mlsanityData to 14 Oct 2026

Papers

New on arXiv

Fri 3 May 2024

216 papers

  1. Semantic Objective Functions: A distribution-aware method for adding logical constraints in deep learningKnowledge distillation → General knowledge distillation methods
  2. Mothman at SemEval-2024 Task 9: An Iterative System for Chain-of-Thought Prompt OptimizationLLM reasoning → Prompting and chain-of-thought reasoning
  3. Proximal Curriculum with Task Correlations for Deep Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
  4. Natural Policy Gradient and Actor Critic Methods for Constrained Multi-Task Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
  5. Learning Robot Soccer from Egocentric Vision with Deep Reinforcement LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
  6. CogDPM: Diffusion Probabilistic Models via Cognitive Predictive CodingDiffusion models → Flow matching, time series and science
  7. ModelShield: Adaptive and Robust Watermark against Model Extraction AttackLLM safety and security → Watermarking generated content and models
  8. CodeGRAG: Bridging the Gap between Natural Language and Programming Language via Graphical Retrieval Augmented GenerationRetrieval-augmented generation → RAG for code
  9. Vibe-Eval: A hard evaluation suite for measuring progress of multimodal language modelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  10. On the test-time zero-shot generalization of vision-language models: Do we really need prompt learning?Multimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  11. What matters when building vision-language models?Multimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  12. Towards Improving Learning from Demonstration Algorithms via MCMC MethodsOffline RL and imitation learning from data → Robot learning from demonstration
  13. Learning Optimal Deterministic Policies with Stochastic Policy GradientsDeep reinforcement learning methods → RL theory and sample complexity
  14. Abstention vs. Hallucination: Benchmarking LLM Source Attribution for Scientific CitationsRetrieval-augmented generation → RAG robustness and adaptive retrieval
  15. Regularized Q-learning through Robust AveragingDeep reinforcement learning methods → RL theory and sample complexity
  16. Imitation Learning in Discounted Linear MDPs without exploration assumptionsOffline RL and imitation learning from data → Imitation learning methods
  17. Simulating the Economic Impact of Rationality through Reinforcement Learning and Agent-Based ModellingDeep reinforcement learning methods → Adversarial robustness and RL in finance
  18. Advancing Pre-trained Teacher: Towards Robust Feature Discrepancy for Anomaly DetectionKnowledge distillation → Detection and dense prediction distillation
  19. Zero-Sum Positional Differential Games as a Framework for Robust Reinforcement Learning: Deep Q-Learning ApproachDeep reinforcement learning methods → RL theory and sample complexity
  20. DiffMap: Enhancing Map Segmentation with Map Prior Using Diffusion ModelDiffusion models → Medical imaging and segmentation
  21. Auto-Encoding Morph-Tokens for Multimodal LLMMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  22. Aloe: A Family of Fine-tuned Open Healthcare LLMsLLM safety and security → Safety alignment, refusal and guardrails
  23. Defect Image Sample Generation With Diffusion Prior for Steel Surface Defect RecognitionDiffusion models → Flow matching, time series and science
  24. Closing the Gap: Achieving Global Convergence (Last Iterate) of Actor-Critic under Markovian Sampling with Neural Network ParametrizationDeep reinforcement learning methods → RL theory and sample complexity
  25. A Novel Approach to Guard from Adversarial Attacks using Stable DiffusionDiffusion models → Robustness, privacy and adversarial aspects
  26. FER-YOLO-Mamba: Facial Expression Detection and Classification Based on Selective State SpaceState-space sequence models (S4, Mamba) → Speech and audio SSMs
  27. Creation of Novel Soft Robot Designs using Generative AIDiffusion models → Diffusion and flow policies for robotics
  28. Towards An Online Incremental Approach to Predict Students Performance
  29. A Manifesto for a Pro-Actively Responsible AI in Education
  30. Reliable Interval Prediction of Minimum Operating Voltage Based on On-chip Monitors via Conformalized Quantile Regression
  31. Combining X-Vectors and Bayesian Batch Active Learning: Two-Stage Active Learning Pipeline for Speech Recognition
  32. Towards Fairness in Provably Communication-Efficient Federated Recommender Systems
  33. Reservoir Computing with Generalized Readout based on Generalized Synchronization
  34. Using In-Service Train Vibration for Detecting Railway Maintenance Needs
  35. Liouville Flow Importance Sampler
  36. Parameter-Efficient Instruction Tuning of Large Language Models For Extreme Financial Numeral Labelling
  37. TLINet: Differentiable Neural Network Temporal Logic Inference
  38. Instruction-Guided Bullet Point Summarization of Long Financial Earnings Call Transcripts
  39. Exposing and Explaining Fake News On-the-Fly
  40. Sentiment Polarity Analysis of Bangla Food Reviews Using Machine and Deep Learning Algorithms
  41. An Attention-Based Deep Generative Model for Anomaly Detection in Industrial Control Systems
  42. Exploring Speech Pattern Disorders in Autism using Machine Learning
  43. Learning label-label correlations in Extreme Multi-label Classification via Label Features
  44. Automating the Enterprise with Foundation Models
  45. ScenicNL: Generating Probabilistic Scenario Programs from Natural Language
  46. Delta Tensor: Efficient Vector and Tensor Storage in Delta Lake
  47. Improving Graph Machine Learning Performance Through Feature Augmentation Based on Network Control Theory
  48. New contexts, old heuristics: How young people in India and the US trust online content in the age of generative AI
  49. SR4ZCT: Self-supervised Through-plane Resolution Enhancement for CT Images with Arbitrary Resolution and Overlap
  50. SatSwinMAE: Efficient Autoencoding for Multiscale Time-series Satellite Imagery
  51. Implicit Neural Representations for Robust Joint Sparse-View CT Reconstruction
  52. Rasterized Edge Gradients: Handling Discontinuities Differentiably
  53. Functional Imaging Constrained Diffusion for Brain PET Synthesis from Structural MRI
  54. PICLe: Eliciting Diverse Behaviors from Large Language Models with Persona In-Context Learning
  55. Prediction techniques for dynamic imaging with online primal-dual methods
  56. Modeling Sampling Distributions of Test Statistics with Autograd
  57. A Survey of Few-Shot Learning for Biomedical Time Series
  58. A Network Simulation of OTC Markets with Multiple Agents
  59. Continuous Learned Primal Dual
  60. Generalizing Orthogonalization for Models with Non-Linearities
  61. Semantic Scaling: Bayesian Ideal Point Estimates with Large Language Models
  62. ProFLingo: A Fingerprinting-based Intellectual Property Protection Scheme for Large Language Models
  63. Knowledge Graph Extension by Entity Type Recognition
  64. Controlled Query Evaluation through Epistemic Dependencies
  65. What is Sentiment Meant to Mean to Language Models?
  66. Quality-Weighted Vendi Scores And Their Application To Diverse Experimental Design
  67. Learning minimal volume uncertainty ellipsoids
  68. FastLloyd: Federated, Accurate, Secure, and Tunable k-Means Clustering with Differential Privacy
  69. CALRec: Contrastive Alignment of Generative LLMs for Sequential Recommendation
  70. What does the Knowledge Neuron Thesis Have to do with Knowledge?
  71. A Unified Framework for Human-Allied Learning of Probabilistic Circuits
  72. Deep Learning and Transfer Learning Architectures for English Premier League Player Performance Forecasting
  73. The Call for Socially Aware Language Technologies
  74. Rip-NeRF: Anti-aliasing Radiance Fields with Ripmap-Encoded Platonic Solids
  75. Efficient Deep Learning with Decorrelated Backpropagation
  76. A Fresh Look at Sanity Checks for Saliency Maps
  77. Robustness of Decentralised Learning to Nodes and Data Disruption
  78. The Sparse Tsetlin Machine: Sparse Representation with Active Literals
  79. Protein binding affinity prediction under multiple substitutions applying eGNNs on Residue and Atomic graphs combined with Language model information: eGRAL
  80. Exponentially Weighted Algorithm for Online Network Resource Allocation with Long-Term Constraints
  81. Triadic-OCD: Asynchronous Online Change Detection with Provable Robustness, Optimality, and Convergence
  82. Architecture of a Cortex Inspired Hierarchical Event Recaller
  83. Neuromorphic Correlates of Artificial Consciousness
  84. No One-Size-Fits-All Neurons: Task-based Neurons for Artificial Neural Networks
  85. Enhancing Social Media Post Popularity Prediction with Visual Content
  86. Bayesian and Convolutional Networks for Hierarchical Morphological Classification of Galaxies
  87. A Survey on Contribution Evaluation in Vertical Federated Learning
  88. LLM as Dataset Analyst: Subpopulation Structure Discovery with Large Language Model
  89. Holistic Evaluation Metrics: Use Case Sensitive Evaluation Metrics for Federated Learning
  90. CVTGAD: Simplified Transformer with Cross-View Attention for Unsupervised Graph-level Anomaly Detection
  91. Empowering Time Series Analysis with Foundation Models: A Comprehensive Survey
  92. Large Language Models for Mobility Analysis in Transportation Systems: A Survey on Forecasting Tasks
  93. Stochastic Multivariate Universal-Radix Finite-State Machine: a Theoretically and Practically Elegant Nonlinear Function Approximator
  94. Heterogeneous network and graph attention auto-encoder for LncRNA-disease association prediction
  95. DreamScene4D: Dynamic Multi-Object Scene Generation from Monocular Videos
  96. Structural Pruning of Pre-trained Language Models via Neural Architecture Search
  97. Subgraph2vec: A random walk-based algorithm for embedding knowledge graphs
  98. Fair Risk Control: A Generalized Framework for Calibrating Multi-group Fairness Risks
  99. Discretization Error of Fourier Neural Operators
  100. Designed Dithering Sign Activation for Binary Neural Networks
All 216
  1. A Normative Framework for Benchmarking Consumer Fairness in Large Language Model Recommender System
  2. Multispectral Fine-Grained Classification of Blackgrass in Wheat and Barley Crops
  3. Automatic Programming: Large Language Models and Beyond
  4. Position: Why We Must Rethink Empirical Research in Machine Learning
  5. Impact of emoji exclusion on the performance of Arabic sarcasm detection models
  6. Non-Destructive Peat Analysis using Hyperspectral Imaging and Machine Learning
  7. Optimistic Regret Bounds for Online Learning in Adversarial Markov Decision Processes
  8. Metalearners for Ranking Treatment Effects
  9. A Flow-Based Model for Conditional and Probabilistic Electricity Consumption Profile Generation and Prediction
  10. Training-Free Deepfake Voice Recognition by Leveraging Large-Scale Pre-Trained Models
  11. Assessing and Verifying Task Utility in LLM-Powered Applications
  12. Hoaxpedia: A Unified Wikipedia Hoax Articles Dataset
  13. Self-Supervised Learning for Real-World Super-Resolution from Dual and Multiple Zoomed Observations
  14. EEG2TEXT: Open Vocabulary EEG-to-Text Decoding with EEG Pre-Training and Multi-View Transformer
  15. Mapping the Unseen: Unified Promptable Panoptic Mapping with Dynamic Labeling using Foundation Models
  16. Multi-method Integration with Confidence-based Weighting for Zero-shot Image Classification
  17. Neural Context Flows for Meta-Learning of Dynamical Systems
  18. GMP-TL: Gender-augmented Multi-scale Pseudo-label Enhanced Transfer Learning for Speech Emotion Recognition
  19. Towards a Formal Creativity Theory: Preliminary results in Novelty and Transformativeness
  20. MedReadMe: A Systematic Study for Fine-grained Sentence Readability in Medical Domain
  21. Multi-Objective Recommendation via Multivariate Policy Learning
  22. An Information Theoretic Perspective on Conformal Prediction
  23. Optimising Calls to Large Language Models with Uncertainty-Based Two-Tier Selection
  24. Unveiling the Potential of LLM-Based ASR on Chinese Open-Source Datasets
  25. Physics-informed generative neural networks for RF propagation prediction with application to indoor body perception
  26. Single and Multi-Hop Question-Answering Datasets for Reticular Chemistry with GPT-4-Turbo
  27. TIPAA-SSL: Text Independent Phone-to-Audio Alignment based on Self-Supervised Learning and Knowledge Transfer
  28. EnvId: A Metric Learning Approach for Forensic Few-Shot Identification of Unseen Environments
  29. Probablistic Restoration with Adaptive Noise Sampling for 3D Human Pose Estimation
  30. Three-Dimensional Amyloid-Beta PET Synthesis from Structural MRI with Conditional Generative Adversarial Networks
  31. Evaluating Large Language Models for Structured Science Summarization in the Open Research Knowledge Graph
  32. Discrete Aware Matrix Completion via Convexized ℓ0-Norm Approximation
  33. Forecasting Ferry Passenger Flow Using Long-Short Term Memory Neural Networks
  34. Advanced Detection of Source Code Clones via an Ensemble of Unsupervised Similarity Measures
  35. Multi-level projection with exponential parallel speedup; Application to sparse auto-encoders neural networks
  36. A fuzzy loss for ontology classification
  37. A comparative study of conformal prediction methods for valid uncertainty quantification in machine learning
  38. A Mutual Information Perspective on Federated Contrastive Learning
  39. Argumentative Large Language Models for Explainable and Contestable Claim Verification
  40. MVP-Shot: Multi-Velocity Progressive-Alignment Framework for Few-Shot Action Recognition
  41. A Federated Learning Benchmark on Tabular Data: Comparing Tree-Based Models and Neural Networks
  42. Histogram-Based Federated XGBoost using Minimal Variance Sampling for Federated Tabular Data
  43. WateRF: Robust Watermarks in Radiance Fields for Protection of Copyrights
  44. Few-sample Variational Inference of Bayesian Neural Networks with Arbitrary Nonlinearities
  45. Dyna-Style Learning with A Macroscopic Model for Vehicle Platooning in Mixed-Autonomy Traffic
  46. Towards general deep-learning-based tree instance segmentation models
  47. Federated Learning for Tabular Data using TabNet: A Vehicular Use-Case
  48. Comparative Analysis of Retrieval Systems in the Real World
  49. Stabilizing Backpropagation Through Time to Learn Complex Physics
  50. Large Multimodal Model based Standardisation of Pathology Reports with Confidence and their Prognostic Significance
  51. Analyzing Narrative Processing in Large Language Models (LLMs): Using GPT4 to test BERT
  52. IFNet: Deep Imaging and Focusing for Handheld SAR with Millimeter-wave Signals
  53. Adversarial Botometer: Adversarial Analysis for Social Bot Detection
  54. The Trade-off between Performance, Efficiency, and Fairness in Adapter Modules for Text Classification
  55. HoloGS: Instant Depth-based 3D Gaussian Splatting with Microsoft HoloLens 2
  56. M2Depth: Self-supervised Two-Frame Multi-camera Metric Depth Estimation
  57. Exploring Combinatorial Problem Solving with Large Language Models: A Case Study on the Travelling Salesman Problem Using GPT-3.5 Turbo
  58. Cooperation and Federation in Distributed Radar Point Cloud Processing
  59. Mathematics of statistical sequential decision-making: concentration, risk-awareness and modelling in stochastic bandits, with applications to bariatric surgery
  60. SFFNet: A Wavelet-Based Spatial and Frequency Domain Fusion Network for Remote Sensing Segmentation
  61. Soft Label PU Learning
  62. Joint sentiment analysis of lyrics and audio in music
  63. A Penalty-Based Guardrail Algorithm for Non-Decreasing Optimization with Inequality Constraints
  64. Model-based reinforcement learning for protein backbone design
  65. Quantifying Distribution Shifts and Uncertainties for Enhanced Model Robustness in Machine Learning Applications
  66. Conformal Prediction for Natural Language Processing: A Survey
  67. Introducing a microstructure-embedded autoencoder approach for reconstructing high-resolution solution field data from a reduced parametric space
  68. Multitask Extension of Geometrically Aligned Transfer Encoder
  69. A quantitative and typological study of Early Slavic participle clauses and their competition
  70. A Sonar-based AUV Positioning System for Underwater Environments with Low Infrastructure Density
  71. Position: Understanding LLMs Requires More Than Statistical Generalization
  72. From Attack to Defense: Insights into Deep Learning Security Measures in Black-Box Settings
  73. Three Quantization Regimes for ReLU Networks
  74. Dependency-Aware Semi-Structured Sparsity of GLU Variants in Large Language Models
  75. CRCL at SemEval-2024 Task 2: Simple prompt optimizations
  76. An Attention Based Pipeline for Identifying Pre-Cancer Lesions in Head and Neck Clinical Images
  77. Impact of Architectural Modifications on Deep Learning Adversarial Robustness
  78. OARelatedWork: A Large-Scale Dataset of Related Work Sections with Full-texts from Open Access Sources
  79. SlotGAT: Slot-based Message Passing for Heterogeneous Graph Neural Network
  80. Semi-Parametric Retrieval via Binary Bag-of-Tokens Index
  81. Lightweight Change Detection in Heterogeneous Remote Sensing Images with Online All-Integer Pruning Training
  82. A Full Adagrad algorithm with O(Nd) operations
  83. Instance-Conditioned Adaptation for Large-scale Generalization of Neural Routing Solver
  84. Enhancing Micro Gesture Recognition for Emotion Understanding via Context-aware Visual-Text Contrastive Learning
  85. Beyond Single-Event Extraction: Towards Efficient Document-Level Multi-Event Argument Extraction
  86. DALLMi: Domain Adaption for LLM-based Multi-label Classifier
  87. Millimeter Wave Radar-based Human Activity Recognition for Healthcare Monitoring Robot
  88. Explainable Risk Classification in Financial Reports
  89. Enhancing Bangla Language Next Word Prediction and Sentence Completion through Extended RNN with Bi-LSTM Model On N-gram Language
  90. Incorporating External Knowledge and Goal Guidance for LLM-based Conversational Recommender Systems
  91. AI-Powered Autonomous Weapons Risk Geopolitical Instability and Threaten AI Research
  92. SUKHSANDESH: An Avatar Therapeutic Question Answering Platform for Sexual Education in Rural India
  93. TinySeg: Model Optimizing Framework for Image Segmentation on Tiny Embedded Systems
  94. Robust Explainable Recommendation
  95. Deep Learning Inference on Heterogeneous Mobile Processors: Potentials and Pitfalls
  96. Stability of Explainable Recommendation
  97. RankSHAP: Shapley Value Based Feature Attributions for Learning to Rank
  98. A Model-based Multi-Agent Personalized Short-Video Recommender System
  99. SGHateCheck: Functional Tests for Detecting Hate Speech in Low-Resource Languages of Singapore
  100. An Essay concerning machine understanding
  101. SocialGFs: Learning Social Gradient Fields for Multi-Agent Reinforcement Learning
  102. SoftMCL: Soft Momentum Contrastive Learning for Fine-grained Sentiment-aware Pre-training
  103. Improving Concept Alignment in Vision-Language Concept Bottleneck Models
  104. Report on the AAPM Grand Challenge on deep generative modeling for learning medical image statistics
  105. Real Risks of Fake Data: Synthetic Data, Diversity-Washing and Consent Circumvention
  106. Uniformly Stable Algorithms for Adversarial Training and Beyond
  107. Toward end-to-end interpretable convolutional neural networks for waveform signals
  108. Efficient Heterogeneous Large Language Model Decoding with Model-Attention Disaggregation
  109. Non-linear Welfare-Aware Strategic Learning
  110. Algorithmic Decision-Making under Agents with Persistent Improvement
  111. Exploiting ChatGPT for Diagnosing Autism-Associated Language Disorders and Identifying Distinct Features
  112. Learning under Imitative Strategic Behavior with Unforeseeable Outcomes
  113. TOPICAL: TOPIC Pages AutomagicaLly
  114. Learning Robust Autonomous Navigation and Locomotion for Wheeled-Legged Robots
  115. Understanding Position Bias Effects on Fairness in Social Multi-Document Summarization
  116. Towards Neural Synthesis for SMT-Assisted Proof-Oriented Programming