User contributions for H4lyu
Jump to navigation
Jump to search
21 November 2017
- 13:5113:51, 21 November 2017 diff hist +86 m Deep Exploration via Bootstrapped DQN →Bootstrapping [[#References|[2,3]]]
20 November 2017
- 22:4622:46, 20 November 2017 diff hist +266 Deep Exploration via Bootstrapped DQN →Q Learning and Deep Q Networks [[#References|[5]]]
- 22:0222:02, 20 November 2017 diff hist +61 m Unsupervised Domain Adaptation with Residual Transfer Networks →Conclusion
- 21:5921:59, 20 November 2017 diff hist +226 m Unsupervised Domain Adaptation with Residual Transfer Networks →Residual Transfer Network
- 18:4718:47, 20 November 2017 diff hist +167 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks →Reinforcement Learning
- 18:4518:45, 20 November 2017 diff hist −2 m Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks minor correction →Reinforcement Learning
- 00:4400:44, 20 November 2017 diff hist +303 Deep Alternative Neural Network: Exploring Contexts As Early As Possible For Action Recognition →Alternative Layer
19 November 2017
- 23:5023:50, 19 November 2017 diff hist +280 Universal Style Transfer via Feature Transforms →Methodology
- 23:2623:26, 19 November 2017 diff hist +284 Modular Multitask Reinforcement Learning with Policy Sketches →Ablations
- 23:1723:17, 19 November 2017 diff hist −358 Modular Multitask Reinforcement Learning with Policy Sketches Undo revision 30875 by H4lyu (talk)
- 23:1223:12, 19 November 2017 diff hist +358 Modular Multitask Reinforcement Learning with Policy Sketches →Introduction & Background
13 November 2017
- 19:3019:30, 13 November 2017 diff hist +118 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks →Remarks
- 19:0419:04, 13 November 2017 diff hist +429 "Why Should I Trust You?": Explaining the Predictions of Any Classifier →Remarks and Critique
- 11:4911:49, 13 November 2017 diff hist −1 m STAT946F17/ Teaching Machines to Describe Images via Natural Language Feedback →Related Works
- 11:4811:48, 13 November 2017 diff hist +303 STAT946F17/ Teaching Machines to Describe Images via Natural Language Feedback →RL with Natural Language Feedback
12 November 2017
- 19:2119:21, 12 November 2017 diff hist +62 Imagination-Augmented Agents for Deep Reinforcement Learning →Sokoban
- 18:1318:13, 12 November 2017 diff hist +136 m Imagination-Augmented Agents for Deep Reinforcement Learning →Conclusion
- 17:4717:47, 12 November 2017 diff hist +102 m Dialog-based Language Learning →Dialog-based Supervision tasks
- 17:4217:42, 12 November 2017 diff hist +124 m Dialog-based Language Learning →Experiments
- 16:0316:03, 12 November 2017 diff hist +483 STAT946F17/ Coupled GAN →Coupled GAN (CoGAN) Framework and Learning
8 November 2017
- 20:0620:06, 8 November 2017 diff hist +215 STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study →Inductive Biases & Probe Data
- 19:3619:36, 8 November 2017 diff hist +98 FeUdal Networks for Hierarchical Reinforcement Learning →ATARI action repeat transfer
- 19:1319:13, 8 November 2017 diff hist +186 m FeUdal Networks for Hierarchical Reinforcement Learning →Related Work
- 19:0519:05, 8 November 2017 diff hist +98 Learning the Number of Neurons in Deep Networks →Critique
- 19:0119:01, 8 November 2017 diff hist +131 m Learning the Number of Neurons in Deep Networks →Critique
- 18:4218:42, 8 November 2017 diff hist +79 m Learning the Number of Neurons in Deep Networks →Model Training and Model Selection
7 November 2017
- 01:4401:44, 7 November 2017 diff hist +441 Convolutional Sequence to Sequence Learning No edit summary
- 01:2801:28, 7 November 2017 diff hist +2 m Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Remarks
- 01:2701:27, 7 November 2017 diff hist +864 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Theoretical Results
- 01:1701:17, 7 November 2017 diff hist +98 m Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Non-uniform Kernels
- 01:0301:03, 7 November 2017 diff hist +88 m meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →Results
31 October 2017
- 00:1700:17, 31 October 2017 diff hist +9 m Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition →References
- 00:1300:13, 31 October 2017 diff hist +117 m Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition →IB-CNN Architecture
- 00:1100:11, 31 October 2017 diff hist +285 Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition →IB-CNN Architecture
- 00:0100:01, 31 October 2017 diff hist +201 m Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition →References
- 00:0000:00, 31 October 2017 diff hist +211 m Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition →Related Work
27 October 2017
- 23:3023:30, 27 October 2017 diff hist +1 m STAT946F17/ Learning Important Features Through Propagating Activation Differences →References
- 23:2923:29, 27 October 2017 diff hist +8 m STAT946F17/ Learning Important Features Through Propagating Activation Differences →DNA motif detection
- 23:2923:29, 27 October 2017 diff hist +53 m STAT946F17/ Learning Important Features Through Propagating Activation Differences →References
- 23:2823:28, 27 October 2017 diff hist +1,414 STAT946F17/ Learning Important Features Through Propagating Activation Differences →Numerical results
- 18:2718:27, 27 October 2017 diff hist +771 STAT946F17/ Learning Important Features Through Propagating Activation Differences →Numerical results
- 18:1118:11, 27 October 2017 diff hist +86 m STAT946F17/ Learning Important Features Through Propagating Activation Differences →Failures of traditional methods
- 18:0918:09, 27 October 2017 diff hist +727 STAT946F17/ Learning Important Features Through Propagating Activation Differences →Failure of traditional methods
- 17:5117:51, 27 October 2017 diff hist +441 m STAT946F17/ Learning Important Features Through Propagating Activation Differences →DeepLIFT scheme
- 14:4914:49, 27 October 2017 diff hist +2 m STAT946F17/ Learning Important Features Through Propagating Activation Differences →DeepLIFT scheme
- 14:4814:48, 27 October 2017 diff hist −77 m STAT946F17/ Learning Important Features Through Propagating Activation Differences →DeepLIFT scheme
- 14:4814:48, 27 October 2017 diff hist +1,901 STAT946F17/ Learning Important Features Through Propagating Activation Differences →DeepLIFT scheme
- 14:1814:18, 27 October 2017 diff hist +656 m STAT946F17/ Learning Important Features Through Propagating Activation Differences →DeepLIFT scheme
- 00:4200:42, 27 October 2017 diff hist +1 m STAT946F17/ Learning Important Features Through Propagating Activation Differences →Sensitivity Analysis
- 00:4200:42, 27 October 2017 diff hist −8 m STAT946F17/ Learning Important Features Through Propagating Activation Differences →Sensitivity Analysis
- 00:4100:41, 27 October 2017 diff hist −1 m STAT946F17/ Learning Important Features Through Propagating Activation Differences →DeepLIFT scheme
- 00:4100:41, 27 October 2017 diff hist +33 m STAT946F17/ Learning Important Features Through Propagating Activation Differences →DeepLIFT scheme
- 00:4000:40, 27 October 2017 diff hist +347 STAT946F17/ Learning Important Features Through Propagating Activation Differences →DeepLIFT scheme
- 00:3500:35, 27 October 2017 diff hist −1 m STAT946F17/ Learning Important Features Through Propagating Activation Differences →References
- 00:3500:35, 27 October 2017 diff hist +136 m STAT946F17/ Learning Important Features Through Propagating Activation Differences →References
- 00:3300:33, 27 October 2017 diff hist +105 m STAT946F17/ Learning Important Features Through Propagating Activation Differences →Sensitivity Analysis
- 00:2100:21, 27 October 2017 diff hist +5 m STAT946F17/ Learning Important Features Through Propagating Activation Differences →Sensitivity Analysis
- 00:2100:21, 27 October 2017 diff hist +104 m STAT946F17/ Learning Important Features Through Propagating Activation Differences →Sensitivity Analysis
- 00:1900:19, 27 October 2017 diff hist +931 m STAT946F17/ Learning Important Features Through Propagating Activation Differences →Sensitivity Analysis
26 October 2017
- 23:5623:56, 26 October 2017 diff hist +71 m f17Stat946PaperSignUp →Paper presentation
- 23:5623:56, 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..."
- 23:3123:31, 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
- 23:2623:26, 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
- 20:3220:32, 2 October 2017 diff hist +78 m f17Stat946PaperSignUp →Paper presentation
- 20:2320:23, 2 October 2017 diff hist +150 m f17Stat946PaperSignUp →Paper presentation