mlsanityData to 14 Oct 2026

Papers

New on arXiv

Mon 11 Jan 2021

111 papers

  1. Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient SparsityMixture-of-experts → Expert routing strategies
  2. Closing the Planning-Learning Loop with Application to Autonomous DrivingEnd-to-end autonomous driving → Imitation-learning end-to-end planners
  3. Learning from Weakly-labeled Web Videos via Exploring Sub-ConceptsKnowledge distillation → General knowledge distillation methods
  4. A More Efficient Chinese Named Entity Recognition base on BERT and Syntactic Analysis
  5. Towards glass-box CNNs
  6. The Slodderwetenschap (Sloppy Science) of Stochastic Parrots -- A Plea for Science to NOT take the Route Advocated by Gebru and Bender
  7. A Framework for Assurance of Medication Safety using Machine Learning
  8. Adversary Instantiation: Lower Bounds for Differentially Private Machine Learning
  9. Lesion2Vec: Deep Metric Learning for Few-Shot Multiple Lesions Recognition in Wireless Capsule Endoscopy Video
  10. Solving Common-Payoff Games with Approximate Policy Iteration
  11. Independent Policy Gradient Methods for Competitive Reinforcement Learning
  12. Explaining the Black-box Smoothly- A Counterfactual Approach
  13. Implicit Unlikelihood Training: Improving Neural Text Generation with Reinforcement Learning
  14. A deep learning modeling framework to capture mixing patterns in reactive-transport systems
  15. DBTagger: Multi-Task Learning for Keyword Mapping in NLIDBs Using Bi-Directional Recurrent Neural Networks
  16. Challenges and approaches to time-series forecasting in data center telemetry: A Survey
  17. Exploiting Multiple Timescales in Hierarchical Echo State Networks
  18. Multimodal Engagement Analysis from Facial Videos in the Classroom
  19. General Hannan and Quinn Criterion for Common Time Series
  20. PyHealth: A Python Library for Health Predictive Models
  21. TrackMPNN: A Message Passing Graph Neural Architecture for Multi-Object Tracking
  22. Where you live matters: a spatial analysis of COVID-19 mortality
  23. Clustering Word Embeddings with Self-Organizing Maps. Application on LaRoSeDa -- A Large Romanian Sentiment Data Set
  24. PEng4NN: An Accurate Performance Estimation Engine for Efficient Automated Neural Network Architecture Search
  25. Action Priors for Large Action Spaces in Robotics
  26. Learning with Comparison Feedback: Online Estimation of Sample Statistics
  27. Resolution-Based Distillation for Efficient Histology Image Classification
  28. First-Order Problem Solving through Neural MCTS based Reinforcement Learning
  29. On the Practicality of Differential Privacy in Federated Learning by Tuning Iteration Times
  30. BERT-GT: Cross-sentence n-ary relation extraction with BERT and Graph Transformer
  31. Evaluation of Deep Learning Models for Hostility Detection in Hindi Text
  32. From Tinkering to Engineering: Measurements in Tensorflow Playground
  33. A Bayesian neural network predicts the dissolution of compact planetary systems
  34. Explain and Predict, and then Predict Again
  35. Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation
  36. Neural Re-Rendering of Humans from a Single Image
  37. Correlated Weights in Infinite Limits of Deep Convolutional Neural Networks
  38. Remote Pulse Estimation in the Presence of Face Masks
  39. System Design for a Data-driven and Explainable Customer Sentiment Monitor
  40. Automating the Compilation of Potential Core-Outcomes for Clinical Trials
  41. Deeplite Neutrino: An End-to-End Framework for Constrained Deep Learning Model Optimization
  42. Towards Real-World Blind Face Restoration with Generative Facial Prior
  43. Anomaly Detection for Aggregated Data Using Multi-Graph Autoencoder
  44. Horizontal-to-Vertical Video Conversion
  45. Learning to Ignore: Fair and Task Independent Representations
  46. Evaluating Disentanglement of Structured Representations
  47. Smooth p-Wasserstein Distance: Structure, Empirical Approximation, and Statistical Applications
  48. Machine Learning Uncertainty as a Design Material: A Post-Phenomenological Inquiry
  49. Colorectal Polyp Detection in Real-world Scenario: Design and Experiment Study
  50. Context- and Sequence-Aware Convolutional Recurrent Encoder for Neural Machine Translation
  51. Unchain the Search Space with Hierarchical Differentiable Architecture Search
  52. Distributed Double Machine Learning with a Serverless Architecture
  53. A Commonsense Reasoning Framework for Explanatory Emotion Attribution, Generation and Re-classification
  54. Contrastive Learning Improves Critical Event Prediction in COVID-19 Patients
  55. Evaluating Deep Learning Approaches for Covid19 Fake News Detection
  56. Automatic Polyp Segmentation using Fully Convolutional Neural Network
  57. A Neural Question Answering System for Basic Questions about Subroutines
  58. Individual Mobility Prediction: An Interpretable Activity-based Hidden Markov Approach
  59. Technology Readiness Levels for Machine Learning Systems
  60. Identification of COVID-19 related Fake News via Neural Stacking
  61. Load Encoding for Learning AC-OPF
  62. Impact of Interventional Policies Including Vaccine on Covid-19 Propagation and Socio-Economic Factors
  63. Predicting Patient Outcomes with Graph Representation Learning
  64. Learn-n-Route: Learning implicit preferences for vehicle routing
  65. ORDNet: Capturing Omni-Range Dependencies for Scene Parsing
  66. The Vulnerability of Semantic Segmentation Networks to Adversarial Attacks in Autonomous Driving: Enhancing Extensive Environment Sensing
  67. A novel shape matching descriptor for real-time hand gesture recognition
  68. Cycle Generative Adversarial Networks Algorithm With Style Transfer For Image Generation
  69. Comprehensible Convolutional Neural Networks via Guided Concept Learning
  70. Scaling Up Bayesian Uncertainty Quantification for Inverse Problems using Deep Neural Networks
  71. Variational Embeddings for Community Detection and Node Representation
  72. Fast marginal likelihood estimation of penalties for group-adaptive elastic net
  73. Deep Interactive Bayesian Reinforcement Learning via Meta-Learning
  74. Deep Neural Networks to Recover Unknown Physical Parameters from Oscillating Time Series
  75. Spherical Transformer: Adapting Spherical Signal to CNNs
  76. Evolutionary Map of the Universe (EMU):Compact radio sources in the SCORPIO field towards the Galactic plane
  77. The Semantic Adjacency Criterion in Time Intervals Mining
  78. Model Generalization on COVID-19 Fake News Detection
  79. WDR FACE: The First Database for Studying Face Detection in Wide Dynamic Range
  80. Analysis of skin lesion images with deep learning
  81. Multi-Domain Image-to-Image Translation with Adaptive Inference Graph
  82. A Conflict-Based Search Framework for Multi-Objective Multi-Agent Path Finding
  83. Coronary Plaque Analysis for CT Angiography Clinical Research
  84. The Gaze and Mouse Signal as additional Source for User Fingerprints in Browser Applications
  85. Second Hand Price Prediction for Tesla Vehicles
  86. WiCV 2020: The Seventh Women In Computer Vision Workshop
  87. Predictive Analysis of Chikungunya
  88. Deep Adversarial Inconsistent Cognitive Sampling for Multi-view Progressive Subspace Clustering
  89. Revisiting Mahalanobis Distance for Transformer-Based Out-of-Domain Detection
  90. Investigating the Vision Transformer Model for Image Retrieval Tasks
  91. Deep Learning-based Face Super-Resolution: A Survey
  92. Cognitive Visual Inspection Service for LCD Manufacturing Industry
  93. Hierarchical Clustering using Auto-encoded Compact Representation for Time-series Analysis
  94. Improving Multi-hop Knowledge Base Question Answering by Learning Intermediate Supervision Signals
  95. Biomanufacturing Harvest Optimization with Small Data
  96. Wheelchair Behavior Recognition for Visualizing Sidewalk Accessibility by Deep Neural Networks
  97. Constraint 2021: Machine Learning Models for COVID-19 Fake News Detection Shared Task
  98. Generalize Ultrasound Image Segmentation via Instant and Plug & Play Style Transfer
  99. ArrowGAN : Learning to Generate Videos by Learning Arrow of Time
  100. Preconditioned training of normalizing flows for variational inference in inverse problems
All 111
  1. FedAR: Activity and Resource-Aware Federated Learning Model for Distributed Mobile Robots
  2. A Transfer Learning-based State of Charge Estimation for Lithium-Ion Battery at Varying Ambient Temperatures
  3. Condition Assessment of Stay Cables through Enhanced Time Series Classification Using a Deep Learning Approach
  4. AT-BERT: Adversarial Training BERT for Acronym Identification Winning Solution for SDU@AAAI-21
  5. RepVGG: Making VGG-style ConvNets Great Again
  6. Learning to Segment Rigid Motions from Two Frames
  7. Modeling Household Online Shopping Demand in the U.S.: A Machine Learning Approach and Comparative Investigation between 2009 and 2017
  8. MAAS: Multi-modal Assignation for Active Speaker Detection
  9. Time-Series Regeneration with Convolutional Recurrent Generative Adversarial Network for Remaining Useful Life Estimation
  10. Marketing Mix Optimization with Practical Constraints
  11. Machine Learning Towards Intelligent Systems: Applications, Challenges, and Opportunities