mlsanityData to 14 Oct 2026

Papers

New on arXiv

Thu 19 Sep 2024

276 papers

  1. System 2 thinking in OpenAI's o1-preview model: Near-perfect performance on a mathematics examLLM reasoning → Test-time compute and efficient thinking
  2. KLDD: Kalman Filter based Linear Deformable Diffusion Model in Retinal Image SegmentationDiffusion models → Medical imaging and segmentation
  3. Strategic Collusion of LLM Agents: Market Division in Multi-Commodity CompetitionsLLM agents and tool use → Financial trading and forecasting agents
  4. Controlled LLM-based Reasoning for Clinical Trial RetrievalLLM reasoning → Clinical and biomedical applications
  5. From Linguistic Giants to Sensory Maestros: A Survey on Cross-Modal Reasoning with Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
  6. A Case Study of Web App Coding with OpenAI Reasoning ModelsLLM reasoning → Reasoning for agents, planning and code
  7. RepoGenReflex: Enhancing Repository-Level Code Completion with Verbal Reinforcement and Retrieval-Augmented GenerationRetrieval-augmented generation → RAG for code
  8. BGDB: Bernoulli-Gaussian Decision Block with Improved Denoising Diffusion Probabilistic ModelsDiffusion models → Diffusion foundations and sampling
  9. Disentangling Recognition and Decision Regrets in Image-Based Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
  10. What does guidance do? A fine-grained analysis in a simple settingDiffusion models → Diffusion foundations and sampling
  11. LLM Surgery: Efficient Knowledge Unlearning and Editing in Large Language ModelsLLM safety and security → Machine unlearning
  12. TACO-RL: Task Aware Prompt Compression Optimization with Reinforcement LearningEfficient LLM inference and serving → Prompt and context compression +1
  13. Data Poisoning and Leakage Analysis in Federated LearningLLM safety and security → Federated unlearning and poisoning
  14. VCAT: Vulnerability-aware and Curiosity-driven Adversarial Training for Enhancing Autonomous Vehicle RobustnessEnd-to-end autonomous driving → Adversarial scenarios and safety testing +1
  15. CraftRTL: High-quality Synthetic Data Generation for Verilog Code Models with Correct-by-Construction Non-Textual Representations and Targeted Code RepairSynthetic data and self-improvement for LLMs → Code and instruction data synthesis
  16. LVCD: Reference-based Lineart Video Colorization with Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  17. JourneyBench: A Challenging One-Stop Vision-Language Understanding Benchmark of Generated ImagesLLM reasoning → Multimodal reasoning
  18. Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented GenerationLLM reasoning → Knowledge- and tool-augmented reasoning +1
  19. LogicPro: Improving Complex Logical Reasoning via Program-Guided LearningLLM reasoning → Reasoning benchmarks and evaluation
  20. Training Language Models to Self-Correct via Reinforcement LearningLLM reasoning → Test-time compute and efficient thinking
  21. Evaluating Defences against Unsafe Feedback in RLHFLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks
  22. VLATest: Testing and Evaluating Vision-Language-Action Models for Robotic ManipulationVision-language-action models → Generalist VLA models and benchmarks
  23. Enhancing E-commerce Product Title Translation with Retrieval-Augmented Generation and Large Language ModelsRetrieval-augmented generation → Generation and context integration
  24. KnowFormer: Revisiting Transformers for Knowledge Graph ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning
  25. Extended Reality System for Robotic Learning from Human DemonstrationOffline RL and imitation learning from data → Robot manipulation imitation learning
  26. Vision Language Models Can Parse Floor Plan MapsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  27. SituationAdapt: Contextual UI Optimization in Mixed Reality with Situation Awareness via LLM ReasoningLLM reasoning → Spatial and embodied reasoning
  28. FoodPuzzle: Developing Large Language Model Agents as Flavor ScientistsLLM agents and tool use → Medical and scientific domain agents
  29. Language Models Learn to Mislead Humans via RLHFLLM alignment / RLHF / preference optimisation → Process reward models for reasoning
  30. Towards Interactive and Learnable Cooperative Driving Automation: a Large Language Model-Driven Decision-Making FrameworkEnd-to-end autonomous driving → Cooperative and V2X driving
  31. The Central Role of the Loss Function in Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
  32. Reinforcement Learning-based Model Predictive Control for Greenhouse Climate ControlDeep reinforcement learning methods → RL for energy, networks and operations
  33. Fine Tuning Large Language Models for Medicine: The Role and Importance of Direct Preference OptimizationLLM alignment / RLHF / preference optimisation → Medical LLM alignment
  34. Retrieval-Augmented Test Generation: How Far Are We?Retrieval-augmented generation → RAG pipeline design and evaluation
  35. METDrive: Multi-modal End-to-end Autonomous Driving with Temporal GuidanceEnd-to-end autonomous driving → End-to-end system architecture
  36. Michelangelo: Long Context Evaluations Beyond Haystacks via Latent Structure QueriesLLM reasoning → Reasoning benchmarks and evaluation
  37. Iteration of Thought: Leveraging Inner Dialogue for Autonomous Large Language Model ReasoningLLM reasoning → Reasoning benchmarks and evaluation
  38. Enhancing SLM via ChatGPT and Dataset AugmentationKnowledge distillation → Knowledge distillation for LLMs
  39. LARE: Latent Augmentation using Regional Embedding with Vision-Language ModelMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  40. Efficient Knowledge Distillation: Empowering Small Language Models with Teacher Model InsightsKnowledge distillation → Knowledge distillation for LLMs
  41. InfiMM-WebMath-40B: Advancing Multimodal Pre-Training for Enhanced Mathematical ReasoningLLM reasoning → Multimodal reasoning
  42. RAD-Bench: Evaluating Large Language Models Capabilities in Retrieval Augmented DialoguesRetrieval-augmented generation → Conversational and speech RAG
  43. Enhancing Knowledge Distillation of Large Language Models through Efficient Multi-Modal Distribution AlignmentKnowledge distillation → Knowledge distillation for LLMs
  44. Profiling Patient Transcript Using Large Language Model Reasoning Augmentation for Alzheimer's Disease DetectionLLM reasoning → Clinical and biomedical applications
  45. Improving Cone-Beam CT Image Quality with Knowledge Distillation-Enhanced Diffusion Model in Imbalanced Data SettingsDiffusion models → Medical imaging and segmentation
  46. MambaClinix: Hierarchical Gated Convolution and Mamba-Based U-Net for Enhanced 3D Medical Image SegmentationState-space sequence models (S4, Mamba) → Mamba for medical image analysis
  47. Denoising Reuse: Exploiting Inter-frame Motion Consistency for Efficient Video Latent GenerationDiffusion models → Video generation
  48. Enhancing Long-term RAG Chatbots with Psychological Models of Memory Importance and ForgettingRetrieval-augmented generation → Conversational and speech RAG
  49. TinyVLA: Towards Fast, Data-Efficient Vision-Language-Action Models for Robotic ManipulationVision-language-action models → Generalist VLA models and benchmarks
  50. Exploring and Enhancing the Transfer of Distribution in Knowledge Distillation for Autoregressive Language ModelsKnowledge distillation → Knowledge distillation for LLMs
  51. LLMR: Knowledge Distillation with a Large Language Model-Induced RewardKnowledge distillation → Knowledge distillation for LLMs
  52. HSIGene: A Foundation Model For Hyperspectral Image GenerationDiffusion models → Inverse problems and image restoration
  53. Familiarity-Aware Evidence Compression for Retrieval-Augmented GenerationRetrieval-augmented generation → Generation and context integration
  54. AudioEditor: A Training-Free Diffusion-Based Audio Editing FrameworkDiffusion models → Audio, speech and music
  55. Bayesian-Optimized One-Step Diffusion Model with Knowledge Distillation for Real-Time 3D Human Motion PredictionDiffusion models → Video generation
  56. Unlocking Reasoning Potential in Large Langauge Models by Scaling Code-form PlanningLLM reasoning → Reasoning benchmarks and evaluation
  57. Enhancing Logical Reasoning in Large Language Models through Graph-based Synthetic DataLLM reasoning → Reasoning benchmarks and evaluation +1
  58. FlexiTex: Enhancing Texture Generation via Visual GuidanceDiffusion models → 3D, point cloud and scene generation
  59. DeFT-Mamba: Universal Multichannel Sound Separation and Polyphonic Audio ClassificationState-space sequence models (S4, Mamba) → Speech and audio SSMs
  60. Textualized Agent-Style Reasoning for Complex Tasks by Multiple Round LLM GenerationLLM reasoning → Reasoning for agents, planning and code +1
  61. Preference Alignment Improves Language Model-Based TTSLLM alignment / RLHF / preference optimisation → Preference alignment for recommenders and RAG
  62. MambaRecon: MRI Reconstruction with Structured State Space ModelsState-space sequence models (S4, Mamba) → Mamba for medical image analysis
  63. Small Language Models are Equation ReasonersLLM reasoning → Mathematical reasoning
  64. Fundus image enhancement through direct diffusion bridgesDiffusion models → Inverse problems and image restoration
  65. Robust Audiovisual Speech Recognition Models with Mixture-of-ExpertsMixture-of-experts → Multimodal MoE models
  66. A quest through interconnected datasets: lessons from highly-cited ICASSP papers
  67. Optimizing food taste sensory evaluation through neural network-based taste electroencephalogram channel selection
  68. AutoPETIII: The Tracer Frontier. What Frontier?
  69. Investigating the Impact of Randomness on Reproducibility in Computer Vision: A Study on Applications in Civil Engineering and Medicine
  70. Beyond Uncertainty Quantification: Learning Uncertainty for Trust-Informed Neural Network Decisions - A Case Study in COVID-19 Classification
  71. Leveraging Retrieval Augment Approach for Multimodal Emotion Recognition Under Missing Modalities
  72. Pay Attention to What Matters
  73. Enhancing TinyBERT for Financial Sentiment Analysis Using GPT-Augmented FinBERT Distillation
  74. PropaInsight: Toward Deeper Understanding of Propaganda in Terms of Techniques, Appeals, and Intent
  75. What Would You Ask When You First Saw a2+b2=c2? Evaluating LLM on Curiosity-Driven Questioning
  76. Cross-Domain Content Generation with Domain-Specific Small Language Models
  77. Explainable AI for Autism Diagnosis: Identifying Critical Brain Regions Using fMRI Data
  78. Enhancing Performance and Scalability of Large-Scale Recommendation Systems with Jagged Flash Attention
  79. Fuzzy Rule based Intelligent Cardiovascular Disease Prediction using Complex Event Processing
  80. MiSS: Revisiting the Trade-off in LoRA with an Efficient Shard-Sharing Structure
  81. Tokenization for Molecular Foundation Models
  82. AutoPET III Challenge: Tumor Lesion Segmentation using ResEnc-Model Ensemble
  83. Trustworthy Intrusion Detection: Confidence Estimation Using Latent Space
  84. A sound description: Exploring prompt templates and class descriptions to enhance zero-shot audio classification
  85. Automatic Classification of White Blood Cell Images using Convolutional Neural Network
  86. Are Large Language Models Good Essay Graders?
  87. Multimodal Learning for Scalable Representation of High-Dimensional Medical Data
  88. Analyzing mixed construction and demolition waste in material recovery facilities: evolution, challenges, and applications of computer vision and deep learning
  89. UL-VIO: Ultra-lightweight Visual-Inertial Odometry with Noise Robust Test-time Adaptation
  90. ERIC: Estimating Rainfall with Commodity Doorbell Camera for Precision Residential Irrigation
  91. Predicting soccer matches with complex networks and machine learning
  92. Fast decision tree learning solves hard coding-theoretic problems
  93. Examining Test-Time Adaptation for Personalized Child Speech Recognition
  94. DenoMamba: A fused state-space model for low-dose CT denoising
  95. Guided Profile Generation Improves Personalization with LLMs
  96. Interpretable Action Recognition on Hard to Classify Actions
  97. Real-time estimation of overt attention from dynamic features of the face using deep-learning
  98. FedAT: Federated Adversarial Training for Distributed Insider Threat Detection
  99. AutoVerus: Automated Proof Generation for Rust Code
  100. Embedding Geometries of Contrastive Language-Image Pre-Training
All 276
  1. E-Sort: Empowering End-to-end Neural Network for Multi-channel Spike Sorting with Transfer Learning and Fast Post-processing
  2. Fear and Loathing on the Frontline: Decoding the Language of Othering by Russia-Ukraine War Bloggers
  3. Improved Image Classification with Manifold Neural Networks
  4. Comprehensive Overview of Artificial Intelligence Applications in Modern Industries
  5. Natural Language Processing Methods for the Study of Protein-Ligand Interactions
  6. Cross-Chirality Palmprint Verification: Left is Right for the Right Palmprint
  7. MGSO: Monocular Real-time Photometric SLAM with Efficient 3D Gaussian Splatting
  8. Towards Unbiased Evaluation of Time-series Anomaly Detector
  9. DiffSSD: A Diffusion-Based Dataset For Speech Forensics
  10. TACE: Tumor-Aware Counterfactual Explanations
  11. HeadCT-ONE: Enabling Granular and Controllable Automated Evaluation of Head CT Radiology Report Generation
  12. DNI: Dilutional Noise Initialization for Diffusion Video Editing
  13. iCost: A Novel Instance-Complexity-Based Cost-Sensitive Learning Framework
  14. AutoPET III Challenge: PET/CT Semantic Segmentation
  15. Across-Game Engagement Modelling via Few-Shot Learning
  16. Semi-overcomplete convolutional auto-encoder embedding as shape priors for deep vessel segmentation
  17. Introducing the Large Medical Model: State of the art healthcare cost and risk prediction with transformers trained on patient event sequences
  18. CMINNs: Compartment Model Informed Neural Networks -- Unlocking Drug Dynamics
  19. pyrtklib: An open-source package for tightly coupled deep learning and GNSS integration for positioning in urban canyons
  20. Improving generalisability of 3D binding affinity models in low data regimes
  21. Performance and Power: Systematic Evaluation of AI Workloads on Accelerators with CARAML
  22. DiffEditor: Enhancing Speech Editing with Semantic Enrichment and Acoustic Consistency
  23. Interpolating Video-LLMs: Toward Longer-sequence LMMs in a Training-free Manner
  24. CLAIR-A: Leveraging Large Language Models to Judge Audio Captions
  25. Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution
  26. MMSearch: Benchmarking the Potential of Large Models as Multi-modal Search Engines
  27. MURI: High-Quality Instruction Tuning Datasets for Low-Resource Languages via Reverse Instructions
  28. 3DTopia-XL: Scaling High-quality 3D Asset Generation via Primitive Diffusion
  29. GStex: Per-Primitive Texturing of 2D Gaussian Splatting for Decoupled Appearance and Geometry Modeling
  30. The Gaussian Discriminant Variational Autoencoder (GdVAE): A Self-Explainable Model with Counterfactual Explanations
  31. Geometric Interpretation of Layer Normalization and a Comparative Analysis with RMSNorm
  32. Unrolled denoising networks provably learn optimal Bayesian inference
  33. Revisiting Semi-supervised Adversarial Robustness via Noise-aware Online Robust Distillation
  34. Accelerating AI and Computer Vision for Satellite Pose Estimation on the Intel Myriad X Embedded SoC
  35. Swine Diet Design using Multi-objective Regionalized Bayesian Optimization
  36. Online Proximal ADMM for Graph Learning from Streaming Smooth Signals
  37. Exploring Representations and Interventions in Time Series Foundation Models
  38. Universal approximation theorem for neural networks with inputs from a topological vector space
  39. Scaling Smart: Accelerating Large Language Model Pre-training with Small Model Initialization
  40. Fast End-to-End Generation of Belief Space Paths for Minimum Sensing Navigation
  41. Recognition of Harmful Phytoplankton from Microscopic Images using Deep Learning
  42. 3DGS-LM: Faster Gaussian-Splatting Optimization with Levenberg-Marquardt
  43. Can VLMs Play Action Role-Playing Games? Take Black Myth Wukong as a Study Case
  44. Enhancing Unsupervised Sentence Embeddings via Knowledge-Driven Data Augmentation and Gaussian-Decayed Contrastive Learning
  45. EdgeGaussians -- 3D Edge Mapping via Gaussian Splatting
  46. Hypersphere Secure Sketch Revisited: Probabilistic Linear Regression Attack on IronMask in Multiple Usage
  47. Improving Prototypical Parts Abstraction for Case-Based Reasoning Explanations Designed for the Kidney Stone Type Recognition
  48. On the Hardness of Decentralized Multi-Agent Policy Evaluation under Byzantine Attacks
  49. Impact of ML Optimization Tactics on Greener Pre-Trained ML Models
  50. Physics aware machine learning for micromagnetic energy minimization: recent algorithmic developments
  51. Deep Learning-Based Detection of Referable Diabetic Retinopathy and Macular Edema Using Ultra-Widefield Fundus Imaging
  52. A New Perspective on ADHD Research: Knowledge Graph Construction with LLMs and Network Based Insights
  53. A Margin-Maximizing Fine-Grained Ensemble Method
  54. How the (Tensor-) Brain uses Embeddings and Embodiment to Encode Senses and Symbols
  55. Lexicon-Based Sentiment Analysis on Text Polarities with Evaluation of Classification Models
  56. Machine-learning based high-bandwidth magnetic sensing
  57. Automated Linear Disturbance Mapping via Semantic Segmentation of Sentinel-2 Imagery
  58. Hierarchical Gradient-Based Genetic Sampling for Accurate Prediction of Biological Oscillations
  59. Graph Convolutional Neural Networks as Surrogate Models for Climate Simulation
  60. Autonomous Visual Fish Pen Inspections for Estimating the State of Biofouling Buildup Using ROV -- Extended Abstract
  61. Don't be Fooled: The Misinformation Effect of Explanations in Human-AI Collaboration
  62. Robust estimation of the intrinsic dimension of data sets with quantum cognition machine learning
  63. Exploring the Lands Between: A Method for Finding Differences between AI-Decisions and Human Ratings through Generated Samples
  64. Assessing the Zero-Shot Capabilities of LLMs for Action Evaluation in RL
  65. Efficient Identification of Direct Causal Parents via Invariance and Minimum Error Testing
  66. Multi-Source and Multi-Sequence Myocardial Pathology Segmentation Using a Cascading Refinement CNN
  67. Optimal or Greedy Decision Trees? Revisiting their Objectives, Tuning, and Performance
  68. Investigation on domain adaptation of additive manufacturing monitoring systems to enhance digital twin reusability
  69. Evaluating Image Hallucination in Text-to-Image Generation with Question-Answering
  70. EventDance++: Language-guided Unsupervised Source-free Cross-modal Adaptation for Event-based Object Recognition
  71. TEAM PILOT -- Learned Feasible Extendable Set of Dynamic MRI Acquisition Trajectories
  72. GaRField++: Reinforced Gaussian Radiance Fields for Large-Scale 3D Scene Reconstruction
  73. Spectral-GS: Taming 3D Gaussian Splatting with Spectral Entropy
  74. The Robustness of Spiking Neural Networks in Communication and its Application towards Network Efficiency in Federated Learning
  75. COCO-OLAC: A Benchmark for Occluded Panoptic Segmentation and Image Understanding
  76. DrivingForward: Feed-forward 3D Gaussian Splatting for Driving Scene Reconstruction from Flexible Surround-view Input
  77. Bilingual Evaluation of Language Models on General Knowledge in University Entrance Exams with Minimal Contamination
  78. Enhancing Synthetic Training Data for Speech Commands: From ASR-Based Filtering to Domain Adaptation in SSL Latent Space
  79. HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User Modeling
  80. Edu-Values: Towards Evaluating the Chinese Education Values of Large Language Models
  81. MEXMA: Token-level objectives improve sentence representations
  82. When SparseMoE Meets Noisy Interactions: An Ensemble View on Denoising Recommendation
  83. PRAGA: Prototype-aware Graph Adaptive Aggregation for Spatial Multi-modal Omics Analysis
  84. Cloudy with a Chance of Anomalies: Dynamic Graph Neural Network for Early Detection of Cloud Services' User Anomalies
  85. PVContext: Hybrid Context Model for Point Cloud Compression
  86. LLM-Measure: Generating Valid, Consistent, and Reproducible Text-Based Measures for Social Science Research
  87. Multi-Scale Feature Prediction with Auxiliary-Info for Neural Image Compression
  88. Rapid aerodynamic prediction of swept wings via physics-embedded transfer learning
  89. SeqRisk: Transformer-augmented latent variable model for robust survival prediction with longitudinal data
  90. Machine-learning-based multipoint optimization of fluidic injection parameters for improving nozzle performance
  91. Generation and Editing of Mandrill Faces: Application to Sex Editing and Assessment
  92. PromSec: Prompt Optimization for Secure Generation of Functional Source Code with Large Language Models (LLMs)
  93. Exploring Large Language Models for Product Attribute Value Identification
  94. Coherence influx is indispensable for quantum reservoir computing
  95. A dynamic vision sensor object recognition model based on trainable event-driven convolution and spiking attention mechanism
  96. Connecting Ideas in 'Lower-Resource' Scenarios: NLP for National Varieties, Creoles and Other Low-resource Scenarios
  97. Exploiting Minority Pseudo-Labels for Semi-Supervised Fine-grained Road Scene Understanding
  98. PMR-Net: Parallel Multi-Resolution Encoder-Decoder Network Framework for Medical Image Segmentation
  99. (Un)certainty of (Un)fairness: Preference-Based Selection of Certainly Fair Decision-Makers
  100. Text2Traj2Text: Learning-by-Synthesis Framework for Contextual Captioning of Human Movement Trajectories
  101. Enhancing Construction Site Safety: A Lightweight Convolutional Network for Effective Helmet Detection
  102. Manifold Sampling for Differentiable Uncertainty in Radiance Fields
  103. PoTATO: A Dataset for Analyzing Polarimetric Traces of Afloat Trash Objects
  104. Exploring the topics, sentiments and hate speech in the Spanish information environment
  105. Efficient Performance Tracking: Leveraging Large Language Models for Automated Construction of Scientific Leaderboards
  106. Deep generative models as an adversarial attack strategy for tabular machine learning
  107. Image inpainting for corrupted images by using the semi-super resolution GAN
  108. EFA-YOLO: An Efficient Feature Attention Model for Fire and Flame Detection
  109. Exploring bat song syllable representations in self-supervised audio encoders
  110. Counterfactual Explanations for Clustering Models
  111. Green Federated Learning: A new era of Green Aware AI
  112. CamelEval: Advancing Culturally Aligned Arabic Language Models and Benchmarks
  113. Theoretical Analysis of Heteroscedastic Gaussian Processes with Posterior Distributions
  114. Accurate Automatic 3D Annotation of Traffic Lights and Signs for Autonomous Driving
  115. Enhancing Perception of Key Changes in Remote Sensing Image Change Captioning
  116. CF-GO-Net: A Universal Distribution Learner via Characteristic Function Networks with Graph Optimizers
  117. Enhancing Agricultural Environment Perception via Active Vision and Zero-Shot Learning
  118. Hybrid Ensemble Deep Graph Temporal Clustering for Spatiotemporal Data
  119. Is Tokenization Needed for Masked Particle Modelling?
  120. Test-Time Augmentation Meets Variational Bayes
  121. LLMs Can Check Their Own Results to Mitigate Hallucinations in Traffic Understanding Tasks
  122. StoryMaker: Towards Holistic Consistent Characters in Text-to-image Generation
  123. Deep Transfer Hashing for Adaptive Learning on Federated Streaming Data
  124. Model calibration using a parallel differential evolution algorithm in computational neuroscience: simulation of stretch induced nerve deficit
  125. PersonaFlow: Designing LLM-Simulated Expert Perspectives for Enhanced Research Ideation
  126. Deep Probability Segmentation: Are segmentation models probability estimators?
  127. Prompting Segment Anything Model with Domain-Adaptive Prototype for Generalizable Medical Image Segmentation
  128. Hier-SLAM: Scaling-up Semantics in SLAM with a Hierarchically Categorical Gaussian Splatting
  129. Scaling FP8 training to trillion-token LLMs
  130. A Multi-agent Market Model Can Explain the Impact of AI Traders in Financial Markets -- A New Microfoundations of GARCH model
  131. Towards Low-latency Event-based Visual Recognition with Hybrid Step-wise Distillation Spiking Neural Networks
  132. End-to-end Open-vocabulary Video Visual Relationship Detection using Multi-modal Prompting
  133. ConvexECG: Lightweight and Explainable Neural Networks for Personalized, Continuous Cardiac Monitoring
  134. CritiPrefill: A Segment-wise Criticality-based Approach for Prefilling Acceleration in LLMs
  135. Learning Multi-Manifold Embedding for Out-Of-Distribution Detection
  136. ViolinDiff: Enhancing Expressive Violin Synthesis with Pitch Bend Conditioning
  137. AutoMode-ASR: Learning to Select ASR Systems for Better Quality and Cost
  138. Reference Dataset and Benchmark for Reconstructing Laser Parameters from On-axis Video in Powder Bed Fusion of Bulk Stainless Steel
  139. TEAM: Temporal Adversarial Examples Attack Model against Network Intrusion Detection System Applied to RNN
  140. Arena 4.0: A Comprehensive ROS2 Development and Benchmarking Platform for Human-centric Navigation Using Generative-Model-based Environment Generation
  141. SurgPLAN++: Universal Surgical Phase Localization Network for Online and Offline Inference
  142. Unsupervised Reward-Driven Image Segmentation in Automated Scanning Transmission Electron Microscopy Experiments
  143. FoME: A Foundation Model for EEG using Adaptive Temporal-Lateral Attention Scaling
  144. Domain Generalization for Endoscopic Image Segmentation by Disentangling Style-Content Information and SuperPixel Consistency
  145. Infrared Small Target Detection in Satellite Videos: A New Dataset and A Novel Recurrent Feature Refinement Framework
  146. Prompts Are Programs Too! Understanding How Developers Build Software Containing Prompts
  147. Neural Networks Generalize on Low Complexity Data
  148. A Lightweight and Real-Time Binaural Speech Enhancement Model with Spatial Cues Preservation
  149. Incremental and Data-Efficient Concept Formation to Support Masked Word Prediction
  150. Linguistic Minimal Pairs Elicit Linguistic Similarity in Large Language Models
  151. Is it Still Fair? A Comparative Evaluation of Fairness Algorithms through the Lens of Covariate Drift
  152. Sustainable Visions: Unsupervised Machine Learning Insights on Global Development Goals
  153. Zero-to-Strong Generalization: Eliciting Strong Capabilities of Large Language Models Iteratively without Gold Labels
  154. Frequency-Guided Spatial Adaptation for Camouflaged Object Detection
  155. Domain-stratified Training for Cross-organ and Cross-scanner Adenocarcinoma Segmentation in the COSAS 2024 Challenge
  156. Multichannel-to-Multichannel Target Sound Extraction Using Direction and Timestamp Clues
  157. How to predict on-road air pollution based on street view images and machine learning: a quantitative analysis of the optimal strategy
  158. LMT-Net: Lane Model Transformer Network for Automated HD Mapping from Sparse Vehicle Observations
  159. Mutual Information-based Representations Disentanglement for Unaligned Multimodal Language Sequences
  160. On the Effectiveness of LLMs for Manual Test Verifications
  161. Shape-informed surrogate models based on signed distance function domain encoding
  162. I2I-Galip: Unsupervised Medical Image Translation Using Generative Adversarial CLIP
  163. Learning to Coordinate without Communication under Incomplete Information
  164. ARTAI: An Evaluation Platform to Assess Societal Risk of Recommender Algorithms
  165. The Fluorescent Veil: A Stealthy and Effective Physical Adversarial Patch Against Traffic Sign Recognition
  166. Selecting a classification performance measure: matching the measure to the problem
  167. A Novel Perspective for Multi-modal Multi-label Skin Lesion Classification
  168. Disentangling Speakers in Multi-Talker Speech Recognition with Speaker-Aware CTC
  169. On the Regret of Coded Caching with Adversarial Requests
  170. Channel-Aware Domain-Adaptive Generative Adversarial Network for Robust Speech Recognition
  171. Look Through Masks: Towards Masked Face Recognition with De-Occlusion Distillation
  172. Privacy-Preserving Student Learning with Differentially Private Data-Free Distillation
  173. Bundle Fragments into a Whole: Mining More Complete Clusters via Submodular Selection of Interesting webpages for Web Topic Detection
  174. Enhancing 3D Robotic Vision Robustness by Minimizing Adversarial Mutual Information through a Curriculum Training Approach
  175. Prediction of Brent crude oil price based on LSTM model under the background of low-carbon transition
  176. Communication-Efficient Federated Low-Rank Update Algorithm and its Connection to Implicit Regularization