User contributions
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- 20:27, 30 November 2018 (diff | hist) . . (+988) . . stat946w18/Wavelet Pooling For Convolutional Neural Networks (Detail in conclusion and proposed method.)
- 20:22, 30 November 2018 (diff | hist) . . (+128) . . stat946w18/Wavelet Pooling For Convolutional Neural Networks
- 20:19, 30 November 2018 (diff | hist) . . (0) . . stat946w18/Wavelet Pooling For Convolutional Neural Networks (grammer update)
- 20:17, 30 November 2018 (diff | hist) . . (+66) . . stat946w18/Towards Image Understanding From Deep Compression Without Decoding
- 20:15, 30 November 2018 (diff | hist) . . (+3) . . stat946w18/Towards Image Understanding From Deep Compression Without Decoding (Grammer update.)
- 20:12, 30 November 2018 (diff | hist) . . (+443) . . Annotating Object Instances with a Polygon RNN (Some details in training, grammer update)
- 20:05, 30 November 2018 (diff | hist) . . (+29) . . Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias (format update)
- 20:04, 30 November 2018 (diff | hist) . . (-1) . . Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias (grammer update)
- 20:02, 30 November 2018 (diff | hist) . . (+322) . . Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias (some details of why certain features are included)
- 19:53, 30 November 2018 (diff | hist) . . (+65) . . conditional neural process (Format update.)
- 19:49, 30 November 2018 (diff | hist) . . (+459) . . conditional neural process (Example in Model, fixed mistake about GP)
- 19:40, 30 November 2018 (diff | hist) . . (0) . . A Bayesian Perspective on Generalization and Stochastic Gradient Descent
- 19:40, 30 November 2018 (diff | hist) . . (+12) . . A Bayesian Perspective on Generalization and Stochastic Gradient Descent
- 19:39, 30 November 2018 (diff | hist) . . (+68) . . A Bayesian Perspective on Generalization and Stochastic Gradient Descent
- 19:36, 30 November 2018 (diff | hist) . . (+78) . . A Bayesian Perspective on Generalization and Stochastic Gradient Descent
- 19:34, 30 November 2018 (diff | hist) . . (+64) . . A Bayesian Perspective on Generalization and Stochastic Gradient Descent (Grammer update)
- 19:29, 30 November 2018 (diff | hist) . . (0) . . A Bayesian Perspective on Generalization and Stochastic Gradient Descent
- 19:29, 30 November 2018 (diff | hist) . . (+13) . . A Bayesian Perspective on Generalization and Stochastic Gradient Descent
- 19:28, 30 November 2018 (diff | hist) . . (0) . . A Bayesian Perspective on Generalization and Stochastic Gradient Descent (Format update.)
- 19:20, 30 November 2018 (diff | hist) . . (+143) . . Deep Reinforcement Learning in Continuous Action Spaces a Case Study in the Game of Simulated Curling
- 19:17, 30 November 2018 (diff | hist) . . (+13) . . Deep Reinforcement Learning in Continuous Action Spaces a Case Study in the Game of Simulated Curling (Format update.)
- 19:15, 30 November 2018 (diff | hist) . . (+385) . . Deep Reinforcement Learning in Continuous Action Spaces a Case Study in the Game of Simulated Curling
- 19:11, 30 November 2018 (diff | hist) . . (+4) . . Deep Reinforcement Learning in Continuous Action Spaces a Case Study in the Game of Simulated Curling
- 19:11, 30 November 2018 (diff | hist) . . (+30) . . Deep Reinforcement Learning in Continuous Action Spaces a Case Study in the Game of Simulated Curling
- 19:03, 30 November 2018 (diff | hist) . . (+2) . . CapsuleNets
- 19:02, 30 November 2018 (diff | hist) . . (-2) . . CapsuleNets
- 18:59, 30 November 2018 (diff | hist) . . (+60) . . Unsupervised Neural Machine Translation
- 18:54, 30 November 2018 (diff | hist) . . (+289) . . Learning to Teach
- 18:50, 30 November 2018 (diff | hist) . . (+36) . . Hierarchical Representations for Efficient Architecture Search
- 18:46, 30 November 2018 (diff | hist) . . (+56) . . Hierarchical Representations for Efficient Architecture Search
- 18:41, 30 November 2018 (diff | hist) . . (+1) . . Countering Adversarial Images Using Input Transformations
- 18:41, 30 November 2018 (diff | hist) . . (-1) . . Countering Adversarial Images Using Input Transformations
- 18:40, 30 November 2018 (diff | hist) . . (+114) . . Countering Adversarial Images Using Input Transformations
- 18:38, 30 November 2018 (diff | hist) . . (+1,065) . . Countering Adversarial Images Using Input Transformations
- 18:33, 30 November 2018 (diff | hist) . . (+359) . . Obfuscated Gradients Give a False Sense of Security Circumventing Defenses to Adversarial Examples
- 18:28, 30 November 2018 (diff | hist) . . (+1) . . Obfuscated Gradients Give a False Sense of Security Circumventing Defenses to Adversarial Examples
- 18:26, 30 November 2018 (diff | hist) . . (+9) . . Obfuscated Gradients Give a False Sense of Security Circumventing Defenses to Adversarial Examples
- 18:22, 30 November 2018 (diff | hist) . . (+145) . . Obfuscated Gradients Give a False Sense of Security Circumventing Defenses to Adversarial Examples
- 18:11, 30 November 2018 (diff | hist) . . (+137) . . Unsupervised Neural Machine Translation
- 18:11, 30 November 2018 (diff | hist) . . (+282) . . Unsupervised Neural Machine Translation
- 17:52, 30 November 2018 (diff | hist) . . (+356) . . Learning to Teach
- 17:37, 30 November 2018 (diff | hist) . . (+57) . . Learning to Teach
- 22:54, 29 November 2018 (diff | hist) . . (+305) . . ShakeDrop Regularization
- 20:48, 29 November 2018 (diff | hist) . . (+189) . . DON'T DECAY THE LEARNING RATE , INCREASE THE BATCH SIZE
- 20:45, 29 November 2018 (diff | hist) . . (+39) . . DON'T DECAY THE LEARNING RATE , INCREASE THE BATCH SIZE
- 20:44, 29 November 2018 (diff | hist) . . (+218) . . DON'T DECAY THE LEARNING RATE , INCREASE THE BATCH SIZE
- 20:40, 29 November 2018 (diff | hist) . . (+24) . . DON'T DECAY THE LEARNING RATE , INCREASE THE BATCH SIZE
- 20:39, 29 November 2018 (diff | hist) . . (-4) . . DON'T DECAY THE LEARNING RATE , INCREASE THE BATCH SIZE
- 20:38, 29 November 2018 (diff | hist) . . (0) . . DON'T DECAY THE LEARNING RATE , INCREASE THE BATCH SIZE
- 20:36, 29 November 2018 (diff | hist) . . (-5) . . DETECTING STATISTICAL INTERACTIONS FROM NEURAL NETWORK WEIGHTS
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