User contributions for Jmmoosa
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17 December 2018
- 13:3813:38, 17 December 2018 diff hist +1 learn what not to learn →Related Work current
- 13:2813:28, 17 December 2018 diff hist 0 DON'T DECAY THE LEARNING RATE , INCREASE THE BATCH SIZE →TRAINING IMAGENET IN 30 MINUTES current
29 November 2018
- 13:3213:32, 29 November 2018 diff hist +42 CapsuleNets No edit summary
- 12:4612:46, 29 November 2018 diff hist 0 ShakeDrop Regularization →Existing Methods
- 12:4412:44, 29 November 2018 diff hist +4 stat946F18/Autoregressive Convolutional Neural Networks for Asynchronous Time Series →Experiments
- 12:3712:37, 29 November 2018 diff hist 0 stat946F18/Autoregressive Convolutional Neural Networks for Asynchronous Time Series →Results
- 12:3612:36, 29 November 2018 diff hist 0 stat946F18/Autoregressive Convolutional Neural Networks for Asynchronous Time Series →Training details
27 November 2018
- 13:4113:41, 27 November 2018 diff hist +225 policy optimization with demonstrations →Discussion on Existing LfD Methods
- 13:3713:37, 27 November 2018 diff hist +17 policy optimization with demonstrations →Policy Optimization with Demonstration (POfD)
- 13:3313:33, 27 November 2018 diff hist +202 policy optimization with demonstrations →Policy Optimization with Demonstration (POfD)
- 13:2713:27, 27 November 2018 diff hist +83 Visual Reinforcement Learning with Imagined Goals →Experiments
- 13:1713:17, 27 November 2018 diff hist 0 Visual Reinforcement Learning with Imagined Goals →Conclusion & Future Work
- 12:5412:54, 27 November 2018 diff hist +1 Unsupervised Neural Machine Translation →Methodology
- 12:4112:41, 27 November 2018 diff hist +2 Visual Reinforcement Learning with Imagined Goals →Related Work
- 12:2712:27, 27 November 2018 diff hist +4 Unsupervised Neural Machine Translation →Experiments and Results
23 November 2018
- 11:2311:23, 23 November 2018 diff hist +41 Unsupervised Neural Machine Translation →Critique
- 11:1611:16, 23 November 2018 diff hist +45 Deep Reinforcement Learning in Continuous Action Spaces a Case Study in the Game of Simulated Curling →Policy Network
- 11:1411:14, 23 November 2018 diff hist 0 N File:policy-value-net.PNG No edit summary current
- 11:0211:02, 23 November 2018 diff hist +322 Deep Reinforcement Learning in Continuous Action Spaces a Case Study in the Game of Simulated Curling →Monte Carlo Tree Search
- 10:4810:48, 23 November 2018 diff hist +31 a neural representation of sketch drawings →Unconditional Generation
- 10:4110:41, 23 November 2018 diff hist +37 a neural representation of sketch drawings →Dataset
- 10:4010:40, 23 November 2018 diff hist +1 a neural representation of sketch drawings →Dataset
22 November 2018
- 13:4113:41, 22 November 2018 diff hist +1 conditional neural process →Gaussian Process Framework
- 13:4113:41, 22 November 2018 diff hist 0 conditional neural process →Gaussian Process Framework
- 13:3913:39, 22 November 2018 diff hist 0 conditional neural process →Experimental Result I: Function Regression
- 13:3713:37, 22 November 2018 diff hist +14 conditional neural process →Conditional Neural Process
- 13:3513:35, 22 November 2018 diff hist +1 conditional neural process →Conditional Neural Process
- 13:1613:16, 22 November 2018 diff hist +44 conditional neural process →Experimental Result IV: Classification
- 12:5012:50, 22 November 2018 diff hist 0 Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction →References
- 12:5012:50, 22 November 2018 diff hist +194 Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction →References
- 12:4212:42, 22 November 2018 diff hist +2 Learning to Navigate in Cities Without a Map No edit summary
- 12:3912:39, 22 November 2018 diff hist −1 Learning to Navigate in Cities Without a Map →Architectures
- 12:3612:36, 22 November 2018 diff hist +4 Learning to Navigate in Cities Without a Map →Architectures
- 12:3512:35, 22 November 2018 diff hist +4 Learning to Navigate in Cities Without a Map →Architectures
- 12:2212:22, 22 November 2018 diff hist +105 Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction →Experimental Results
- 12:2012:20, 22 November 2018 diff hist +4 Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction →Experimental Results
- 12:1912:19, 22 November 2018 diff hist +69 Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction →Experimental Results
20 November 2018
- 13:4413:44, 20 November 2018 diff hist −68 Attend and Predict: Understanding Gene Regulation by Selective Attention on Chromatin →HM-Level \beta-attention
- 13:4313:43, 20 November 2018 diff hist +10 Attend and Predict: Understanding Gene Regulation by Selective Attention on Chromatin →Additional Resources
- 13:4313:43, 20 November 2018 diff hist −1 Attend and Predict: Understanding Gene Regulation by Selective Attention on Chromatin →Visualization and Apprehension of Deep Models