User contributions for Aaafify
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28 November 2018
- 12:5512:55, 28 November 2018 diff hist −1 ShakeDrop Regularization →Existing Methods
- 12:5412:54, 28 November 2018 diff hist +1 ShakeDrop Regularization →Existing Methods
- 12:5412:54, 28 November 2018 diff hist +154 ShakeDrop Regularization →Existing Methods
- 12:5212:52, 28 November 2018 diff hist 0 N File:Paper 32.jpg No edit summary current
27 November 2018
- 17:1417:14, 27 November 2018 diff hist +187 Fix your classifier: the marginal value of training the last weight layer →Future Work
- 17:1117:11, 27 November 2018 diff hist +176 Fix your classifier: the marginal value of training the last weight layer →References
26 November 2018
- 23:0223:02, 26 November 2018 diff hist +617 DETECTING STATISTICAL INTERACTIONS FROM NEURAL NETWORK WEIGHTS →Notations
24 November 2018
- 06:2506:25, 24 November 2018 diff hist +258 Visual Reinforcement Learning with Imagined Goals →Conclusion & Future Work
- 06:2406:24, 24 November 2018 diff hist +42 Visual Reinforcement Learning with Imagined Goals →References
23 November 2018
- 20:0220:02, 23 November 2018 diff hist 0 File:Paper 40 Table 3.png Aaafify uploaded a new version of File:Paper 40 Table 3.png current
- 19:5719:57, 23 November 2018 diff hist +42 Deep Reinforcement Learning in Continuous Action Spaces a Case Study in the Game of Simulated Curling →Monte Carlo Tree Search
- 19:5519:55, 23 November 2018 diff hist 0 N File:MCTS Diagram.jpg No edit summary current
- 19:5519:55, 23 November 2018 diff hist +56 Deep Reinforcement Learning in Continuous Action Spaces a Case Study in the Game of Simulated Curling →References
- 19:4219:42, 23 November 2018 diff hist +4 Deep Reinforcement Learning in Continuous Action Spaces a Case Study in the Game of Simulated Curling →Weaknesses
- 19:3419:34, 23 November 2018 diff hist −1 stat946F18/Autoregressive Convolutional Neural Networks for Asynchronous Time Series →Introduction
- 19:3319:33, 23 November 2018 diff hist +1 stat946F18/Autoregressive Convolutional Neural Networks for Asynchronous Time Series →Reference
- 19:3119:31, 23 November 2018 diff hist +6 DON'T DECAY THE LEARNING RATE , INCREASE THE BATCH SIZE →TRAINING IMAGENET IN 2500 PARAMETER UPDATES
- 19:3019:30, 23 November 2018 diff hist +6 DON'T DECAY THE LEARNING RATE , INCREASE THE BATCH SIZE →TRAINING IMAGENET IN 2500 PARAMETER UPDATES
- 19:3019:30, 23 November 2018 diff hist +6 DON'T DECAY THE LEARNING RATE , INCREASE THE BATCH SIZE →TRAINING IMAGENET IN 2500 PARAMETER UPDATES
- 19:3019:30, 23 November 2018 diff hist +31 DON'T DECAY THE LEARNING RATE , INCREASE THE BATCH SIZE →TRAINING IMAGENET IN 2500 PARAMETER UPDATES
- 18:4718:47, 23 November 2018 diff hist −39 DON'T DECAY THE LEARNING RATE , INCREASE THE BATCH SIZE →TRAINING IMAGENET IN 2500 PARAMETER UPDATES
- 18:4618:46, 23 November 2018 diff hist +8 DON'T DECAY THE LEARNING RATE , INCREASE THE BATCH SIZE →INCREASING THE EFFECTIVE LEARNING RATE
- 18:4618:46, 23 November 2018 diff hist −1 DON'T DECAY THE LEARNING RATE , INCREASE THE BATCH SIZE →INCREASING THE EFFECTIVE LEARNING RATE
- 18:4518:45, 23 November 2018 diff hist +3 DON'T DECAY THE LEARNING RATE , INCREASE THE BATCH SIZE →EXPERIMENTS
- 18:3918:39, 23 November 2018 diff hist +1 DON'T DECAY THE LEARNING RATE , INCREASE THE BATCH SIZE →THE EFFECTIVE LEARNING RATE AND THE ACCUMULATION VARIABLE
- 18:3918:39, 23 November 2018 diff hist −6 DON'T DECAY THE LEARNING RATE , INCREASE THE BATCH SIZE →EXPERIMENTS
- 18:3718:37, 23 November 2018 diff hist +2 DON'T DECAY THE LEARNING RATE , INCREASE THE BATCH SIZE →CRITIQUE
- 18:3718:37, 23 November 2018 diff hist +10 DON'T DECAY THE LEARNING RATE , INCREASE THE BATCH SIZE →CRITIQUE
- 18:3618:36, 23 November 2018 diff hist +7 DON'T DECAY THE LEARNING RATE , INCREASE THE BATCH SIZE →EXPERIMENTS
- 18:3418:34, 23 November 2018 diff hist −1 DON'T DECAY THE LEARNING RATE , INCREASE THE BATCH SIZE →RELATED WORK