User contributions for C3zhi
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22 November 2017
- 13:0213:02, 22 November 2017 diff hist −2 STAT946F17/ Dance Dance Convolution →Introduction
- 13:0213:02, 22 November 2017 diff hist 0 STAT946F17/ Dance Dance Convolution →Introduction
- 13:0113:01, 22 November 2017 diff hist 0 File:Figure1.png C3zhi uploaded a new version of File:Figure1.png
- 12:5912:59, 22 November 2017 diff hist +39 STAT946F17/ Dance Dance Convolution →Introduction
- 12:5812:58, 22 November 2017 diff hist 0 N File:Figure1.png No edit summary
- 12:5712:57, 22 November 2017 diff hist −40 STAT946F17/ Dance Dance Convolution →Introduction
- 12:5612:56, 22 November 2017 diff hist +40 STAT946F17/ Dance Dance Convolution →Introduction
- 01:2901:29, 22 November 2017 diff hist +1,084 STAT946F17/ Dance Dance Convolution →Introduction
21 November 2017
- 11:4611:46, 21 November 2017 diff hist −182 Modular Multitask Reinforcement Learning with Policy Sketches →Zero-shot and Adaptation Learning
- 11:3711:37, 21 November 2017 diff hist −83 Modular Multitask Reinforcement Learning with Policy Sketches →Ablations
- 10:4910:49, 21 November 2017 diff hist +44 Deep Alternative Neural Network: Exploring Contexts As Early As Possible For Action Recognition →Volumetric Pyramid Pooling Layer
- 10:4510:45, 21 November 2017 diff hist +7 Deep Alternative Neural Network: Exploring Contexts As Early As Possible For Action Recognition →Volumetric Pyramid Pooling Layer
- 10:4110:41, 21 November 2017 diff hist +3 Deep Alternative Neural Network: Exploring Contexts As Early As Possible For Action Recognition →Alternative Layer
- 10:4010:40, 21 November 2017 diff hist +17 Deep Alternative Neural Network: Exploring Contexts As Early As Possible For Action Recognition →Alternative Layer
- 10:3010:30, 21 November 2017 diff hist +62 Universal Style Transfer via Feature Transforms →Content/Style Balance
- 10:2510:25, 21 November 2017 diff hist +46 Universal Style Transfer via Feature Transforms →Colour Transform
16 November 2017
- 13:2813:28, 16 November 2017 diff hist −6 "Why Should I Trust You?": Explaining the Predictions of Any Classifier →Sparse Linear Explanations
- 13:2713:27, 16 November 2017 diff hist 0 "Why Should I Trust You?": Explaining the Predictions of Any Classifier →Sparse Linear Explanations
- 13:2613:26, 16 November 2017 diff hist −1 "Why Should I Trust You?": Explaining the Predictions of Any Classifier →Sparse Linear Explanations
- 13:2613:26, 16 November 2017 diff hist +2 "Why Should I Trust You?": Explaining the Predictions of Any Classifier →Sparse Linear Explanations
- 12:3912:39, 16 November 2017 diff hist +5 STAT946F17/ Teaching Machines to Describe Images via Natural Language Feedback →Policy Gradient Optimization using Natural Language Feedback
- 12:3712:37, 16 November 2017 diff hist −14 STAT946F17/ Teaching Machines to Describe Images via Natural Language Feedback →Policy Gradient Optimization using Natural Language Feedback
- 12:3512:35, 16 November 2017 diff hist +107 STAT946F17/ Teaching Machines to Describe Images via Natural Language Feedback →Policy Gradient Optimization using Natural Language Feedback
- 12:2812:28, 16 November 2017 diff hist −2 STAT946F17/ Teaching Machines to Describe Images via Natural Language Feedback →Feedback Network
- 12:2812:28, 16 November 2017 diff hist +157 STAT946F17/ Teaching Machines to Describe Images via Natural Language Feedback →Feedback Network
- 12:1712:17, 16 November 2017 diff hist 0 STAT946F17/ Teaching Machines to Describe Images via Natural Language Feedback →Introduction
- 12:1512:15, 16 November 2017 diff hist +110 STAT946F17/ Teaching Machines to Describe Images via Natural Language Feedback →Introduction
- 12:0412:04, 16 November 2017 diff hist +6 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks →Part III: Bootstrap for Word Allocation
- 12:0312:03, 16 November 2017 diff hist +2 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks →Part III: Bootstrap for Word Allocation
- 12:0212:02, 16 November 2017 diff hist +30 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks →Part III: Bootstrap for Word Allocation
14 November 2017
- 11:2511:25, 14 November 2017 diff hist +128 Imagination-Augmented Agents for Deep Reinforcement Learning →MiniPacman
- 11:0911:09, 14 November 2017 diff hist 0 Imagination-Augmented Agents for Deep Reinforcement Learning →Imperfections
- 11:0311:03, 14 November 2017 diff hist +58 Imagination-Augmented Agents for Deep Reinforcement Learning →Imperfections
- 10:3510:35, 14 November 2017 diff hist +157 STAT946F17/ Coupled GAN →Cross-Domain Image Transformation
- 10:3110:31, 14 November 2017 diff hist +4 STAT946F17/ Coupled GAN →Unsupervised Domain Adaptation (UDA)
- 10:3010:30, 14 November 2017 diff hist +82 STAT946F17/ Coupled GAN →Unsupervised Domain Adaptation (UDA)
- 10:2710:27, 14 November 2017 diff hist +246 STAT946F17/ Coupled GAN →Color and Depth Images
- 01:1401:14, 14 November 2017 diff hist +321 Dialog-based Language Learning →Training strategies
- 00:5700:57, 14 November 2017 diff hist +101 Dialog-based Language Learning →Training strategies
- 00:5300:53, 14 November 2017 diff hist 0 Dialog-based Language Learning →Learning models
9 November 2017
- 12:4012:40, 9 November 2017 diff hist +2 STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study →Experiment 3: Shape bias statistics between and across models:
- 12:3912:39, 9 November 2017 diff hist +219 STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study →Evaluation Criteria
- 11:4111:41, 9 November 2017 diff hist −81 Learning the Number of Neurons in Deep Networks →Model Training and Model Selection
7 November 2017
- 12:2012:20, 7 November 2017 diff hist −1 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Non-uniform Kernels
- 12:1912:19, 7 November 2017 diff hist +9 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Non-uniform Kernels
- 12:1712:17, 7 November 2017 diff hist +119 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Non-uniform Kernels
- 11:5811:58, 7 November 2017 diff hist 0 m meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →Introduction
- 11:5811:58, 7 November 2017 diff hist +1 m meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →Introduction
- 11:5811:58, 7 November 2017 diff hist −2 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →Introduction
- 11:5711:57, 7 November 2017 diff hist +1 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →Introduction