mlsanityData to 14 Oct 2026

Papers

New on arXiv

Mon 4 Jan 2021

96 papers

  1. Robust Maximum Entropy Behavior CloningOffline RL and imitation learning from data → Imitation learning methods
  2. A new solution to the curved Ewald sphere problem for 3D image reconstruction in electron microscopy
  3. Recovery of underdrawings and ghost-paintings via style transfer by deep convolutional neural networks: A digital tool for art scholars
  4. Protecting Big Data Privacy Using Randomized Tensor Network Decomposition and Dispersed Tensor Computation
  5. Robust Machine Learning Systems: Challenges, Current Trends, Perspectives, and the Road Ahead
  6. Using BART to Perform Pareto Optimization and Quantify its Uncertainties
  7. Continuous Glucose Monitoring Prediction
  8. CASS: Towards Building a Social-Support Chatbot for Online Health Community
  9. "Brilliant AI Doctor" in Rural China: Tensions and Challenges in AI-Powered CDSS Deployment
  10. Multi-Model Least Squares-Based Recomputation Framework for Large Data Analysis
  11. Federated Learning-Based Risk-Aware Decision toMitigate Fake Task Impacts on CrowdsensingPlatforms
  12. SpotPatch: Parameter-Efficient Transfer Learning for Mobile Object Detection
  13. A Survey on Embedding Dynamic Graphs
  14. Reddit Entity Linking Dataset
  15. Learn by Guessing: Multi-Step Pseudo-Label Refinement for Person Re-Identification
  16. Reconstructing Patchy Reionization with Deep Learning
  17. Improving Portuguese Semantic Role Labeling with Transformers and Transfer Learning
  18. Semantic Video Segmentation for Intracytoplasmic Sperm Injection Procedures
  19. Stochastic Optimization for Vaccine and Testing Kit Allocation for the COVID-19 Pandemic
  20. Control of Stochastic Quantum Dynamics by Differentiable Programming
  21. Advances in Electron Microscopy with Deep Learning
  22. Transformers in Vision: A Survey
  23. Where Do Deep Fakes Look? Synthetic Face Detection via Gaze Tracking
  24. SmartDeal: Re-Modeling Deep Network Weights for Efficient Inference and Training
  25. Transport information Bregman divergences
  26. A Hybrid Learner for Simultaneous Localization and Mapping
  27. High-resolution land cover change from low-resolution labels: Simple baselines for the 2021 IEEE GRSS Data Fusion Contest
  28. Provable Generalization of SGD-trained Neural Networks of Any Width in the Presence of Adversarial Label Noise
  29. High-bandwidth nonlinear control for soft actuators with recursive network models
  30. Gauss-Legendre Features for Gaussian Process Regression
  31. Does Invariant Risk Minimization Capture Invariance?
  32. Stereo Correspondence and Reconstruction of Endoscopic Data Challenge
  33. Local Competition and Stochasticity for Adversarial Robustness in Deep Learning
  34. Wasserstein barycenters are NP-hard to compute
  35. Dynamic Knowledge Graphs as Semantic Memory Model for Industrial Robots
  36. Be Greedy in Multi-Armed Bandits
  37. Learning to solve the single machine scheduling problem with release times and sum of completion times
  38. Topology-aware Tensor Decomposition for Meta-graph Learning
  39. Anomaly Recognition from surveillance videos using 3D Convolutional Neural Networks
  40. Personal Privacy Protection via Irrelevant Faces Tracking and Pixelation in Video Live Streaming
  41. Comparing different subgradient methods for solving convex optimization problems with functional constraints
  42. Fast Ensemble Learning Using Adversarially-Generated Restricted Boltzmann Machines
  43. Derivative-Free Policy Optimization for Linear Risk-Sensitive and Robust Control Design: Implicit Regularization and Sample Complexity
  44. Improving reference mining in patents with BERT
  45. HyperMorph: Amortized Hyperparameter Learning for Image Registration
  46. Local Black-box Adversarial Attacks: A Query Efficient Approach
  47. Echelon: Two-Tier Malware Detection for Raw Executables to Reduce False Alarms
  48. Conditional Local Convolution for Spatio-temporal Meteorological Forecasting
  49. Guiding GANs: How to control non-conditional pre-trained GANs for conditional image generation
  50. Fooling Object Detectors: Adversarial Attacks by Half-Neighbor Masks
  51. Hybrid FEM-NN models: Combining artificial neural networks with the finite element method
  52. Learning Differentially Private Mechanisms
  53. Classification and Segmentation of Pulmonary Lesions in CT Images Using a Combined VGG-XGBoost Method, and an Integrated Fuzzy Clustering-Level Set Technique
  54. CRSLab: An Open-Source Toolkit for Building Conversational Recommender System
  55. First-Order Methods for Convex Optimization
  56. Weakly-Supervised Saliency Detection via Salient Object Subitizing
  57. CLeaR: An Adaptive Continual Learning Framework for Regression Tasks
  58. Zombie Account Detection Based on Community Detection and Uneven Assignation PageRank
  59. How to Train Your Agent to Read and Write
  60. Global2Local: Efficient Structure Search for Video Action Segmentation
  61. Fair Training of Decision Tree Classifiers
  62. On Baselines for Local Feature Attributions
  63. Identifying centres of interest in paintings using alignment and edge detection: Case studies on works by Luc Tuymans
  64. AutoEncoder for Interpolation
  65. Low Light Image Enhancement via Global and Local Context Modeling
  66. Strategic Features for General Games
  67. A Pushing-Grasping Collaborative Method Based on Deep Q-Network Algorithm in Dual Perspectives
  68. Transformer-based Conditional Variational Autoencoder for Controllable Story Generation
  69. Outline to Story: Fine-grained Controllable Story Generation from Cascaded Events
  70. Temporal Contrastive Graph Learning for Video Action Recognition and Retrieval
  71. A Novel Bio-Inspired Hybrid Multi-Filter Wrapper Gene Selection Method with Ensemble Classifier for Microarray Data
  72. A Joint Training Dual-MRC Framework for Aspect Based Sentiment Analysis
  73. Single-shot fringe projection profilometry based on Deep Learning and Computer Graphics
  74. Shed Various Lights on a Low-Light Image: Multi-Level Enhancement Guided by Arbitrary References
  75. Minimizing L1 over L2 norms on the gradient
  76. A Pluggable Learned Index Method via Sampling and Gap Insertion
  77. Fusion of Federated Learning and Industrial Internet of Things: A Survey
  78. Beyond Low-frequency Information in Graph Convolutional Networks
  79. A Framework for Fast Scalable BNN Inference using Googlenet and Transfer Learning
  80. Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation
  81. WearMask: Fast In-browser Face Mask Detection with Serverless Edge Computing for COVID-19
  82. Retrieving and Reading: A Comprehensive Survey on Open-domain Question Answering
  83. Gaussian Function On Response Surface Estimation
  84. Benchmarking Knowledge-Enhanced Commonsense Question Answering via Knowledge-to-Text Transformation
  85. Schemes of Propagation Models and Source Estimators for Rumor Source Detection in Online Social Networks: A Short Survey of a Decade of Research
  86. Passenger Mobility Prediction via Representation Learning for Dynamic Directed and Weighted Graph
  87. Frequency Principle in Deep Learning Beyond Gradient-descent-based Training
  88. MetaVIM: Meta Variationally Intrinsic Motivated Reinforcement Learning for Decentralized Traffic Signal Control
  89. DSXplore: Optimizing Convolutional Neural Networks via Sliding-Channel Convolutions
  90. Learning to Optimize Under Constraints with Unsupervised Deep Neural Networks
  91. A novel policy for pre-trained Deep Reinforcement Learning for Speech Emotion Recognition
  92. Coreference Resolution: Are the eliminated spans totally worthless?
  93. Factor Analysis, Probabilistic Principal Component Analysis, Variational Inference, and Variational Autoencoder: Tutorial and Survey
  94. Generalized Latency Performance Estimation for Once-For-All Neural Architecture Search
  95. Towards Network Traffic Monitoring Using Deep Transfer Learning
  96. Etat de l'art sur l'application des bandits multi-bras