mlsanityData to 14 Oct 2026

Papers

New on arXiv

Thu 12 Oct 2023

293 papers

  1. CompA: Addressing the Gap in Compositional Reasoning in Audio-Language ModelsLLM reasoning → Audio-language model reasoning
  2. Circuit Component Reuse Across Tasks in Transformer Language ModelsMechanistic interpretability → Circuits and mechanistic analysis
  3. A Zero-Shot Language Agent for Computer Control with Structured ReflectionLLM agents and tool use → General LLM agent frameworks and benchmarks
  4. Novelty Detection in Reinforcement Learning with World ModelsWorld models → Latent dynamics models and model-based RL
  5. Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving ResearchWorld models → World models for autonomous driving +1
  6. Pay Attention to How You Drive: Safe and Adaptive Model-Based Reinforcement Learning for Off-Road DrivingEnd-to-end autonomous driving → Reinforcement learning for driving
  7. Multimodal Large Language Model for Visual NavigationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  8. Histogram- and Diffusion-Based Medical Out-of-Distribution DetectionDiffusion models → Medical imaging and segmentation
  9. Octopus: Embodied Vision-Language Programmer from Environmental FeedbackMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  10. Tree-Planner: Efficient Close-loop Task Planning with Large Language ModelsLLM reasoning → Reasoning for agents, planning and code
  11. HyperHuman: Hyper-Realistic Human Generation with Latent Structural DiffusionDiffusion models → 3D, point cloud and scene generation
  12. Visual Data-Type Understanding does not emerge from Scaling Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  13. Transformers as Decision Makers: Provable In-Context Reinforcement Learning via Supervised PretrainingOffline RL and imitation learning from data → Decision transformers and sequence modeling
  14. Phenomenal Yet Puzzling: Testing Inductive Reasoning Capabilities of Language Models with Hypothesis RefinementLLM reasoning → Reasoning benchmarks and evaluation
  15. Offline Retraining for Online RL: Decoupled Policy Learning to Mitigate Exploration BiasOffline RL and imitation learning from data → Offline RL algorithms
  16. Formally Specifying the High-Level Behavior of LLM-Based AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
  17. GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
  18. Prometheus: Inducing Fine-grained Evaluation Capability in Language ModelsLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  19. Can We Edit Multimodal Large Language Models?Multimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  20. MotionDirector: Motion Customization of Text-to-Video Diffusion ModelsDiffusion models → Video generation
  21. DistillSpec: Improving Speculative Decoding via Knowledge DistillationEfficient LLM inference and serving → Speculative decoding +1
  22. Towards Robust Multi-Modal Reasoning via Model SelectionLLM reasoning → Reasoning for agents, planning and code +1
  23. Unmasking Bias in Diffusion Model TrainingDiffusion models → Diffusion foundations and sampling
  24. Visual Attention Prompted Prediction and LearningLLM reasoning → Multimodal reasoning
  25. Jailbreaking Black Box Large Language Models in Twenty QueriesLLM safety and security → Jailbreaking
  26. Prompting Large Language Models with Chain-of-Thought for Few-Shot Knowledge Base Question GenerationLLM reasoning → Prompting and chain-of-thought reasoning
  27. Neural Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  28. Leveraging Vision-Language Models for Improving Domain Generalization in Image ClassificationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  29. Ziya-Visual: Bilingual Large Vision-Language Model via Multi-Task Instruction TuningMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  30. Interpreting Learned Feedback Patterns in Large Language ModelsLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  31. Context Compression for Auto-regressive Transformers with Sentinel TokensEfficient LLM inference and serving → Prompt and context compression
  32. Open-Set Knowledge-Based Visual Question Answering with Inference PathsLLM reasoning → Multimodal reasoning
  33. Promptor: A Conversational and Autonomous Prompt Generation Agent for Intelligent Text Entry TechniquesLLM agents and tool use → General LLM agent frameworks and benchmarks
  34. Consistent123: Improve Consistency for One Image to 3D Object SynthesisDiffusion models → 3D, point cloud and scene generation
  35. GameGPT: Multi-agent Collaborative Framework for Game DevelopmentLLM agents and tool use → Software engineering coding agents
  36. Receive, Reason, and React: Drive as You Say with Large Language Models in Autonomous VehiclesLLM reasoning → Chain-of-thought reasoning for driving +1
  37. Why Train More? Effective and Efficient Membership Inference via MemorizationLLM safety and security → Membership inference attacks
  38. LEMON: Lossless model expansionLLM reasoning → Multimodal reasoning
  39. Interpretable Diffusion via Information DecompositionDiffusion models → Diffusion foundations and sampling
  40. Think, Act, and Ask: Open-World Interactive Personalized Robot NavigationLLM reasoning → Spatial and embodied reasoning
  41. A Novel Defocus-Blur Region Detection Approach Based on DCT Feature and PCNN Structure
  42. Large language models can replicate cross-cultural differences in personality
  43. Eliciting Model Steering Interactions from Users via Data and Visual Design Probes
  44. DeltaSpace: A Semantic-aligned Feature Space for Flexible Text-guided Image Editing
  45. Implicit Shape and Appearance Priors for Few-Shot Full Head Reconstruction
  46. When Machine Learning Models Leak: An Exploration of Synthetic Training Data
  47. PhyloGFN: Phylogenetic inference with generative flow networks
  48. Examining the Potential and Pitfalls of ChatGPT in Science and Engineering Problem-Solving
  49. Investigating the Robustness and Properties of Detection Transformers (DETR) Toward Difficult Images
  50. Modeling Fission Gas Release at the Mesoscale using Multiscale DenseNet Regression with Attention Mechanism and Inception Blocks
  51. Calibrating Likelihoods towards Consistency in Summarization Models
  52. Stabilizing Subject Transfer in EEG Classification with Divergence Estimation
  53. Question Answering for Electronic Health Records: A Scoping Review of datasets and models
  54. Detection and prediction of clopidogrel treatment failures using longitudinal structured electronic health records
  55. Intelligent Scoliosis Screening and Diagnosis: A Survey
  56. PU-Ray: Domain-Independent Point Cloud Upsampling via Ray Marching on Neural Implicit Surface
  57. Tokenizer Choice For LLM Training: Negligible or Crucial?
  58. Constrained Bayesian Optimization with Adaptive Active Learning of Unknown Constraints
  59. Search-Adaptor: Embedding Customization for Information Retrieval
  60. Evolutionary Dynamic Optimization and Machine Learning
  61. Robustness to Multi-Modal Environment Uncertainty in MARL using Curriculum Learning
  62. AcTExplore: Active Tactile Exploration of Unknown Objects
  63. Development and Validation of a Deep Learning-Based Microsatellite Instability Predictor from Prostate Cancer Whole-Slide Images
  64. An adaptive ensemble filter for heavy-tailed distributions: tuning-free inflation and localization
  65. Splicing Up Your Predictions with RNA Contrastive Learning
  66. Real-Time Event Detection with Random Forests and Temporal Convolutional Networks for More Sustainable Petroleum Industry
  67. Provably Cost-Sensitive Adversarial Defense via Randomized Smoothing
  68. Heterophily-Based Graph Neural Network for Imbalanced Classification
  69. Designing Observables for Measurements with Deep Learning
  70. Transformer Choice Net: A Transformer Neural Network for Choice Prediction
  71. Toward Joint Language Modeling for Speech Units and Text
  72. Polynomial Time Cryptanalytic Extraction of Neural Network Models
  73. A Benchmarking Protocol for SAR Colorization: From Regression to Deep Learning Approaches
  74. ELDEN: Exploration via Local Dependencies
  75. Kernel-Elastic Autoencoder for Molecular Design
  76. Virtual Augmented Reality for Atari Reinforcement Learning
  77. Fed-Safe: Securing Federated Learning in Healthcare Against Adversarial Attacks
  78. Can GPT models be Financial Analysts? An Evaluation of ChatGPT and GPT-4 on mock CFA Exams
  79. GeSS: Benchmarking Geometric Deep Learning under Scientific Applications with Distribution Shifts
  80. Machine Learning Who to Nudge: Causal vs Predictive Targeting in a Field Experiment on Student Financial Aid Renewal
  81. SSG2: A new modelling paradigm for semantic segmentation
  82. Every Parameter Matters: Ensuring the Convergence of Federated Learning with Dynamic Heterogeneous Models Reduction
  83. Counting and Algorithmic Generalization with Transformers
  84. Learning RL-Policies for Joint Beamforming Without Exploration: A Batch Constrained Off-Policy Approach
  85. LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models
  86. SplitBeam: Effective and Efficient Beamforming in Wi-Fi Networks Through Split Computing
  87. Analyzing Textual Data for Fatality Classification in Afghanistan's Armed Conflicts: A BERT Approach
  88. Electrical Grid Anomaly Detection via Tensor Decomposition
  89. Time-vectorized numerical integration for systems of ODEs
  90. Defect Analysis of 3D Printed Cylinder Object Using Transfer Learning Approaches
  91. A Mass-Conserving-Perceptron for Machine Learning-Based Modeling of Geoscientific Systems
  92. Divorce Prediction with Machine Learning: Insights and LIME Interpretability
  93. The Impact of Explanations on Fairness in Human-AI Decision-Making: Protected vs Proxy Features
  94. Pseudo-Generalized Dynamic View Synthesis from a Video
  95. PonderV2: Pave the Way for 3D Foundation Model with A Universal Pre-training Paradigm
  96. Im4D: High-Fidelity and Real-Time Novel View Synthesis for Dynamic Scenes
  97. Is ImageNet worth 1 video? Learning strong image encoders from 1 long unlabelled video
  98. Universal Visual Decomposer: Long-Horizon Manipulation Made Easy
  99. OmniControl: Control Any Joint at Any Time for Human Motion Generation
  100. Learning to Act from Actionless Videos through Dense Correspondences
All 293
  1. Jigsaw: Supporting Designers to Prototype Multimodal Applications by Chaining AI Foundation Models
  2. Bucks for Buckets (B4B): Active Defenses Against Stealing Encoders
  3. A Lightweight Calibrated Simulation Enabling Efficient Offline Learning for Optimal Control of Real Buildings
  4. Security Considerations in AI-Robotics: A Survey of Current Methods, Challenges, and Opportunities
  5. MemGPT: Towards LLMs as Operating Systems
  6. Cross-Episodic Curriculum for Transformer Agents
  7. Stronger Coreset Bounds for Kernel Density Estimators via Chaining
  8. Idea2Img: Iterative Self-Refinement with GPT-4V(ision) for Automatic Image Design and Generation
  9. Do pretrained Transformers Learn In-Context by Gradient Descent?
  10. Image2PCI -- A Multitask Learning Framework for Estimating Pavement Condition Indices Directly from Images
  11. Saliency-Bench: A Comprehensive Benchmark for Evaluating Visual Explanations
  12. Animating Street View
  13. X-Pose: Detecting Any Keypoints
  14. 4D Gaussian Splatting for Real-Time Dynamic Scene Rendering
  15. LLM-augmented Preference Learning from Natural Language
  16. How connectivity structure shapes rich and lazy learning in neural circuits
  17. HoneyBee: Progressive Instruction Finetuning of Large Language Models for Materials Science
  18. Unsupervised Learning of Object-Centric Embeddings for Cell Instance Segmentation in Microscopy Images
  19. Impact of time and note duration tokenizations on deep learning symbolic music modeling
  20. The Uncertainty-based Retrieval Framework for Ancient Chinese CWS and POS
  21. Characterizing climate pathways using feature importance on echo state networks
  22. GraphextQA: A Benchmark for Evaluating Graph-Enhanced Large Language Models
  23. Understanding the Humans Behind Online Misinformation: An Observational Study Through the Lens of the COVID-19 Pandemic
  24. Personalised dynamic super learning: an application in predicting hemodiafiltration convection volumes
  25. Strategies and impact of learning curve estimation for CNN-based image classification
  26. Belief formation and the persistence of biased beliefs
  27. A Recent Survey of Heterogeneous Transfer Learning
  28. Metrics for popularity bias in dynamic recommender systems
  29. Proving the Potential of Skeleton Based Action Recognition to Automate the Analysis of Manual Processes
  30. A Confederacy of Models: a Comprehensive Evaluation of LLMs on Creative Writing
  31. Neural Sampling in Hierarchical Exponential-family Energy-based Models
  32. Assessing of Soil Erosion Risk Through Geoinformation Sciences and Remote Sensing -- A Review
  33. Revisiting Data Augmentation for Rotational Invariance in Convolutional Neural Networks
  34. Extensions of Heterogeneity in Integration and Prediction (HIP) with R Shiny Application
  35. Differentially Private Non-convex Learning for Multi-layer Neural Networks
  36. Visual Self-supervised Learning Scheme for Dense Prediction Tasks on X-ray Images
  37. Evaluation of ChatGPT-Generated Medical Responses: A Systematic Review and Meta-Analysis
  38. Tightening Bounds on Probabilities of Causation By Merging Datasets
  39. Performance/power assessment of CNN packages on embedded automotive platforms
  40. Towards Design and Development of an ArUco Markers-Based Quantitative Surface Tactile Sensor
  41. Towards Better Evaluation of Instruction-Following: A Case-Study in Summarization
  42. Introducing a Deep Neural Network-based Model Predictive Control Framework for Rapid Controller Implementation
  43. How Many Pretraining Tasks Are Needed for In-Context Learning of Linear Regression?
  44. Hyp-UML: Hyperbolic Image Retrieval with Uncertainty-aware Metric Learning
  45. Aligning Data Selection with Performance: Performance-driven Reinforcement Learning for Active Learning in Object Detection
  46. Reconstructing Materials Tetrahedron: Challenges in Materials Information Extraction
  47. AutoVP: An Automated Visual Prompting Framework and Benchmark
  48. Do Not Marginalize Mechanisms, Rather Consolidate!
  49. Improving Factual Consistency for Knowledge-Grounded Dialogue Systems via Knowledge Enhancement and Alignment
  50. Worst-Case Morphs using Wasserstein ALI and Improved MIPGAN
  51. UniPAD: A Universal Pre-training Paradigm for Autonomous Driving
  52. Mapping Memes to Words for Multimodal Hateful Meme Classification
  53. MCU: An Evaluation Framework for Open-Ended Game Agents
  54. From Large Language Models to Knowledge Graphs for Biomarker Discovery in Cancer
  55. Towards Demystifying the Generalization Behaviors When Neural Collapse Emerges
  56. LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios
  57. TTK is Getting MPI-Ready
  58. 2SFGL: A Simple And Robust Protocol For Graph-Based Fraud Detection
  59. Real-Time Neural BRDF with Spherically Distributed Primitives
  60. Dealing with uncertainty: balancing exploration and exploitation in deep recurrent reinforcement learning
  61. Transport-Hub-Aware Spatial-Temporal Adaptive Graph Transformer for Traffic Flow Prediction
  62. NSM4D: Neural Scene Model Based Online 4D Point Cloud Sequence Understanding
  63. Defending Our Privacy With Backdoors
  64. Extended target tracking utilizing machine-learning software -- with applications to animal classification
  65. GePSAn: Generative Procedure Step Anticipation in Cooking Videos
  66. Not All Demonstration Examples are Equally Beneficial: Reweighting Demonstration Examples for In-Context Learning
  67. CHIP: Contrastive Hierarchical Image Pretraining
  68. Multimodal Variational Auto-encoder based Audio-Visual Segmentation
  69. MProto: Multi-Prototype Network with Denoised Optimal Transport for Distantly Supervised Named Entity Recognition
  70. If our aim is to build morality into an artificial agent, how might we begin to go about doing so?
  71. Concealed Electronic Countermeasures of Radar Signal with Adversarial Examples
  72. Expanding the Vocabulary of BERT for Knowledge Base Construction
  73. A Symmetry-Aware Exploration of Bayesian Neural Network Posteriors
  74. Data driven modeling for self-similar dynamics
  75. Optimizing Odia Braille Literacy: The Influence of Speed on Error Reduction and Enhanced Comprehension
  76. Enhancing Text-based Knowledge Graph Completion with Zero-Shot Large Language Models: A Focus on Semantic Enhancement
  77. Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting
  78. Direction-Oriented Visual-semantic Embedding Model for Remote Sensing Image-text Retrieval
  79. GraphAlign: Enhancing Accurate Feature Alignment by Graph matching for Multi-Modal 3D Object Detection
  80. Invisible Threats: Backdoor Attack in OCR Systems
  81. Impact of Co-occurrence on Factual Knowledge of Large Language Models
  82. MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning
  83. Who Said That? Benchmarking Social Media AI Detection
  84. Towards a Unified Analysis of Kernel-based Methods Under Covariate Shift
  85. GROOT: Learning to Follow Instructions by Watching Gameplay Videos
  86. The Impact of Time Step Frequency on the Realism of Robotic Manipulation Simulation for Objects of Different Scales
  87. Language Models are Universal Embedders
  88. DiscoMatch: Fast Discrete Optimisation for Geometrically Consistent 3D Shape Matching
  89. Fast Word Error Rate Estimation Using Self-Supervised Representations for Speech and Text
  90. Latent Point Collapse on a Low Dimensional Embedding in Deep Neural Network Classifiers
  91. Structural analysis of Hindi online handwritten characters for character recognition
  92. SimCKP: Simple Contrastive Learning of Keyphrase Representations
  93. TriRE: A Multi-Mechanism Learning Paradigm for Continual Knowledge Retention and Promotion
  94. Trustworthy Machine Learning
  95. Conformal inference for regression on Riemannian Manifolds
  96. Long-Tailed Classification Based on Coarse-Grained Leading Forest and Multi-Center Loss
  97. STELLA: Continual Audio-Video Pre-training with Spatio-Temporal Localized Alignment
  98. Beyond Traditional DoE: Deep Reinforcement Learning for Optimizing Experiments in Model Identification of Battery Dynamics
  99. Visual Question Generation in Bengali
  100. EIPE-text: Evaluation-Guided Iterative Plan Extraction for Long-Form Narrative Text Generation
  101. Learning from models beyond fine-tuning
  102. XIMAGENET-12: An Explainable AI Benchmark Dataset for Model Robustness Evaluation
  103. Improving Fast Minimum-Norm Attacks with Hyperparameter Optimization
  104. Infinite Width Graph Neural Networks for Node Regression/ Classification
  105. Exploring the Cognitive Knowledge Structure of Large Language Models: An Educational Diagnostic Assessment Approach
  106. Simplicity Level Estimate (SLE): A Learned Reference-Less Metric for Sentence Simplification
  107. Multiclass Classification of Policy Documents with Large Language Models
  108. COVID-19 detection using ViT transformer-based approach from Computed Tomography Images
  109. On Extreme Value Asymptotics of Projected Sample Covariances in High Dimensions with Applications in Finance and Convolutional Networks
  110. A Deep Learning Framework for Spatiotemporal Ultrasound Localization Microscopy
  111. Fine-Grained Annotation for Face Anti-Spoofing
  112. DualAug: Exploiting Additional Heavy Augmentation with OOD Data Rejection
  113. Multi-Scale Spatial-Temporal Recurrent Networks for Traffic Flow Prediction
  114. Counterfactual Explanations for Time Series Forecasting
  115. On the Relevance of Phoneme Duration Variability of Synthesized Training Data for Automatic Speech Recognition
  116. Fine-grained Conversational Decoding via Isotropic and Proximal Search
  117. Tailored Visions: Enhancing Text-to-Image Generation with Personalized Prompt Rewriting
  118. Who Wrote it and Why? Prompting Large-Language Models for Authorship Verification
  119. Core-sets for Fair and Diverse Data Summarization
  120. Can Large Language Models Really Improve by Self-critiquing Their Own Plans?
  121. DUSA: Decoupled Unsupervised Sim2Real Adaptation for Vehicle-to-Everything Collaborative Perception
  122. Multimodal Active Measurement for Human Mesh Recovery in Close Proximity
  123. Model-Agnostic Covariate-Assisted Inference on Partially Identified Causal Effects
  124. Overview of Physics-Informed Machine Learning Inversion of Geophysical Data
  125. Generalized Logit Adjustment: Calibrating Fine-tuned Models by Removing Label Bias in Foundation Models
  126. Voice Conversion for Stuttered Speech, Instruments, Unseen Languages and Textually Described Voices
  127. QASiNa: Religious Domain Question Answering using Sirah Nabawiyah
  128. Generative Intrinsic Optimization: Intrinsic Control with Model Learning
  129. ClimateNLP: Analyzing Public Sentiment Towards Climate Change Using Natural Language Processing
  130. Sentinel: An Aggregation Function to Secure Decentralized Federated Learning
  131. ClimateBERT-NetZero: Detecting and Assessing Net Zero and Reduction Targets
  132. SingleInsert: Inserting New Concepts from a Single Image into Text-to-Image Models for Flexible Editing
  133. Discerning Temporal Difference Learning
  134. Learning Regularized Monotone Graphon Mean-Field Games
  135. Dealing with zero-inflated data: achieving SOTA with a two-fold machine learning approach
  136. A Carbon Tracking Model for Federated Learning: Impact of Quantization and Sparsification
  137. Low-Resource Clickbait Spoiling for Indonesian via Question Answering
  138. Volumetric Medical Image Segmentation via Scribble Annotations and Shape Priors
  139. Jointly Optimized Global-Local Visual Localization of UAVs
  140. RT-SRTS: Angle-Agnostic Real-Time Simultaneous 3D Reconstruction and Tumor Segmentation from Single X-Ray Projection
  141. To token or not to token: A Comparative Study of Text Representations for Cross-Lingual Transfer
  142. Samples on Thin Ice: Re-Evaluating Adversarial Pruning of Neural Networks
  143. Training Generative Question-Answering on Synthetic Data Obtained from an Instruct-tuned Model
  144. Learning Transferable Conceptual Prototypes for Interpretable Unsupervised Domain Adaptation
  145. Tight Time-Space Lower Bounds for Constant-Pass Learning
  146. Rethinking Negative Pairs in Code Search
  147. Frequency-Aware Re-Parameterization for Over-Fitting Based Image Compression
  148. The Search-and-Mix Paradigm in Approximate Nash Equilibrium Algorithms
  149. Age Estimation Based on Graph Convolutional Networks and Multi-head Attention Mechanisms
  150. ETDock: A Novel Equivariant Transformer for Protein-Ligand Docking
  151. Learning from Label Proportions: Bootstrapping Supervised Learners via Belief Propagation
  152. Log-Gaussian Gamma Processes for Training Bayesian Neural Networks in Raman and CARS Spectroscopies
  153. Lattice real-time simulations with learned optimal kernels
  154. LGL-BCI: A Motor-Imagery-Based Brain-Computer Interface with Geometric Learning
  155. Is attention required for ICL? Exploring the Relationship Between Model Architecture and In-Context Learning Ability
  156. EC-Depth: Exploring the consistency of self-supervised monocular depth estimation in challenging scenes
  157. Understanding and Controlling a Maze-Solving Policy Network
  158. X-HRNet: Towards Lightweight Human Pose Estimation with Spatially Unidimensional Self-Attention
  159. QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Models
  160. SEE-OoD: Supervised Exploration For Enhanced Out-of-Distribution Detection
  161. Rethinking Large-scale Pre-ranking System: Entire-chain Cross-domain Models
  162. Continual Learning via Manifold Expansion Replay
  163. ZEST: Attention-based Zero-Shot Learning for Unseen IoT Device Classification
  164. BaSAL: Size-Balanced Warm Start Active Learning for LiDAR Semantic Segmentation
  165. Incorporating Domain Knowledge Graph into Multimodal Movie Genre Classification with Self-Supervised Attention and Contrastive Learning
  166. Local Graph Clustering with Noisy Labels
  167. Exploring Large Language Models for Multi-Modal Out-of-Distribution Detection
  168. Beyond Sharing Weights in Decoupling Feature Learning Network for UAV RGB-Infrared Vehicle Re-Identification
  169. Robust 1-bit Compressed Sensing with Iterative Hard Thresholding
  170. Harnessing Large Language Models' Empathetic Response Generation Capabilities for Online Mental Health Counselling Support
  171. AutoFHE: Automated Adaption of CNNs for Efficient Evaluation over FHE
  172. Dual-Stream Knowledge-Preserving Hashing for Unsupervised Video Retrieval
  173. Effects of Human Adversarial and Affable Samples on BERT Generalization
  174. MLP-AMDC: An MLP Architecture for Adaptive-Mask-based Dual-Camera snapshot hyperspectral imaging
  175. A Novel Statistical Measure for Out-of-Distribution Detection in Data Quality Assurance
  176. PG-NeuS: Robust and Efficient Point Guidance for Multi-View Neural Surface Reconstruction
  177. Reset It and Forget It: Relearning Last-Layer Weights Improves Continual and Transfer Learning
  178. HeightFormer: A Multilevel Interaction and Image-adaptive Classification-regression Network for Monocular Height Estimation with Aerial Images
  179. Multi-View Variational Autoencoder for Missing Value Imputation in Untargeted Metabolomics
  180. Semantic-Forward Relaying: A Novel Framework Towards 6G Cooperative Communications
  181. Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization
  182. Large Language Models for Scientific Synthesis, Inference and Explanation
  183. Achieving Linear Speedup with ProxSkip in Distributed Stochastic Optimization
  184. Reinforcement Learning of Display Transfer Robots in Glass Flow Control Systems: A Physical Simulation-Based Approach
  185. GRASP: Accelerating Shortest Path Attacks via Graph Attention
  186. Graph-SCP: Accelerating Set Cover Problems with Graph Neural Networks
  187. Self-supervised visual learning for analyzing firearms trafficking activities on the Web
  188. Statistical Performance Guarantee for Subgroup Identification with Generic Machine Learning
  189. Hyperparameter Adaptive Search for Surrogate Optimization: A Self-Adjusting Approach
  190. CleftGAN: Adapting A Style-Based Generative Adversarial Network To Create Images Depicting Cleft Lip Deformity
  191. Clustering of Spell Variations for Proper Nouns Transliterated from the other languages
  192. Towards Causal Deep Learning for Vulnerability Detection
  193. A New Approach Towards Autoformalization