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27 November 2020
- 12:3112:31, 27 November 2020 diff hist +80 Dense Passage Retrieval for Open-Domain Question Answering →Training
- 12:2712:27, 27 November 2020 diff hist −66 Dense Passage Retrieval for Open-Domain Question Answering →Background
- 01:2601:26, 27 November 2020 diff hist +1 Extreme Multi-label Text Classification →APLC-XLNet
- 01:2501:25, 27 November 2020 diff hist +243 Extreme Multi-label Text Classification →Critques
- 01:1001:10, 27 November 2020 diff hist +554 Extreme Multi-label Text Classification →APLC-XLNet
26 November 2020
- 18:5318:53, 26 November 2020 diff hist +505 Adacompress: Adaptive compression for online computer vision services →References
- 18:4918:49, 26 November 2020 diff hist +638 Adacompress: Adaptive compression for online computer vision services →Introduction
- 18:2218:22, 26 November 2020 diff hist +57 Adacompress: Adaptive compression for online computer vision services →Reinforcement learning framework
- 18:0218:02, 26 November 2020 diff hist +104 Adacompress: Adaptive compression for online computer vision services →Problem Formulation
- 17:3517:35, 26 November 2020 diff hist +87 Adacompress: Adaptive compression for online computer vision services →Methodology
- 17:1617:16, 26 November 2020 diff hist +1 Adacompress: Adaptive compression for online computer vision services →Introduction
23 November 2020
- 22:4222:42, 23 November 2020 diff hist +65 DREAM TO CONTROL: LEARNING BEHAVIORS BY LATENT IMAGINATION →Dreamer
- 22:3022:30, 23 November 2020 diff hist +1 DREAM TO CONTROL: LEARNING BEHAVIORS BY LATENT IMAGINATION →Preliminaries
- 22:2222:22, 23 November 2020 diff hist +386 DREAM TO CONTROL: LEARNING BEHAVIORS BY LATENT IMAGINATION →Preliminaries
- 02:2002:20, 23 November 2020 diff hist +6 stat940F21 →Paper presentation
- 00:4100:41, 23 November 2020 diff hist +1 Functional regularisation for continual learning with gaussian processes →Selection of the Inducing Points
22 November 2020
- 23:5823:58, 22 November 2020 diff hist +104 Functional regularisation for continual learning with gaussian processes →Methods
- 22:1822:18, 22 November 2020 diff hist +533 Functional regularisation for continual learning with gaussian processes →Prediction
- 22:0322:03, 22 November 2020 diff hist +51 Functional regularisation for continual learning with gaussian processes No edit summary
- 22:0222:02, 22 November 2020 diff hist 0 N File:FRCL-algorithm.jpg No edit summary current
- 21:5821:58, 22 November 2020 diff hist +468 Functional regularisation for continual learning with gaussian processes →Alternative Inference for the Current Task
- 21:1321:13, 22 November 2020 diff hist +1 Functional regularisation for continual learning with gaussian processes →Learning the First Task
- 21:0921:09, 22 November 2020 diff hist 0 Functional regularisation for continual learning with gaussian processes →Methods
- 21:0821:08, 22 November 2020 diff hist −1 Functional regularisation for continual learning with gaussian processes →Methods
- 21:0621:06, 22 November 2020 diff hist +3 Functional regularisation for continual learning with gaussian processes →Methods
- 21:0421:04, 22 November 2020 diff hist +3 Functional regularisation for continual learning with gaussian processes →Previous Work
- 21:0221:02, 22 November 2020 diff hist +138 stat940F21 →Paper presentation
- 21:0121:01, 22 November 2020 diff hist +689 Functional regularisation for continual learning with gaussian processes →Conclusions
- 20:5620:56, 22 November 2020 diff hist +1,766 Functional regularisation for continual learning with gaussian processes →Experiments
- 20:5320:53, 22 November 2020 diff hist 0 N File:FRCL-test-boundary.jpg No edit summary current
- 20:4820:48, 22 November 2020 diff hist 0 N File:FRCL-compare-inducing-points.jpg No edit summary current
- 20:2920:29, 22 November 2020 diff hist 0 N File:FRCL-table2.jpg No edit summary current
- 20:2920:29, 22 November 2020 diff hist 0 N File:FRCL-table1.jpg No edit summary current
- 20:2620:26, 22 November 2020 diff hist +1,400 Functional regularisation for continual learning with gaussian processes →Detecting Task Boundaries
- 20:2320:23, 22 November 2020 diff hist 0 N File:detecting-boundaries.jpg No edit summary current
- 20:1820:18, 22 November 2020 diff hist +1 Functional regularisation for continual learning with gaussian processes →Alternative Inference for the Current Task
- 20:1720:17, 22 November 2020 diff hist +248 Functional regularisation for continual learning with gaussian processes →Methods
- 20:1520:15, 22 November 2020 diff hist +269 Functional regularisation for continual learning with gaussian processes →Methods
- 20:1220:12, 22 November 2020 diff hist +151 Functional regularisation for continual learning with gaussian processes →Prediction
- 20:1120:11, 22 November 2020 diff hist +185 Functional regularisation for continual learning with gaussian processes →Selection of the Inducing Points
- 20:0820:08, 22 November 2020 diff hist +59 Functional regularisation for continual learning with gaussian processes →Recap of the Gaussian Process
- 20:0720:07, 22 November 2020 diff hist +657 Functional regularisation for continual learning with gaussian processes →Prediction
- 20:0520:05, 22 November 2020 diff hist +1,000 Functional regularisation for continual learning with gaussian processes →Selection of the Inducing Points
- 20:0320:03, 22 November 2020 diff hist 0 N File:inducing-points.jpg No edit summary current
- 18:5818:58, 22 November 2020 diff hist +116 Functional regularisation for continual learning with gaussian processes No edit summary
- 18:5618:56, 22 November 2020 diff hist +13 Functional regularisation for continual learning with gaussian processes →Gaussian Process
- 18:5518:55, 22 November 2020 diff hist +995 Functional regularisation for continual learning with gaussian processes →Methods
- 18:5218:52, 22 November 2020 diff hist +904 Functional regularisation for continual learning with gaussian processes →Methods
- 18:4818:48, 22 November 2020 diff hist +5,299 Functional regularisation for continual learning with gaussian processes →Conclusion
- 18:1618:16, 22 November 2020 diff hist 0 N File:FRCL-depiction-approach.jpg No edit summary current
- 18:1518:15, 22 November 2020 diff hist +8 Functional regularisation for continual learning with gaussian processes →Comparison to replay/rehearsal methods
- 18:1518:15, 22 November 2020 diff hist +780 Functional regularisation for continual learning with gaussian processes →References
- 18:0718:07, 22 November 2020 diff hist +4 Functional regularisation for continual learning with gaussian processes →Comparison to replay/rehearsal methods
- 18:0518:05, 22 November 2020 diff hist +376 Functional regularisation for continual learning with gaussian processes →Gaussian Process
- 17:5717:57, 22 November 2020 diff hist 0 N File:FRCL-GP-example.jpg No edit summary current
- 17:5617:56, 22 November 2020 diff hist +1,502 Functional regularisation for continual learning with gaussian processes →Gaussian Process
- 17:4517:45, 22 November 2020 diff hist +123 Functional regularisation for continual learning with gaussian processes →References
- 17:4517:45, 22 November 2020 diff hist +151 Functional regularisation for continual learning with gaussian processes →Model
- 17:3717:37, 22 November 2020 diff hist 0 Functional regularisation for continual learning with gaussian processes →Comparison between the Proposed Method and Previous Methods
- 17:3717:37, 22 November 2020 diff hist 0 Functional regularisation for continual learning with gaussian processes →Previous Work
- 17:3617:36, 22 November 2020 diff hist +637 Functional regularisation for continual learning with gaussian processes →Motivation
- 17:3217:32, 22 November 2020 diff hist +1,093 Functional regularisation for continual learning with gaussian processes →Previous Work
- 17:2917:29, 22 November 2020 diff hist +829 Functional regularisation for continual learning with gaussian processes →Introduction
17 November 2020
- 22:3822:38, 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
- 22:3522:35, 16 November 2020 diff hist 0 Breaking Certified Defenses: Semantic Adversarial Examples With Spoofed Robustness Certificates →Approach
- 22:3422:34, 16 November 2020 diff hist +16 Breaking Certified Defenses: Semantic Adversarial Examples With Spoofed Robustness Certificates →References
- 22:3222:32, 16 November 2020 diff hist +194 Breaking Certified Defenses: Semantic Adversarial Examples With Spoofed Robustness Certificates →Approach
- 22:0922:09, 16 November 2020 diff hist +215 Breaking Certified Defenses: Semantic Adversarial Examples With Spoofed Robustness Certificates →Background
- 21:4321:43, 16 November 2020 diff hist −4 Meta-Learning For Domain Generalization →Conclusion
- 21:3921:39, 16 November 2020 diff hist +1 Meta-Learning For Domain Generalization →Meta-Test
- 21:2221:22, 16 November 2020 diff hist +78 Meta-Learning For Domain Generalization →Method
- 20:5320:53, 16 November 2020 diff hist 0 Meta-Learning For Domain Generalization →Introduction
- 15:2015:20, 16 November 2020 diff hist +96 When Does Self-Supervision Improve Few-Shot Learning? →Results
- 15:0815:08, 16 November 2020 diff hist +118 When Does Self-Supervision Improve Few-Shot Learning? →Experiments
14 November 2020
- 23:4423:44, 14 November 2020 diff hist +39 orthogonal gradient descent for continual learning →Orthogonal Gradient Descent
- 23:4223:42, 14 November 2020 diff hist +88 orthogonal gradient descent for continual learning →Orthogonal Gradient Descent
- 23:4123:41, 14 November 2020 diff hist +168 orthogonal gradient descent for continual learning →Orthogonal Gradient Descent
- 23:2623:26, 14 November 2020 diff hist +401 orthogonal gradient descent for continual learning →Introduction
13 November 2020
- 17:4117:41, 13 November 2020 diff hist −6 The Curious Case of Degeneration →What is Perplexity?
- 17:3917:39, 13 November 2020 diff hist +332 The Curious Case of Degeneration →Sampling with Temperature
- 17:2217:22, 13 November 2020 diff hist +421 The Curious Case of Degeneration →Top-k Sampling
8 November 2020
- 01:1701:17, 8 November 2020 diff hist −7 Learning The Difference That Makes A Difference With Counterfactually-Augmented Data →Data Collection
- 01:1601:16, 8 November 2020 diff hist +1,105 Learning The Difference That Makes A Difference With Counterfactually-Augmented Data →Data Collection
- 01:0101:01, 8 November 2020 diff hist +797 Learning The Difference That Makes A Difference With Counterfactually-Augmented Data →Data Collection
6 November 2020
- 18:4618:46, 6 November 2020 diff hist +466 From Variational to Deterministic Autoencoders →Ex-Post Density Estimation
- 18:0018:00, 6 November 2020 diff hist −4 From Variational to Deterministic Autoencoders →Motivation
- 17:5917:59, 6 November 2020 diff hist 0 From Variational to Deterministic Autoencoders →Motivation
- 17:5217:52, 6 November 2020 diff hist +375 ALBERT: A Lite BERT for Self-supervised Learning of Language Representations →Inter-sentence coherence loss
- 17:3617:36, 6 November 2020 diff hist −4 ALBERT: A Lite BERT for Self-supervised Learning of Language Representations →Reference
- 17:3617:36, 6 November 2020 diff hist +338 ALBERT: A Lite BERT for Self-supervised Learning of Language Representations →Reference
- 17:3417:34, 6 November 2020 diff hist +120 ALBERT: A Lite BERT for Self-supervised Learning of Language Representations →Inter-sentence coherence loss
- 17:0217:02, 6 November 2020 diff hist +1 ALBERT: A Lite BERT for Self-supervised Learning of Language Representations →Inter-sentence coherence loss
- 17:0117:01, 6 November 2020 diff hist −2 ALBERT: A Lite BERT for Self-supervised Learning of Language Representations →Cross-layer parameter sharing
- 16:5516:55, 6 November 2020 diff hist +13 ALBERT: A Lite BERT for Self-supervised Learning of Language Representations →Factorized embedding parameterization
- 16:4416:44, 6 November 2020 diff hist +87 Augmix: New Data Augmentation method to increase the robustness of the algorithm →Approach
- 16:3816:38, 6 November 2020 diff hist +107 Augmix: New Data Augmentation method to increase the robustness of the algorithm →Approach
- 16:3516:35, 6 November 2020 diff hist +123 Augmix: New Data Augmentation method to increase the robustness of the algorithm →Approach
- 16:1816:18, 6 November 2020 diff hist −2 Augmix: New Data Augmentation method to increase the robustness of the algorithm →Introduction
9 October 2020
- 14:2914:29, 9 October 2020 diff hist +863 F21-STAT 940-Proposal No edit summary
6 October 2020
- 14:4714:47, 6 October 2020 diff hist +126 stat940F21 →Paper presentation