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29 November 2020
- 11:5511:55, 29 November 2020 diff hist −34 Self-Supervised Learning of Pretext-Invariant Representations →Introduction
- 11:5411:54, 29 November 2020 diff hist +122 Self-Supervised Learning of Pretext-Invariant Representations No edit summary
- 11:4611:46, 29 November 2020 diff hist 0 N File:SSL 2.JPG No edit summary current
- 11:4611:46, 29 November 2020 diff hist +180 Self-Supervised Learning of Pretext-Invariant Representations →Introduction
- 11:4011:40, 29 November 2020 diff hist −38 Self-Supervised Learning of Pretext-Invariant Representations →Introduction
- 11:3811:38, 29 November 2020 diff hist 0 Self-Supervised Learning of Pretext-Invariant Representations →Introduction
- 11:3611:36, 29 November 2020 diff hist 0 N File:SSL 1.JPG No edit summary current
- 11:3611:36, 29 November 2020 diff hist +218 Self-Supervised Learning of Pretext-Invariant Representations →Introduction
- 11:3411:34, 29 November 2020 diff hist +455 Self-Supervised Learning of Pretext-Invariant Representations No edit summary
- 11:2311:23, 29 November 2020 diff hist +73 Self-Supervised Learning of Pretext-Invariant Representations →Introduction
- 11:1811:18, 29 November 2020 diff hist +62 Self-Supervised Learning of Pretext-Invariant Representations →Introduction
- 11:1711:17, 29 November 2020 diff hist +21 Self-Supervised Learning of Pretext-Invariant Representations No edit summary
- 11:1511:15, 29 November 2020 diff hist +105 Self-Supervised Learning of Pretext-Invariant Representations No edit summary
- 11:1311:13, 29 November 2020 diff hist +3 Self-Supervised Learning of Pretext-Invariant Representations →Introduction
- 11:1211:12, 29 November 2020 diff hist +3 Self-Supervised Learning of Pretext-Invariant Representations →Introduction
- 11:1211:12, 29 November 2020 diff hist 0 Self-Supervised Learning of Pretext-Invariant Representations →Introduction
- 11:1211:12, 29 November 2020 diff hist +24 Self-Supervised Learning of Pretext-Invariant Representations No edit summary
- 11:1011:10, 29 November 2020 diff hist +194 Self-Supervised Learning of Pretext-Invariant Representations →Introduction
- 11:0711:07, 29 November 2020 diff hist +467 Self-Supervised Learning of Pretext-Invariant Representations →Introduction
- 11:0311:03, 29 November 2020 diff hist +766 Self-Supervised Learning of Pretext-Invariant Representations →Introduction
28 November 2020
- 15:1715:17, 28 November 2020 diff hist −49 Self-Supervised Learning of Pretext-Invariant Representations →Source Code
- 15:1615:16, 28 November 2020 diff hist −2,594 Self-Supervised Learning of Pretext-Invariant Representations →References
- 15:1615:16, 28 November 2020 diff hist +25,102 Self-Supervised Learning of Pretext-Invariant Representations No edit summary
- 15:1415:14, 28 November 2020 diff hist +134 stat940F21 →Paper presentation
- 15:1315:13, 28 November 2020 diff hist +7 N Self-Supervised Learning of Pretext-Invariant Representations Created page with "Summary"
23 November 2020
- 17:4417:44, 23 November 2020 diff hist +53 Functional regularisation for continual learning with gaussian processes No edit summary
- 17:4117:41, 23 November 2020 diff hist +266 Functional regularisation for continual learning with gaussian processes →Conclusions
22 November 2020
- 11:3611:36, 22 November 2020 diff hist +87 Dense Passage Retrieval for Open-Domain Question Answering →Introduction
- 11:3111:31, 22 November 2020 diff hist −7 DREAM TO CONTROL: LEARNING BEHAVIORS BY LATENT IMAGINATION →Conclusion
- 11:3011:30, 22 November 2020 diff hist −4 DREAM TO CONTROL: LEARNING BEHAVIORS BY LATENT IMAGINATION →Introduction
- 11:2911:29, 22 November 2020 diff hist +96 DREAM TO CONTROL: LEARNING BEHAVIORS BY LATENT IMAGINATION →Introduction
- 11:2511:25, 22 November 2020 diff hist +6 DREAM TO CONTROL: LEARNING BEHAVIORS BY LATENT IMAGINATION →Conclusion
- 11:2411:24, 22 November 2020 diff hist +157 DREAM TO CONTROL: LEARNING BEHAVIORS BY LATENT IMAGINATION →Conclusion
- 01:5501:55, 22 November 2020 diff hist +2 stat940F21 →Paper presentation
- 01:5401:54, 22 November 2020 diff hist +125 stat940F21 →Paper presentation
- 01:5301:53, 22 November 2020 diff hist −125 stat940F21 Undo revision 45649 by Sfarsang (talk)
- 01:5201:52, 22 November 2020 diff hist +125 stat940F21 →Paper presentation
21 November 2020
- 20:2420:24, 21 November 2020 diff hist −14 THE LOGICAL EXPRESSIVENESS OF GRAPH NEURAL NETWORKS →Final Remarks
- 20:2320:23, 21 November 2020 diff hist −13 THE LOGICAL EXPRESSIVENESS OF GRAPH NEURAL NETWORKS →Concepts
- 20:2220:22, 21 November 2020 diff hist +12 THE LOGICAL EXPRESSIVENESS OF GRAPH NEURAL NETWORKS →Architecture
- 20:2120:21, 21 November 2020 diff hist +3 THE LOGICAL EXPRESSIVENESS OF GRAPH NEURAL NETWORKS →Background
- 20:2020:20, 21 November 2020 diff hist +8 THE LOGICAL EXPRESSIVENESS OF GRAPH NEURAL NETWORKS →Final Remarks
- 20:1920:19, 21 November 2020 diff hist +9 THE LOGICAL EXPRESSIVENESS OF GRAPH NEURAL NETWORKS →Architecture
- 20:1120:11, 21 November 2020 diff hist −6 THE LOGICAL EXPRESSIVENESS OF GRAPH NEURAL NETWORKS →Background
18 November 2020
- 11:0011:00, 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
- 11:0011:00, 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
- 10:5910:59, 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
- 10:5810:58, 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
- 20:1220:12, 17 November 2020 diff hist +28 Adversarial Fisher Vectors for Unsupervised Representation Learning →Introduction
- 20:1020:10, 17 November 2020 diff hist +53 Adversarial Fisher Vectors for Unsupervised Representation Learning →Introduction
- 11:1011:10, 17 November 2020 diff hist +45 Model Agnostic Learning of Semantic Features →References
- 11:0911:09, 17 November 2020 diff hist 0 Model Agnostic Learning of Semantic Features →Conclusion
- 11:0811:08, 17 November 2020 diff hist 0 Model Agnostic Learning of Semantic Features →Conclusion
- 11:0711:07, 17 November 2020 diff hist +360 Model Agnostic Learning of Semantic Features →Conclusion
- 10:5110:51, 17 November 2020 diff hist +1 Model Agnostic Learning of Semantic Features →PACS
- 10:5110:51, 17 November 2020 diff hist +183 Model Agnostic Learning of Semantic Features →References
- 10:5010:50, 17 November 2020 diff hist +4 Model Agnostic Learning of Semantic Features →PACS
- 10:2810:28, 17 November 2020 diff hist +1 Adversarial Fisher Vectors for Unsupervised Representation Learning →Conclusion
- 10:2410:24, 17 November 2020 diff hist +3 Adversarial Fisher Vectors for Unsupervised Representation Learning →Adversarial Fisher Vectors
- 10:2310:23, 17 November 2020 diff hist −3 Adversarial Fisher Vectors for Unsupervised Representation Learning →Adversarial Fisher Vectors
- 10:2310:23, 17 November 2020 diff hist 0 Adversarial Fisher Vectors for Unsupervised Representation Learning →GANs as variational training of deep EBMs
- 10:2210:22, 17 November 2020 diff hist +1 Adversarial Fisher Vectors for Unsupervised Representation Learning →GANs as variational training of deep EBMs
- 10:2110:21, 17 November 2020 diff hist −3 Adversarial Fisher Vectors for Unsupervised Representation Learning →GANs as variational training of deep EBMs
- 10:1910:19, 17 November 2020 diff hist −16 Adversarial Fisher Vectors for Unsupervised Representation Learning →Introduction
- 10:1910:19, 17 November 2020 diff hist +49 Adversarial Fisher Vectors for Unsupervised Representation Learning →Introduction
- 10:1710:17, 17 November 2020 diff hist −25 Adversarial Fisher Vectors for Unsupervised Representation Learning →Introduction
- 10:1410:14, 17 November 2020 diff hist +9 Adversarial Fisher Vectors for Unsupervised Representation Learning →Introduction
- 10:1110:11, 17 November 2020 diff hist +5 Adversarial Fisher Vectors for Unsupervised Representation Learning →Introduction
- 10:0910:09, 17 November 2020 diff hist +1 Adversarial Fisher Vectors for Unsupervised Representation Learning →Introduction
- 09:2909:29, 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
- 09:2509:25, 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
- 09:1909:19, 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
- 12:4312:43, 15 November 2020 diff hist +3 Meta-Learning For Domain Generalization →Conclusion
- 12:3812:38, 15 November 2020 diff hist +3 orthogonal gradient descent for continual learning No edit summary
- 12:3312:33, 15 November 2020 diff hist +501 orthogonal gradient descent for continual learning →Review
- 12:1012:10, 15 November 2020 diff hist 0 When Does Self-Supervision Improve Few-Shot Learning? No edit summary
- 12:0712:07, 15 November 2020 diff hist +21 When Does Self-Supervision Improve Few-Shot Learning? →Experiments
- 12:0612:06, 15 November 2020 diff hist +13 When Does Self-Supervision Improve Few-Shot Learning? →Experiments
- 12:0512:05, 15 November 2020 diff hist +82 When Does Self-Supervision Improve Few-Shot Learning? →Experiments
- 12:0412:04, 15 November 2020 diff hist −7 When Does Self-Supervision Improve Few-Shot Learning? →Experiments
- 12:0012:00, 15 November 2020 diff hist 0 When Does Self-Supervision Improve Few-Shot Learning? →Experiments
- 11:5911:59, 15 November 2020 diff hist 0 File:1.png Sfarsang uploaded a new version of File:1.png current
- 11:5811:58, 15 November 2020 diff hist −5 When Does Self-Supervision Improve Few-Shot Learning? →Experiments
- 11:5711:57, 15 November 2020 diff hist +37 When Does Self-Supervision Improve Few-Shot Learning? →Experiments
- 11:5611:56, 15 November 2020 diff hist 0 N File:Capture1.PNG No edit summary current
- 11:5211:52, 15 November 2020 diff hist −2 When Does Self-Supervision Improve Few-Shot Learning? →Method
- 11:5111:51, 15 November 2020 diff hist −45 When Does Self-Supervision Improve Few-Shot Learning? →Method
- 11:4911:49, 15 November 2020 diff hist +291 When Does Self-Supervision Improve Few-Shot Learning? →Method
10 November 2020
- 09:3909:39, 10 November 2020 diff hist +4 Meta-Learning For Domain Generalization →Conclusion
- 09:2609:26, 10 November 2020 diff hist +2 Meta-Learning For Domain Generalization →Mountain Car
- 09:2409:24, 10 November 2020 diff hist +6 Meta-Learning For Domain Generalization →Cartpole
- 09:2109:21, 10 November 2020 diff hist −14 Meta-Learning For Domain Generalization →Object Detection
- 09:1309:13, 10 November 2020 diff hist −1 Meta-Learning For Domain Generalization →Previous Work
9 November 2020
- 16:4916:49, 9 November 2020 diff hist 0 Breaking Certified Defenses: Semantic Adversarial Examples With Spoofed Robustness Certificates →Conclusion
- 16:4716:47, 9 November 2020 diff hist +1 Breaking Certified Defenses: Semantic Adversarial Examples With Spoofed Robustness Certificates →Attack on Randomized Smoothing
8 November 2020
- 09:5409:54, 8 November 2020 diff hist +7 When Does Self-Supervision Improve Few-Shot Learning? No edit summary
- 09:3909:39, 8 November 2020 diff hist 0 When Does Self-Supervision Improve Few-Shot Learning? No edit summary
1 November 2020
- 17:0717:07, 1 November 2020 diff hist −116 stat940F21 →Paper presentation
15 October 2020
- 02:2102:21, 15 October 2020 diff hist +100 stat940F21 →Paper presentation
6 October 2020
- 11:3711:37, 6 October 2020 diff hist +97 stat940F21 →Paper presentation