User contributions for X46peng
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30 November 2018
- 11:2511:25, 30 November 2018 diff hist +150 DETECTING STATISTICAL INTERACTIONS FROM NEURAL NETWORK WEIGHTS →Interaction
- 11:2411:24, 30 November 2018 diff hist −150 DETECTING STATISTICAL INTERACTIONS FROM NEURAL NETWORK WEIGHTS →Quantifying influence
- 11:2411:24, 30 November 2018 diff hist +149 DETECTING STATISTICAL INTERACTIONS FROM NEURAL NETWORK WEIGHTS →Interaction
- 11:1911:19, 30 November 2018 diff hist +345 Fix your classifier: the marginal value of training the last weight layer →Critique
- 11:1211:12, 30 November 2018 diff hist +276 learn what not to learn →Related Work
29 November 2018
- 00:2500:25, 29 November 2018 diff hist +350 Wasserstein Auto-encoders →Critique
- 00:1300:13, 29 November 2018 diff hist +307 CapsuleNets →Future Work
- 00:1200:12, 29 November 2018 diff hist +41 CapsuleNets →Future Work
- 00:0500:05, 29 November 2018 diff hist +113 stat946F18/Autoregressive Convolutional Neural Networks for Asynchronous Time Series →Loss function
28 November 2018
- 23:5323:53, 28 November 2018 diff hist +384 ShakeDrop Regularization No edit summary
- 00:0400:04, 28 November 2018 diff hist +232 policy optimization with demonstrations →References
- 00:0000:00, 28 November 2018 diff hist 0 policy optimization with demonstrations →Related Work
27 November 2018
- 23:5923:59, 27 November 2018 diff hist +266 policy optimization with demonstrations →Related Work
- 00:3500:35, 27 November 2018 diff hist +187 Unsupervised Neural Machine Translation →Word Embedding Alignment
22 November 2018
- 09:4209:42, 22 November 2018 diff hist +278 conditional neural process →Meta Learning
- 09:3209:32, 22 November 2018 diff hist +259 Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction →Related Work
- 09:2009:20, 22 November 2018 diff hist +228 Learning to Navigate in Cities Without a Map →Conclusion
19 November 2018
- 23:5623:56, 19 November 2018 diff hist +492 Obfuscated Gradients Give a False Sense of Security Circumventing Defenses to Adversarial Examples →Detailed Results
- 23:4323:43, 19 November 2018 diff hist −1 Obfuscated Gradients Give a False Sense of Security Circumventing Defenses to Adversarial Examples →The defense that worked - Adversarial Training [Madary, 2018]
- 23:3623:36, 19 November 2018 diff hist −2 Obfuscated Gradients Give a False Sense of Security Circumventing Defenses to Adversarial Examples →Introduction
- 23:3023:30, 19 November 2018 diff hist +94 Countering Adversarial Images Using Input Transformations →Discussion/Conclusions
- 23:2823:28, 19 November 2018 diff hist +47 Countering Adversarial Images Using Input Transformations →Discussion/Conclusions
- 23:2023:20, 19 November 2018 diff hist −4 Countering Adversarial Images Using Input Transformations →Discussion/Conclusions
- 23:1823:18, 19 November 2018 diff hist −5 Countering Adversarial Images Using Input Transformations →Comparison With Ensemble Adversarial Training
- 23:1523:15, 19 November 2018 diff hist 0 Countering Adversarial Images Using Input Transformations →Introduction
- 23:1223:12, 19 November 2018 diff hist +3 Countering Adversarial Images Using Input Transformations →Motivation
- 23:0923:09, 19 November 2018 diff hist +130 Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias →Related work
- 14:1114:11, 19 November 2018 diff hist −3 stat946F18 No edit summary
- 14:1014:10, 19 November 2018 diff hist +12 Visual Reinforcement Learning with Imagined Goals No edit summary
- 14:0914:09, 19 November 2018 diff hist +66 Visual Reinforcement Learning with Imagined Goals →References
- 14:0714:07, 19 November 2018 diff hist +1,353 Visual Reinforcement Learning with Imagined Goals →References
- 14:0514:05, 19 November 2018 diff hist +32 Visual Reinforcement Learning with Imagined Goals →Related Work
- 13:5813:58, 19 November 2018 diff hist +26 Visual Reinforcement Learning with Imagined Goals →Experiments
- 13:5613:56, 19 November 2018 diff hist 0 Visual Reinforcement Learning with Imagined Goals →Variational Autoencoder (VAE)
- 13:5513:55, 19 November 2018 diff hist +114 Visual Reinforcement Learning with Imagined Goals →Variational Autoencoder (VAE)
- 13:5413:54, 19 November 2018 diff hist 0 Visual Reinforcement Learning with Imagined Goals →Goal-Conditioned Reinforcement Learning
- 13:5313:53, 19 November 2018 diff hist −18 Visual Reinforcement Learning with Imagined Goals →Goal-Conditioned Reinforcement Learning
- 13:5213:52, 19 November 2018 diff hist −219 Visual Reinforcement Learning with Imagined Goals →Goal-Conditioned Reinforcement Learning
- 13:5013:50, 19 November 2018 diff hist 0 Visual Reinforcement Learning with Imagined Goals →Goal-Conditioned Reinforcement Learning
- 13:5013:50, 19 November 2018 diff hist +1 Visual Reinforcement Learning with Imagined Goals →Goal-Conditioned Reinforcement Learning
- 13:4613:46, 19 November 2018 diff hist 0 Visual Reinforcement Learning with Imagined Goals →Goal-Conditioned Reinforcement Learning
- 13:4613:46, 19 November 2018 diff hist −1 Visual Reinforcement Learning with Imagined Goals →Goal-Conditioned Reinforcement Learning
- 13:4513:45, 19 November 2018 diff hist −86 Visual Reinforcement Learning with Imagined Goals →Goal-Conditioned Reinforcement Learning
- 13:4513:45, 19 November 2018 diff hist +7 Visual Reinforcement Learning with Imagined Goals →Goal-Conditioned Reinforcement Learning
- 13:4413:44, 19 November 2018 diff hist −4 Visual Reinforcement Learning with Imagined Goals →Goal-Conditioned Reinforcement Learning
- 13:4213:42, 19 November 2018 diff hist −231 Visual Reinforcement Learning with Imagined Goals →Goal-Conditioned Reinforcement Learning
- 13:4013:40, 19 November 2018 diff hist +6 Visual Reinforcement Learning with Imagined Goals →Goal-Conditioned Reinforcement Learning
- 13:3913:39, 19 November 2018 diff hist +282 Visual Reinforcement Learning with Imagined Goals →Goal-Conditioned Reinforcement Learning
- 13:3613:36, 19 November 2018 diff hist +670 Visual Reinforcement Learning with Imagined Goals →Critique
- 13:1713:17, 19 November 2018 diff hist −364 Visual Reinforcement Learning with Imagined Goals →Conclusion & Future Work