User contributions for Gbathla
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13 December 2020
- 07:0107:01, 13 December 2020 diff hist +110 F21-STAT 940-Proposal No edit summary
6 December 2020
- 18:3418:34, 6 December 2020 diff hist +663 STAT946F20/BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding →Conclusion
- 18:2318:23, 6 December 2020 diff hist +546 Learning The Difference That Makes A Difference With Counterfactually-Augmented Data →Data Collection
- 18:1518:15, 6 December 2020 diff hist 0 N File:jaccard similarity results.png No edit summary current
- 18:0718:07, 6 December 2020 diff hist +1 Learning The Difference That Makes A Difference With Counterfactually-Augmented Data →Introduction
- 17:5017:50, 6 December 2020 diff hist +4 This Looks Like That: Deep Learning for Interpretable Image Recognition →Network Architecture
- 17:4917:49, 6 December 2020 diff hist +264 This Looks Like That: Deep Learning for Interpretable Image Recognition →Network Architecture
- 17:3317:33, 6 December 2020 diff hist +5 This Looks Like That: Deep Learning for Interpretable Image Recognition →Introduction
- 17:2417:24, 6 December 2020 diff hist +2 Pre-Training Tasks For Embedding-Based Large-Scale Retrieval →Conclusion
- 17:2117:21, 6 December 2020 diff hist +204 Pre-Training Tasks For Embedding-Based Large-Scale Retrieval →Ablation Study
- 17:0517:05, 6 December 2020 diff hist −2 Pre-Training Tasks For Embedding-Based Large-Scale Retrieval →Learning
- 17:0017:00, 6 December 2020 diff hist +2 Pre-Training Tasks For Embedding-Based Large-Scale Retrieval →Introduction
- 16:1216:12, 6 December 2020 diff hist −1 Self-Supervised Learning of Pretext-Invariant Representations →Image Classification with linear models
- 16:1016:10, 6 December 2020 diff hist −2 Self-Supervised Learning of Pretext-Invariant Representations →What is the effect of the number of negative samples?
- 16:0716:07, 6 December 2020 diff hist +149 Self-Supervised Learning of Pretext-Invariant Representations →References
- 16:0716:07, 6 December 2020 diff hist +144 Self-Supervised Learning of Pretext-Invariant Representations →Problem Formulation and Methodology
- 15:3615:36, 6 December 2020 diff hist +3 Self-Supervised Learning of Pretext-Invariant Representations →Problem Formulation and Methodology
- 14:1614:16, 6 December 2020 diff hist +348 CRITICAL ANALYSIS OF SELF-SUPERVISION →References
- 14:1514:15, 6 December 2020 diff hist 0 CRITICAL ANALYSIS OF SELF-SUPERVISION →Previous Work
- 14:1514:15, 6 December 2020 diff hist +359 CRITICAL ANALYSIS OF SELF-SUPERVISION →Previous Work
- 13:4613:46, 6 December 2020 diff hist −3 CRITICAL ANALYSIS OF SELF-SUPERVISION →Previous Work
- 13:0713:07, 6 December 2020 diff hist 0 Time-series Generative Adversarial Networks →Experiments
- 13:0413:04, 6 December 2020 diff hist −1 Time-series Generative Adversarial Networks →Proposed Architecture
- 13:0313:03, 6 December 2020 diff hist −1 Time-series Generative Adversarial Networks →Embedding and Recovery Functions
- 12:5212:52, 6 December 2020 diff hist +219 Time-series Generative Adversarial Networks →References
- 12:5112:51, 6 December 2020 diff hist −17 Time-series Generative Adversarial Networks →Related Work
- 12:4712:47, 6 December 2020 diff hist +176 Time-series Generative Adversarial Networks →Related Work
- 12:1012:10, 6 December 2020 diff hist +142 BERTScore: Evaluating Text Generation with BERT →References
- 12:0912:09, 6 December 2020 diff hist +363 BERTScore: Evaluating Text Generation with BERT →Image Captioning
- 11:5611:56, 6 December 2020 diff hist +294 BERTScore: Evaluating Text Generation with BERT →Previous Work