mlsanityData to 7 Oct 2026

Papers

New on arXiv

Fri 13 Oct 2023

220 papers

  1. Generative Skill Chaining: Long-Horizon Skill Planning with Diffusion ModelsDiffusion models → Diffusion and flow policies for robotics
  2. CopyScope: Model-level Copyright Infringement Quantification in the Diffusion WorkflowDiffusion models → Robustness, privacy and adversarial aspects
  3. Progressively Efficient LearningOffline RL and imitation learning from data → Imitation learning methods
  4. Assessing and Enhancing the Robustness of Large Language Models with Task Structure Variations for Logical ReasoningLLM reasoning → Reasoning benchmarks and evaluation
  5. Offline Reinforcement Learning for Optimizing Production Bidding PoliciesOffline RL and imitation learning from data → Decision transformers and sequence modeling
  6. Integrating Symbolic Reasoning into Neural Generative Models for Design GenerationLLM reasoning → Multimodal reasoning
  7. Bad Values but Good Behavior: Learning Highly Misspecified Bandits and MDPsLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  8. Dialogue Chain-of-Thought Distillation for Commonsense-aware Conversational AgentsLLM reasoning → Reasoning benchmarks and evaluation +1
  9. Compositional Abilities Emerge Multiplicatively: Exploring Diffusion Models on a Synthetic TaskDiffusion models → Diffusion foundations and sampling
  10. GENOT: Entropic (Gromov) Wasserstein Flow Matching with Applications to Single-Cell GenomicsDiffusion models → Flow matching, time series and science
  11. Hypernymy Understanding Evaluation of Text-to-Image Models via WordNet HierarchyDiffusion models → Image generation, text-to-image and editing
  12. AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender SystemsLLM agents and tool use → Agentic recommender systems
  13. A Sampling-Based Domain Generalization Study with Diffusion Generative ModelsDiffusion models → Diffusion foundations and sampling
  14. PaLI-3 Vision Language Models: Smaller, Faster, StrongerMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  15. GLoRE: Evaluating Logical Reasoning of Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
  16. MM-BigBench: Evaluating Multimodal Models on Multimodal Content Comprehension TasksMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  17. Towards Example-Based NMT with Multi-Levenshtein TransformersRetrieval-augmented generation → Generation and context integration
  18. EasyGen: Easing Multimodal Generation with BiDiffuser and LLMsDiffusion models → Image generation, text-to-image and editing
  19. Embarrassingly Simple Text WatermarksLLM safety and security → Watermarking generated content and models
  20. Interactive Navigation in Environments with Traversable Obstacles Using Large Language and Vision-Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  21. R&B: Region and Boundary Aware Zero-shot Grounded Text-to-image GenerationDiffusion models → Image generation, text-to-image and editing
  22. Leveraging Optimal Transport for Enhanced Offline Reinforcement Learning in Surgical Robotic EnvironmentsOffline RL and imitation learning from data → Offline RL algorithms
  23. Static Code Analysis in the AI Era: An In-depth Exploration of the Concept, Function, and Potential of Intelligent Code Analysis AgentsLLM agents and tool use → Software engineering coding agents
  24. From CLIP to DINO: Visual Encoders Shout in Multi-modal Large Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  25. Distance-rank Aware Sequential Reward Learning for Inverse Reinforcement Learning with Sub-optimal DemonstrationsOffline RL and imitation learning from data → Inverse reinforcement learning
  26. DDMT: Denoising Diffusion Mask Transformer Models for Multivariate Time Series Anomaly DetectionDiffusion models → Flow matching, time series and science
  27. Towards Autonomous Supply Chains: Definition, Characteristics, Conceptual Framework, and Autonomy Levels
  28. Potential of ChatGPT in predicting stock market trends based on Twitter Sentiment Analysis
  29. Using Adaptive Bandit Experiments to Increase and Investigate Engagement in Mental Health
  30. Impact of Guidance and Interaction Strategies for LLM Use on Learner Performance and Perception
  31. BaitBuster-Bangla: A Comprehensive Dataset for Clickbait Detection in Bangla with Multi-Feature and Multi-Modal Analysis
  32. A ML-LLM pairing for better code comment classification
  33. Pairwise Similarity Learning is SimPLE
  34. Automatic segmentation of lung findings in CT and application to Long COVID
  35. Tackling Heterogeneity in Medical Federated learning via Vision Transformers
  36. G10: Enabling An Efficient Unified GPU Memory and Storage Architecture with Smart Tensor Migrations
  37. MEMTRACK: A Deep Learning-Based Approach to Microrobot Tracking in Dense and Low-Contrast Environments
  38. Target Variable Engineering
  39. Signal reconstruction using determinantal sampling
  40. Sub-network Discovery and Soft-masking for Continual Learning of Mixed Tasks
  41. Learning nonlinear integral operators via Recurrent Neural Networks and its application in solving Integro-Differential Equations
  42. Effects of cavity nonlinearities and linear losses on silicon microring-based reservoir computing
  43. Enhancing BERT-Based Visual Question Answering through Keyword-Driven Sentence Selection
  44. SALM: Speech-augmented Language Model with In-context Learning for Speech Recognition and Translation
  45. ZeroSwap: Data-driven Optimal Market Making in DeFi
  46. Hybrid Reinforcement Learning for Optimizing Pump Sustainability in Real-World Water Distribution Networks
  47. Surveying the Landscape of Text Summarization with Deep Learning: A Comprehensive Review
  48. CROWN: A Novel Approach to Comprehending Users' Preferences for Accurate Personalized News Recommendation
  49. Identifiability of Product of Experts Models
  50. Semantics Alignment via Split Learning for Resilient Multi-User Semantic Communication
  51. Machine Learning Estimation of Maximum Vertical Velocity from Radar
  52. CORN: Co-Trained Full- And No-Reference Speech Quality Assessment
  53. LL-VQ-VAE: Learnable Lattice Vector-Quantization For Efficient Representations
  54. Identifying and examining machine learning biases on Adult dataset
  55. Near-optimal Differentially Private Client Selection in Federated Settings
  56. From Words and Exercises to Wellness: Farsi Chatbot for Self-Attachment Technique
  57. Is Certifying ℓp Robustness Still Worthwhile?
  58. Exact Verification of ReLU Neural Control Barrier Functions
  59. A Computational Approach to Style in American Poetry
  60. Unsupervised Domain Adaption for Neural Information Retrieval
  61. Efficient Apple Maturity and Damage Assessment: A Lightweight Detection Model with GAN and Attention Mechanism
  62. Ranking LLM-Generated Loop Invariants for Program Verification
  63. Uncertainty Quantification using Generative Approach
  64. The surrogate Gibbs-posterior of a corrected stochastic MALA: Towards uncertainty quantification for neural networks
  65. Topological Data Analysis in smart manufacturing: State of the art and futuredirections
  66. Vision-by-Language for Training-Free Compositional Image Retrieval
  67. An Unbiased Look at Datasets for Visuo-Motor Pre-Training
  68. SAIR: Learning Semantic-aware Implicit Representation
  69. Disentangled Latent Spaces Facilitate Data-Driven Auxiliary Learning
  70. A Hybrid Approach for Depression Classification: Random Forest-ANN Ensemble on Motor Activity Signals
  71. Transformer-based Multimodal Change Detection with Multitask Consistency Constraints
  72. Understanding and Modeling the Effects of Task and Context on Drivers' Gaze Allocation
  73. Retro-fallback: retrosynthetic planning in an uncertain world
  74. Genetic algorithms are strong baselines for molecule generation
  75. User Inference Attacks on Large Language Models
  76. PromptRE: Weakly-Supervised Document-Level Relation Extraction via Prompting-Based Data Programming
  77. Table-GPT: Table-tuned GPT for Diverse Table Tasks
  78. QUIK: Towards End-to-End 4-Bit Inference on Generative Large Language Models
  79. Political claim identification and categorization in a multilingual setting: First experiments
  80. It's an Alignment, Not a Trade-off: Revisiting Bias and Variance in Deep Models
  81. Augmented Computational Design: Methodical Application of Artificial Intelligence in Generative Design
  82. Precedent-Enhanced Legal Judgment Prediction with LLM and Domain-Model Collaboration
  83. BanglaNLP at BLP-2023 Task 2: Benchmarking different Transformer Models for Sentiment Analysis of Bangla Social Media Posts
  84. Evaluating Machine Perception of Indigeneity: An Analysis of ChatGPT's Perceptions of Indigenous Roles in Diverse Scenarios
  85. Time CNN and Graph Convolution Network for Epileptic Spike Detection in MEG Data
  86. ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction
  87. Insuring Smiles: Predicting routine dental coverage using Spark ML
  88. Automated Claim Matching with Large Language Models: Empowering Fact-Checkers in the Fight Against Misinformation
  89. Fast & Efficient Learning of Bayesian Networks from Data: Knowledge Discovery and Causality
  90. Ultrasound Image Segmentation of Thyroid Nodule via Latent Semantic Feature Co-Registration
  91. "Kelly is a Warm Person, Joseph is a Role Model": Gender Biases in LLM-Generated Reference Letters
  92. Multinational AGI Consortium (MAGIC): A Proposal for International Coordination on AI
  93. Regularization-Based Methods for Ordinal Quantification
  94. SiamAF: Learning Shared Information from ECG and PPG Signals for Robust Atrial Fibrillation Detection
  95. Graph Distillation with Eigenbasis Matching
  96. A 4-approximation algorithm for min max correlation clustering
  97. Variational autoencoder with weighted samples for high-dimensional non-parametric adaptive importance sampling
  98. Tikuna: An Ethereum Blockchain Network Security Monitoring System
  99. Does Graph Distillation See Like Vision Dataset Counterpart?
  100. PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning
All 220
  1. mnmDTW: An extension to Dynamic Time Warping for Camera-based Movement Error Localization
  2. Explore-Instruct: Enhancing Domain-Specific Instruction Coverage through Active Exploration
  3. A Deep Neural Network -- Mechanistic Hybrid Model to Predict Pharmacokinetics in Rat
  4. Developing a Natural Language Understanding Model to Characterize Cable News Bias
  5. Jointly-Learned Exit and Inference for a Dynamic Neural Network : JEI-DNN
  6. Quantum Machine Learning in Climate Change and Sustainability: a Review
  7. Improving Large Language Models in Event Relation Logical Prediction
  8. The Computational Complexity of Finding Stationary Points in Non-Convex Optimization
  9. BibRank: Automatic Keyphrase Extraction Platform Using~Metadata
  10. Structured Approximations of Measures
  11. Exploring Sparse Spatial Relation in Graph Inference for Text-Based VQA
  12. Lincoln AI Computing Survey (LAICS) Update
  13. Goodhart's Law in Reinforcement Learning
  14. PuoBERTa: Training and evaluation of a curated language model for Setswana
  15. The Consensus Game: Language Model Generation via Equilibrium Search
  16. HierarchicalContrast: A Coarse-to-Fine Contrastive Learning Framework for Cross-Domain Zero-Shot Slot Filling
  17. Split-and-Denoise: Protect large language model inference with local differential privacy
  18. Computing Marginal and Conditional Divergences between Decomposable Models with Applications
  19. On Generalization Bounds for Projective Clustering
  20. Learning Physics-Informed Noise Models from Dark Frames for Low-Light Raw Image Denoising
  21. Training and Predicting Visual Error for Real-Time Applications
  22. Automatic Music Playlist Generation via Simulation-based Reinforcement Learning
  23. Equirectangular image construction method for standard CNNs for Semantic Segmentation
  24. A Frustratingly Easy Plug-and-Play Detection-and-Reasoning Module for Chinese Spelling Check
  25. DSG: An End-to-End Document Structure Generator
  26. Timestamp-supervised Wearable-based Activity Segmentation and Recognition with Contrastive Learning and Order-Preserving Optimal Transport
  27. Privacy-Preserving Encrypted Low-Dose CT Denoising
  28. Vision Transformers increase efficiency of 3D cardiac CT multi-label segmentation
  29. iPUNet:Iterative Cross Field Guided Point Cloud Upsampling
  30. Insightful analysis of historical sources at scales beyond human capabilities using unsupervised Machine Learning and XAI
  31. Qilin-Med: Multi-stage Knowledge Injection Advanced Medical Large Language Model
  32. Dialect Transfer for Swiss German Speech Translation
  33. Online Relocating and Matching of Ride-Hailing Services: A Model-Based Modular Approach
  34. ImageManip: Image-based Robotic Manipulation with Affordance-guided Next View Selection
  35. pose-format: Library for Viewing, Augmenting, and Handling .pose Files
  36. DATT: Deep Adaptive Trajectory Tracking for Quadrotor Control
  37. SAI: Solving AI Tasks with Systematic Artificial Intelligence in Communication Network
  38. KCTS: Knowledge-Constrained Tree Search Decoding with Token-Level Hallucination Detection
  39. Optimal Scheduling of Electric Vehicle Charging with Deep Reinforcement Learning considering End Users Flexibility
  40. MINDE: Mutual Information Neural Diffusion Estimation
  41. Subspace Adaptation Prior for Few-Shot Learning
  42. Dont Add, dont Miss: Effective Content Preserving Generation from Pre-Selected Text Spans
  43. A Spatial-Temporal Dual-Mode Mixed Flow Network for Panoramic Video Salient Object Detection
  44. Federated Meta-Learning for Few-Shot Fault Diagnosis with Representation Encoding
  45. Measuring the Stability of Process Outcome Predictions in Online Settings
  46. CodeChain: Towards Modular Code Generation Through Chain of Self-revisions with Representative Sub-modules
  47. Reroute Prediction Service
  48. VCL Challenges 2023 at ICCV 2023 Technical Report: Bi-level Adaptation Method for Test-time Adaptive Object Detection
  49. UniParser: Multi-Human Parsing with Unified Correlation Representation Learning
  50. Big data-driven prediction of airspace congestion
  51. Multi-Purpose NLP Chatbot : Design, Methodology & Conclusion
  52. ChatKBQA: A Generate-then-Retrieve Framework for Knowledge Base Question Answering with Fine-tuned Large Language Models
  53. PAGE: Equilibrate Personalization and Generalization in Federated Learning
  54. xDial-Eval: A Multilingual Open-Domain Dialogue Evaluation Benchmark
  55. LRRU: Long-short Range Recurrent Updating Networks for Depth Completion
  56. Textual Analysis of ICALEPCS and IPAC Conference Proceedings: Revealing Research Trends, Topics, and Collaborations for Future Insights and Advanced Search
  57. Federated Class-Incremental Learning with Prompting
  58. A Confidence-based Acquisition Model for Self-supervised Active Learning and Label Correction
  59. Multi-level Adaptive Contrastive Learning for Knowledge Internalization in Dialogue Generation
  60. Fast Screening Rules for Optimal Design via Quadratic Lasso Reformulation
  61. Online Adaptive Disparity Estimation for Dynamic Scenes in Structured Light Systems
  62. TIDE: Temporally Incremental Disparity Estimation via Pattern Flow in Structured Light System
  63. Leveraging Image Augmentation for Object Manipulation: Towards Interpretable Controllability in Object-Centric Learning
  64. SIDE: Self-supervised Intermediate Domain Exploration for Source-free Domain Adaptation
  65. Towards Informative Few-Shot Prompt with Maximum Information Gain for In-Context Learning
  66. LLaMA Rider: Spurring Large Language Models to Explore the Open World
  67. Feature Proliferation -- the "Cancer" in StyleGAN and its Treatments
  68. Relation-aware Ensemble Learning for Knowledge Graph Embedding
  69. Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLMs
  70. Scalarization for Multi-Task and Multi-Domain Learning at Scale
  71. Evading Community Detection via Counterfactual Neighborhood Search
  72. Human-in-the-loop Machine Translation with Large Language Model
  73. 3D Understanding of Deformable Linear Objects: Datasets and Transferability Benchmark
  74. SeqXGPT: Sentence-Level AI-Generated Text Detection
  75. Welfare Diplomacy: Benchmarking Language Model Cooperation
  76. Exploration with Principles for Diverse AI Supervision
  77. Self supervised convolutional kernel based handcrafted feature harmonization: Enhanced left ventricle hypertension disease phenotyping on echocardiography
  78. Image Cropping under Design Constraints
  79. EHI: End-to-end Learning of Hierarchical Index for Efficient Dense Retrieval
  80. PerturbScore: Connecting Discrete and Continuous Perturbations in NLP
  81. A Hybrid Transfer Learning Assisted Decision Support System for Accurate Prediction of Alzheimer Disease
  82. METRA: Scalable Unsupervised RL with Metric-Aware Abstraction
  83. InstructTODS: Large Language Models for End-to-End Task-Oriented Dialogue Systems
  84. Extending Multi-modal Contrastive Representations
  85. Retrieval-Generation Alignment for End-to-End Task-Oriented Dialogue System
  86. Gesture Recognition for FMCW Radar on the Edge
  87. A Survey of Methods for Handling Disk Data Imbalance
  88. Adaptivity and Modularity for Efficient Generalization Over Task Complexity
  89. In-Context Learning for Few-Shot Molecular Property Prediction
  90. Re-initialization-free Level Set Method via Molecular Beam Epitaxy Equation Regularization for Image Segmentation
  91. Guiding AMR Parsing with Reverse Graph Linearization
  92. Adam-family Methods with Decoupled Weight Decay in Deep Learning
  93. Overcoming Recency Bias of Normalization Statistics in Continual Learning: Balance and Adaptation
  94. Rank-DETR for High Quality Object Detection
  95. Path To Gain Functional Transparency In Artificial Intelligence With Meaningful Explainability
  96. Semi-Supervised End-To-End Contrastive Learning For Time Series Classification
  97. On the Over-Memorization During Natural, Robust and Catastrophic Overfitting
  98. A Case-Based Persistent Memory for a Large Language Model
  99. Large Language Models as Source Planner for Personalized Knowledge-grounded Dialogue
  100. A Framework for Few-Shot Policy Transfer through Observation Mapping and Behavior Cloning
  101. Optimal Sample Complexity for Average Reward Markov Decision Processes
  102. Urban Drone Navigation: Autoencoder Learning Fusion for Aerodynamics
  103. Revisiting Multi-modal 3D Semantic Segmentation in Real-world Autonomous Driving
  104. Confounding-Robust Policy Improvement with Human-AI Teams
  105. Learning to Adapt SAM for Segmenting Cross-domain Point Clouds
  106. Exploring the relationship between response time sequence in scale answering process and severity of insomnia: a machine learning approach
  107. Incremental Object Detection with CLIP
  108. A novel decomposed-ensemble time series forecasting framework: capturing underlying volatility information
  109. DexCatch: Learning to Catch Arbitrary Objects with Dexterous Hands
  110. Two-Stage Deep Learning Framework for Quality Assessment of Left Atrial Late Gadolinium Enhanced MRI Images
  111. Advancing Perception in Artificial Intelligence through Principles of Cognitive Science
  112. Alteration Detection of Tensor Dependence Structure via Sparsity-Exploited Reranking Algorithm
  113. A Comparative Analysis of Task-Agnostic Distillation Methods for Compressing Transformer Language Models
  114. End-to-end Story Plot Generator
  115. Mitigating Bias for Question Answering Models by Tracking Bias Influence
  116. Analysis of Weather and Time Features in Machine Learning-aided ERCOT Load Forecasting
  117. Incentive Mechanism Design for Distributed Ensemble Learning
  118. Price of Stability in Quality-Aware Federated Learning
  119. Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning
  120. "Im not Racist but...": Discovering Bias in the Internal Knowledge of Large Language Models