mlsanityData to 14 Oct 2026

Papers

New on arXiv

Wed 17 May 2023

285 papers

  1. Tree of Thoughts: Deliberate Problem Solving with Large Language ModelsLLM reasoning → Test-time compute and efficient thinking
  2. ReasonNet: End-to-End Driving with Temporal and Global ReasoningEnd-to-end autonomous driving → VLMs for autonomous driving
  3. Incorporating Attribution Importance for Improving Faithfulness MetricsLLM reasoning → Test-time compute and efficient thinking
  4. Preserve Your Own Correlation: A Noise Prior for Video Diffusion ModelsDiffusion models → Video generation
  5. FastComposer: Tuning-Free Multi-Subject Image Generation with Localized AttentionDiffusion models → Image generation, text-to-image and editing
  6. Rethinking the Open-Loop Evaluation of End-to-End Autonomous Driving in nuScenesEnd-to-end autonomous driving → End-to-end system architecture
  7. Accelerating Transformer Inference for Translation via Parallel DecodingEfficient LLM inference and serving → Speculative decoding
  8. SLiC-HF: Sequence Likelihood Calibration with Human FeedbackLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  9. PaLM 2 Technical ReportLLM reasoning → Reasoning benchmarks and evaluation
  10. What You See is What You Read? Improving Text-Image Alignment EvaluationMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  11. End-To-End Latent Variational Diffusion Models for Inverse Problems in High Energy PhysicsDiffusion models → Flow matching, time series and science
  12. Raising the Bar for Certified Adversarial Robustness with Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects
  13. Human Choice Prediction in Language-based Persuasion Games: Simulation-based Off-Policy EvaluationLLM agents and tool use → Social simulation and multi-agent debate
  14. Evaluating Object Hallucination in Large Vision-Language ModelsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
  15. Reward-agnostic Fine-tuning: Provable Statistical Benefits of Hybrid Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
  16. Improving Language Model Negotiation with Self-Play and In-Context Learning from AI FeedbackSynthetic data and self-improvement for LLMs → Self-play RL for reasoning
  17. Controllable Mind Visual Diffusion ModelDiffusion models → Medical imaging and segmentation
  18. A proof of imitation of Wasserstein inverse reinforcement learning for multi-objective optimizationOffline RL and imitation learning from data → Inverse reinforcement learning
  19. Probing the Role of Positional Information in Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  20. Can Language Models Solve Graph Problems in Natural Language?LLM reasoning → Knowledge- and tool-augmented reasoning
  21. Are You Copying My Model? Protecting the Copyright of Large Language Models for EaaS via Backdoor WatermarkLLM safety and security → Watermarking generated content and models
  22. Pyramid Diffusion Models For Low-light Image EnhancementDiffusion models → Inverse problems and image restoration
  23. AD-KD: Attribution-Driven Knowledge Distillation for Language Model CompressionKnowledge distillation → Knowledge distillation for LLMs
  24. DinoSR: Self-Distillation and Online Clustering for Self-supervised Speech Representation LearningKnowledge distillation → Speech and audio distillation
  25. Reprompting: Automated Chain-of-Thought Prompt Inference Through Gibbs SamplingLLM reasoning → Prompting and chain-of-thought reasoning
  26. Short-Term Stock Price Forecasting using exogenous variables and Machine Learning Algorithms
  27. Interpretable Graph Networks Formulate Universal Algebra Conjectures
  28. PrivaScissors: Enhance the Privacy of Collaborative Inference through the Lens of Mutual Information
  29. Leveraging Machine Learning for Multichain DeFi Fraud Detection
  30. Instruction Tuned Models are Quick Learners
  31. Motion-Scenario Decoupling for Rat-Aware Video Position Prediction: Strategy and Benchmark
  32. Prompt Engineering for Transformer-based Chemical Similarity Search Identifies Structurally Distinct Functional Analogues
  33. Transcending Grids: Point Clouds and Surface Representations Powering Neurological Processing
  34. Language Model Tokenizers Introduce Unfairness Between Languages
  35. PulseNet: Deep Learning ECG-signal classification using random augmentation policy and continous wavelet transform for canines
  36. Facial Expression Recognition at the Edge: CPU vs GPU vs VPU vs TPU
  37. Information processing via human soft tissue
  38. Machine Learning and VIIRS Satellite Retrievals for Skillful Fuel Moisture Content Monitoring in Wildfire Management
  39. Sequential Best-Arm Identification with Application to Brain-Computer Interface
  40. Properties of the ENCE and other MAD-based calibration metrics
  41. Compress, Then Prompt: Improving Accuracy-Efficiency Trade-off of LLM Inference with Transferable Prompt
  42. Assessing the predicting power of GPS data for aftershocks forecasting
  43. Comparison of Transfer Learning based Additive Manufacturing Models via A Case Study
  44. Token-wise Decomposition of Autoregressive Language Model Hidden States for Analyzing Model Predictions
  45. Temporal Knowledge Graph Forecasting Without Knowledge Using In-Context Learning
  46. ACRoBat: Optimizing Auto-batching of Dynamic Deep Learning at Compile Time
  47. Solving Cosine Similarity Underestimation between High Frequency Words by L2 Norm Discounting
  48. Improving Extrinsics between RADAR and LIDAR using Learning
  49. Inverted Non-maximum Suppression for more Accurate and Neater Face Detection
  50. INCLG: Inpainting for Non-Cleft Lip Generation with a Multi-Task Image Processing Network
  51. A Better Way to Do Masked Language Model Scoring
  52. Sim-MEES: Modular End-Effector System Grasping Dataset for Mobile Manipulators in Cluttered Environments
  53. MultiPlaneNeRF: Neural Radiance Field with Non-Trainable Representation
  54. Tensor Products and Hyperdimensional Computing
  55. Self-Supervised Learning for Physiologically-Based Pharmacokinetic Modeling in Dynamic PET
  56. From chocolate bunny to chocolate crocodile: Do Language Models Understand Noun Compounds?
  57. Smiling Women Pitching Down: Auditing Representational and Presentational Gender Biases in Image Generative AI
  58. Counterfactually Comparing Abstaining Classifiers
  59. HaSa: Hardness and Structure-Aware Contrastive Knowledge Graph Embedding
  60. Massively Multi-Lingual Event Understanding: Extraction, Visualization, and Search
  61. Short-Term Electricity Load Forecasting Using the Temporal Fusion Transformer: Effect of Grid Hierarchies and Data Sources
  62. Bring More Attention to Syntactic Symmetry for Automatic Postediting of High-Quality Machine Translations
  63. Integrated Conflict Management for UAM with Strategic Demand Capacity Balancing and Learning-based Tactical Deconfliction
  64. Deep Multiple Instance Learning with Distance-Aware Self-Attention
  65. Sparsity-depth Tradeoff in Infinitely Wide Deep Neural Networks
  66. Discovering Individual Rewards in Collective Behavior through Inverse Multi-Agent Reinforcement Learning
  67. Rethinking Multimodal Content Moderation from an Asymmetric Angle with Mixed-modality
  68. Tractable Probabilistic Graph Representation Learning with Graph-Induced Sum-Product Networks
  69. Generalization Bounds for Neural Belief Propagation Decoders
  70. Generating Bayesian Network Models from Data Using Tsetlin Machines
  71. Online List Labeling with Predictions
  72. Scalable and Safe Remediation of Defective Actions in Self-Learning Conversational Systems
  73. Statistical Knowledge Assessment for Large Language Models
  74. Learning Pose Image Manifolds Using Geometry-Preserving GANs and Elasticae
  75. IMAD: IMage-Augmented multi-modal Dialogue
  76. ChatGPT Perpetuates Gender Bias in Machine Translation and Ignores Non-Gendered Pronouns: Findings across Bengali and Five other Low-Resource Languages
  77. Exact Recovery for System Identification with More Corrupt Data than Clean Data
  78. Model-Free Robust Average-Reward Reinforcement Learning
  79. OR-NeRF: Object Removing from 3D Scenes Guided by Multiview Segmentation with Neural Radiance Fields
  80. EENED: End-to-End Neural Epilepsy Detection based on Convolutional Transformer
  81. Learning Likelihood Ratios with Neural Network Classifiers
  82. Edge Directionality Improves Learning on Heterophilic Graphs
  83. Bayesian Renormalization
  84. Predicting Side Effect of Drug Molecules using Recurrent Neural Networks
  85. Nine tips for ecologists using machine learning
  86. Bike2Vec: Vector Embedding Representations of Road Cycling Riders and Races
  87. Object Segmentation by Mining Cross-Modal Semantics
  88. CHNNet: An Artificial Neural Network With Connected Hidden Neurons
  89. Analysing Biomedical Knowledge Graphs using Prime Adjacency Matrices
  90. Solitary pulmonary nodules prediction for lung cancer patients using nomogram and machine learning
  91. Towards Robust Probabilistic Modeling on SO(3) via Rotation Laplace Distribution
  92. Reconstruction Error-based Anomaly Detection with Few Outlying Examples
  93. DualVector: Unsupervised Vector Font Synthesis with Dual-Part Representation
  94. Topology Optimization using Neural Networks with Conditioning Field Initialization for Improved Efficiency
  95. AnalogNAS: A Neural Network Design Framework for Accurate Inference with Analog In-Memory Computing
  96. Time Series Clustering With Random Convolutional Kernels
  97. LPMM: Intuitive Pose Control for Neural Talking-Head Model via Landmark-Parameter Morphable Model
  98. Towards Generalist Robots: A Promising Paradigm via Generative Simulation
  99. VVC+M: Plug and Play Scalable Image Coding for Humans and Machines
  100. DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining
All 285
  1. ZeroFlow: Scalable Scene Flow via Distillation
  2. Evolving Tsukamoto Neuro Fuzzy Model for Multiclass Covid 19 Classification with Chest X Ray Images
  3. CLIP-GCD: Simple Language Guided Generalized Category Discovery
  4. Towards Multi-Layered 3D Garments Animation
  5. Scratch Copilot Evaluation: Assessing AI-Assisted Creative Coding for Families
  6. PMC-VQA: Visual Instruction Tuning for Medical Visual Question Answering
  7. On Consistency of Signature Using Lasso
  8. AI Friends: A Design Framework for AI-Powered Creative Programming for Youth
  9. Wasserstein Gradient Flows for Optimizing Gaussian Mixture Policies
  10. BAD: BiAs Detection for Large Language Models in the context of candidate screening
  11. Variational Classification
  12. RelationMatch: Matching In-batch Relationships for Semi-supervised Learning
  13. Optimality of Message-Passing Architectures for Sparse Graphs
  14. Elaborative Simplification as Implicit Questions Under Discussion
  15. Logit-Based Ensemble Distribution Distillation for Robust Autoregressive Sequence Uncertainties
  16. Large-Scale Text Analysis Using Generative Language Models: A Case Study in Discovering Public Value Expressions in AI Patents
  17. Active Learning in Symbolic Regression with Physical Constraints
  18. Explainable Multi-Agent Reinforcement Learning for Temporal Queries
  19. Interactive Learning of Hierarchical Tasks from Dialog with GPT
  20. Confidence-Guided Semi-supervised Learning in Land Cover Classification
  21. Extracting a functional representation from a dictionary for non-rigid shape matching
  22. G-Adapter: Towards Structure-Aware Parameter-Efficient Transfer Learning for Graph Transformer Networks
  23. Joint Denoising and Few-angle Reconstruction for Low-dose Cardiac SPECT Using a Dual-domain Iterative Network with Adaptive Data Consistency
  24. Cross-domain Iterative Network for Simultaneous Denoising, Limited-angle Reconstruction, and Attenuation Correction of Low-dose Cardiac SPECT
  25. Controllable Speaking Styles Using a Large Language Model
  26. CostFormer:Cost Transformer for Cost Aggregation in Multi-view Stereo
  27. Automatic Photo Orientation Detection with Convolutional Neural Networks
  28. LeTI: Learning to Generate from Textual Interactions
  29. Investigating image-based fallow weed detection performance on Raphanus sativus and Avena sativa at speeds up to 30 km h-1
  30. MetaModulation: Learning Variational Feature Hierarchies for Few-Shot Learning with Fewer Tasks
  31. Rethinking Data Augmentation for Tabular Data in Deep Learning
  32. FACE: Evaluating Natural Language Generation with Fourier Analysis of Cross-Entropy
  33. UniEX: An Effective and Efficient Framework for Unified Information Extraction via a Span-extractive Perspective
  34. One-Prompt to Segment All Medical Images
  35. Binarized Spectral Compressive Imaging
  36. Estimation of Remaining Useful Life and SOH of Lithium Ion Batteries (For EV Vehicles)
  37. DualFL: A Duality-based Federated Learning Algorithm with Communication Acceleration in the General Convex Regime
  38. Infinite Class Mixup
  39. Linear Query Approximation Algorithms for Non-monotone Submodular Maximization under Knapsack Constraint
  40. Explain Any Concept: Segment Anything Meets Concept-Based Explanation
  41. Towards More Robust NLP System Evaluation: Handling Missing Scores in Benchmarks
  42. Chain-of-Symbol Prompting Elicits Planning in Large Langauge Models
  43. Demonstrating Large-Scale Package Manipulation via Learned Metrics of Pick Success
  44. Boosting Local Spectro-Temporal Features for Speech Analysis
  45. State Representation Learning Using an Unbalanced Atlas
  46. Searching for Needles in a Haystack: On the Role of Incidental Bilingualism in PaLM's Translation Capability
  47. M3KE: A Massive Multi-Level Multi-Subject Knowledge Evaluation Benchmark for Chinese Large Language Models
  48. From Region to Patch: Attribute-Aware Foreground-Background Contrastive Learning for Fine-Grained Fashion Retrieval
  49. Runtime Analyses of Multi-Objective Evolutionary Algorithms in the Presence of Noise
  50. Improving Link Prediction in Social Networks Using Local and Global Features: A Clustering-based Approach
  51. SAM for Poultry Science
  52. Sharpness & Shift-Aware Self-Supervised Learning
  53. MemoryBank: Enhancing Large Language Models with Long-Term Memory
  54. Can Deep Network Balance Copy-Move Forgery Detection and Distinguishment?
  55. A quantitative study of NLP approaches to question difficulty estimation
  56. OpenSLU: A Unified, Modularized, and Extensible Toolkit for Spoken Language Understanding
  57. How does Contrastive Learning Organize Images?
  58. Reaching Kesten-Stigum Threshold in the Stochastic Block Model under Node Corruptions
  59. Advancing Unsupervised Low-light Image Enhancement: Noise Estimation, Illumination Interpolation, and Self-Regulation
  60. rWISDM: Repaired WISDM, a Public Dataset for Human Activity Recognition
  61. Separability and Scatteredness (S&S) Ratio-Based Efficient SVM Regularization Parameter, Kernel, and Kernel Parameter Selection
  62. Deep Learning Applications Based on WISE Infrared Data: Classification of Stars, Galaxies and Quasars
  63. CHMMOTv1 -- Cardiac and Hepatic Multi-Echo (T2*) MRI Images and Clinical Dataset for Iron Overload on Thalassemia Patients
  64. A Novel Stochastic LSTM Model Inspired by Quantum Machine Learning
  65. Object Re-Identification from Point Clouds
  66. Shielded Representations: Protecting Sensitive Attributes Through Iterative Gradient-Based Projection
  67. Exploring the Space of Key-Value-Query Models with Intention
  68. Echoes of Biases: How Stigmatizing Language Affects AI Performance
  69. IDO-VFI: Identifying Dynamics via Optical Flow Guidance for Video Frame Interpolation with Events
  70. Deep and Fast Approximate Order Independent Transparency
  71. A Survey on Zero Pronoun Translation
  72. Boosting Distress Support Dialogue Responses with Motivational Interviewing Strategy
  73. Curriculum Learning in Job Shop Scheduling using Reinforcement Learning
  74. Variable-length Neural Interlingua Representations for Zero-shot Neural Machine Translation
  75. Evaluating Dynamic Conditional Quantile Treatment Effects with Applications in Ridesharing
  76. Algorithms for Boolean Matrix Factorization using Integer Programming
  77. Exploring the cloud of feature interaction scores in a Rashomon set
  78. Knowledge-enhanced Mixed-initiative Dialogue System for Emotional Support Conversations
  79. Goal-Conditioned Supervised Learning with Sub-Goal Prediction
  80. Pragmatic Reasoning in Structured Signaling Games
  81. Large Language Models Leverage External Knowledge to Extend Clinical Insight Beyond Language Boundaries
  82. Collective Large-scale Wind Farm Multivariate Power Output Control Based on Hierarchical Communication Multi-Agent Proximal Policy Optimization
  83. Stop Uploading Test Data in Plain Text: Practical Strategies for Mitigating Data Contamination by Evaluation Benchmarks
  84. A Global-Local Approximation Framework for Large-Scale Gaussian Process Modeling
  85. Efficient Error Certification for Physics-Informed Neural Networks
  86. Personality Understanding of Fictional Characters during Book Reading
  87. Cultural evolution via iterated learning and communication explains efficient color naming systems
  88. Multi-Grained Knowledge Retrieval for End-to-End Task-Oriented Dialog
  89. CS-PCN: Context-Space Progressive Collaborative Network for Image Denoising
  90. An Empirical Study on the Language Modal in Visual Question Answering
  91. Additive manifesto decomposition: A policy domain aware method for understanding party positioning
  92. Generation of 3D Molecules in Pockets via Language Model
  93. Automatic 3D Registration of Dental CBCT and Face Scan Data using 2D Projection Images
  94. Fusion-S2iGan: An Efficient and Effective Single-Stage Framework for Speech-to-Image Generation
  95. Principal Uncertainty Quantification with Spatial Correlation for Image Restoration Problems
  96. Empirical Analysis of Oral and Nasal Vowels of Konkani
  97. FICNN: A Framework for the Interpretation of Deep Convolutional Neural Networks
  98. Selective Amnesia: A Continual Learning Approach to Forgetting in Deep Generative Models
  99. Bridging the Gap: Enhancing the Utility of Synthetic Data via Post-Processing Techniques
  100. Can Deep Learning Reliably Recognize Abnormality Patterns on Chest X-rays? A Multi-Reader Study Examining One Month of AI Implementation in Everyday Radiology Clinical Practice
  101. An Ensemble Deep Learning Approach for COVID-19 Severity Prediction Using Chest CT Scans
  102. Automatic Hyperparameter Tuning in Sparse Matrix Factorization
  103. Neuro-Symbolic AI for Compliance Checking of Electrical Control Panels
  104. Adaptive aggregation of Monte Carlo augmented decomposed filters for efficient group-equivariant convolutional neural network
  105. Predicting Tweet Engagement with Graph Neural Networks
  106. Use of a Taxonomy of Empathetic Response Intents to Control and Interpret Empathy in Neural Chatbots
  107. Multi-Agent Reinforcement Learning: Methods, Applications, Visionary Prospects, and Challenges
  108. Semi-supervised Quality Evaluation of Colonoscopy Procedures
  109. CWD30: A Comprehensive and Holistic Dataset for Crop Weed Recognition in Precision Agriculture
  110. Imbalanced Aircraft Data Anomaly Detection
  111. Face Recognition Using Synthetic Face Data
  112. Dynamic Structural Brain Network Construction by Hierarchical Prototype Embedding GCN using T1-MRI
  113. Cold PAWS: Unsupervised class discovery and addressing the cold-start problem for semi-supervised learning
  114. Unveiling the Potential of Counterfactuals Explanations in Employability
  115. Rethinking Boundary Discontinuity Problem for Oriented Object Detection
  116. XAI for Self-supervised Clustering of Wireless Spectrum Activity
  117. A hybrid feature learning approach based on convolutional kernels for ATM fault prediction using event-log data
  118. Physics-driven machine learning for the prediction of coronal mass ejections' travel times
  119. Finding an ε-close Variation of Parameters in Bayesian Networks
  120. The Impact of Missing Data on Causal Discovery: A Multicentric Clinical Study
  121. TG-VQA: Ternary Game of Video Question Answering
  122. Two-Stream Regression Network for Dental Implant Position Prediction
  123. Optimal Weighted Random Forests
  124. Risk Assessment of Lymph Node Metastases in Endometrial Cancer Patients: A Causal Approach
  125. SHoP: A Deep Learning Framework for Solving High-order Partial Differential Equations
  126. A Survey on Causal Discovery: Theory and Practice
  127. TextSLAM: Visual SLAM with Semantic Planar Text Features
  128. Colonoscopy Coverage Revisited: Identifying Scanning Gaps in Real-Time
  129. An efficient solver for ASP(Q)
  130. Transfer Learning for Fine-grained Classification Using Semi-supervised Learning and Visual Transformers
  131. Utility Theory of Synthetic Data Generation
  132. A Survey on Multi-Objective based Parameter Optimization for Deep Learning
  133. When Gradient Descent Meets Derivative-Free Optimization: A Match Made in Black-Box Scenario
  134. EfficientSCI: Densely Connected Network with Space-time Factorization for Large-scale Video Snapshot Compressive Imaging
  135. An Interactively Reinforced Paradigm for Joint Infrared-Visible Image Fusion and Saliency Object Detection
  136. Restoring Images Captured in Arbitrary Hybrid Adverse Weather Conditions in One Go
  137. BASEN: Time-Domain Brain-Assisted Speech Enhancement Network with Convolutional Cross Attention in Multi-talker Conditions
  138. A Fusion Model: Towards a Virtual, Physical and Cognitive Integration and its Principles
  139. Dual Semantic Knowledge Composed Multimodal Dialog Systems
  140. A robust multi-domain network for short-scanning amyloid PET reconstruction
  141. S3Track: Self-supervised Tracking with Soft Assignment Flow
  142. Stochastic Ratios Tracking Algorithm for Large Scale Machine Learning Problems
  143. Smart Word Suggestions for Writing Assistance
  144. River of No Return: Graph Percolation Embeddings for Efficient Knowledge Graph Reasoning
  145. Real-Time Flying Object Detection with YOLOv8
  146. Variable Length Embeddings
  147. SIGMA: An Efficient Heterophilous Graph Neural Network with Fast Global Aggregation
  148. Quantum neural networks form Gaussian processes
  149. The Adversarial Consistency of Surrogate Risks for Binary Classification
  150. Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in Specialized Language Models
  151. HICO-DET-SG and V-COCO-SG: New Data Splits for Evaluating the Systematic Generalization Performance of Human-Object Interaction Detection Models
  152. Understanding the Initial Condensation of Convolutional Neural Networks
  153. AdaMSS: Adaptive Multi-Modality Segmentation-to-Survival Learning for Survival Outcome Prediction from PET/CT Images
  154. Pittsburgh Learning Classifier Systems for Explainable Reinforcement Learning: Comparing with XCS
  155. Demonstration-free Autonomous Reinforcement Learning via Implicit and Bidirectional Curriculum
  156. "I'm fully who I am": Towards Centering Transgender and Non-Binary Voices to Measure Biases in Open Language Generation
  157. Mastering Long-Tail Complexity on Graphs: Characterization, Learning, and Generalization
  158. Mitigating Group Bias in Federated Learning: Beyond Local Fairness
  159. Model-based Validation as Probabilistic Inference
  160. Tinto: Multisensor Benchmark for 3D Hyperspectral Point Cloud Segmentation in the Geosciences
  161. CageViT: Convolutional Activation Guided Efficient Vision Transformer
  162. A Genetic Fuzzy System for Interpretable and Parsimonious Reinforcement Learning Policies
  163. Assessing the Impact of Context Inference Error and Partial Observability on RL Methods for Just-In-Time Adaptive Interventions
  164. Incremental Outlier Detection Modelling Using Streaming Analytics in Finance & Health Care
  165. On the ISS Property of the Gradient Flow for Single Hidden-Layer Neural Networks with Linear Activations
  166. Privacy Loss of Noisy Stochastic Gradient Descent Might Converge Even for Non-Convex Losses
  167. Efficient Equivariant Transfer Learning from Pretrained Models
  168. Balancing Lexical and Semantic Quality in Abstractive Summarization
  169. Complementary Classifier Induced Partial Label Learning
  170. Convergence and Privacy of Decentralized Nonconvex Optimization with Gradient Clipping and Communication Compression
  171. Integrating Multiple Sources Knowledge for Class Asymmetry Domain Adaptation Segmentation of Remote Sensing Images
  172. Clustering-Aware Negative Sampling for Unsupervised Sentence Representation
  173. SS-BSN: Attentive Blind-Spot Network for Self-Supervised Denoising with Nonlocal Self-Similarity
  174. Simplifying Distributed Neural Network Training on Massive Graphs: Randomized Partitions Improve Model Aggregation
  175. A survey of the Vision Transformers and their CNN-Transformer based Variants
  176. Semantic Similarity Measure of Natural Language Text through Machine Learning and a Keyword-Aware Cross-Encoder-Ranking Summarizer -- A Case Study Using UCGIS GIS&T Body of Knowledge
  177. Generative Model-based Simulation of Driver Behavior when Using Control Input Interface for Teleoperated Driving in Unstructured Canyon Terrains
  178. A Signed Subgraph Encoding Approach via Linear Optimization for Link Sign Prediction
  179. The Principle of Uncertain Maximum Entropy
  180. The Jaseci Programming Paradigm and Runtime Stack: Building Scale-out Production Applications Easy and Fast
  181. Explaining black box text modules in natural language with language models
  182. Epsilon Sampling Rocks: Investigating Sampling Strategies for Minimum Bayes Risk Decoding for Machine Translation
  183. Smaller Language Models are Better Black-box Machine-Generated Text Detectors
  184. Knowledge Graph Completion Models are Few-shot Learners: An Empirical Study of Relation Labeling in E-commerce with LLMs
  185. CoEdIT: Text Editing by Task-Specific Instruction Tuning