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Showing below up to 100 results in range #1 to #100.

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
51. Don't Just Blame Over-parametrization Summary
52. Dynamic Routing Between Capsules
53. Dynamic Routing Between Capsules STAT946
54. Dynamic Routing Between Capsulesl
55. End-to-End Differentiable Adversarial Imitation Learning
56. End to end Active Object Tracking via Reinforcement Learning
57. Evaluating Machine Accuracy on ImageNet
58. Extreme Multi-label Text Classification
59. Fairness Without Demographics in Repeated Loss Minimization
60. FeUdal Networks for Hierarchical Reinforcement Learning
61. Fix your classifier: the marginal value of training the last weight layer
62. From Variational to Deterministic Autoencoders
63. Functional regularisation for continual learning with gaussian processes
64. Generating Image Descriptions
65. Going Deeper with Convolutions
66. GradientLess Descent
67. Gradient Episodic Memory for Continual Learning
68. Graph Structure of Neural Networks
69. Hash Embeddings for Efficient Word Representations
70. Hierarchical Question-Image Co-Attention for Visual Question Answering
71. IPBoost
72. Imagination-Augmented Agents for Deep Reinforcement Learning
73. Imagination Augmented Agents for Deep Reinforcement Learning
74. Improving neural networks by preventing co-adaption of feature detectors
75. Improving neural networks by preventing co-adaption of feature detectors 2020 Fall
76. Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition
77. Influenza Forecasting Framework based on Gaussian Processes
78. Influenza Forecasting Framework based on Gaussian processes Summary
79. Label-Free Supervision of Neural Networks with Physics and Domain Knowledge
80. Learning Combinatorial Optimzation
81. Learning The Difference That Makes A Difference With Counterfactually-Augmented Data
82. Learning to Navigate in Cities Without a Map
83. Learning to Teach
84. Loss Function Search for Face Recognition
85. MULTI-VIEW DATA GENERATION WITHOUT VIEW SUPERVISION
86. Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction
87. MarrNet: 3D Shape Reconstruction via 2.5D Sketches
88. Mask RCNN
89. Memory-Based Parameter Adaptation
90. Meta-Learning-For-Domain Generalization
91. Meta-Learning For Domain Generalization
92. ModelFramework.jpg
93. Model Agnostic Learning of Semantic Features
94. Multi-scale Dense Networks for Resource Efficient Image Classification
95. Music Recommender System Based using CRNN
96. Neural Audio Synthesis of Musical Notes with WaveNet autoencoders
97. Neural ODEs
98. Obfuscated Gradients Give a False Sense of Security Circumventing Defenses to Adversarial Examples
99. On The Convergence Of ADAM And Beyond
100. One-Shot Imitation Learning