User contributions for Pashrafi
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22 November 2020
- 18:4218:42, 22 November 2020 diff hist −1 Model Agnostic Learning of Semantic Features No edit summary
- 18:4118:41, 22 November 2020 diff hist +26 Model Agnostic Learning of Semantic Features →Local cluster sampling
- 18:4018:40, 22 November 2020 diff hist 0 Model Agnostic Learning of Semantic Features →Local cluster sampling
- 18:4018:40, 22 November 2020 diff hist +36 Model Agnostic Learning of Semantic Features →Local cluster sampling
- 18:3918:39, 22 November 2020 diff hist +44 Model Agnostic Learning of Semantic Features →Method
- 18:3818:38, 22 November 2020 diff hist 0 N File:Ashraf99.png No edit summary current
- 18:2918:29, 22 November 2020 diff hist −1 Model Agnostic Learning of Semantic Features →Task loss
- 18:1918:19, 22 November 2020 diff hist +4 Model Agnostic Learning of Semantic Features →Global class alignment
- 18:1618:16, 22 November 2020 diff hist −4 Model Agnostic Learning of Semantic Features →Global class alignment
- 18:1018:10, 22 November 2020 diff hist −7 Model Agnostic Learning of Semantic Features →Method
- 18:0818:08, 22 November 2020 diff hist 0 Model Agnostic Learning of Semantic Features →Model Agnostic Meta Learning
- 18:0718:07, 22 November 2020 diff hist −4 Model Agnostic Learning of Semantic Features →Model Agnostic Meta Learning
- 18:0418:04, 22 November 2020 diff hist +2 Model Agnostic Learning of Semantic Features →Model Agnostic Meta Learning
- 18:0318:03, 22 November 2020 diff hist +38 Model Agnostic Learning of Semantic Features →Model Agnostic Meta Learning
- 16:5116:51, 22 November 2020 diff hist +255 One-Shot Object Detection with Co-Attention and Co-Excitation →Critiques
- 16:4316:43, 22 November 2020 diff hist −10 One-Shot Object Detection with Co-Attention and Co-Excitation →Analyzing and Visualizing the effect of Co-Excitation
- 16:3916:39, 22 November 2020 diff hist +16 One-Shot Object Detection with Co-Attention and Co-Excitation →Analyzing and Visualizing the effect of Co-Excitation
- 16:3716:37, 22 November 2020 diff hist +8 One-Shot Object Detection with Co-Attention and Co-Excitation →Analyzing and Visualizing the effect of Co-Excitation
- 16:2616:26, 22 November 2020 diff hist +378 One-Shot Object Detection with Co-Attention and Co-Excitation →Non-Local Object Proposals
- 16:0916:09, 22 November 2020 diff hist +1 One-Shot Object Detection with Co-Attention and Co-Excitation →Non-Local Object Proposals
- 15:5615:56, 22 November 2020 diff hist +25 One-Shot Object Detection with Co-Attention and Co-Excitation →Approach
21 November 2020
- 16:5316:53, 21 November 2020 diff hist −3 Adversarial Fisher Vectors for Unsupervised Representation Learning →Critique
- 16:5316:53, 21 November 2020 diff hist +363 Adversarial Fisher Vectors for Unsupervised Representation Learning No edit summary
- 16:4016:40, 21 November 2020 diff hist −1 Adversarial Fisher Vectors for Unsupervised Representation Learning →Using the Fisher Distance to monitor training
- 16:3716:37, 21 November 2020 diff hist −15 Adversarial Fisher Vectors for Unsupervised Representation Learning →Adversarial Fisher Vectors
- 16:2716:27, 21 November 2020 diff hist +1 Adversarial Fisher Vectors for Unsupervised Representation Learning →Adversarial Fisher Vectors
- 16:2016:20, 21 November 2020 diff hist +6 Adversarial Fisher Vectors for Unsupervised Representation Learning →Adversarial Fisher Vectors
- 16:1516:15, 21 November 2020 diff hist +7 Adversarial Fisher Vectors for Unsupervised Representation Learning →GANs as variational training of deep EBMs
- 16:1416:14, 21 November 2020 diff hist −5 Adversarial Fisher Vectors for Unsupervised Representation Learning →GANs as variational training of deep EBMs
- 16:1016:10, 21 November 2020 diff hist +260 Adversarial Fisher Vectors for Unsupervised Representation Learning →GANs as variational training of deep EBMs
- 15:3815:38, 21 November 2020 diff hist +304 Adversarial Fisher Vectors for Unsupervised Representation Learning →Background
- 15:1515:15, 21 November 2020 diff hist +8 Adversarial Fisher Vectors for Unsupervised Representation Learning No edit summary
- 14:5614:56, 21 November 2020 diff hist +2 Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations →Introduction
- 14:1814:18, 21 November 2020 diff hist −2 SuperGLUE →Model Analysis
- 14:1214:12, 21 November 2020 diff hist −3 SuperGLUE →Design Process
- 14:0814:08, 21 November 2020 diff hist −1 SuperGLUE →Motivation
- 14:0514:05, 21 November 2020 diff hist −5 SuperGLUE →Related Work
- 13:5713:57, 21 November 2020 diff hist −5 SuperGLUE →Introduction
9 November 2020
- 19:1019:10, 9 November 2020 diff hist 0 Meta-Learning For Domain Generalization →Conclusion
- 19:0819:08, 9 November 2020 diff hist +105 stat940F21 No edit summary
- 19:0719:07, 9 November 2020 diff hist +2,311 Meta-Learning For Domain Generalization No edit summary
- 18:4618:46, 9 November 2020 diff hist +218 Meta-Learning For Domain Generalization No edit summary
- 18:4418:44, 9 November 2020 diff hist +636 Meta-Learning For Domain Generalization No edit summary
- 18:3718:37, 9 November 2020 diff hist 0 Meta-Learning For Domain Generalization No edit summary
- 18:3618:36, 9 November 2020 diff hist +1,608 Meta-Learning For Domain Generalization No edit summary
- 18:1118:11, 9 November 2020 diff hist +196 Meta-Learning For Domain Generalization No edit summary
- 18:1018:10, 9 November 2020 diff hist 0 Meta-Learning For Domain Generalization No edit summary
- 18:0918:09, 9 November 2020 diff hist 0 Meta-Learning For Domain Generalization No edit summary
- 18:0918:09, 9 November 2020 diff hist +1 Meta-Learning For Domain Generalization No edit summary
- 18:0818:08, 9 November 2020 diff hist 0 N File:ashraf7.jpg No edit summary current