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22 November 2020
- 19:0819:08, 22 November 2020 diff hist +59 Functional regularisation for continual learning with gaussian processes →Recap of the Gaussian Process
- 19:0719:07, 22 November 2020 diff hist +657 Functional regularisation for continual learning with gaussian processes →Prediction
- 19:0519:05, 22 November 2020 diff hist +1,000 Functional regularisation for continual learning with gaussian processes →Selection of the Inducing Points
- 19:0319:03, 22 November 2020 diff hist 0 N File:inducing-points.jpg No edit summary current
- 17:5817:58, 22 November 2020 diff hist +116 Functional regularisation for continual learning with gaussian processes No edit summary
- 17:5617:56, 22 November 2020 diff hist +13 Functional regularisation for continual learning with gaussian processes →Gaussian Process
- 17:5517:55, 22 November 2020 diff hist +995 Functional regularisation for continual learning with gaussian processes →Methods
- 17:5217:52, 22 November 2020 diff hist +904 Functional regularisation for continual learning with gaussian processes →Methods
- 17:4817:48, 22 November 2020 diff hist +5,299 Functional regularisation for continual learning with gaussian processes →Conclusion
- 17:1617:16, 22 November 2020 diff hist 0 N File:FRCL-depiction-approach.jpg No edit summary current
- 17:1517:15, 22 November 2020 diff hist +8 Functional regularisation for continual learning with gaussian processes →Comparison to replay/rehearsal methods
- 17:1517:15, 22 November 2020 diff hist +780 Functional regularisation for continual learning with gaussian processes →References
- 17:0717:07, 22 November 2020 diff hist +4 Functional regularisation for continual learning with gaussian processes →Comparison to replay/rehearsal methods
- 17:0517:05, 22 November 2020 diff hist +376 Functional regularisation for continual learning with gaussian processes →Gaussian Process
- 16:5716:57, 22 November 2020 diff hist 0 N File:FRCL-GP-example.jpg No edit summary current
- 16:5616:56, 22 November 2020 diff hist +1,502 Functional regularisation for continual learning with gaussian processes →Gaussian Process
- 16:4516:45, 22 November 2020 diff hist +123 Functional regularisation for continual learning with gaussian processes →References
- 16:4516:45, 22 November 2020 diff hist +151 Functional regularisation for continual learning with gaussian processes →Model
- 16:3716:37, 22 November 2020 diff hist 0 Functional regularisation for continual learning with gaussian processes →Comparison between the Proposed Method and Previous Methods
- 16:3716:37, 22 November 2020 diff hist 0 Functional regularisation for continual learning with gaussian processes →Previous Work
- 16:3616:36, 22 November 2020 diff hist +637 Functional regularisation for continual learning with gaussian processes →Motivation
- 16:3216:32, 22 November 2020 diff hist +1,093 Functional regularisation for continual learning with gaussian processes →Previous Work
- 16:2916:29, 22 November 2020 diff hist +829 Functional regularisation for continual learning with gaussian processes →Introduction
17 November 2020
- 21:3821:38, 17 November 2020 diff hist +161 N Functional regularisation for continual learning with gaussian processes Created page with "== Presented by == Meixi Chen == Introduction == == Previous Work == == Motivation == == Model == == Conclusion == == Critiques == == References =="
16 November 2020
- 21:3521:35, 16 November 2020 diff hist 0 Breaking Certified Defenses: Semantic Adversarial Examples With Spoofed Robustness Certificates →Approach
- 21:3421:34, 16 November 2020 diff hist +16 Breaking Certified Defenses: Semantic Adversarial Examples With Spoofed Robustness Certificates →References
- 21:3221:32, 16 November 2020 diff hist +194 Breaking Certified Defenses: Semantic Adversarial Examples With Spoofed Robustness Certificates →Approach
- 21:0921:09, 16 November 2020 diff hist +215 Breaking Certified Defenses: Semantic Adversarial Examples With Spoofed Robustness Certificates →Background
- 20:4320:43, 16 November 2020 diff hist −4 Meta-Learning For Domain Generalization →Conclusion
- 20:3920:39, 16 November 2020 diff hist +1 Meta-Learning For Domain Generalization →Meta-Test
- 20:2220:22, 16 November 2020 diff hist +78 Meta-Learning For Domain Generalization →Method
- 19:5319:53, 16 November 2020 diff hist 0 Meta-Learning For Domain Generalization →Introduction
- 14:2014:20, 16 November 2020 diff hist +96 When Does Self-Supervision Improve Few-Shot Learning? →Results
- 14:0814:08, 16 November 2020 diff hist +118 When Does Self-Supervision Improve Few-Shot Learning? →Experiments
14 November 2020
- 22:4422:44, 14 November 2020 diff hist +39 orthogonal gradient descent for continual learning →Orthogonal Gradient Descent
- 22:4222:42, 14 November 2020 diff hist +88 orthogonal gradient descent for continual learning →Orthogonal Gradient Descent
- 22:4122:41, 14 November 2020 diff hist +168 orthogonal gradient descent for continual learning →Orthogonal Gradient Descent
- 22:2622:26, 14 November 2020 diff hist +401 orthogonal gradient descent for continual learning →Introduction
13 November 2020
- 16:4116:41, 13 November 2020 diff hist −6 The Curious Case of Degeneration →What is Perplexity?
- 16:3916:39, 13 November 2020 diff hist +332 The Curious Case of Degeneration →Sampling with Temperature
- 16:2216:22, 13 November 2020 diff hist +421 The Curious Case of Degeneration →Top-k Sampling
8 November 2020
- 00:1700:17, 8 November 2020 diff hist −7 Learning The Difference That Makes A Difference With Counterfactually-Augmented Data →Data Collection
- 00:1600:16, 8 November 2020 diff hist +1,105 Learning The Difference That Makes A Difference With Counterfactually-Augmented Data →Data Collection
- 00:0100:01, 8 November 2020 diff hist +797 Learning The Difference That Makes A Difference With Counterfactually-Augmented Data →Data Collection
6 November 2020
- 17:4617:46, 6 November 2020 diff hist +466 From Variational to Deterministic Autoencoders →Ex-Post Density Estimation
- 17:0017:00, 6 November 2020 diff hist −4 From Variational to Deterministic Autoencoders →Motivation
- 16:5916:59, 6 November 2020 diff hist 0 From Variational to Deterministic Autoencoders →Motivation
- 16:5216:52, 6 November 2020 diff hist +375 ALBERT: A Lite BERT for Self-supervised Learning of Language Representations →Inter-sentence coherence loss
- 16:3616:36, 6 November 2020 diff hist −4 ALBERT: A Lite BERT for Self-supervised Learning of Language Representations →Reference
- 16:3616:36, 6 November 2020 diff hist +338 ALBERT: A Lite BERT for Self-supervised Learning of Language Representations →Reference