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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 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 Attacks on Copyright Detection Systems
  11. Adversarial Fisher Vectors for Unsupervised Representation Learning
  12. Annotating Object Instances with a Polygon RNN
  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. BERTScore: Evaluating Text Generation with BERT
  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. CRITICAL ANALYSIS OF SELF-SUPERVISION
  23. CapsuleNets
  24. Co-Teaching
  25. Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments
  26. Convolutional Neural Networks for Sentence Classification
  27. Convolutional Sequence to Sequence Learning
  28. Countering Adversarial Images Using Input Transformations
  29. Curiosity-driven Exploration by Self-supervised Prediction
  30. DCN plus: Mixed Objective And Deep Residual Coattention for Question Answering
  31. DETECTING STATISTICAL INTERACTIONS FROM NEURAL NETWORK WEIGHTS
  32. DON'T DECAY THE LEARNING RATE , INCREASE THE BATCH SIZE
  33. DREAM TO CONTROL: LEARNING BEHAVIORS BY LATENT IMAGINATION
  34. DeepVO Towards end to end visual odometry with deep RNN
  35. Deep Alternative Neural Network: Exploring Contexts As Early As Possible For Action Recognition
  36. Deep Exploration via Bootstrapped DQN
  37. Deep Learning for Cardiologist-level Myocardial Infarction Detection in Electrocardiograms
  38. Deep Reinforcement Learning in Continuous Action Spaces a Case Study in the Game of Simulated Curling
  39. Deep Residual Learning for Image Recognition
  40. Deep Transfer Learning with Joint Adaptation Networks
  41. Dense Passage Retrieval for Open-Domain Question Answering
  42. Describtion of Text Mining
  43. Dialog-based Language Learning
  44. Do Deep Neural Networks Suffer from Crowding
  45. Dynamic Routing Between Capsules
  46. Dynamic Routing Between Capsules STAT946
  47. Dynamic Routing Between Capsulesl
  48. Efficient kNN Classification with Different Numbers of Nearest Neighbors
  49. End-to-End Differentiable Adversarial Imitation Learning
  50. End to end Active Object Tracking via Reinforcement Learning

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