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13 November 2020
- 16:5716:57, 13 November 2020 diff hist 0 Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations →Discrete-Time Models
- 16:5616:56, 13 November 2020 diff hist +2 Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations →Discrete-Time Models
- 16:5616:56, 13 November 2020 diff hist +1,094 Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations →Discrete-Time Models
- 16:4116:41, 13 November 2020 diff hist +47 Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations →Continuous-Time Models
- 16:4016:40, 13 November 2020 diff hist +243 Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations →Continuous-Time Models
- 16:3616:36, 13 November 2020 diff hist +5 Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations →Continuous-Time Models
- 16:3616:36, 13 November 2020 diff hist −1 Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations →Continuous-Time Models
- 16:3516:35, 13 November 2020 diff hist +660 Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations →Continuous-Time Models
- 15:4115:41, 13 November 2020 diff hist +349 Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations →Continuous-Time Models
- 15:3515:35, 13 November 2020 diff hist +1,021 Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations →Data-Driven Solutions of PDEs
- 15:2115:21, 13 November 2020 diff hist +38 Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations →Data-Driven Solutions of PDEs
- 15:1915:19, 13 November 2020 diff hist +85 Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations →Problem Setup
- 15:1815:18, 13 November 2020 diff hist +238 Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations →Data-Driven Solutions of PDEs
- 15:1215:12, 13 November 2020 diff hist +697 Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations No edit summary
- 15:0315:03, 13 November 2020 diff hist +147 Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations →Data-Driven Solutions of PDEs
- 15:0015:00, 13 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
- 14:5914:59, 13 November 2020 diff hist +3 Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations →Continuous-Time Models
- 14:5914:59, 13 November 2020 diff hist +56 Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations →Data-Drive Solutions of PDEs
- 14:5814:58, 13 November 2020 diff hist +36 Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations No edit summary
- 14:5714:57, 13 November 2020 diff hist +505 Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations →Problem Setup
- 14:4914:49, 13 November 2020 diff hist +110 Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations →Problem Setup
- 14:4814:48, 13 November 2020 diff hist +297 Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations →Problem Setup
- 14:2614:26, 13 November 2020 diff hist −25 Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations →Problem Setup
- 14:2614:26, 13 November 2020 diff hist +106 Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations →Another Section
- 14:1914:19, 13 November 2020 diff hist +394 Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations →Introduction
- 14:0814:08, 13 November 2020 diff hist +562 Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations →Introduction
- 13:5213:52, 13 November 2020 diff hist +492 Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations →Introduction
- 13:3313:33, 13 November 2020 diff hist +29 Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations No edit summary
- 13:0013:00, 13 November 2020 diff hist +63 Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations No edit summary
- 12:4512:45, 13 November 2020 diff hist +16 N Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations Created page with "Placeholder text"
- 12:3712:37, 13 November 2020 diff hist −9 User:Cfmeaney Blanked the page current
- 12:3612:36, 13 November 2020 diff hist +9 N User:Cfmeaney Created page with "Test page"
8 November 2020
- 15:0715:07, 8 November 2020 diff hist +8 When Does Self-Supervision Improve Few-Shot Learning? →Previous Work
- 15:0315:03, 8 November 2020 diff hist +430 Learning The Difference That Makes A Difference With Counterfactually-Augmented Data →References
- 14:5914:59, 8 November 2020 diff hist +22 Learning The Difference That Makes A Difference With Counterfactually-Augmented Data →Conclusion
- 14:5814:58, 8 November 2020 diff hist +164 Learning The Difference That Makes A Difference With Counterfactually-Augmented Data →Conclusion
- 14:0414:04, 8 November 2020 diff hist +4 From Variational to Deterministic Autoencoders →Metrics of Evaluation
- 13:5813:58, 8 November 2020 diff hist +20 ALBERT: A Lite BERT for Self-supervised Learning of Language Representations →Removing dropout
- 13:5713:57, 8 November 2020 diff hist +12 From Variational to Deterministic Autoencoders →Introduction
- 13:5213:52, 8 November 2020 diff hist +476 ALBERT: A Lite BERT for Self-supervised Learning of Language Representations →Reference
- 13:5013:50, 8 November 2020 diff hist 0 ALBERT: A Lite BERT for Self-supervised Learning of Language Representations →Removing dropout
- 13:4913:49, 8 November 2020 diff hist +244 ALBERT: A Lite BERT for Self-supervised Learning of Language Representations →Removing dropout
- 13:4413:44, 8 November 2020 diff hist +3 ALBERT: A Lite BERT for Self-supervised Learning of Language Representations →Model details
- 13:4213:42, 8 November 2020 diff hist +1 ALBERT: A Lite BERT for Self-supervised Learning of Language Representations →Motivation
- 10:5910:59, 8 November 2020 diff hist +4 STAT946F20/BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding →Transformer and BERT
- 10:5410:54, 8 November 2020 diff hist +1 STAT946F20/BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding →Introduction
- 10:5210:52, 8 November 2020 diff hist +5 STAT946F20/BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding →Introduction
7 October 2020
- 08:5808:58, 7 October 2020 diff hist −1,715 stat940F21 →Paper presentation
- 08:5508:55, 7 October 2020 diff hist +1,681 stat940F21 →Paper presentation
- 08:5008:50, 7 October 2020 diff hist +23 stat940F21 →Paper presentation