
- Advanced posterior analyses of hidden Markov models: finite Markov chain imbedding and hybrid decoding
- Dynamic 3D KAN Convolution with Adaptive Grid Optimization for Hyperspectral Image Classification
- Landmark-Free Preoperative-to-Intraoperative Registration in Laparoscopic Liver Resection
- Behavioral Universe Network (BUN): A Behavioral Information-Based Framework for Complex Systems
- "I Know It When I See It": Mood Spaces for Connecting and Expressing Visual Concepts
- C2RUST-BENCH: A Minimized, Representative Dataset for C-to-Rust Transpilation Evaluation
- KGMEL: Knowledge Graph-Enhanced Multimodal Entity Linking
- EasyEdit2: An Easy-to-use Steering Framework for Editing Large Language Models
- Neural ATTF: A Scalable Solution to Lifelong Multi-Agent Path Planning
- Towards Task-Oriented Flying: Framework, Infrastructure, and Principles
- Contemplative Artificial Intelligence
- MoBGS: Motion Deblurring Dynamic 3D Gaussian Splatting for Blurry Monocular Video
- Robust and Real-time Surface Normal Estimation from Stereo Disparities using Affine Transformations
- Kuwain 1.5B: An Arabic SLM via Language Injection
- Improving Sound Source Localization with Joint Slot Attention on Image and Audio
- Approximation Rates in Besov Norms and Sample-Complexity of Kolmogorov-Arnold Networks with Residual Connections
- Unwarping Screen Content Images via Structure-texture Enhancement Network and Transformation Self-estimation
- A triple-branch network for latent fingerprint enhancement guided by orientation fields and minutiae
- NeuGaze: Reshaping the future BCI
- Application of Sensitivity Analysis Methods for Studying Neural Network Models
- Fast-Slow Co-advancing Optimizer: Toward Harmonious Adversarial Training of GAN
- VistaDepth: Improving far-range Depth Estimation with Spectral Modulation and Adaptive Reweighting
- Federated Latent Factor Model for Bias-Aware Recommendation with Privacy-Preserving
- Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation
- Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs
- Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-Attention
- Rhythm of Opinion: A Hawkes-Graph Framework for Dynamic Propagation Analysis
- Aria-MIDI: A Dataset of Piano MIDI Files for Symbolic Music Modeling
- Chinese-LiPS: A Chinese audio-visual speech recognition dataset with Lip-reading and Presentation Slides
- Mining Characteristics of Vulnerable Smart Contracts Across Lifecycle Stages
- OPO: Making Decision-Focused Data Acquisition Decisions
- Testing LLMs' Capabilities in Annotating Translations Based on an Error Typology Designed for LSP Translation: First Experiments with ChatGPT
- VeLU: Variance-enhanced Learning Unit for Deep Neural Networks
- ScanEdit: Hierarchically-Guided Functional 3D Scan Editing
- Beyond Terabit/s Integrated Neuromorphic Photonic Processor for DSP-Free Optical Interconnects
- Distribution-aware Forgetting Compensation for Exemplar-Free Lifelong Person Re-identification
- DyST-XL: Dynamic Layout Planning and Content Control for Compositional Text-to-Video Generation
- A Controllable Appearance Representation for Flexible Transfer and Editing
- DistilQwen2.5: Industrial Practices of Training Distilled Open Lightweight Language Models
- LLMs as Data Annotators: How Close Are We to Human Performance
- Is Intelligence the Right Direction in New OS Scheduling for Multiple Resources in Cloud Environments?
- Stay Hungry, Stay Foolish: On the Extended Reading Articles Generation with LLMs
- Insert Anything: Image Insertion via In-Context Editing in DiT
- Shifts in Doctors' Eye Movements Between Real and AI-Generated Medical Images
- NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study
- Trainable Quantum Neural Network for Multiclass Image Classification with the Power of Pre-trained Tree Tensor Networks
- Learning Compositional Transferability of Time Series for Source-Free Domain Adaptation
- RealisDance-DiT: Simple yet Strong Baseline towards Controllable Character Animation in the Wild
- Cyc3D: Fine-grained Controllable 3D Generation via Cycle Consistency Regularization
- Evaluating LLMs on Chinese Topic Constructions: A Research Proposal Inspired by Tian et al. (2024)
- 3D Gaussian Head Avatars with Expressive Dynamic Appearances by Compact Tensorial Representations
- Evaluating Code Generation of LLMs in Advanced Computer Science Problems
- Speaker Fuzzy Fingerprints: Benchmarking Text-Based Identification in Multiparty Dialogues
- Efficient Document Retrieval with G-Retriever
- AGI-Driven Generative Semantic Communications: Principles and Practices
- Symmetry-Preserving Architecture for Multi-NUMA Environments (SPANE): A Deep Reinforcement Learning Approach for Dynamic VM Scheduling
- Integrating Response Time and Attention Duration in Bayesian Preference Learning for Multiple Criteria Decision Aiding
- Causal DAG Summarization (Full Version)
- Giving AI a voice: how does AI think it should be treated?
- Fast Adversarial Training with Weak-to-Strong Spatial-Temporal Consistency in the Frequency Domain on Videos
- DyFo: A Training-Free Dynamic Focus Visual Search for Enhancing LMMs in Fine-Grained Visual Understanding
- GenCLIP: Generalizing CLIP Prompts for Zero-shot Anomaly Detection
- StableQuant: Layer Adaptive Post-Training Quantization for Speech Foundation Models
- Guidelines for External Disturbance Factors in the Use of OCR in Real-World Environments
- Dynamic Graph-Like Learning with Contrastive Clustering on Temporally-Factored Ship Motion Data for Imbalanced Sea State Estimation in Autonomous Vessel
- OmniAudio: Generating Spatial Audio from 360-Degree Video
- VLM as Policy: Common-Law Content Moderation Framework for Short Video Platform
- Uni3C: Unifying Precisely 3D-Enhanced Camera and Human Motion Controls for Video Generation
- Expected Free Energy-based Planning as Variational Inference
- Latent Bayesian Optimization via Autoregressive Normalizing Flows
- WMKA-Net: A Weighted Multi-Kernel Attention Network for Retinal Vessel Segmentation
- Memory-Augmented Dual-Decoder Networks for Multi-Class Unsupervised Anomaly Detection
- Some Optimizers are More Equal: Understanding the Role of Optimizers in Group Fairness
- Impact of Latent Space Dimension on IoT Botnet Detection Performance: VAE-Encoder Versus ViT-Encoder
- Collaborative Enhancement Network for Low-quality Multi-spectral Vehicle Re-identification
- ReSpec: Relevance and Specificity Grounded Online Filtering for Learning on Video-Text Data Streams
- Natural Fingerprints of Large Language Models
- Twin Co-Adaptive Dialogue for Progressive Image Generation
- Bridge the Gap: From Weak to Full Supervision for Temporal Action Localization with PseudoFormer
- Uncertainty quantification of neural network models of evolving processes via Langevin sampling
- Reliable Multi-Modal Object Re-Identification via Modality-Aware Graph Reasoning
- Exploring ℓ0 Sparsification for Inference-free Sparse Retrievers
- Protecting Your Voice: Temporal-aware Robust Watermarking
- Distribution-aware Dataset Distillation for Efficient Image Restoration
- ECViT: Efficient Convolutional Vision Transformer with Local-Attention and Multi-scale Stages
- A Diagnostic Evaluation of Neural Networks Trained with the Error Diffusion Learning Algorithm
- DONOD: Efficient and Generalizable Instruction Fine-Tuning for LLMs via Model-Intrinsic Dataset Pruning
- Real-Time Sleepiness Detection for Driver State Monitoring System
- Dynamic Contrastive Skill Learning with State-Transition Based Skill Clustering and Dynamic Length Adjustment
- Automatic Evaluation Metrics for Document-level Translation: Overview, Challenges and Trends
- A Survey on Small Sample Imbalance Problem: Metrics, Feature Analysis, and Solutions
- Automated Duplicate Bug Report Detection in Large Open Bug Repositories
- Edge-boosted graph learning for functional brain connectivity analysis
- A Bayesian Approach to Segmentation with Noisy Labels via Spatially Correlated Distributions
- Enhanced Data-driven Topology Design Methodology with Multi-level Mesh and Correlation-based Mutation for Stress-related Multi-objective Optimization
- DC4CR: When Cloud Removal Meets Diffusion Control in Remote Sensing
- How Effective Can Dropout Be in Multiple Instance Learning ?
- Exploring Collaborative GenAI Agents in Synchronous Group Settings: Eliciting Team Perceptions and Design Considerations for the Future of Work