User contributions for S472liu
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30 November 2017
- 12:3412:34, 30 November 2017 diff hist +103 STAT946F17/Decoding with Value Networks for Neural Machine Translation →References
- 12:3312:33, 30 November 2017 diff hist +238 STAT946F17/Decoding with Value Networks for Neural Machine Translation →Background Knowledge
27 November 2017
- 23:1723:17, 27 November 2017 diff hist +75 STAT946F17/Conditional Image Generation with PixelCNN Decoders →Reference
- 23:1623:16, 27 November 2017 diff hist −57 STAT946F17/Conditional Image Generation with PixelCNN Decoders →Conditional PixelCNN
- 23:1423:14, 27 November 2017 diff hist +143 STAT946F17/Conditional Image Generation with PixelCNN Decoders →PixelCNN Auto-Encoders
- 22:5122:51, 27 November 2017 diff hist +170 Conditional Image Synthesis with Auxiliary Classifier GANs →Higher Resolution Images are more Discriminable
22 November 2017
- 22:1522:15, 22 November 2017 diff hist +131 Deep Exploration via Bootstrapped DQN →Why choose bootstrap and not dropout?
20 November 2017
- 22:0722:07, 20 November 2017 diff hist −1 Modular Multitask Reinforcement Learning with Policy Sketches →Policy Optimization
- 22:0622:06, 20 November 2017 diff hist +214 Modular Multitask Reinforcement Learning with Policy Sketches →Policy Optimization
- 22:0422:04, 20 November 2017 diff hist +130 Modular Multitask Reinforcement Learning with Policy Sketches →Policy Optimization
- 21:5021:50, 20 November 2017 diff hist +88 Universal Style Transfer via Feature Transforms →Whitening Transform
- 21:4621:46, 20 November 2017 diff hist +248 Universal Style Transfer via Feature Transforms →Related Work
- 21:3521:35, 20 November 2017 diff hist +288 Deep Alternative Neural Network: Exploring Contexts As Early As Possible For Action Recognition →Volumetric Pyramid Pooling Layer
- 21:2721:27, 20 November 2017 diff hist +246 Deep Alternative Neural Network: Exploring Contexts As Early As Possible For Action Recognition →Alternative Layer
16 November 2017
- 12:4012:40, 16 November 2017 diff hist +173 "Why Should I Trust You?": Explaining the Predictions of Any Classifier →Desired Characteristics for Explanations
- 12:1912:19, 16 November 2017 diff hist −1 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks →Remarks
- 12:1212:12, 16 November 2017 diff hist −7 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks →Part III: Bootstrap for Word Allocation
- 11:5311:53, 16 November 2017 diff hist −1 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks →Introduction
13 November 2017
- 23:3823:38, 13 November 2017 diff hist +54 Imagination-Augmented Agents for Deep Reinforcement Learning →Reference
- 23:3623:36, 13 November 2017 diff hist +224 Imagination-Augmented Agents for Deep Reinforcement Learning →Introduction
- 23:2323:23, 13 November 2017 diff hist +164 Dialog-based Language Learning →Related Work
6 November 2017
- 20:0220:02, 6 November 2017 diff hist +304 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →Introduction
- 19:5619:56, 6 November 2017 diff hist +145 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →How to increase RF size?
- 19:4619:46, 6 November 2017 diff hist +6 Convolutional Sequence to Sequence Learning →Introduction
- 19:4619:46, 6 November 2017 diff hist +270 Convolutional Sequence to Sequence Learning →Results
5 November 2017
- 17:1817:18, 5 November 2017 diff hist +1 Learning the Number of Neurons in Deep Networks →Model Training and Model Selection
- 17:1617:16, 5 November 2017 diff hist −20 Learning the Number of Neurons in Deep Networks →Model Training and Model Selection
- 17:1317:13, 5 November 2017 diff hist 0 Learning the Number of Neurons in Deep Networks →Model Training and Model Selection
- 17:1317:13, 5 November 2017 diff hist +35 Learning the Number of Neurons in Deep Networks →Model Training and Model Selection
- 17:0917:09, 5 November 2017 diff hist +1 Learning the Number of Neurons in Deep Networks →Model Training and Model Selection
- 17:0917:09, 5 November 2017 diff hist 0 N File:222222.png No edit summary current
- 17:0817:08, 5 November 2017 diff hist +4 Learning the Number of Neurons in Deep Networks →Model Training and Model Selection
- 17:0717:07, 5 November 2017 diff hist 0 N File:222.png No edit summary current
- 17:0617:06, 5 November 2017 diff hist +27 Learning the Number of Neurons in Deep Networks →Model Training and Model Selection
- 16:5016:50, 5 November 2017 diff hist +2 Learning the Number of Neurons in Deep Networks →Model Training and Model Selection
- 16:5016:50, 5 November 2017 diff hist +3 Learning the Number of Neurons in Deep Networks →Model Training and Model Selection
- 16:3916:39, 5 November 2017 diff hist +2 Learning the Number of Neurons in Deep Networks →Model Training and Model Selection
- 14:1614:16, 5 November 2017 diff hist 0 Learning the Number of Neurons in Deep Networks →Model Training and Model Selection
4 November 2017
- 23:5923:59, 4 November 2017 diff hist +1 Learning the Number of Neurons in Deep Networks →Model Training and Model Selection
- 23:5823:58, 4 November 2017 diff hist +1 Learning the Number of Neurons in Deep Networks →Model Training and Model Selection
- 19:5719:57, 4 November 2017 diff hist +16 Learning the Number of Neurons in Deep Networks →Set Up
- 19:4319:43, 4 November 2017 diff hist −1 Learning the Number of Neurons in Deep Networks →Related Work
1 November 2017
- 22:0222:02, 1 November 2017 diff hist +182 STAT946F17/ Learning Important Features Through Propagating Activation Differences →Rescale Rule
30 October 2017
- 19:2119:21, 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
- 18:5618:56, 30 October 2017 diff hist +287 Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition →Boosting Method
- 18:4518:45, 30 October 2017 diff hist +3 Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition →Boosting Method
24 October 2017
- 12:5212:52, 24 October 2017 diff hist 0 Learning What and Where to Draw →Generative Adversarial Networks
- 12:5012:50, 24 October 2017 diff hist 0 Learning What and Where to Draw →Structured Joint Embedding of Visual Descriptions and Images
- 12:0112:01, 24 October 2017 diff hist +6 STAT946F17/ Learning a Probabilistic Latent Space of Object Shapes via 3D GAN →3D-VAE-GANs
- 11:5911:59, 24 October 2017 diff hist +1 STAT946F17/ Learning a Probabilistic Latent Space of Object Shapes via 3D GAN →Methodology