mlsanityData to 14 Oct 2026

Papers

New on arXiv

Thu 29 Aug 2024

258 papers

  1. HyPA-RAG: A Hybrid Parameter Adaptive Retrieval-Augmented Generation System for AI Legal and Policy ApplicationsRetrieval-augmented generation → Legal and financial RAG
  2. Emerging Vulnerabilities in Frontier Models: Multi-Turn Jailbreak AttacksLLM safety and security → Jailbreaking
  3. HoneyComb: A Flexible LLM-Based Agent System for Materials ScienceLLM agents and tool use → Medical and scientific domain agents
  4. MAPF-GPT: Imitation Learning for Multi-Agent Pathfinding at ScaleLLM agents and tool use → General LLM agent frameworks and benchmarks +1
  5. Logic Contrastive Reasoning with Lightweight Large Language Model for Math Word ProblemsLLM reasoning → Mathematical reasoning
  6. FlowRetrieval: Flow-Guided Data Retrieval for Few-Shot Imitation LearningOffline RL and imitation learning from data → Robot manipulation imitation learning
  7. VLM-KD: Knowledge Distillation from VLM for Long-Tail Visual RecognitionKnowledge distillation → Multimodal distillation
  8. Multimodal ELBO with Diffusion DecodersDiffusion models → Diffusion foundations and sampling
  9. Coverage Analysis of Multi-Environment Q-Learning Algorithms for Wireless Network OptimizationDeep reinforcement learning methods → RL for energy, networks and operations
  10. Enabling Local Editing in Diffusion Models by Joint and Individual Component AnalysisDiffusion models → Diffusion foundations and sampling
  11. Fluent and Accurate Image Captioning with a Self-Trained Reward ModelLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
  12. STEREO: A Two-Stage Framework for Adversarially Robust Concept Erasing from Text-to-Image Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
  13. PromptSmooth: Certifying Robustness of Medical Vision-Language Models via Prompt LearningMultimodal LLMs / vision-language models → Medical vision-language models
  14. ReconX: Reconstruct Any Scene from Sparse Views with Video Diffusion ModelDiffusion models → 3D, point cloud and scene generation
  15. CSGO: Content-Style Composition in Text-to-Image GenerationDiffusion models → Image generation, text-to-image and editing
  16. A Score-Based Density Formula, with Applications in Diffusion Generative ModelsDiffusion models → Diffusion foundations and sampling
  17. OmniRe: Omni Urban Scene ReconstructionWorld models → World models for autonomous driving
  18. Reinforcement Learning without Human Feedback for Last Mile Fine-Tuning of Large Language ModelsLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  19. A Gradient Analysis Framework for Rewarding Good and Penalizing Bad Examples in Language ModelsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  20. Smaller, Weaker, Yet Better: Training LLM Reasoners via Compute-Optimal SamplingLLM reasoning → Reasoning benchmarks and evaluation +1
  21. VideoLLM-MoD: Efficient Video-Language Streaming with Mixture-of-Depths Vision ComputationMultimodal LLMs / vision-language models → Visual token pruning and efficiency
  22. Mini-Omni: Language Models Can Hear, Talk While Thinking in StreamingLLM reasoning → Audio-language model reasoning
  23. DriveGenVLM: Real-world Video Generation for Vision Language Model based Autonomous DrivingMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection +2
  24. RLCP: A Reinforcement Learning-based Copyright Protection Method for Text-to-Image Diffusion ModelDiffusion models → Robustness, privacy and adversarial aspects
  25. MST-KD: Multiple Specialized Teachers Knowledge Distillation for Fair Face RecognitionKnowledge distillation → General knowledge distillation methods
  26. GRPose: Learning Graph Relations for Human Image Generation with Pose PriorsDiffusion models → 3D, point cloud and scene generation
  27. CogVLM2: Visual Language Models for Image and Video UnderstandingMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  28. Adapting Vision-Language Models to Open Classes via Test-Time Prompt TuningMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  29. Self-Alignment: Improving Alignment of Cultural Values in LLMs via In-Context LearningLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  30. Spiking Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  31. Gradient-free variational learning with conditional mixture networksMixture-of-experts → MoE theory and gating functions
  32. COIN: Control-Inpainting Diffusion Prior for Human and Camera Motion EstimationDiffusion models → Video generation
  33. Text-Enhanced Zero-Shot Action Recognition: A training-free approachMultimodal LLMs / vision-language models → Video understanding with MLLMs
  34. Law of Vision Representation in MLLMsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  35. The Unreasonable Ineffectiveness of Nucleus Sampling on Mitigating Text MemorizationLLM reasoning → Reasoning benchmarks and evaluation
  36. Self-Improving Diffusion Models with Synthetic DataDiffusion models → Diffusion foundations and sampling
  37. Critic-CoT: Boosting the reasoning abilities of large language model via Chain-of-thoughts CriticLLM reasoning → Test-time compute and efficient thinking
  38. Bootstrap Segmentation Foundation Model under Distribution Shift via Object-Centric LearningSynthetic data and self-improvement for LLMs → Self-improving MLLMs and synthetic data
  39. Rethinking Sparse Lexical Representations for Image Retrieval in the Age of Rising Multi-Modal Large Language ModelsLLM reasoning → Multimodal reasoning +1
  40. Physics of Language Models: Part 2.2, How to Learn From Mistakes on Grade-School Math ProblemsLLM reasoning → Mathematical reasoning
  41. Near-Optimal Policy Identification in Robust Constrained Markov Decision Processes via Epigraph FormDeep reinforcement learning methods → RL theory and sample complexity
  42. Inversion Circle Interpolation: Diffusion-based Image Augmentation for Data-scarce ClassificationDiffusion models → Image generation, text-to-image and editing
  43. On Convergence of Average-Reward Q-Learning in Weakly Communicating Markov Decision ProcessesDeep reinforcement learning methods → RL theory and sample complexity
  44. Iterated Energy-based Flow Matching for Sampling from Boltzmann DensitiesDiffusion models → Flow matching, time series and science
  45. LLaVA-SG: Leveraging Scene Graphs as Visual Semantic Expression in Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  46. M4CXR: Exploring Multi-task Potentials of Multi-modal Large Language Models for Chest X-ray InterpretationMultimodal LLMs / vision-language models → Medical vision-language models
  47. AI Meets the Classroom: When Do Large Language Models Harm Learning?
  48. United in Diversity? Contextual Biases in LLM-Based Predictions of the 2024 European Parliament Elections
  49. ElasticAI: Creating and Deploying Energy-Efficient Deep Learning Accelerator for Pervasive Computing
  50. Semantic Communication for Cooperative Perception using HARQ
  51. Acceptable Use Policies for Foundation Models
  52. ChatSUMO: Large Language Model for Automating Traffic Scenario Generation in Simulation of Urban MObility
  53. Reconsidering the Energy Efficiency of Spiking Neural Networks Inference from Analytical Perspectives
  54. WET: Overcoming Paraphrasing Vulnerabilities in Embeddings-as-a-Service with Linear Transformation Watermarks
  55. Tiny-Toxic-Detector: A compact transformer-based model for toxic content detection
  56. Statistical Analysis of the Impact of Quaternion Components in Convolutional Neural Networks
  57. PrivacyLens: Evaluating Privacy Norm Awareness of Language Models in Action
  58. A Survey for Large Language Models in Biomedicine
  59. Mirror contrastive loss based sliding window transformer for subject-independent motor imagery based EEG signal recognition
  60. Estimating the number of reachable positions in Minishogi
  61. Can Large Language Models Replace Human Subjects? A Large-Scale Replication of Scenario-Based Experiments in Psychology and Management
  62. Latent-EnSF: A Latent Ensemble Score Filter for High-Dimensional Data Assimilation with Sparse Observation Data
  63. Different Victims, Same Layout: Email Visual Similarity Detection for Enhanced Email Protection
  64. A longitudinal sentiment analysis of Sinophobia during COVID-19 using large language models
  65. Efficient Transonic Aeroelastic Model Reduction Using Optimized Sparse Multi-Input Polynomial Functionals
  66. Theoretical Insights into Overparameterized Models in Multi-Task and Replay-Based Continual Learning
  67. Plausible-Parrots @ MSP2023: Enhancing Semantic Plausibility Modeling using Entity and Event Knowledge
  68. Event Extraction for Portuguese: A QA-driven Approach using ACE-2005
  69. AI-driven Reverse Engineering of QML Models
  70. ACE-2005-PT: Corpus for Event Extraction in Portuguese
  71. Enhancing Autism Spectrum Disorder Early Detection with the Parent-Child Dyads Block-Play Protocol and an Attention-enhanced GCN-xLSTM Hybrid Deep Learning Framework
  72. Analyzing Inference Privacy Risks Through Gradients in Machine Learning
  73. Ig3D: Integrating 3D Face Representations in Facial Expression Inference
  74. Distributed Lag Transformer based on Time-Variable-Aware Learning for Explainable Multivariate Time Series Forecasting
  75. Exploring Multiple Strategies to Improve Multilingual Coreference Resolution in CorefUD
  76. Tex-ViT: A Generalizable, Robust, Texture-based dual-branch cross-attention deepfake detector
  77. Robotic warehousing operations: a learn-then-optimize approach to large-scale neighborhood search
  78. LLaVA-Chef: A Multi-modal Generative Model for Food Recipes
  79. LV-UNet: A Lightweight and Vanilla Model for Medical Image Segmentation
  80. FineFACE: Fair Facial Attribute Classification Leveraging Fine-grained Features
  81. MSLIQA: Enhancing Learning Representations for Image Quality Assessment through Multi-Scale Learning
  82. Longitudinal Modularity, a Modularity for Link Streams
  83. Learning Multi-agent Multi-machine Tending by Mobile Robots
  84. GSTAM: Efficient Graph Distillation with Structural Attention-Matching
  85. Characterization of point-source transient events with a rolling-shutter compressed sensing system
  86. GameIR: A Large-Scale Synthesized Ground-Truth Dataset for Image Restoration over Gaming Content
  87. Probabilistic Decomposed Linear Dynamical Systems for Robust Discovery of Latent Neural Dynamics
  88. Evaluating Deep Learning Models for Breast Cancer Classification: A Comparative Study
  89. Modeling offensive content detection for TikTok
  90. The Star Geometry of Critic-Based Regularizer Learning
  91. Machine Learning-Based Research on the Adaptability of Adolescents to Online Education
  92. AdapShare: An RL-Based Dynamic Spectrum Sharing Solution for O-RAN
  93. Maven: A Multimodal Foundation Model for Supernova Science
  94. See or Guess: Counterfactually Regularized Image Captioning
  95. Physics-Informed Neural Networks and Extensions
  96. Efficient Hierarchical Transformers for Representing Log Data
  97. CNN Based Detection of Cardiovascular Diseases from ECG Images
  98. Generative AI in Ship Design
  99. 3D Whole-body Grasp Synthesis with Directional Controllability
  100. SAM2Point: Segment Any 3D as Videos in Zero-shot and Promptable Manners
All 258
  1. UV-free Texture Generation with Denoising and Geodesic Heat Diffusions
  2. Dissecting Out-of-Distribution Detection and Open-Set Recognition: A Critical Analysis of Methods and Benchmarks
  3. How Well Do LLMs Handle Cantonese? Benchmarking Cantonese Capabilities of Large Language Models
  4. Assessing Large Language Models for Online Extremism Research: Identification, Explanation, and New Knowledge
  5. Theoretical and Methodological Framework for Studying Texts Produced by Large Language Models
  6. Prediction-Feedback DETR for Temporal Action Detection
  7. H-SGANet: Hybrid Sparse Graph Attention Network for Deformable Medical Image Registration
  8. GREAT: A Graph Edge Attention Network for the Electric Vehicle Routing Problem with Asymmetric Costs
  9. Enhanced forecasting of stock prices based on variational mode decomposition, PatchTST, and adaptive scale-weighted layer
  10. One-Shot Learning Meets Depth Diffusion in Multi-Object Videos
  11. GradBias: Unveiling Word Influence on Bias in Text-to-Image Generative Models
  12. SympGNNs: Symplectic Graph Neural Networks for identifiying high-dimensional Hamiltonian systems and node classification
  13. Generic Objects as Pose Probes for Few-shot View Synthesis
  14. CW-CNN & CW-AN: Convolutional Networks and Attention Networks for CW-Complexes
  15. PartFormer: Awakening Latent Diverse Representation from Vision Transformer for Object Re-Identification
  16. A Catalog of Fairness-Aware Practices in Machine Learning Engineering
  17. Preserving Diversity in Supervised Fine-Tuning of Large Language Models
  18. Jina-ColBERT-v2: A General-Purpose Multilingual Late Interaction Retriever
  19. Iterative Graph Alignment
  20. Space3D-Bench: Spatial 3D Question Answering Benchmark
  21. Improving Weakly-supervised Video Instance Segmentation by Leveraging Spatio-temporal Consistency
  22. Optimal Parallelization of Boosting
  23. Towards Efficient Modelling of String Dynamics: A Comparison of State Space and Koopman based Deep Learning Methods
  24. SODAWideNet++: Combining Attention and Convolutions for Salient Object Detection
  25. 3D Pose-Based Temporal Action Segmentation for Figure Skating: A Fine-Grained and Jump Procedure-Aware Annotation Approach
  26. Optimizing Automated Picking Systems in Warehouse Robots Using Machine Learning
  27. Maelstrom Networks
  28. LLMs generate structurally realistic social networks but overestimate political homophily
  29. Turbulence Strength Cn2 Estimation from Video using Physics-based Deep Learning
  30. Sparse Signal Reconstruction for Overdispersed Low-photon Count Biomedical Imaging Using ℓp Total Variation
  31. Towards Infusing Auxiliary Knowledge for Distracted Driver Detection
  32. Hyperdimensional Vector Tsetlin Machines with Applications to Sequence Learning and Generation
  33. Blending Low and High-Level Semantics of Time Series for Better Masked Time Series Generation
  34. Data Quality Monitoring for the Hadron Calorimeters Using Transfer Learning for Anomaly Detection
  35. Subspace Representation Learning for Sparse Linear Arrays to Localize More Sources than Sensors: A Deep Learning Methodology
  36. Examination of Code generated by Large Language Models
  37. sEMG-Driven Physics-Informed Gated Recurrent Networks for Modeling Upper Limb Multi-Joint Movement Dynamics
  38. High-Dimensional Sparse Data Low-rank Representation via Accelerated Asynchronous Parallel Stochastic Gradient Descent
  39. CrisperWhisper: Accurate Timestamps on Verbatim Speech Transcriptions
  40. Enhancing Dialogue Generation in Werewolf Game Through Situation Analysis and Persuasion Strategies
  41. FastForensics: Efficient Two-Stream Design for Real-Time Image Manipulation Detection
  42. Transformers Meet ACT-R: Repeat-Aware and Sequential Listening Session Recommendation
  43. Seeking the Sufficiency and Necessity Causal Features in Multimodal Representation Learning
  44. An Adaptive Latent Factorization of Tensors Model for Embedding Dynamic Communication Network
  45. Predictability maximization and the origins of word order harmony
  46. Identifying Terrain Physical Parameters from Vision -- Towards Physical-Parameter-Aware Locomotion and Navigation
  47. Android Malware Detection Based on RGB Images and Multi-feature Fusion
  48. Downscaling Neural Network for Coastal Simulations
  49. OP-Align: Object-level and Part-level Alignment for Self-supervised Category-level Articulated Object Pose Estimation
  50. Spurfies: Sparse Surface Reconstruction using Local Geometry Priors
  51. Statistical and Geometrical properties of regularized Kernel Kullback-Leibler divergence
  52. SALSA: Speedy ASR-LLM Synchronous Aggregation
  53. SFR-GNN: Simple and Fast Robust GNNs against Structural Attacks
  54. TinyTNAS: GPU-Free, Time-Bound, Hardware-Aware Neural Architecture Search for TinyML Time Series Classification
  55. WavTokenizer: an Efficient Acoustic Discrete Codec Tokenizer for Audio Language Modeling
  56. Multitask learning for improved scour detection: A dynamic wave tank study
  57. Towards Modality-agnostic Label-efficient Segmentation with Entropy-Regularized Distribution Alignment
  58. An Interpretable and Crosslingual Method for Evaluating Second-Language Dialogues
  59. Adaptive Variational Continual Learning via Task-Heuristic Modelling
  60. Alignment is All You Need: A Training-free Augmentation Strategy for Pose-guided Video Generation
  61. A Simple and Generalist Approach for Panoptic Segmentation
  62. Locally Grouped and Scale-Guided Attention for Dense Pest Counting
  63. LLMs vs Established Text Augmentation Techniques for Classification: When do the Benefits Outweight the Costs?
  64. UAV-Based Human Body Detector Selection and Fusion for Geolocated Saliency Map Generation
  65. On-device AI: Quantization-aware Training of Transformers in Time-Series
  66. Learning from Negative Samples in Biomedical Generative Entity Linking
  67. A Deep-Learning-Based Label-free No-Reference Image Quality Assessment Metric: Application in Sodium MRI Denoising
  68. MICDrop: Masking Image and Depth Features via Complementary Dropout for Domain-Adaptive Semantic Segmentation
  69. Creating a Segmented Pointcloud of Grapevines by Combining Multiple Viewpoints Through Visual Odometry
  70. Improving 3D deep learning segmentation with biophysically motivated cell synthesis
  71. Multi-source Domain Adaptation for Panoramic Semantic Segmentation
  72. An Exploratory Deep Learning Approach for Predicting Subsequent Suicidal Acts in Chinese Psychological Support Hotlines
  73. HYGENE: A Diffusion-based Hypergraph Generation Method
  74. Weakly Supervised Object Detection for Automatic Tooth-marked Tongue Recognition
  75. What to Preserve and What to Transfer: Faithful, Identity-Preserving Diffusion-based Hairstyle Transfer
  76. Enhancing Sound Source Localization via False Negative Elimination
  77. Is text normalization relevant for classifying medieval charters?
  78. Mismatched: Evaluating the Limits of Image Matching Approaches and Benchmarks
  79. SurveySum: A Dataset for Summarizing Multiple Scientific Articles into a Survey Section
  80. Integrating Features for Recognizing Human Activities through Optimized Parameters in Graph Convolutional Networks and Transformer Architectures
  81. Instruction-tuned Large Language Models for Machine Translation in the Medical Domain
  82. Discriminative Spatial-Semantic VOS Solution: 1st Place Solution for 6th LSVOS
  83. Do Recommender Systems Promote Local Music? A Reproducibility Study Using Music Streaming Data
  84. A Comparative Study of Hyperparameter Tuning Methods
  85. Spectral Informed Neural Network: An Efficient and Low-Memory PINN
  86. DeepSPoC: A Deep Learning Based Sequential Propagation of Chaos
  87. IBO: Inpainting-Based Occlusion to Enhance Explainable Artificial Intelligence Evaluation in Histopathology
  88. Illuminating the Diversity-Fitness Trade-Off in Black-Box Optimization
  89. TempoKGAT: A Novel Graph Attention Network Approach for Temporal Graph Analysis
  90. MQM-Chat: Multidimensional Quality Metrics for Chat Translation
  91. Addressing common misinterpretations of KART and UAT in neural network literature
  92. Exploiting temporal information to detect conversational groups in videos and predict the next speaker
  93. TG-PhyNN: An Enhanced Physically-Aware Graph Neural Network framework for forecasting Spatio-Temporal Data
  94. NeRF-CA: Dynamic Reconstruction of X-ray Coronary Angiography with Extremely Sparse-views
  95. DetectBERT: Towards Full App-Level Representation Learning to Detect Android Malware
  96. Machine learning models for daily rainfall forecasting in Northern Tropical Africa using tropical wave predictors
  97. Toward Robust Early Detection of Alzheimer's Disease via an Integrated Multimodal Learning Approach
  98. Learned Image Transmission with Hierarchical Variational Autoencoder
  99. Do Graph Neural Networks Work for High Entropy Alloys?
  100. GL-TSVM: A robust and smooth twin support vector machine with guardian loss function
  101. Guided Reasoning: A Non-Technical Introduction
  102. P2P-Bridge: Diffusion Bridges for 3D Point Cloud Denoising
  103. BEVal: A Cross-dataset Evaluation Study of BEV Segmentation Models for Autonomous Driving
  104. Minimising changes to audit when updating decision trees
  105. Passenger hazard perception based on EEG signals for highly automated driving vehicles
  106. ResVG: Enhancing Relation and Semantic Understanding in Multiple Instances for Visual Grounding
  107. FA-YOLO: Research On Efficient Feature Selection YOLO Improved Algorithm Based On FMDS and AGMF Modules
  108. Safe Bayesian Optimization for Complex Control Systems via Additive Gaussian Processes
  109. Semantics-Oriented Multitask Learning for DeepFake Detection: A Joint Embedding Approach
  110. Enhanced Control for Diffusion Bridge in Image Restoration
  111. Flexible framework for generating synthetic electrocardiograms and photoplethysmograms
  112. Convolutional Neural Network Compression Based on Low-Rank Decomposition
  113. OpenFGL: A Comprehensive Benchmark for Federated Graph Learning
  114. Measuring the Accuracy of Automatic Speech Recognition Solutions
  115. ART: Actually Robust Training
  116. Enhancing Customer Churn Prediction in Telecommunications: An Adaptive Ensemble Learning Approach
  117. Web Service QoS Prediction via Extended Canonical Polyadic-based Tensor Network
  118. Fine-grained Classification of Port Wine Stains Using Optical Coherence Tomography Angiography
  119. Enhancing AI-Driven Psychological Consultation: Layered Prompts with Large Language Models
  120. SAU: A Dual-Branch Network to Enhance Long-Tailed Recognition via Generative Models
  121. Beyond Uncertainty: Evidential Deep Learning for Robust Video Temporal Grounding
  122. UDD: Dataset Distillation via Mining Underutilized Regions
  123. Low Saturation Confidence Distribution-based Test-Time Adaptation for Cross-Domain Remote Sensing Image Classification
  124. LoraMap: Harnessing the Power of LoRA Connections
  125. Evaluating Time-Series Training Dataset through Lens of Spectrum in Deep State Space Models
  126. GSDiff: Synthesizing Vector Floorplans via Geometry-enhanced Structural Graph Generation
  127. Coalitions of AI-based Methods Predict 15-Year Risks of Breast Cancer Metastasis Using Real-World Clinical Data with AUC up to 0.9
  128. EvLight++: Low-Light Video Enhancement with an Event Camera: A Large-Scale Real-World Dataset, Novel Method, and More
  129. Anno-incomplete Multi-dataset Detection
  130. PACiM: A Sparsity-Centric Hybrid Compute-in-Memory Architecture via Probabilistic Approximation
  131. Large-Scale Multi-omic Biosequence Transformers for Modeling Protein-Nucleic Acid Interactions
  132. Making the Most of your Model: Methods for Finetuning and Applying Pretrained Transformers
  133. Neural Spectral Decomposition for Dataset Distillation
  134. LMT-GP: Combined Latent Mean-Teacher and Gaussian Process for Semi-supervised Low-light Image Enhancement
  135. PSE-Net: Channel Pruning for Convolutional Neural Networks with Parallel-subnets Estimator
  136. Enhancing Conditional Image Generation with Explainable Latent Space Manipulation
  137. Anchor-Controlled Generative Adversarial Network for High-Fidelity Electromagnetic and Structurally Diverse Metasurface Design
  138. Policy Adaptation via Language Optimization: Decomposing Tasks for Few-Shot Imitation
  139. Revisiting 360 Depth Estimation with PanoGabor: A New Fusion Perspective
  140. SSDM: Scalable Speech Dysfluency Modeling
  141. Training-free Video Temporal Grounding using Large-scale Pre-trained Models
  142. Large-Scale Targeted Cause Discovery via Learning from Simulated Data
  143. Adversarial Network Optimization under Bandit Feedback: Maximizing Utility in Non-Stationary Multi-Hop Networks
  144. The Application of Machine Learning in Tidal Evolution Simulation of Star-Planet Systems
  145. From cart to truck: meaning shift through words in English in the last two centuries
  146. ReXamine-Global: A Framework for Uncovering Inconsistencies in Radiology Report Generation Metrics
  147. Revisit Micro-batch Clipping: Adaptive Data Pruning via Gradient Manipulation
  148. Short-Term Electricity-Load Forecasting by Deep Learning: A Comprehensive Survey
  149. Uni-3DAD: GAN-Inversion Aided Universal 3D Anomaly Detection on Model-free Products
  150. PolarBEVDet: Exploring Polar Representation for Multi-View 3D Object Detection in Bird's-Eye-View
  151. DLM-VMTL:A Double Layer Mapper for heterogeneous data video Multi-task prompt learning
  152. Variational Mode-Driven Graph Convolutional Network for Spatiotemporal Traffic Forecasting
  153. Estimating Dynamic Flow Features in Groups of Tracked Objects
  154. Help Me Help You: The Aggregate Value of Source and Target Data in Transfer Learning
  155. Real-Time Energy Pricing in New Zealand: An Evolving Stream Analysis
  156. Single-Loop Deterministic and Stochastic Interior-Point Algorithms for Nonlinearly Constrained Optimization
  157. A Minibatch-SGD-Based Learning Meta-Policy for Inventory Systems with Myopic Optimal Policy
  158. Benchmarking Japanese Speech Recognition on ASR-LLM Setups with Multi-Pass Augmented Generative Error Correction