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Showing below up to 50 results in range #21 to #70.

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
51. Deep Residual Learning for Image Recognition Summary
52. Deep Transfer Learning with Joint Adaptation Networks
53. Dense Passage Retrieval for Open-Domain Question Answering
54. Depthwise Convolution Is All You Need for Learning Multiple Visual Domains
55. Describtion of Text Mining
56. Dialog-based Language Learning
57. Do Deep Neural Networks Suffer from Crowding
58. Do Vision Transformers See Like CNN
59. Don't Just Blame Over-parametrization
60. Don't Just Blame Over-parametrization Summary
61. Dynamic Routing Between Capsules
62. Dynamic Routing Between Capsules STAT946
63. Dynamic Routing Between Capsulesl
64. Efficient kNN Classification with Different Numbers of Nearest Neighbors
65. End-to-End Differentiable Adversarial Imitation Learning
66. End to end Active Object Tracking via Reinforcement Learning
67. Evaluating Machine Accuracy on ImageNet
68. Extreme Multi-label Text Classification
69. F18-STAT841-Proposal
70. F18-STAT946-Proposal