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  1. "Why Should I Trust You?": Explaining the Predictions of Any Classifier
  2. ALBERT
  3. ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
  4. A Bayesian Perspective on Generalization and Stochastic Gradient Descent
  5. A Brief Survey of Text Mining: Classification, Clustering and Extraction Techniques
  6. A Game Theoretic Approach to Class-wise Selective Rationalization
  7. A Knowledge-Grounded Neural Conversation Model
  8. A Neural Representation of Sketch Drawings
  9. A universal SNP and small-indel variant caller using deep neural networks
  10. Adacompress: Adaptive compression for online computer vision services
  11. Adversarial Attacks on Copyright Detection Systems
  12. Adversarial Fisher Vectors for Unsupervised Representation Learning
  13. Annotating Object Instances with a Polygon RNN
  14. Another look at distance-weighted discrimination
  15. Attend and Predict: Understanding Gene Regulation by Selective Attention on Chromatin
  16. Augmix: New Data Augmentation method to increase the robustness of the algorithm
  17. Automatic Bank Fraud Detection Using Support Vector Machines
  18. BERTScore: Evaluating Text Generation with BERT
  19. Bag of Tricks for Efficient Text Classification
  20. Batch Normalization
  21. Batch Normalization Summary
  22. Bayesian Network as a Decision Tool for Predicting ALS Disease
  23. Being Bayesian about Categorical Probability
  24. Breaking Certified Defenses: Semantic Adversarial Examples With Spoofed Robustness Certificates
  25. Breaking the Softmax Bottleneck: A High-Rank RNN Language Model
  26. Bsodjahi
  27. CRITICAL ANALYSIS OF SELF-SUPERVISION
  28. CapsuleNets
  29. CatBoost: unbiased boosting with categorical features
  30. Co-Teaching
  31. Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments
  32. Convolutional Neural Networks for Sentence Classification
  33. Convolutional Sequence to Sequence Learning
  34. Convolutional neural network for diagnosis of viral pneumonia and COVID-19 alike diseases
  35. Countering Adversarial Images Using Input Transformations
  36. Curiosity-driven Exploration by Self-supervised Prediction
  37. DCN plus: Mixed Objective And Deep Residual Coattention for Question Answering
  38. DETECTING STATISTICAL INTERACTIONS FROM NEURAL NETWORK WEIGHTS
  39. DON'T DECAY THE LEARNING RATE , INCREASE THE BATCH SIZE
  40. DREAM TO CONTROL: LEARNING BEHAVIORS BY LATENT IMAGINATION
  41. DeepVO Towards end to end visual odometry with deep RNN
  42. Deep Alternative Neural Network: Exploring Contexts As Early As Possible For Action Recognition
  43. Deep Double Descent Where Bigger Models and More Data Hurt
  44. Deep Exploration via Bootstrapped DQN
  45. Deep Learning for Cardiologist-level Myocardial Infarction Detection in Electrocardiograms
  46. Deep Learning for Extreme Multi-label Text Classification
  47. Deep Reinforcement Learning in Continuous Action Spaces a Case Study in the Game of Simulated Curling
  48. Deep Residual Learning for Image Recognition
  49. Deep Residual Learning for Image Recognition Summary
  50. Deep Transfer Learning with Joint Adaptation Networks

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