User contributions for Aravindbk
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30 November 2017
- 13:3713:37, 30 November 2017 diff hist +70 STAT946F17/ Automated Curriculum Learning for Neural Networks →Complexity-driven Progress current
- 13:2913:29, 30 November 2017 diff hist +19 STAT946F17/ Automated Curriculum Learning for Neural Networks →Loss-driven Progress
- 13:2513:25, 30 November 2017 diff hist +2 m STAT946F17/ Automated Curriculum Learning for Neural Networks No edit summary
- 13:2113:21, 30 November 2017 diff hist +123 STAT946F17/Decoding with Value Networks for Neural Machine Translation →Value Network for NMT
- 13:1813:18, 30 November 2017 diff hist +36 STAT946F17/Decoding with Value Networks for Neural Machine Translation →Neural Machine Translation
- 13:0913:09, 30 November 2017 diff hist +1 STAT946F17/Decoding with Value Networks for Neural Machine Translation No edit summary
- 11:0811:08, 30 November 2017 diff hist +106 Learning the Number of Neurons in Deep Networks →Set Up
- 11:0411:04, 30 November 2017 diff hist +149 Deep Alternative Neural Network: Exploring Contexts As Early As Possible For Action Recognition →Alternative Layer
- 11:0211:02, 30 November 2017 diff hist +1 Deep Alternative Neural Network: Exploring Contexts As Early As Possible For Action Recognition →Adaptive Network Input
- 11:0111:01, 30 November 2017 diff hist +44 Deep Alternative Neural Network: Exploring Contexts As Early As Possible For Action Recognition →Adaptive Network Input
28 November 2017
- 14:0214:02, 28 November 2017 diff hist +232 STAT946F17/Conditional Image Generation with PixelCNN Decoders →Gated PixelCNN
- 13:5013:50, 28 November 2017 diff hist −4 m STAT946F17/Conditional Image Generation with PixelCNN Decoders No edit summary
- 13:4013:40, 28 November 2017 diff hist +121 Hierarchical Question-Image Co-Attention for Visual Question Answering →Parallel Co-Attention
- 13:3713:37, 28 November 2017 diff hist +82 Hierarchical Question-Image Co-Attention for Visual Question Answering →Co-Attention Mechanism
- 13:3013:30, 28 November 2017 diff hist +122 Hierarchical Question-Image Co-Attention for Visual Question Answering →Motivation and Main Contributions
- 13:2313:23, 28 November 2017 diff hist +17 m Hierarchical Question-Image Co-Attention for Visual Question Answering No edit summary
- 13:1813:18, 28 November 2017 diff hist +113 Conditional Image Synthesis with Auxiliary Classifier GANs →Motivation
- 13:0813:08, 28 November 2017 diff hist +7 m Conditional Image Synthesis with Auxiliary Classifier GANs No edit summary
23 November 2017
- 13:1413:14, 23 November 2017 diff hist +115 Unsupervised Domain Adaptation with Residual Transfer Networks →Feature Adaptation
- 13:1113:11, 23 November 2017 diff hist +3 Unsupervised Domain Adaptation with Residual Transfer Networks →Residual Transfer Networks
- 12:5312:53, 23 November 2017 diff hist +12 Unsupervised Domain Adaptation with Residual Transfer Networks No edit summary
- 12:4012:40, 23 November 2017 diff hist +189 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks →Supervised Regression and Classification
- 12:3112:31, 23 November 2017 diff hist −4 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks No edit summary
- 12:1712:17, 23 November 2017 diff hist +343 Deep Exploration via Bootstrapped DQN →Bootstrapped DQN
- 11:3211:32, 23 November 2017 diff hist +7 Deep Exploration via Bootstrapped DQN No edit summary
21 November 2017
- 14:1914:19, 21 November 2017 diff hist +18 Universal Style Transfer via Feature Transforms →Style Transfer
- 14:1814:18, 21 November 2017 diff hist 0 Universal Style Transfer via Feature Transforms →Style Transfer
- 14:1714:17, 21 November 2017 diff hist 0 N File:style transfer table 2.png No edit summary current
- 14:1614:16, 21 November 2017 diff hist +37 Universal Style Transfer via Feature Transforms →Style Transfer
- 14:1314:13, 21 November 2017 diff hist +306 Universal Style Transfer via Feature Transforms →Style Transfer
- 14:0214:02, 21 November 2017 diff hist +235 Universal Style Transfer via Feature Transforms →Conclusion
- 13:5613:56, 21 November 2017 diff hist +29 Universal Style Transfer via Feature Transforms No edit summary
- 13:3113:31, 21 November 2017 diff hist +98 Modular Multitask Reinforcement Learning with Policy Sketches →Ablations
- 13:2913:29, 21 November 2017 diff hist +14 m Modular Multitask Reinforcement Learning with Policy Sketches →Zero-shot and Adaptation Learning
- 13:2913:29, 21 November 2017 diff hist +42 m Modular Multitask Reinforcement Learning with Policy Sketches →Zero-shot and Adaptation Learning
- 13:2713:27, 21 November 2017 diff hist +33 m Modular Multitask Reinforcement Learning with Policy Sketches →Zero-shot and Adaptation Learning
- 13:2213:22, 21 November 2017 diff hist +8 m Modular Multitask Reinforcement Learning with Policy Sketches No edit summary
16 November 2017
- 20:1120:11, 16 November 2017 diff hist +4 Learning the Number of Neurons in Deep Networks No edit summary
- 20:0820:08, 16 November 2017 diff hist +12 Learning the Number of Neurons in Deep Networks →Model Training and Model Selection
- 19:4819:48, 16 November 2017 diff hist +92 STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study →Data Sets Used
- 19:4619:46, 16 November 2017 diff hist +23 STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study →Matching Networks
- 19:2419:24, 16 November 2017 diff hist −1 m STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study No edit summary
- 19:1019:10, 16 November 2017 diff hist +124 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks →Part II: How 2C Shared Embedding is Used in LightRNN
- 18:4018:40, 16 November 2017 diff hist +31 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks →Part III: Bootstrap for Word Allocation
- 18:1518:15, 16 November 2017 diff hist +21 m LightRNN: Memory and Computation-Efficient Recurrent Neural Networks No edit summary
- 17:3117:31, 16 November 2017 diff hist +64 "Why Should I Trust You?": Explaining the Predictions of Any Classifier →Example 1: Text classification with SVMs
- 16:2916:29, 16 November 2017 diff hist +129 "Why Should I Trust You?": Explaining the Predictions of Any Classifier →Sampling for Local Exploration
- 16:2316:23, 16 November 2017 diff hist +149 "Why Should I Trust You?": Explaining the Predictions of Any Classifier →Local Interpretable Model-Agnostic Explanations (LIME)
- 16:1616:16, 16 November 2017 diff hist +58 m "Why Should I Trust You?": Explaining the Predictions of Any Classifier No edit summary
- 16:0216:02, 16 November 2017 diff hist +137 STAT946F17/ Teaching Machines to Describe Images via Natural Language Feedback →Crowd-sourcing Human Feedback