User contributions for Aravindbk
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21 November 2017
- 14:3114:31, 21 November 2017 diff hist +98 Modular Multitask Reinforcement Learning with Policy Sketches →Ablations
- 14:2914:29, 21 November 2017 diff hist +14 m Modular Multitask Reinforcement Learning with Policy Sketches →Zero-shot and Adaptation Learning
- 14:2914:29, 21 November 2017 diff hist +42 m Modular Multitask Reinforcement Learning with Policy Sketches →Zero-shot and Adaptation Learning
- 14:2714:27, 21 November 2017 diff hist +33 m Modular Multitask Reinforcement Learning with Policy Sketches →Zero-shot and Adaptation Learning
- 14:2214:22, 21 November 2017 diff hist +8 m Modular Multitask Reinforcement Learning with Policy Sketches No edit summary
16 November 2017
- 21:1121:11, 16 November 2017 diff hist +4 Learning the Number of Neurons in Deep Networks No edit summary
- 21:0821:08, 16 November 2017 diff hist +12 Learning the Number of Neurons in Deep Networks →Model Training and Model Selection
- 20:4820:48, 16 November 2017 diff hist +92 STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study →Data Sets Used
- 20:4620:46, 16 November 2017 diff hist +23 STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study →Matching Networks
- 20:2420:24, 16 November 2017 diff hist −1 m STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study No edit summary
- 20:1020:10, 16 November 2017 diff hist +124 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks →Part II: How 2C Shared Embedding is Used in LightRNN
- 19:4019:40, 16 November 2017 diff hist +31 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks →Part III: Bootstrap for Word Allocation
- 19:1519:15, 16 November 2017 diff hist +21 m LightRNN: Memory and Computation-Efficient Recurrent Neural Networks No edit summary
- 18:3118:31, 16 November 2017 diff hist +64 "Why Should I Trust You?": Explaining the Predictions of Any Classifier →Example 1: Text classification with SVMs
- 17:2917:29, 16 November 2017 diff hist +129 "Why Should I Trust You?": Explaining the Predictions of Any Classifier →Sampling for Local Exploration
- 17:2317:23, 16 November 2017 diff hist +149 "Why Should I Trust You?": Explaining the Predictions of Any Classifier →Local Interpretable Model-Agnostic Explanations (LIME)
- 17:1617:16, 16 November 2017 diff hist +58 m "Why Should I Trust You?": Explaining the Predictions of Any Classifier No edit summary
- 17:0217:02, 16 November 2017 diff hist +137 STAT946F17/ Teaching Machines to Describe Images via Natural Language Feedback →Crowd-sourcing Human Feedback
- 16:4916:49, 16 November 2017 diff hist +60 m STAT946F17/ Teaching Machines to Describe Images via Natural Language Feedback →Phrase-based Image Captioning
- 16:3116:31, 16 November 2017 diff hist −4 m STAT946F17/ Teaching Machines to Describe Images via Natural Language Feedback No edit summary