User contributions for Sbanijam
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16 November 2017
- 12:5012:50, 16 November 2017 diff hist +1 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks →Model-Agnostic Meta Learning (MAML)
- 12:4112:41, 16 November 2017 diff hist −1 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks →MAML Algorithm
- 12:3912:39, 16 November 2017 diff hist −1 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks →MAML Algorithm
- 12:3912:39, 16 November 2017 diff hist 0 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks →MAML Algorithm
- 12:3912:39, 16 November 2017 diff hist −7 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks →MAML Algorithm
- 12:3812:38, 16 November 2017 diff hist +86 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks →Model-Agnostic Meta Learning (MAML)
- 12:3612:36, 16 November 2017 diff hist 0 N File:model.png No edit summary current
- 12:3212:32, 16 November 2017 diff hist +785 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks →Model-Agnostic Meta Learning (MAML)
- 12:2912:29, 16 November 2017 diff hist +118 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks →Model-Agnostic Meta Learning (MAML)
- 12:2612:26, 16 November 2017 diff hist +901 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks →Model-Agnostic Meta Learning (MAML)
- 12:2312:23, 16 November 2017 diff hist 0 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks →Model-Agnostic Meta Learning (MAML)
- 12:2312:23, 16 November 2017 diff hist +26 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks →Model-Agnostic Meta Learning (MAML)
- 11:4511:45, 16 November 2017 diff hist +312 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks →Model-Agnostic Meta Learning (MAML)
- 11:4311:43, 16 November 2017 diff hist +139 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks →Problem set-up
- 11:4211:42, 16 November 2017 diff hist +243 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks →Problem set-up
- 11:3911:39, 16 November 2017 diff hist +439 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks →Model-Agnostic Meta Learning (MAML)
- 11:3411:34, 16 November 2017 diff hist −1 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks →Model-Agnostic Meta Learning (MAML)
- 11:3411:34, 16 November 2017 diff hist +25 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks →Model-Agnostic Meta Learning (MAML)
- 11:3311:33, 16 November 2017 diff hist −43 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks →Model-Agnostic Meta Learning (MAML)
- 11:3311:33, 16 November 2017 diff hist −1 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks →Model-Agnostic Meta Learning (MAML)
- 11:3211:32, 16 November 2017 diff hist +153 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks →Model-Agnostic Meta Learning (MAML)
- 11:3111:31, 16 November 2017 diff hist +30 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks No edit summary
- 11:3011:30, 16 November 2017 diff hist +382 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks →Introduction & Background
- 09:0909:09, 16 November 2017 diff hist +139 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks →References
15 November 2017
- 20:0320:03, 15 November 2017 diff hist +637 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks →Introduction & Background
- 19:4119:41, 15 November 2017 diff hist +658 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks →Introduction & Background
- 13:4813:48, 15 November 2017 diff hist −1,420 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks →References
- 13:4813:48, 15 November 2017 diff hist −915 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks →Conclusion & Critique
- 13:4813:48, 15 November 2017 diff hist −8,646 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks →Experiments
- 13:4813:48, 15 November 2017 diff hist −9,663 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks →Learning Modular Policies from Sketches
- 13:4713:47, 15 November 2017 diff hist −3,347 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks →Introduction & Background
- 13:4713:47, 15 November 2017 diff hist +24,145 N Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Created page with "='''Introduction & Background'''= border|right|400px This paper describes a framework for learning composable deep subpolicies in a multitask setting. These..."
- 13:4513:45, 15 November 2017 diff hist +80 f17Stat946PaperSignUp No edit summary
14 November 2017
- 14:1614:16, 14 November 2017 diff hist +33 Dialog-based Language Learning →Background on Memory Networks
- 13:3013:30, 14 November 2017 diff hist −2 Dialog-based Language Learning →Background on Memory Networks
- 13:3013:30, 14 November 2017 diff hist +3 Dialog-based Language Learning →Background on Memory Networks
- 13:2813:28, 14 November 2017 diff hist +15 Dialog-based Language Learning →Background on Memory Networks
- 13:2713:27, 14 November 2017 diff hist −15 Dialog-based Language Learning →Background on Memory Networks
- 13:2613:26, 14 November 2017 diff hist +15 Dialog-based Language Learning →Background on Memory Networks
- 13:2413:24, 14 November 2017 diff hist 0 N File:ershad dialognetwork.png No edit summary current
- 13:0013:00, 14 November 2017 diff hist +100 STAT946F17/ Coupled GAN →References and Supplementary Resources
- 12:5912:59, 14 November 2017 diff hist +226 STAT946F17/ Coupled GAN →Introduction
9 November 2017
- 12:5812:58, 9 November 2017 diff hist −3 Learning the Number of Neurons in Deep Networks →Model Training and Model Selection
- 12:5812:58, 9 November 2017 diff hist +9 Learning the Number of Neurons in Deep Networks →Model Training and Model Selection
- 11:3111:31, 9 November 2017 diff hist 0 STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study →One Shot Learning
- 11:3111:31, 9 November 2017 diff hist +2 STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study →One Shot Learning
- 11:3011:30, 9 November 2017 diff hist +2 STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study →One Shot Learning
26 October 2017
- 09:3209:32, 26 October 2017 diff hist +6 STAT946F17/ Improved Variational Inference with Inverse Autoregressive Flow →Inverse Autoregressive Transformations or, Whence Inverse Autoregressive Flow?
- 09:2909:29, 26 October 2017 diff hist +4 STAT946F17/ Improved Variational Inference with Inverse Autoregressive Flow →Variational Inference using Normalizing Flows
- 09:2909:29, 26 October 2017 diff hist +8 STAT946F17/ Improved Variational Inference with Inverse Autoregressive Flow →Black-box Variational Inference