mlsanityData to 14 Oct 2026

Papers

New on arXiv

Mon 15 Apr 2024

300 papers

  1. LLM Evaluators Recognize and Favor Their Own GenerationsLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  2. EPIC: Effective Prompting for Imbalanced-Class Data Synthesis in Tabular Data Classification via Large Language ModelsSynthetic data and self-improvement for LLMs → Privacy-preserving tabular data synthesis
  3. EyeFormer: Predicting Personalized Scanpaths with Transformer-Guided Reinforcement LearningDeep reinforcement learning methods → RL training of language and agent models
  4. Reinforcement Learning from Multi-role Debates as Feedback for Bias Mitigation in LLMsLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  5. Salient Object-Aware Background Generation using Text-Guided Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
  6. TabSQLify: Enhancing Reasoning Capabilities of LLMs Through Table DecompositionLLM reasoning → Knowledge- and tool-augmented reasoning
  7. Cross-Modal Self-Training: Aligning Images and Pointclouds to Learn Classification without LabelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
  8. The Feasibility Theory of Constrained Reinforcement Learning: A Tutorial StudyDeep reinforcement learning methods → Safe and constrained RL
  9. Taming Latent Diffusion Model for Neural Radiance Field InpaintingDiffusion models → 3D, point cloud and scene generation
  10. MMInA: Benchmarking Multihop Multimodal Internet AgentsLLM agents and tool use → Web, search, and research agents
  11. INMS: Memory Sharing for Large Language Model based AgentsLLM agents and tool use → Agent memory systems
  12. MaxFusion: Plug&Play Multi-Modal Generation in Text-to-Image Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  13. Diffscaler: Enhancing the Generative Prowess of Diffusion TransformersDiffusion models → Diffusion foundations and sampling
  14. Ctrl-Adapter: An Efficient and Versatile Framework for Adapting Diverse Controls to Any Diffusion ModelDiffusion models → Video generation
  15. Tango 2: Aligning Diffusion-based Text-to-Audio Generations through Direct Preference OptimizationDiffusion models → Audio, speech and music +1
  16. A Note on Loss Functions and Error Compounding in Model-based Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
  17. HOI-Ref: Hand-Object Interaction Referral in Egocentric VisionMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  18. ChatShop: Interactive Information Seeking with Language AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
  19. ReffAKD: Resource-efficient Autoencoder-based Knowledge DistillationKnowledge distillation → General knowledge distillation methods
  20. Conditional Prototype Rectification Prompt LearningMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  21. Software Engineering Methods For AI-Driven Deductive Legal ReasoningLLM reasoning → Reasoning for agents, planning and code
  22. Empowering Embodied Visual Tracking with Visual Foundation Models and Offline RLOffline RL and imitation learning from data → Language-conditioned policies and VLAs
  23. Digging into contrastive learning for robust depth estimation with diffusion modelsDiffusion models → 3D, point cloud and scene generation
  24. Impact of Preference Noise on the Alignment Performance of Generative Language ModelsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  25. TextCoT: Zoom In for Enhanced Multimodal Text-Rich Image UnderstandingLLM reasoning → Multimodal reasoning +1
  26. Hierarchical Decision Making Based on Structural Information PrinciplesDeep reinforcement learning methods → Deep RL algorithms and representations
  27. Equipping Diffusion Models with Differentiable Spatial Entropy for Low-Light Image EnhancementDiffusion models → Inverse problems and image restoration
  28. Photo-Realistic Image Restoration in the Wild with Controlled Vision-Language ModelsMultimodal LLMs / vision-language models → Image editing and quality assessment +1
  29. Convergence Analysis of Probability Flow ODE for Score-based Generative ModelsDiffusion models → Diffusion foundations and sampling
  30. Privacy-Preserving Federated Unlearning with Certified Client RemovalLLM safety and security → Federated unlearning and poisoning
  31. Unveiling Imitation Learning: Exploring the Impact of Data Falsity to Large Language ModelOffline RL and imitation learning from data → Language-conditioned policies and VLAs
  32. Enhancing Robot Explanation Capabilities through Vision-Language Models: a Preliminary Study by Interpreting Visual Inputs for Improved Human-Robot InteractionMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  33. HSIDMamba: Exploring Bidirectional State-Space Models for Hyperspectral DenoisingState-space sequence models (S4, Mamba) → Hyperspectral image analysis with Mamba
  34. Sampling for Model Predictive Trajectory Planning in Autonomous Driving using Normalizing FlowsEnd-to-end autonomous driving → Imitation-learning end-to-end planners
  35. Learn Your Reference Model for Real Good AlignmentLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  36. Do LLMs Understand Visual Anomalies? Uncovering LLM's Capabilities in Zero-shot Anomaly DetectionMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
  37. AesExpert: Towards Multi-modality Foundation Model for Image Aesthetics PerceptionMultimodal LLMs / vision-language models → Image editing and quality assessment
  38. MTKD: Multi-Teacher Knowledge Distillation for Image Super-ResolutionKnowledge distillation → General knowledge distillation methods
  39. AI-KD: Towards Alignment Invariant Face Image Quality Assessment Using Knowledge DistillationKnowledge distillation → General knowledge distillation methods
  40. TMPQ-DM: Joint Timestep Reduction and Quantization Precision Selection for Efficient Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  41. LoongServe: Efficiently Serving Long-Context Large Language Models with Elastic Sequence ParallelismEfficient LLM inference and serving → Serving systems and request scheduling
  42. Inferring Behavior-Specific Context Improves Zero-Shot Generalization in Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
  43. Magic Clothing: Controllable Garment-Driven Image SynthesisDiffusion models → 3D, point cloud and scene generation
  44. FusionMamba: Dynamic Feature Enhancement for Multimodal Image Fusion with MambaState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
  45. Towards Collaborative Autonomous Driving: Simulation Platform and End-to-End SystemEnd-to-end autonomous driving → Cooperative and V2X driving
  46. MMCode: Benchmarking Multimodal Large Language Models for Code Generation with Visually Rich Programming ProblemsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  47. FreqMamba: Viewing Mamba from a Frequency Perspective for Image DerainingState-space sequence models (S4, Mamba) → Mamba for image restoration
  48. Watermark-embedded Adversarial Examples for Copyright Protection against Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
  49. RankCLIP: Ranking-Consistent Language-Image PretrainingMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  50. Decentralized Multi-Party Multi-Network AI for Global Deployment of 6G Wireless Systems
  51. Hybrid Intelligence for Digital Humanities
  52. Occupation Life Cycle
  53. EVAN: Evolutional Video Streaming Adaptation via Neural Representation
  54. Computer aided diagnosis system for Alzheimers disease using principal component analysis and machine learning based approaches
  55. ODFormer: Semantic Fundus Image Segmentation Using Transformer for Optic Nerve Head Detection
  56. Direct Training Needs Regularisation: Anytime Optimal Inference Spiking Neural Network
  57. Enhancing Predictive Accuracy in Pharmaceutical Sales Through An Ensemble Kernel Gaussian Process Regression Approach
  58. SQUAT: Stateful Quantization-Aware Training in Recurrent Spiking Neural Networks
  59. FEDSTR: Money-In AI-Out | A Decentralized Marketplace for Federated Learning and LLM Training on the NOSTR Protocol
  60. Polynomial Selection in Spectral Graph Neural Networks: An Error-Sum of Function Slices Approach
  61. SQUWA: Signal Quality Aware DNN Architecture for Enhanced Accuracy in Atrial Fibrillation Detection from Noisy PPG Signals
  62. TransfoRhythm: A Transformer Architecture Conductive to Blood Pressure Estimation via Solo PPG Signal Capturing
  63. Towards a high-performance AI compiler with upstream MLIR
  64. Measuring Diversity of Game Scenarios
  65. Towards Compositionally Generalizable Semantic Parsing in Large Language Models: A Survey
  66. Modeling Emotions and Ethics with Large Language Models
  67. Lowering PyTorch's Memory Consumption for Selective Differentiation
  68. Multi-Objective Hardware Aware Neural Architecture Search using Hardware Cost Diversity
  69. Sup3r: A Semi-Supervised Algorithm for increasing Sparsity, Stability, and Separability in Hierarchy Of Time-Surfaces architectures
  70. Items or Relations -- what do Artificial Neural Networks learn?
  71. Efflex: Efficient and Flexible Pipeline for Spatio-Temporal Trajectory Graph Modeling and Representation Learning
  72. Black-box Adversarial Transferability: An Empirical Study in Cybersecurity Perspective
  73. Deferred NAM: Low-latency Top-K Context Injection via Deferred Context Encoding for Non-Streaming ASR
  74. CryoMAE: Few-Shot Cryo-EM Particle Picking with Masked Autoencoders
  75. Multi-objective evolutionary GAN for tabular data synthesis
  76. PD-L1 Classification of Weakly-Labeled Whole Slide Images of Breast Cancer
  77. On the Effects of Fine-tuning Language Models for Text-Based Reinforcement Learning
  78. Forensic Iris Image-Based Post-Mortem Interval Estimation
  79. High-Resolution Detection of Earth Structural Heterogeneities from Seismic Amplitudes using Convolutional Neural Networks with Attention layers
  80. Self-Supervised Learning Featuring Small-Scale Image Dataset for Treatable Retinal Diseases Classification
  81. Optimal Kernel Tuning Parameter Prediction using Deep Sequence Models
  82. SegFormer3D: an Efficient Transformer for 3D Medical Image Segmentation
  83. The Fault in our Stars: Quality Assessment of Code Generation Benchmarks
  84. Node Similarities under Random Projections: Limits and Pathological Cases
  85. Eyes on the Streets: Leveraging Street-Level Imaging to Model Urban Crime Dynamics
  86. Shaping Realities: Enhancing 3D Generative AI with Fabrication Constraints
  87. ANCHOR: LLM-driven Subject Conditioning for Text-to-Image Synthesis
  88. Language Model Cascades: Token-level uncertainty and beyond
  89. Using Long Short-term Memory (LSTM) to merge precipitation data over mountainous area in Sierra Nevada
  90. WB LUTs: Contrastive Learning for White Balancing Lookup Tables
  91. NOISe: Nuclei-Aware Osteoclast Instance Segmentation for Mouse-to-Human Domain Transfer
  92. Epistemic Uncertainty Quantification For Pre-trained Neural Network
  93. Online Estimation via Offline Estimation: An Information-Theoretic Framework
  94. Multiple-Input Fourier Neural Operator (MIFNO) for source-dependent 3D elastodynamics
  95. PRODIS -- a speech database and a phoneme-based language model for the study of predictability effects in Polish
  96. Communication-Efficient Hybrid Federated Learning for E-health with Horizontal and Vertical Data Partitioning
  97. GeoAI Reproducibility and Replicability: a computational and spatial perspective
  98. Chinchilla Scaling: A replication attempt
  99. Feature selection in linear SVMs via a hard cardinality constraint: a scalable SDP decomposition approach
  100. LegalPro-BERT: Classification of Legal Provisions by fine-tuning BERT Large Language Model
All 300
  1. Vision Augmentation Prediction Autoencoder with Attention Design (VAPAAD)
  2. Towards DNA-Encoded Library Generation with GFlowNets
  3. Empowering Federated Learning with Implicit Gossiping: Mitigating Connection Unreliability Amidst Unknown and Arbitrary Dynamics
  4. Low-Light Image Enhancement Framework for Improved Object Detection in Fisheye Lens Datasets
  5. Explainable Light-Weight Deep Learning Pipeline for Improved Drought Stress Identification
  6. AIGeN: An Adversarial Approach for Instruction Generation in VLN
  7. Variational quantum simulation: a case study for understanding warm starts
  8. A Realistic Protocol for Evaluation of Weakly Supervised Object Localization
  9. Detecting AI Generated Text Based on NLP and Machine Learning Approaches
  10. Emergent Language Symbolic Autoencoder (ELSA) with Weak Supervision to Model Hierarchical Brain Networks
  11. Hyperspectral Reconstruction of Skin Through Fusion of Scattering Transform Features
  12. Federated Learning on Riemannian Manifolds with Differential Privacy
  13. Distributed Federated Learning-Based Deep Learning Model for Privacy MRI Brain Tumor Detection
  14. ClimODE: Climate and Weather Forecasting with Physics-informed Neural ODEs
  15. No More Ambiguity in 360deg Room Layout via Bi-Layout Estimation
  16. EgoPet: Egomotion and Interaction Data from an Animal's Perspective
  17. HQ-Edit: A High-Quality Dataset for Instruction-based Image Editing
  18. in2IN: Leveraging individual Information to Generate Human INteractions
  19. OneChart: Purify the Chart Structural Extraction via One Auxiliary Token
  20. Context Does Matter: Implications for Crowdsourced Evaluation Labels in Task-Oriented Dialogue Systems
  21. One-Click Upgrade from 2D to 3D: Sandwiched RGB-D Video Compression for Stereoscopic Teleconferencing
  22. Constructing Benchmarks and Interventions for Combating Hallucinations in LLMs
  23. Design and Analysis of Efficient Attention in Transformers for Social Group Activity Recognition
  24. Invariant Subspace Decomposition
  25. Ti-Patch: Tiled Physical Adversarial Patch for no-reference video quality metrics
  26. How to build the best medical image segmentation algorithm using foundation models: a comprehensive empirical study with Segment Anything Model
  27. Classification Tree-based Active Learning: A Wrapper Approach
  28. Unifying Global and Local Scene Entities Modelling for Precise Action Spotting
  29. Knowledge-enhanced Visual-Language Pretraining for Computational Pathology
  30. Evolving Interpretable Visual Classifiers with Large Language Models
  31. eMotion-GAN: A Motion-based GAN for Photorealistic and Facial Expression Preserving Frontal View Synthesis
  32. A Survey on Deep Learning for Theorem Proving
  33. Compression Represents Intelligence Linearly
  34. Foundational Challenges in Assuring Alignment and Safety of Large Language Models
  35. Zero-shot detection of buildings in mobile LiDAR using Language Vision Model
  36. Autonomous Path Planning for Intercostal Robotic Ultrasound Imaging Using Reinforcement Learning
  37. Zero-shot Building Age Classification from Facade Image Using GPT-4
  38. EdgeRelight360: Text-Conditioned 360-Degree HDR Image Generation for Real-Time On-Device Video Portrait Relighting
  39. Evaluating the Explainability of Attributes and Prototypes for a Medical Classification Model
  40. Comprehensive Library of Variational LSE Solvers
  41. Progressive Knowledge Graph Completion
  42. Accelerating Ensemble Error Bar Prediction with Single Models Fits
  43. Glitch Tokens in Large Language Models: Categorization Taxonomy and Effective Detection
  44. Is Table Retrieval a Solved Problem? Exploring Join-Aware Multi-Table Retrieval
  45. Map-Relative Pose Regression for Visual Re-Localization
  46. Synergising Human-like Responses and Machine Intelligence for Planning in Disaster Response
  47. Explainable Online Unsupervised Anomaly Detection for Cyber-Physical Systems via Causal Discovery from Time Series
  48. Table tennis ball spin estimation with an event camera
  49. Unsupervised Federated Optimization at the Edge: D2D-Enabled Learning without Labels
  50. HyperMono: A Monotonicity-aware Approach to Hyper-Relational Knowledge Representation
  51. Statistical learning for constrained functional parameters in infinite-dimensional models
  52. A Diffusion-based Data Generator for Training Object Recognition Models in Ultra-Range Distance
  53. STMixer: A One-Stage Sparse Action Detector
  54. Anatomy of Industrial Scale Multilingual ASR
  55. Video2Game: Real-time, Interactive, Realistic and Browser-Compatible Environment from a Single Video
  56. No-Regret Algorithms in non-Truthful Auctions with Budget and ROI Constraints
  57. Negation Triplet Extraction with Syntactic Dependency and Semantic Consistency
  58. Interaction as Explanation: A User Interaction-based Method for Explaining Image Classification Models
  59. A Recipe for CAC: Mosaic-based Generalized Loss for Improved Class-Agnostic Counting
  60. A provable control of sensitivity of neural networks through a direct parameterization of the overall bi-Lipschitzness
  61. 3D Face Tracking from 2D Video through Iterative Dense UV to Image Flow
  62. FedP3: Federated Personalized and Privacy-friendly Network Pruning under Model Heterogeneity
  63. Solving the Tree Containment Problem Using Graph Neural Networks
  64. Neighbour-level Message Interaction Encoding for Improved Representation Learning on Graphs
  65. A Universal Protocol to Benchmark Camera Calibration for Sports
  66. The Performance of Sequential Deep Learning Models in Detecting Phishing Websites Using Contextual Features of URLs
  67. Taper-based scattering formulation of the Helmholtz equation to improve the training process of Physics-Informed Neural Networks
  68. NTIRE 2024 Challenge on Image Super-Resolution (x4): Methods and Results
  69. Shape Arithmetic Expressions: Advancing Scientific Discovery Beyond Closed-Form Equations
  70. Benchmarking Llama2, Mistral, Gemma and GPT for Factuality, Toxicity, Bias and Propensity for Hallucinations
  71. A replica analysis of under-bagging
  72. The Devil is in the Few Shots: Iterative Visual Knowledge Completion for Few-shot Learning
  73. RandAlign: A Parameter-Free Method for Regularizing Graph Convolutional Networks
  74. Contrastive Pretraining for Visual Concept Explanations of Socioeconomic Outcomes
  75. KG-CTG: Citation Generation through Knowledge Graph-guided Large Language Models
  76. Deep Learning-Based Segmentation of Tumors in PET/CT Volumes: Benchmark of Different Architectures and Training Strategies
  77. Resilience of Large Language Models for Noisy Instructions
  78. Personalized Collaborative Fine-Tuning for On-Device Large Language Models
  79. Can We Break Free from Strong Data Augmentations in Self-Supervised Learning?
  80. LetsGo: Large-Scale Garage Modeling and Rendering via LiDAR-Assisted Gaussian Primitives
  81. AMPCliff: quantitative definition and benchmarking of activity cliffs in antimicrobial peptides
  82. Quantization of Large Language Models with an Overdetermined Basis
  83. FSRT: Facial Scene Representation Transformer for Face Reenactment from Factorized Appearance, Head-pose, and Facial Expression Features
  84. Amplitude-Phase Fusion for Enhanced Electrocardiogram Morphological Analysis
  85. VFLGAN: Vertical Federated Learning-based Generative Adversarial Network for Vertically Partitioned Data Publication
  86. Higher Replay Ratio Empowers Sample-Efficient Multi-Agent Reinforcement Learning
  87. Scenario-Adaptive Fine-Grained Personalization Network: Tailoring User Behavior Representation to the Scenario Context
  88. Kernel-based learning with guarantees for multi-agent applications
  89. Adaptive Patching for High-resolution Image Segmentation with Transformers
  90. AI Competitions and Benchmarks: Dataset Development
  91. Are Large Language Models Reliable Argument Quality Annotators?
  92. LoRAP: Transformer Sub-Layers Deserve Differentiated Structured Compression for Large Language Models
  93. XoFTR: Cross-modal Feature Matching Transformer
  94. Harnessing GPT-4V(ision) for Insurance: A Preliminary Exploration
  95. Plus Strategies are Exponentially Slower for Planted Optima of Random Height
  96. AntBatchInfer: Elastic Batch Inference in the Kubernetes Cluster
  97. Post-Training Network Compression for 3D Medical Image Segmentation: Reducing Computational Efforts via Tucker Decomposition
  98. Multi-News+: Cost-efficient Dataset Cleansing via LLM-based Data Annotation
  99. AntDT: A Self-Adaptive Distributed Training Framework for Leader and Straggler Nodes
  100. Deformable MRI Sequence Registration for AI-based Prostate Cancer Diagnosis
  101. Closing the Gap in the Trade-off between Fair Representations and Accuracy
  102. Monitoring Second-Order Hyperproperties
  103. Real-world Instance-specific Image Goal Navigation: Bridging Domain Gaps via Contrastive Learning
  104. CREST: Cross-modal Resonance through Evidential Deep Learning for Enhanced Zero-Shot Learning
  105. All-in-one simulation-based inference
  106. In-Context Translation: Towards Unifying Image Recognition, Processing, and Generation
  107. Bridging Vision and Language Spaces with Assignment Prediction
  108. Action Model Learning with Guarantees
  109. Privacy-Preserving Intrusion Detection using Convolutional Neural Networks
  110. DIDLM: A SLAM Dataset for Difficult Scenarios Featuring Infrared, Depth Cameras, LIDAR, 4D Radar, and Others under Adverse Weather, Low Light Conditions, and Rough Roads
  111. UNIAA: A Unified Multi-modal Image Aesthetic Assessment Baseline and Benchmark
  112. Safeguarding adaptive methods: global convergence of Barzilai-Borwein and other stepsize choices
  113. A Review and Efficient Implementation of Scene Graph Generation Metrics
  114. If there's a Trigger Warning, then where's the Trigger? Investigating Trigger Warnings at the Passage Level
  115. Efficient and accurate neural field reconstruction using resistive memory
  116. LoRA Dropout as a Sparsity Regularizer for Overfitting Control
  117. A Self-feedback Knowledge Elicitation Approach for Chemical Reaction Predictions
  118. Machine learning-based optimization workflow of the homogeneity of spunbond nonwovens with human validation
  119. Reactive Model Correction: Mitigating Harm to Task-Relevant Features via Conditional Bias Suppression
  120. Building Semantic Communication System via Molecules: An End-to-End Training Approach
  121. Improving Recall of Large Language Models: A Model Collaboration Approach for Relational Triple Extraction
  122. 3D Gaussian Splatting as Markov Chain Monte Carlo
  123. German Tourism Knowledge Graph
  124. Mitigating the Curse of Dimensionality for Certified Robustness via Dual Randomized Smoothing
  125. Pseudo-label Learning with Calibrated Confidence Using an Energy-based Model
  126. Modelling Language using Large Language Models
  127. Transformers, Contextualism, and Polysemy
  128. Large language models and linguistic intentionality
  129. Predicting and Analyzing Pedestrian Crossing Behavior at Unsignalized Crossings
  130. The revenge of BiSeNet: Efficient Multi-Task Image Segmentation
  131. Reliability Estimation of News Media Sources: Birds of a Feather Flock Together
  132. σ-GPTs: A New Approach to Autoregressive Models
  133. Joint Contrastive Learning with Feature Alignment for Cross-Corpus EEG-based Emotion Recognition
  134. Characterization and Mitigation of Insufficiencies in Automated Driving Systems
  135. nnU-Net Revisited: A Call for Rigorous Validation in 3D Medical Image Segmentation
  136. Explainable Generative AI (GenXAI): A Survey, Conceptualization, and Research Agenda
  137. GNNavigator: Towards Adaptive Training of Graph Neural Networks via Automatic Guideline Exploration
  138. Application of the representative measure approach to assess the reliability of decision trees in dealing with unseen vehicle collision data
  139. Text-Driven Diverse Facial Texture Generation via Progressive Latent-Space Refinement
  140. Machine Learning Techniques for Python Source Code Vulnerability Detection
  141. Noiseless Privacy-Preserving Decentralized Learning
  142. WiTUnet: A U-Shaped Architecture Integrating CNN and Transformer for Improved Feature Alignment and Local Information Fusion
  143. Oblique-MERF: Revisiting and Improving MERF for Oblique Photography
  144. RanLayNet: A Dataset for Document Layout Detection used for Domain Adaptation and Generalization
  145. Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models
  146. Dynamic fault detection and diagnosis of industrial alkaline water electrolyzer process with variational Bayesian dictionary learning
  147. Nonlinear sparse variational Bayesian learning based model predictive control with application to PEMFC temperature control
  148. State Space Model for New-Generation Network Alternative to Transformers: A Survey
  149. Revealing the structure-property relationships of copper alloys with FAGC
  150. Listen to the Waves: Using a Neuronal Model of the Human Auditory System to Predict Ocean Waves
  151. Fuse after Align: Improving Face-Voice Association Learning via Multimodal Encoder
  152. Clothes-Changing Person Re-Identification with Feasibility-Aware Intermediary Matching
  153. Learning Tracking Representations from Single Point Annotations
  154. SparseOcc: Rethinking Sparse Latent Representation for Vision-Based Semantic Occupancy Prediction
  155. Learning Human Motion from Monocular Videos via Cross-Modal Manifold Alignment
  156. On the Necessity of Collaboration for Online Model Selection with Decentralized Data
  157. Bridging the Gap between Different Vocabularies for LLM Ensemble
  158. Large Language Models Can Automatically Engineer Features for Few-Shot Tabular Learning
  159. Leveraging Temporal Contextualization for Video Action Recognition
  160. SpamDam: Towards Privacy-Preserving and Adversary-Resistant SMS Spam Detection
  161. Mitigating Hallucination in Abstractive Summarization with Domain-Conditional Mutual Information
  162. Improving Weakly-Supervised Object Localization Using Adversarial Erasing and Pseudo Label
  163. TCCT-Net: Two-Stream Network Architecture for Fast and Efficient Engagement Estimation via Behavioral Feature Signals
  164. Q2A: Querying Implicit Fully Continuous Feature Pyramid to Align Features for Medical Image Segmentation
  165. LatticeML: A data-driven application for predicting the effective Young Modulus of high temperature graph based architected materials
  166. Virtually Enriched NYU Depth V2 Dataset for Monocular Depth Estimation: Do We Need Artificial Augmentation?
  167. Tokenization, Fusion, and Augmentation: Towards Fine-grained Multi-modal Entity Representation
  168. Scoring Time Intervals using Non-Hierarchical Transformer For Automatic Piano Transcription
  169. PhyScene: Physically Interactable 3D Scene Synthesis for Embodied AI
  170. PRIME: A CyberGIS Platform for Resilience Inference Measurement and Enhancement
  171. Experimental Analysis of Deep Hedging Using Artificial Market Simulations for Underlying Asset Simulators
  172. Improved Object-Based Style Transfer with Single Deep Network
  173. CompGS: Efficient 3D Scene Representation via Compressed Gaussian Splatting
  174. Hyperbolic Heterogeneous Graph Attention Networks
  175. Utility-Fairness Trade-Offs and How to Find Them
  176. Towards Greener Nights: Exploring AI-Driven Solutions for Light Pollution Management
  177. Contrastive Mean-Shift Learning for Generalized Category Discovery
  178. kNN-CLIP: Retrieval Enables Training-Free Segmentation on Continually Expanding Large Vocabularies
  179. Exploring Text-to-Motion Generation with Human Preference
  180. Hybrid FedGraph: An efficient hybrid federated learning algorithm using graph convolutional neural network
  181. Developing Lagrangian-based Methods for Nonsmooth Nonconvex Optimization
  182. The 8th AI City Challenge
  183. Vision Foundation Model Driven Foreground-Aware Pseudo-LiDAR Generation for Monocular 3D Object Detection
  184. On the Efficiency of Privacy Attacks in Federated Learning
  185. ViFu: Multiple 360^circ Objects Reconstruction with Clean Background via Visible Part Fusion
  186. Super-resolution of biomedical volumes with 2D supervision
  187. Automatic Knowledge Graph Construction for Judicial Cases
  188. A Review on Machine Learning Algorithms for Dust Aerosol Detection using Satellite Data
  189. On the Optimal Regret of Locally Private Linear Contextual Bandit
  190. DeferredGS: Decoupled and Editable Gaussian Splatting with Deferred Shading
  191. Wasserstein Wormhole: Scalable Optimal Transport Distance with Transformers
  192. Human-in-the-Loop Segmentation of Multi-species Coral Imagery
  193. Few-shot Name Entity Recognition on StackOverflow
  194. Neuro-Inspired Information-Theoretic Hierarchical Perception for Multimodal Learning
  195. Neural McKean-Vlasov Processes: Distributional Dependence in Diffusion Processes
  196. An Autoencoder-Based Constellation Design for AirComp in Wireless Federated Learning
  197. Privacy at a Price: Exploring its Dual Impact on AI Fairness
  198. Masked and Shuffled Blind Spot Denoising for Real-World Images
  199. Integrating Marketing Channels into Quantile Transformation and Bayesian Optimization of Ensemble Kernels for Sales Prediction with Gaussian Process Models
  200. A Large-Scale Evaluation of Speech Foundation Models