User contributions for Sbanijam
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16 November 2017
- 13:5013:50, 16 November 2017 diff hist +1 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks →Model-Agnostic Meta Learning (MAML)
- 13:4113:41, 16 November 2017 diff hist −1 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks →MAML Algorithm
- 13:3913:39, 16 November 2017 diff hist −1 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks →MAML Algorithm
- 13:3913:39, 16 November 2017 diff hist 0 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks →MAML Algorithm
- 13:3913:39, 16 November 2017 diff hist −7 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks →MAML Algorithm
- 13:3813:38, 16 November 2017 diff hist +86 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks →Model-Agnostic Meta Learning (MAML)
- 13:3613:36, 16 November 2017 diff hist 0 N File:model.png No edit summary current
- 13:3213:32, 16 November 2017 diff hist +785 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks →Model-Agnostic Meta Learning (MAML)
- 13:2913:29, 16 November 2017 diff hist +118 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks →Model-Agnostic Meta Learning (MAML)
- 13:2613:26, 16 November 2017 diff hist +901 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks →Model-Agnostic Meta Learning (MAML)
- 13:2313:23, 16 November 2017 diff hist 0 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks →Model-Agnostic Meta Learning (MAML)
- 13:2313:23, 16 November 2017 diff hist +26 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks →Model-Agnostic Meta Learning (MAML)
- 12:4512:45, 16 November 2017 diff hist +312 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks →Model-Agnostic Meta Learning (MAML)
- 12:4312:43, 16 November 2017 diff hist +139 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks →Problem set-up
- 12:4212:42, 16 November 2017 diff hist +243 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks →Problem set-up
- 12:3912:39, 16 November 2017 diff hist +439 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks →Model-Agnostic Meta Learning (MAML)
- 12:3412:34, 16 November 2017 diff hist −1 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks →Model-Agnostic Meta Learning (MAML)
- 12:3412:34, 16 November 2017 diff hist +25 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks →Model-Agnostic Meta Learning (MAML)
- 12:3312:33, 16 November 2017 diff hist −43 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks →Model-Agnostic Meta Learning (MAML)
- 12:3312:33, 16 November 2017 diff hist −1 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks →Model-Agnostic Meta Learning (MAML)
- 12:3212:32, 16 November 2017 diff hist +153 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks →Model-Agnostic Meta Learning (MAML)
- 12:3112:31, 16 November 2017 diff hist +30 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks No edit summary
- 12:3012:30, 16 November 2017 diff hist +382 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks →Introduction & Background
- 10:0910:09, 16 November 2017 diff hist +139 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks →References
15 November 2017
- 21:0321:03, 15 November 2017 diff hist +637 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks →Introduction & Background
- 20:4120:41, 15 November 2017 diff hist +658 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks →Introduction & Background
- 14:4814:48, 15 November 2017 diff hist −1,420 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks →References
- 14:4814:48, 15 November 2017 diff hist −915 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks →Conclusion & Critique
- 14:4814:48, 15 November 2017 diff hist −8,646 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks →Experiments
- 14:4814:48, 15 November 2017 diff hist −9,663 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks →Learning Modular Policies from Sketches
- 14:4714:47, 15 November 2017 diff hist −3,347 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks →Introduction & Background
- 14:4714:47, 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..."
- 14:4514:45, 15 November 2017 diff hist +80 f17Stat946PaperSignUp No edit summary
14 November 2017
- 15:1615:16, 14 November 2017 diff hist +33 Dialog-based Language Learning →Background on Memory Networks
- 14:3014:30, 14 November 2017 diff hist −2 Dialog-based Language Learning →Background on Memory Networks
- 14:3014:30, 14 November 2017 diff hist +3 Dialog-based Language Learning →Background on Memory Networks
- 14:2814:28, 14 November 2017 diff hist +15 Dialog-based Language Learning →Background on Memory Networks
- 14:2714:27, 14 November 2017 diff hist −15 Dialog-based Language Learning →Background on Memory Networks
- 14:2614:26, 14 November 2017 diff hist +15 Dialog-based Language Learning →Background on Memory Networks
- 14:2414:24, 14 November 2017 diff hist 0 N File:ershad dialognetwork.png No edit summary current
- 14:0014:00, 14 November 2017 diff hist +100 STAT946F17/ Coupled GAN →References and Supplementary Resources
- 13:5913:59, 14 November 2017 diff hist +226 STAT946F17/ Coupled GAN →Introduction
9 November 2017
- 13:5813:58, 9 November 2017 diff hist −3 Learning the Number of Neurons in Deep Networks →Model Training and Model Selection
- 13:5813:58, 9 November 2017 diff hist +9 Learning the Number of Neurons in Deep Networks →Model Training and Model Selection
- 12:3112:31, 9 November 2017 diff hist 0 STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study →One Shot Learning
- 12:3112:31, 9 November 2017 diff hist +2 STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study →One Shot Learning
- 12:3012:30, 9 November 2017 diff hist +2 STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study →One Shot Learning
26 October 2017
- 10:3210:32, 26 October 2017 diff hist +6 STAT946F17/ Improved Variational Inference with Inverse Autoregressive Flow →Inverse Autoregressive Transformations or, Whence Inverse Autoregressive Flow?
- 10:2910:29, 26 October 2017 diff hist +4 STAT946F17/ Improved Variational Inference with Inverse Autoregressive Flow →Variational Inference using Normalizing Flows
- 10:2910:29, 26 October 2017 diff hist +8 STAT946F17/ Improved Variational Inference with Inverse Autoregressive Flow →Black-box Variational Inference