User contributions for Venktech
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14 November 2017
- 20:0920:09, 14 November 2017 diff hist 0 N File:Performance Comparison.png No edit summary current
- 20:0320:03, 14 November 2017 diff hist +2 Deep Alternative Neural Network: Exploring Contexts As Early As Possible For Action Recognition →References
- 20:0320:03, 14 November 2017 diff hist +5 Deep Alternative Neural Network: Exploring Contexts As Early As Possible For Action Recognition →References
- 20:0220:02, 14 November 2017 diff hist +8,114 N Deep Alternative Neural Network: Exploring Contexts As Early As Possible For Action Recognition Created page with "==Introduction== Action recognition deals with recognizing and classifying the actions or activities done by humans or other agents in a video clip. Conventional Neural Netwo..."
- 12:4612:46, 14 November 2017 diff hist +80 f17Stat946PaperSignUp →Paper presentation
- 12:4512:45, 14 November 2017 diff hist +54 f17Stat946PaperSignUp →Paper presentation
13 November 2017
- 23:2123:21, 13 November 2017 diff hist +145 Imagination-Augmented Agents for Deep Reinforcement Learning →Sokoban
- 23:1923:19, 13 November 2017 diff hist +176 Imagination-Augmented Agents for Deep Reinforcement Learning →Sokoban
- 21:3721:37, 13 November 2017 diff hist +483 Dialog-based Language Learning →Training strategies
9 November 2017
- 17:1517:15, 9 November 2017 diff hist +100 STAT946F17/ Coupled GAN →Introduction
- 14:3514:35, 9 November 2017 diff hist +133 STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study →Experiment 1: Shape bias statistics in Inception Baseline:
- 12:3612:36, 9 November 2017 diff hist +268 FeUdal Networks for Hierarchical Reinforcement Learning →Introduction
- 12:1012:10, 9 November 2017 diff hist +222 Learning the Number of Neurons in Deep Networks →Analysis on Testing
- 11:5511:55, 9 November 2017 diff hist +148 Learning the Number of Neurons in Deep Networks →Related Work
- 01:3301:33, 9 November 2017 diff hist 0 f17Stat946PaperSignUp →Paper presentation
5 November 2017
- 21:3721:37, 5 November 2017 diff hist +388 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Intuition behind Effective Receptive Fields
- 20:2320:23, 5 November 2017 diff hist +399 Convolutional Sequence to Sequence Learning →Model Parameters and Optimization
- 20:1320:13, 5 November 2017 diff hist +25 Convolutional Sequence to Sequence Learning →Model Parameters and Optimization
- 20:0920:09, 5 November 2017 diff hist +157 Convolutional Sequence to Sequence Learning →References
- 18:1018:10, 5 November 2017 diff hist +258 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →Experiments and Configurations