User contributions for Sfarsang
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22 November 2020
- 12:2912:29, 22 November 2020 diff hist +96 DREAM TO CONTROL: LEARNING BEHAVIORS BY LATENT IMAGINATION →Introduction
- 12:2512:25, 22 November 2020 diff hist +6 DREAM TO CONTROL: LEARNING BEHAVIORS BY LATENT IMAGINATION →Conclusion
- 12:2412:24, 22 November 2020 diff hist +157 DREAM TO CONTROL: LEARNING BEHAVIORS BY LATENT IMAGINATION →Conclusion
- 02:5502:55, 22 November 2020 diff hist +2 stat940F21 →Paper presentation
- 02:5402:54, 22 November 2020 diff hist +125 stat940F21 →Paper presentation
- 02:5302:53, 22 November 2020 diff hist −125 stat940F21 Undo revision 45649 by Sfarsang (talk)
- 02:5202:52, 22 November 2020 diff hist +125 stat940F21 →Paper presentation
21 November 2020
- 21:2421:24, 21 November 2020 diff hist −14 THE LOGICAL EXPRESSIVENESS OF GRAPH NEURAL NETWORKS →Final Remarks
- 21:2321:23, 21 November 2020 diff hist −13 THE LOGICAL EXPRESSIVENESS OF GRAPH NEURAL NETWORKS →Concepts
- 21:2221:22, 21 November 2020 diff hist +12 THE LOGICAL EXPRESSIVENESS OF GRAPH NEURAL NETWORKS →Architecture
- 21:2121:21, 21 November 2020 diff hist +3 THE LOGICAL EXPRESSIVENESS OF GRAPH NEURAL NETWORKS →Background
- 21:2021:20, 21 November 2020 diff hist +8 THE LOGICAL EXPRESSIVENESS OF GRAPH NEURAL NETWORKS →Final Remarks
- 21:1921:19, 21 November 2020 diff hist +9 THE LOGICAL EXPRESSIVENESS OF GRAPH NEURAL NETWORKS →Architecture
- 21:1121:11, 21 November 2020 diff hist −6 THE LOGICAL EXPRESSIVENESS OF GRAPH NEURAL NETWORKS →Background
18 November 2020
- 12:0012:00, 18 November 2020 diff hist +2 Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations →Critiques
- 12:0012:00, 18 November 2020 diff hist 0 Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations →Critiques
- 11:5911:59, 18 November 2020 diff hist +2 Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations →Critiques
- 11:5811:58, 18 November 2020 diff hist +693 Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations No edit summary
17 November 2020
- 21:1221:12, 17 November 2020 diff hist +28 Adversarial Fisher Vectors for Unsupervised Representation Learning →Introduction
- 21:1021:10, 17 November 2020 diff hist +53 Adversarial Fisher Vectors for Unsupervised Representation Learning →Introduction
- 12:1012:10, 17 November 2020 diff hist +45 Model Agnostic Learning of Semantic Features →References
- 12:0912:09, 17 November 2020 diff hist 0 Model Agnostic Learning of Semantic Features →Conclusion
- 12:0812:08, 17 November 2020 diff hist 0 Model Agnostic Learning of Semantic Features →Conclusion
- 12:0712:07, 17 November 2020 diff hist +360 Model Agnostic Learning of Semantic Features →Conclusion
- 11:5111:51, 17 November 2020 diff hist +1 Model Agnostic Learning of Semantic Features →PACS
- 11:5111:51, 17 November 2020 diff hist +183 Model Agnostic Learning of Semantic Features →References
- 11:5011:50, 17 November 2020 diff hist +4 Model Agnostic Learning of Semantic Features →PACS
- 11:2811:28, 17 November 2020 diff hist +1 Adversarial Fisher Vectors for Unsupervised Representation Learning →Conclusion
- 11:2411:24, 17 November 2020 diff hist +3 Adversarial Fisher Vectors for Unsupervised Representation Learning →Adversarial Fisher Vectors
- 11:2311:23, 17 November 2020 diff hist −3 Adversarial Fisher Vectors for Unsupervised Representation Learning →Adversarial Fisher Vectors
- 11:2311:23, 17 November 2020 diff hist 0 Adversarial Fisher Vectors for Unsupervised Representation Learning →GANs as variational training of deep EBMs
- 11:2211:22, 17 November 2020 diff hist +1 Adversarial Fisher Vectors for Unsupervised Representation Learning →GANs as variational training of deep EBMs
- 11:2111:21, 17 November 2020 diff hist −3 Adversarial Fisher Vectors for Unsupervised Representation Learning →GANs as variational training of deep EBMs
- 11:1911:19, 17 November 2020 diff hist −16 Adversarial Fisher Vectors for Unsupervised Representation Learning →Introduction
- 11:1911:19, 17 November 2020 diff hist +49 Adversarial Fisher Vectors for Unsupervised Representation Learning →Introduction
- 11:1711:17, 17 November 2020 diff hist −25 Adversarial Fisher Vectors for Unsupervised Representation Learning →Introduction
- 11:1411:14, 17 November 2020 diff hist +9 Adversarial Fisher Vectors for Unsupervised Representation Learning →Introduction
- 11:1111:11, 17 November 2020 diff hist +5 Adversarial Fisher Vectors for Unsupervised Representation Learning →Introduction
- 11:0911:09, 17 November 2020 diff hist +1 Adversarial Fisher Vectors for Unsupervised Representation Learning →Introduction
- 10:2910:29, 17 November 2020 diff hist 0 Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations →Data-Driven Discovery of PDEs
- 10:2510:25, 17 November 2020 diff hist −4 Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations →Discrete-Time Models
- 10:1910:19, 17 November 2020 diff hist +2 Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations →Continuous-Time Models
15 November 2020
- 13:4313:43, 15 November 2020 diff hist +3 Meta-Learning For Domain Generalization →Conclusion
- 13:3813:38, 15 November 2020 diff hist +3 orthogonal gradient descent for continual learning No edit summary
- 13:3313:33, 15 November 2020 diff hist +501 orthogonal gradient descent for continual learning →Review
- 13:1013:10, 15 November 2020 diff hist 0 When Does Self-Supervision Improve Few-Shot Learning? No edit summary
- 13:0713:07, 15 November 2020 diff hist +21 When Does Self-Supervision Improve Few-Shot Learning? →Experiments
- 13:0613:06, 15 November 2020 diff hist +13 When Does Self-Supervision Improve Few-Shot Learning? →Experiments
- 13:0513:05, 15 November 2020 diff hist +82 When Does Self-Supervision Improve Few-Shot Learning? →Experiments
- 13:0413:04, 15 November 2020 diff hist −7 When Does Self-Supervision Improve Few-Shot Learning? →Experiments