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  1. "Why Should I Trust You?": Explaining the Predictions of Any Classifier
  2. 13Stat946papers
  3. ALBERT
  4. ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
  5. A Bayesian Perspective on Generalization and Stochastic Gradient Descent
  6. A Brief Survey of Text Mining: Classification, Clustering and Extraction Techniques
  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. Attend and Predict: Understanding Gene Regulation by Selective Attention on Chromatin
  15. Augmix: New Data Augmentation method to increase the robustness of the algorithm
  16. BERTScore: Evaluating Text Generation with BERT
  17. Bag of Tricks for Efficient Text Classification
  18. Batch Normalization
  19. Batch Normalization Summary
  20. Being Bayesian about Categorical Probability
  21. Breaking Certified Defenses: Semantic Adversarial Examples With Spoofed Robustness Certificates
  22. Breaking the Softmax Bottleneck: A High-Rank RNN Language Model
  23. CRITICAL ANALYSIS OF SELF-SUPERVISION
  24. CapsuleNets
  25. Co-Teaching
  26. Conditional Image Synthesis with Auxiliary Classifier GANs
  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. Countering Adversarial Images Using Input Transformations
  31. Curiosity-driven Exploration by Self-supervised Prediction
  32. DCN plus: Mixed Objective And Deep Residual Coattention for Question Answering
  33. DETECTING STATISTICAL INTERACTIONS FROM NEURAL NETWORK WEIGHTS
  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 Exploration via Bootstrapped DQN
  39. Deep Learning for Cardiologist-level Myocardial Infarction Detection in Electrocardiograms
  40. Deep Reinforcement Learning in Continuous Action Spaces a Case Study in the Game of Simulated Curling
  41. Deep Residual Learning for Image Recognition
  42. Deep Transfer Learning with Joint Adaptation Networks
  43. Dense Passage Retrieval for Open-Domain Question Answering
  44. Describtion of Text Mining
  45. Dialog-based Language Learning
  46. Do Deep Neural Networks Suffer from Crowding
  47. Dynamic Routing Between Capsules
  48. Dynamic Routing Between Capsules STAT946
  49. Dynamic Routing Between Capsulesl
  50. Efficient kNN Classification with Different Numbers of Nearest Neighbors

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