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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 Game Theoretic Approach to Class-wise Selective Rationalization
  6. A Knowledge-Grounded Neural Conversation Model
  7. A Neural Representation of Sketch Drawings
  8. A universal SNP and small-indel variant caller using deep neural networks
  9. Adacompress: Adaptive compression for online computer vision services
  10. Adversarial Fisher Vectors for Unsupervised Representation Learning
  11. Annotating Object Instances with a Polygon RNN
  12. Another look at distance-weighted discrimination
  13. Attend and Predict: Understanding Gene Regulation by Selective Attention on Chromatin
  14. Augmix: New Data Augmentation method to increase the robustness of the algorithm
  15. Automatic Bank Fraud Detection Using Support Vector Machines
  16. Bag of Tricks for Efficient Text Classification
  17. Batch Normalization
  18. Batch Normalization Summary
  19. Being Bayesian about Categorical Probability
  20. Breaking Certified Defenses: Semantic Adversarial Examples With Spoofed Robustness Certificates
  21. Breaking the Softmax Bottleneck: A High-Rank RNN Language Model
  22. Bsodjahi
  23. CRITICAL ANALYSIS OF SELF-SUPERVISION
  24. CapsuleNets
  25. CatBoost: unbiased boosting with categorical features
  26. Co-Teaching
  27. Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments
  28. Convolutional Neural Networks for Sentence Classification
  29. Convolutional Sequence to Sequence Learning
  30. Convolutional neural network for diagnosis of viral pneumonia and COVID-19 alike diseases
  31. Countering Adversarial Images Using Input Transformations
  32. Curiosity-driven Exploration by Self-supervised Prediction
  33. DCN plus: Mixed Objective And Deep Residual Coattention for Question Answering
  34. DON'T DECAY THE LEARNING RATE , INCREASE THE BATCH SIZE
  35. DREAM TO CONTROL: LEARNING BEHAVIORS BY LATENT IMAGINATION
  36. DeepVO Towards end to end visual odometry with deep RNN
  37. Deep Alternative Neural Network: Exploring Contexts As Early As Possible For Action Recognition
  38. Deep Double Descent Where Bigger Models and More Data Hurt
  39. Deep Learning for Cardiologist-level Myocardial Infarction Detection in Electrocardiograms
  40. Deep Learning for Extreme Multi-label Text Classification
  41. Deep Reinforcement Learning in Continuous Action Spaces a Case Study in the Game of Simulated Curling
  42. Deep Residual Learning for Image Recognition
  43. Deep Residual Learning for Image Recognition Summary
  44. Deep Transfer Learning with Joint Adaptation Networks
  45. Dense Passage Retrieval for Open-Domain Question Answering
  46. Depthwise Convolution Is All You Need for Learning Multiple Visual Domains
  47. Describtion of Text Mining
  48. Do Deep Neural Networks Suffer from Crowding
  49. Do Vision Transformers See Like CNN
  50. Don't Just Blame Over-parametrization

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