User contributions for S472liu
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30 November 2017
- 13:3413:34, 30 November 2017 diff hist +103 STAT946F17/Decoding with Value Networks for Neural Machine Translation →References
- 13:3313:33, 30 November 2017 diff hist +238 STAT946F17/Decoding with Value Networks for Neural Machine Translation →Background Knowledge
28 November 2017
- 00:1700:17, 28 November 2017 diff hist +75 STAT946F17/Conditional Image Generation with PixelCNN Decoders →Reference
- 00:1600:16, 28 November 2017 diff hist −57 STAT946F17/Conditional Image Generation with PixelCNN Decoders →Conditional PixelCNN
- 00:1400:14, 28 November 2017 diff hist +143 STAT946F17/Conditional Image Generation with PixelCNN Decoders →PixelCNN Auto-Encoders
27 November 2017
- 23:5123:51, 27 November 2017 diff hist +170 Conditional Image Synthesis with Auxiliary Classifier GANs →Higher Resolution Images are more Discriminable
22 November 2017
- 23:1523:15, 22 November 2017 diff hist +131 Deep Exploration via Bootstrapped DQN →Why choose bootstrap and not dropout?
20 November 2017
- 23:0723:07, 20 November 2017 diff hist −1 Modular Multitask Reinforcement Learning with Policy Sketches →Policy Optimization
- 23:0623:06, 20 November 2017 diff hist +214 Modular Multitask Reinforcement Learning with Policy Sketches →Policy Optimization
- 23:0423:04, 20 November 2017 diff hist +130 Modular Multitask Reinforcement Learning with Policy Sketches →Policy Optimization
- 22:5022:50, 20 November 2017 diff hist +88 Universal Style Transfer via Feature Transforms →Whitening Transform
- 22:4622:46, 20 November 2017 diff hist +248 Universal Style Transfer via Feature Transforms →Related Work
- 22:3522:35, 20 November 2017 diff hist +288 Deep Alternative Neural Network: Exploring Contexts As Early As Possible For Action Recognition →Volumetric Pyramid Pooling Layer
- 22:2722:27, 20 November 2017 diff hist +246 Deep Alternative Neural Network: Exploring Contexts As Early As Possible For Action Recognition →Alternative Layer
16 November 2017
- 13:4013:40, 16 November 2017 diff hist +173 "Why Should I Trust You?": Explaining the Predictions of Any Classifier →Desired Characteristics for Explanations
- 13:1913:19, 16 November 2017 diff hist −1 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks →Remarks
- 13:1213:12, 16 November 2017 diff hist −7 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks →Part III: Bootstrap for Word Allocation
- 12:5312:53, 16 November 2017 diff hist −1 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks →Introduction
14 November 2017
- 00:3800:38, 14 November 2017 diff hist +54 Imagination-Augmented Agents for Deep Reinforcement Learning →Reference
- 00:3600:36, 14 November 2017 diff hist +224 Imagination-Augmented Agents for Deep Reinforcement Learning →Introduction
- 00:2300:23, 14 November 2017 diff hist +164 Dialog-based Language Learning →Related Work
6 November 2017
- 21:0221:02, 6 November 2017 diff hist +304 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →Introduction
- 20:5620:56, 6 November 2017 diff hist +145 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →How to increase RF size?
- 20:4620:46, 6 November 2017 diff hist +6 Convolutional Sequence to Sequence Learning →Introduction
- 20:4620:46, 6 November 2017 diff hist +270 Convolutional Sequence to Sequence Learning →Results
5 November 2017
- 18:1818:18, 5 November 2017 diff hist +1 Learning the Number of Neurons in Deep Networks →Model Training and Model Selection
- 18:1618:16, 5 November 2017 diff hist −20 Learning the Number of Neurons in Deep Networks →Model Training and Model Selection
- 18:1318:13, 5 November 2017 diff hist 0 Learning the Number of Neurons in Deep Networks →Model Training and Model Selection
- 18:1318:13, 5 November 2017 diff hist +35 Learning the Number of Neurons in Deep Networks →Model Training and Model Selection
- 18:0918:09, 5 November 2017 diff hist +1 Learning the Number of Neurons in Deep Networks →Model Training and Model Selection
- 18:0918:09, 5 November 2017 diff hist 0 N File:222222.png No edit summary current
- 18:0818:08, 5 November 2017 diff hist +4 Learning the Number of Neurons in Deep Networks →Model Training and Model Selection
- 18:0718:07, 5 November 2017 diff hist 0 N File:222.png No edit summary current
- 18:0618:06, 5 November 2017 diff hist +27 Learning the Number of Neurons in Deep Networks →Model Training and Model Selection
- 17:5017:50, 5 November 2017 diff hist +2 Learning the Number of Neurons in Deep Networks →Model Training and Model Selection
- 17:5017:50, 5 November 2017 diff hist +3 Learning the Number of Neurons in Deep Networks →Model Training and Model Selection
- 17:3917:39, 5 November 2017 diff hist +2 Learning the Number of Neurons in Deep Networks →Model Training and Model Selection
- 15:1615:16, 5 November 2017 diff hist 0 Learning the Number of Neurons in Deep Networks →Model Training and Model Selection
- 00:5900:59, 5 November 2017 diff hist +1 Learning the Number of Neurons in Deep Networks →Model Training and Model Selection
- 00:5800:58, 5 November 2017 diff hist +1 Learning the Number of Neurons in Deep Networks →Model Training and Model Selection
4 November 2017
- 20:5720:57, 4 November 2017 diff hist +16 Learning the Number of Neurons in Deep Networks →Set Up
- 20:4320:43, 4 November 2017 diff hist −1 Learning the Number of Neurons in Deep Networks →Related Work
1 November 2017
- 23:0223:02, 1 November 2017 diff hist +182 STAT946F17/ Learning Important Features Through Propagating Activation Differences →Rescale Rule
30 October 2017
- 20:2120:21, 30 October 2017 diff hist +229 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary →Meta-analysis approaches
- 19:5619:56, 30 October 2017 diff hist +287 Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition →Boosting Method
- 19:4519:45, 30 October 2017 diff hist +3 Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition →Boosting Method
24 October 2017
- 13:5213:52, 24 October 2017 diff hist 0 Learning What and Where to Draw →Generative Adversarial Networks
- 13:5013:50, 24 October 2017 diff hist 0 Learning What and Where to Draw →Structured Joint Embedding of Visual Descriptions and Images
- 13:0113:01, 24 October 2017 diff hist +6 STAT946F17/ Learning a Probabilistic Latent Space of Object Shapes via 3D GAN →3D-VAE-GANs
- 12:5912:59, 24 October 2017 diff hist +1 STAT946F17/ Learning a Probabilistic Latent Space of Object Shapes via 3D GAN →Methodology