mlsanityData to 7 Oct 2026

Papers

New on arXiv

Fri 21 Jan 2022

111 papers

  1. GreaseLM: Graph REASoning Enhanced Language Models for Question AnsweringLLM reasoning → Knowledge- and tool-augmented reasoning
  2. QoS-SLA-Aware Adaptive Genetic Algorithm for Multi-Request Offloading in Integrated Edge-Cloud Computing in Internet of Vehicles
  3. Using a Novel COVID-19 Calculator to Measure Positive U.S. Socio-Economic Impact of a COVID-19 Pre-Screening Solution (AI/ML)
  4. Adaptive Activation-based Structured Pruning
  5. AI-based Re-identification of Behavioral Clickstream Data
  6. Reinforcement Learning Your Way: Agent Characterization through Policy Regularization
  7. Heat Conduction Plate Layout Optimization using Physics-driven Convolutional Neural Networks
  8. A System for Image Understanding using Sensemaking and Narrative
  9. Deep Reinforcement Learning with Spiking Q-learning
  10. Tensor and Matrix Low-Rank Value-Function Approximation in Reinforcement Learning
  11. Machine Learning Algorithms for Prediction of Penetration Depth and Geometrical Analysis of Weld in Friction Stir Spot Welding Process
  12. Accelerate Model Parallel Training by Using Efficient Graph Traversal Order in Device Placement
  13. AlphaFold Accelerates Artificial Intelligence Powered Drug Discovery: Efficient Discovery of a Novel Cyclin-dependent Kinase 20 (CDK20) Small Molecule Inhibitor
  14. Nearest Class-Center Simplification through Intermediate Layers
  15. Recurrent Neural Networks with Mixed Hierarchical Structures and EM Algorithm for Natural Language Processing
  16. Uncertainty-Cognizant Model Predictive Control for Energy Management of Residential Buildings with PVT and Thermal Energy Storage
  17. Optimal Dynamic Regret in Proper Online Learning with Strongly Convex Losses and Beyond
  18. Description-Driven Task-Oriented Dialog Modeling
  19. Universal Online Learning with Unbounded Losses: Memory Is All You Need
  20. Environment Generation for Zero-Shot Compositional Reinforcement Learning
  21. Reinforcement Learning for Personalized Drug Discovery and Design for Complex Diseases: A Systems Pharmacology Perspective
  22. Image-to-Video Re-Identification via Mutual Discriminative Knowledge Transfer
  23. The Rational Selection of Goal Operations and the Integration ofSearch Strategies with Goal-Driven Autonomy
  24. Classical Simulation of Variational Quantum Classifiers using Tensor Rings
  25. Variational Autoencoder based Metamodeling for Multi-Objective Topology Optimization of Electrical Machines
  26. On the in vivo recognition of kidney stones using machine learning
  27. Stochastic normalizing flows as non-equilibrium transformations
  28. Point-NeRF: Point-based Neural Radiance Fields
  29. Marginal Effects for Non-Linear Prediction Functions
  30. Occupancy Information Ratio: Infinite-Horizon, Information-Directed, Parameterized Policy Search
  31. Reliable Detection of Doppelg"angers based on Deep Face Representations
  32. APack: Off-Chip, Lossless Data Compression for Efficient Deep Learning Inference
  33. Representing Long-Range Context for Graph Neural Networks with Global Attention
  34. Conversational Information Seeking
  35. Deconfounding to Explanation Evaluation in Graph Neural Networks
  36. AiTLAS: Artificial Intelligence Toolbox for Earth Observation
  37. FedComm: Federated Learning as a Medium for Covert Communication
  38. Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting
  39. Contrastive and Selective Hidden Embeddings for Medical Image Segmentation
  40. Under-Approximating Expected Total Rewards in POMDPs
  41. Generalization Metrics for Practical Quantum Advantage in Generative Models
  42. Object Detection in Aerial Images: What Improves the Accuracy?
  43. Tuned Regularized Estimators for Linear Regression via Covariance Fitting
  44. Inferring Brain Dynamics via Multimodal Joint Graph Representation EEG-fMRI
  45. ERS: a novel comprehensive endoscopy image dataset for machine learning, compliant with the MST 3.0 specification
  46. Impacts of Students Academic Performance Trajectories on Final Academic Success
  47. Towards Building Economic Models of Conversational Search
  48. Improving Across-Dataset Brain Tissue Segmentation Using Transformer
  49. Privacy Policies Across the Ages: Content and Readability of Privacy Policies 1996--2021
  50. Meta Learning MDPs with Linear Transition Models
  51. Less is Less: When Are Snippets Insufficient for Human vs Machine Relevance Estimation?
  52. Personality Type Based on Myers-Briggs Type Indicator with Text Posting Style by using Traditional and Deep Learning
  53. Improved Random Features for Dot Product Kernels
  54. SparseAlign: A Super-Resolution Algorithm for Automatic Marker Localization and Deformation Estimation in Cryo-Electron Tomography
  55. Adaptive Data Analysis with Correlated Observations
  56. Dual Contrastive Learning: Text Classification via Label-Aware Data Augmentation
  57. A Comparative Study on Language Models for Task-Oriented Dialogue Systems
  58. A Comprehensive Study of Vision Transformers on Dense Prediction Tasks
  59. Scales and Hedges in a Logic with Analogous Semantics
  60. Distance-Ratio-Based Formulation for Metric Learning
  61. Gender Bias in Text: Labeled Datasets and Lexicons
  62. Exploring Fusion Strategies for Accurate RGBT Visual Object Tracking
  63. Random Noise vs State-of-the-Art Probabilistic Forecasting Methods : A Case Study on CRPS-Sum Discrimination Ability
  64. Context-Tuning: Learning Contextualized Prompts for Natural Language Generation
  65. Dynamic Deep Convolutional Candlestick Learner
  66. Clipped DeepControl: deep neural network two-dimensional pulse design with an amplitude constraint layer
  67. Fast Differentiable Matrix Square Root
  68. The Security of Deep Learning Defences for Medical Imaging
  69. On the adaptation of recurrent neural networks for system identification
  70. Unity Smoothing for Handling Inconsistent Evidence in Bayesian Networks and Unity Propagation for Faster Inference
  71. Enhancing Pseudo Label Quality for Semi-Supervised Domain-Generalized Medical Image Segmentation
  72. A phase transition for finding needles in nonlinear haystacks with LASSO artificial neural networks
  73. Text Style Transfer for Bias Mitigation using Masked Language Modeling
  74. Conceptor Learning for Class Activation Mapping
  75. Multi-view Monocular Depth and Uncertainty Prediction with Deep SfM in Dynamic Environments
  76. Training Hybrid Classical-Quantum Classifiers via Stochastic Variational Optimization
  77. VIPriors 2: Visual Inductive Priors for Data-Efficient Deep Learning Challenges
  78. Learning deterministic hydrodynamic equations from stochastic active particle dynamics
  79. Dangerous Cloaking: Natural Trigger based Backdoor Attacks on Object Detectors in the Physical World
  80. Pseudo-Labeled Auto-Curriculum Learning for Semi-Supervised Keypoint Localization
  81. Deep Q-learning: a robust control approach
  82. Taxonomy Enrichment with Text and Graph Vector Representations
  83. SegTransVAE: Hybrid CNN -- Transformer with Regularization for medical image segmentation
  84. Trustworthy Knowledge Graph Completion Based on Multi-sourced Noisy Data
  85. Classroom Slide Narration System
  86. Human Activity Recognition models using Limited Consumer Device Sensors and Machine Learning
  87. Hold On and Swipe: A Touch-Movement Based Continuous Authentication Schema based on Machine Learning
  88. Individual Treatment Effect Estimation Through Controlled Neural Network Training in Two Stages
  89. Toward Enhanced Robustness in Unsupervised Graph Representation Learning: A Graph Information Bottleneck Perspective
  90. Identifying Adversarial Attacks on Text Classifiers
  91. Enhancing Hyperbolic Graph Embeddings via Contrastive Learning
  92. What Can Machine Vision Do for Lymphatic Histopathology Image Analysis: A Comprehensive Review
  93. Fair Node Representation Learning via Adaptive Data Augmentation
  94. Deep Learning-Accelerated 3D Carbon Storage Reservoir Pressure Forecasting Based on Data Assimilation Using Surface Displacement from InSAR
  95. Can Model Compression Improve NLP Fairness
  96. AutoDistill: an End-to-End Framework to Explore and Distill Hardware-Efficient Language Models
  97. Instance-Dependent Confidence and Early Stopping for Reinforcement Learning
  98. Black-box Prompt Learning for Pre-trained Language Models
  99. Spatiotemporal Analysis Using Riemannian Composition of Diffusion Operators
  100. To SMOTE, or not to SMOTE?
All 111
  1. Can Machines Generate Personalized Music? A Hybrid Favorite-aware Method for User Preference Music Transfer
  2. Learning Two-Step Hybrid Policy for Graph-Based Interpretable Reinforcement Learning
  3. Optimal variance-reduced stochastic approximation in Banach spaces
  4. LRSVRG-IMC: An SVRG-Based Algorithm for LowRank Inductive Matrix Completion
  5. How does unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis
  6. Vertical Federated Edge Learning with Distributed Integrated Sensing and Communication
  7. Decentralized Sparse Linear Regression via Gradient-Tracking: Linear Convergence and Statistical Guarantees
  8. alpha-Deep Probabilistic Inference (alpha-DPI): efficient uncertainty quantification from exoplanet astrometry to black hole feature extraction
  9. Deep reinforcement learning under signal temporal logic constraints using Lagrangian relaxation
  10. SciBERTSUM: Extractive Summarization for Scientific Documents
  11. TOFU: Towards Obfuscated Federated Updates by Encoding Weight Updates into Gradients from Proxy Data