User contributions for H4lyu
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12 November 2017
- 18:2118:21, 12 November 2017 diff hist +62 Imagination-Augmented Agents for Deep Reinforcement Learning →Sokoban
- 17:1317:13, 12 November 2017 diff hist +136 m Imagination-Augmented Agents for Deep Reinforcement Learning →Conclusion
- 16:4716:47, 12 November 2017 diff hist +102 m Dialog-based Language Learning →Dialog-based Supervision tasks
- 16:4216:42, 12 November 2017 diff hist +124 m Dialog-based Language Learning →Experiments
- 15:0315:03, 12 November 2017 diff hist +483 STAT946F17/ Coupled GAN →Coupled GAN (CoGAN) Framework and Learning
8 November 2017
- 19:0619:06, 8 November 2017 diff hist +215 STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study →Inductive Biases & Probe Data
- 18:3618:36, 8 November 2017 diff hist +98 FeUdal Networks for Hierarchical Reinforcement Learning →ATARI action repeat transfer
- 18:1318:13, 8 November 2017 diff hist +186 m FeUdal Networks for Hierarchical Reinforcement Learning →Related Work
- 18:0518:05, 8 November 2017 diff hist +98 Learning the Number of Neurons in Deep Networks →Critique
- 18:0118:01, 8 November 2017 diff hist +131 m Learning the Number of Neurons in Deep Networks →Critique
- 17:4217:42, 8 November 2017 diff hist +79 m Learning the Number of Neurons in Deep Networks →Model Training and Model Selection
7 November 2017
- 00:4400:44, 7 November 2017 diff hist +441 Convolutional Sequence to Sequence Learning No edit summary
- 00:2800:28, 7 November 2017 diff hist +2 m Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Remarks
- 00:2700:27, 7 November 2017 diff hist +864 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Theoretical Results
- 00:1700:17, 7 November 2017 diff hist +98 m Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Non-uniform Kernels
- 00:0300:03, 7 November 2017 diff hist +88 m meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →Results
30 October 2017
- 23:1723:17, 30 October 2017 diff hist +9 m Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition →References
- 23:1323:13, 30 October 2017 diff hist +117 m Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition →IB-CNN Architecture
- 23:1123:11, 30 October 2017 diff hist +285 Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition →IB-CNN Architecture
- 23:0123:01, 30 October 2017 diff hist +201 m Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition →References
- 23:0023:00, 30 October 2017 diff hist +211 m Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition →Related Work
27 October 2017
- 22:3022:30, 27 October 2017 diff hist +1 m STAT946F17/ Learning Important Features Through Propagating Activation Differences →References
- 22:2922:29, 27 October 2017 diff hist +8 m STAT946F17/ Learning Important Features Through Propagating Activation Differences →DNA motif detection
- 22:2922:29, 27 October 2017 diff hist +53 m STAT946F17/ Learning Important Features Through Propagating Activation Differences →References
- 22:2822:28, 27 October 2017 diff hist +1,414 STAT946F17/ Learning Important Features Through Propagating Activation Differences →Numerical results
- 17:2717:27, 27 October 2017 diff hist +771 STAT946F17/ Learning Important Features Through Propagating Activation Differences →Numerical results
- 17:1117:11, 27 October 2017 diff hist +86 m STAT946F17/ Learning Important Features Through Propagating Activation Differences →Failures of traditional methods
- 17:0917:09, 27 October 2017 diff hist +727 STAT946F17/ Learning Important Features Through Propagating Activation Differences →Failure of traditional methods
- 16:5116:51, 27 October 2017 diff hist +441 m STAT946F17/ Learning Important Features Through Propagating Activation Differences →DeepLIFT scheme
- 13:4913:49, 27 October 2017 diff hist +2 m STAT946F17/ Learning Important Features Through Propagating Activation Differences →DeepLIFT scheme
- 13:4813:48, 27 October 2017 diff hist −77 m STAT946F17/ Learning Important Features Through Propagating Activation Differences →DeepLIFT scheme
- 13:4813:48, 27 October 2017 diff hist +1,901 STAT946F17/ Learning Important Features Through Propagating Activation Differences →DeepLIFT scheme
- 13:1813:18, 27 October 2017 diff hist +656 m STAT946F17/ Learning Important Features Through Propagating Activation Differences →DeepLIFT scheme
26 October 2017
- 23:4223:42, 26 October 2017 diff hist +1 m STAT946F17/ Learning Important Features Through Propagating Activation Differences →Sensitivity Analysis
- 23:4223:42, 26 October 2017 diff hist −8 m STAT946F17/ Learning Important Features Through Propagating Activation Differences →Sensitivity Analysis
- 23:4123:41, 26 October 2017 diff hist −1 m STAT946F17/ Learning Important Features Through Propagating Activation Differences →DeepLIFT scheme
- 23:4123:41, 26 October 2017 diff hist +33 m STAT946F17/ Learning Important Features Through Propagating Activation Differences →DeepLIFT scheme
- 23:4023:40, 26 October 2017 diff hist +347 STAT946F17/ Learning Important Features Through Propagating Activation Differences →DeepLIFT scheme
- 23:3523:35, 26 October 2017 diff hist −1 m STAT946F17/ Learning Important Features Through Propagating Activation Differences →References
- 23:3523:35, 26 October 2017 diff hist +136 m STAT946F17/ Learning Important Features Through Propagating Activation Differences →References
- 23:3323:33, 26 October 2017 diff hist +105 m STAT946F17/ Learning Important Features Through Propagating Activation Differences →Sensitivity Analysis
- 23:2123:21, 26 October 2017 diff hist +5 m STAT946F17/ Learning Important Features Through Propagating Activation Differences →Sensitivity Analysis
- 23:2123:21, 26 October 2017 diff hist +104 m STAT946F17/ Learning Important Features Through Propagating Activation Differences →Sensitivity Analysis
- 23:1923:19, 26 October 2017 diff hist +931 m STAT946F17/ Learning Important Features Through Propagating Activation Differences →Sensitivity Analysis
- 22:5622:56, 26 October 2017 diff hist +71 m f17Stat946PaperSignUp →Paper presentation
- 22:5622:56, 26 October 2017 diff hist +777 N STAT946F17/ Learning Important Features Through Propagating Activation Differences Created page with "This is a summary of ICML 2017 paper [1]. == Introduction == Deep neuron network is purported for its "black box" nature which is a barrier to adoption in applications where..."
- 22:3122:31, 26 October 2017 diff hist +285 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary →Bias-Variance Trade-Off
- 22:2622:26, 26 October 2017 diff hist +924 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary →Introduction to some Basic Concepts and Issues
2 October 2017
- 19:3219:32, 2 October 2017 diff hist +78 m f17Stat946PaperSignUp →Paper presentation
- 19:2319:23, 2 October 2017 diff hist +150 m f17Stat946PaperSignUp →Paper presentation