User contributions for Nkadiyar
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15 November 2017
- 14:1514:15, 15 November 2017 diff hist +95 "Why Should I Trust You?": Explaining the Predictions of Any Classifier →Fidelity-Interpretability Trade-Off
- 10:0010:00, 15 November 2017 diff hist +65 STAT946F17/ Teaching Machines to Describe Images via Natural Language Feedback →Related Works
- 09:5709:57, 15 November 2017 diff hist +41 STAT946F17/ Teaching Machines to Describe Images via Natural Language Feedback →Introduction
13 November 2017
- 19:4619:46, 13 November 2017 diff hist −1 STAT946F17/ Coupled GAN →Introduction
- 19:3419:34, 13 November 2017 diff hist +241 Imagination-Augmented Agents for Deep Reinforcement Learning →Introduction
8 November 2017
- 21:2021:20, 8 November 2017 diff hist +1 Learning the Number of Neurons in Deep Networks →Model Training and Model Selection
- 21:1121:11, 8 November 2017 diff hist +55 Learning the Number of Neurons in Deep Networks →Introduction
- 21:0821:08, 8 November 2017 diff hist +9 Learning the Number of Neurons in Deep Networks →Introduction
- 20:5720:57, 8 November 2017 diff hist +9 STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study →Cognitive Biases
- 20:5620:56, 8 November 2017 diff hist +105 STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study →Cognitive Biases
- 20:5320:53, 8 November 2017 diff hist +278 STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study →Cognitive Biases
- 20:4320:43, 8 November 2017 diff hist +2 STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study →Matching Networks
- 20:4120:41, 8 November 2017 diff hist +1 Dialog-based Language Learning →Training strategies
- 20:4020:40, 8 November 2017 diff hist +1 Dialog-based Language Learning →Learning models
- 20:3020:30, 8 November 2017 diff hist −4 STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study →Introduction
- 20:0420:04, 8 November 2017 diff hist +20 FeUdal Networks for Hierarchical Reinforcement Learning →Learning: - The reward from the environment is different from the intrinsic reward followed by the Worker. Be specific to avoid confusion
- 19:3319:33, 8 November 2017 diff hist −2 FeUdal Networks for Hierarchical Reinforcement Learning →Introduction