mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sat 29 May 2021

88 papers

  1. A Survey of Deep Reinforcement Learning Algorithms for Motion Planning and Control of Autonomous VehiclesEnd-to-end autonomous driving → Reinforcement learning for driving
  2. Tournesol: A quest for a large, secure and trustworthy database of reliable human judgments
  3. From SIR to SEAIRD: a novel data-driven modeling approach based on the Grey-box System Theory to predict the dynamics of COVID-19
  4. Assessing the Causal Impact of COVID-19 Related Policies on Outbreak Dynamics: A Case Study in the US
  5. MARL with General Utilities via Decentralized Shadow Reward Actor-Critic
  6. Analysis and classification of main risk factors causing stroke in Shanxi Province
  7. Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains
  8. On Centralized and Distributed Mirror Descent: Convergence Analysis Using Quadratic Constraints
  9. Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis
  10. Sentiment analysis in tweets: an assessment study from classical to modern text representation models
  11. Ten Quick Tips for Deep Learning in Biology
  12. Fine-Tuning the Odds in Bayesian Networks
  13. BAAI-VANJEE Roadside Dataset: Towards the Connected Automated Vehicle Highway technologies in Challenging Environments of China
  14. Fit without fear: remarkable mathematical phenomena of deep learning through the prism of interpolation
  15. Deconvolutional Density Network: Modeling Free-Form Conditional Distributions
  16. Graph Similarity Description: How Are These Graphs Similar?
  17. On the Theory of Reinforcement Learning with Once-per-Episode Feedback
  18. Constructing Flow Graphs from Procedural Cybersecurity Texts
  19. Three-dimensional multimodal medical imaging system based on free-hand ultrasound and structured light
  20. Corn Yield Prediction with Ensemble CNN-DNN
  21. Is Sluice Resolution really just Question Answering?
  22. Conditional Deep Convolutional Neural Networks for Improving the Automated Screening of Histopathological Images
  23. Optimal transport with f-divergence regularization and generalized Sinkhorn algorithm
  24. Covid-19 diagnosis from x-ray using neural networks
  25. Foveal-pit inspired filtering of DVS spike response
  26. GINA: Neural Relational Inference From Independent Snapshots
  27. Transfer Learning under High-dimensional Generalized Linear Models
  28. A Spectral-Spatial-Dependent Global Learning Framework for Insufficient and Imbalanced Hyperspectral Image Classification
  29. Implementing a foveal-pit inspired filter in a Spiking Convolutional Neural Network: a preliminary study
  30. RPG: Learning Recursive Point Cloud Generation
  31. Self-Supervised Nonlinear Transform-Based Tensor Nuclear Norm for Multi-Dimensional Image Recovery
  32. Estimating air quality co-benefits of energy transition using machine learning
  33. Automatic CT Segmentation from Bounding Box Annotations using Convolutional Neural Networks
  34. Novel Slot Detection: A Benchmark for Discovering Unknown Slot Types in the Task-Oriented Dialogue System
  35. A Simple Voting Mechanism for Online Sexist Content Identification
  36. A Theory of Neural Tangent Kernel Alignment and Its Influence on Training
  37. LPF: A Language-Prior Feedback Objective Function for De-biased Visual Question Answering
  38. Deep Learning on Monocular Object Pose Detection and Tracking: A Comprehensive Overview
  39. Modeling Discriminative Representations for Out-of-Domain Detection with Supervised Contrastive Learning
  40. Hashing-Accelerated Graph Neural Networks for Link Prediction
  41. An overview of deep learning techniques for epileptic seizures detection and prediction based on neuroimaging modalities: Methods, challenges, and future works
  42. Grammar Accuracy Evaluation (GAE): Quantifiable Quantitative Evaluation of Machine Translation Models
  43. Correcting public opinion trends through Bayesian data assimilation
  44. Greedy Bayesian Posterior Approximation with Deep Ensembles
  45. Korean-English Machine Translation with Multiple Tokenization Strategy
  46. Information Directed Sampling for Sparse Linear Bandits
  47. Understanding Bandits with Graph Feedback
  48. Detecting Backdoor in Deep Neural Networks via Intentional Adversarial Perturbations
  49. Diffusion-Based Representation Learning
  50. Compressed Sensing for Photoacoustic Computed Tomography Using an Untrained Neural Network
  51. Cherry-Picking Gradients: Learning Low-Rank Embeddings of Visual Data via Differentiable Cross-Approximation
  52. Orienting Novel 3D Objects Using Self-Supervised Learning of Rotation Transforms
  53. Learning Graphon Autoencoders for Generative Graph Modeling
  54. CommitBERT: Commit Message Generation Using Pre-Trained Programming Language Model
  55. Demoting the Lead Bias in News Summarization via Alternating Adversarial Learning
  56. Analysis and Applications of Class-wise Robustness in Adversarial Training
  57. Simplified Belief-Dependent Reward MCTS Planning with Guaranteed Tree Consistency
  58. Transforming the Latent Space of StyleGAN for Real Face Editing
  59. A Novel Framework Integrating AI Model and Enzymological Experiments Promotes Identification of SARS-CoV-2 3CL Protease Inhibitors and Activity-based Probe
  60. CoDesc: A Large Code-Description Parallel Dataset
  61. Machine Learning for Performance Prediction of Channel Bonding in Next-Generation IEEE 802.11 WLANs
  62. Less is More: Pay Less Attention in Vision Transformers
  63. CDMA: A Practical Cross-Device Federated Learning Algorithm for General Minimax Problems
  64. Predictive Representation Learning for Language Modeling
  65. Towards a General Many-Sorted Framework for Describing Certain Kinds of Legal Statutes with a Potential Computational Realization
  66. M6-UFC: Unifying Multi-Modal Controls for Conditional Image Synthesis via Non-Autoregressive Generative Transformers
  67. Exploiting Position Bias for Robust Aspect Sentiment Classification
  68. Grammatical Error Correction as GAN-like Sequence Labeling
  69. Maintaining Common Ground in Dynamic Environments
  70. Understanding Instance-based Interpretability of Variational Auto-Encoders
  71. Universal Adder Neural Networks
  72. CNTLS: A Benchmark Dataset for Abstractive or Extractive Chinese Timeline Summarization
  73. Quotation Recommendation and Interpretation Based on Transformation from Queries to Quotations
  74. FCPose: Fully Convolutional Multi-Person Pose Estimation with Dynamic Instance-Aware Convolutions
  75. E2ETag: An End-to-End Trainable Method for Generating and Detecting Fiducial Markers
  76. Multi-Label Few-Shot Learning for Aspect Category Detection
  77. FoveaTer: Foveated Transformer for Image Classification
  78. A Stochastic Alternating Balance k-Means Algorithm for Fair Clustering
  79. The Definitions of Interpretability and Learning of Interpretable Models
  80. NeuralLog: Natural Language Inference with Joint Neural and Logical Reasoning
  81. Rejection sampling from shape-constrained distributions in sublinear time
  82. The query complexity of sampling from strongly log-concave distributions in one dimension
  83. EDDA: Explanation-driven Data Augmentation to Improve Explanation Faithfulness
  84. Enhancing Environmental Enforcement with Near Real-Time Monitoring: Likelihood-Based Detection of Structural Expansion of Intensive Livestock Farms
  85. SSCAP: Self-supervised Co-occurrence Action Parsing for Unsupervised Temporal Action Segmentation
  86. SMASH: Sparse Matrix Atomic Scratchpad Hashing
  87. Annotation Inconsistency and Entity Bias in MultiWOZ
  88. Log2NS: Enhancing Deep Learning Based Analysis of Logs With Formal to Prevent Survivorship Bias