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Showing below up to 50 results in range #1 to #50.

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