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Multi-Task Self-Training for Learning General Representations


Aug 25, 2021
Golnaz Ghiasi, Barret Zoph, Ekin D. Cubuk, Quoc V. Le, Tsung-Yi Lin

* ICCV 2021 

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Revisiting ResNets: Improved Training and Scaling Strategies


Mar 13, 2021
Irwan Bello, William Fedus, Xianzhi Du, Ekin D. Cubuk, Aravind Srinivas, Tsung-Yi Lin, Jonathon Shlens, Barret Zoph


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Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation


Dec 13, 2020
Golnaz Ghiasi, Yin Cui, Aravind Srinivas, Rui Qian, Tsung-Yi Lin, Ekin D. Cubuk, Quoc V. Le, Barret Zoph


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Crystal Structure Search with Random Relaxations Using Graph Networks


Dec 08, 2020
Gowoon Cheon, Lusann Yang, Kevin McCloskey, Evan J. Reed, Ekin D. Cubuk

* Removed citations from the abstract, paper content is unchanged 

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Kohn-Sham equations as regularizer: building prior knowledge into machine-learned physics


Sep 17, 2020
Li Li, Stephan Hoyer, Ryan Pederson, Ruoxi Sun, Ekin D. Cubuk, Patrick Riley, Kieron Burke


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Rethinking Pre-training and Self-training


Jun 11, 2020
Barret Zoph, Golnaz Ghiasi, Tsung-Yi Lin, Yin Cui, Hanxiao Liu, Ekin D. Cubuk, Quoc V. Le


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Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation


May 22, 2020
Liang-Chieh Chen, Raphael Gontijo Lopes, Bowen Cheng, Maxwell D. Collins, Ekin D. Cubuk, Barret Zoph, Hartwig Adam, Jonathon Shlens

* 21 pages including reference 

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Affinity and Diversity: Quantifying Mechanisms of Data Augmentation


Feb 20, 2020
Raphael Gontijo-Lopes, Sylvia J. Smullin, Ekin D. Cubuk, Ethan Dyer

* 10 pages, 7 figures 

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FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence


Jan 21, 2020
Kihyuk Sohn, David Berthelot, Chun-Liang Li, Zizhao Zhang, Nicholas Carlini, Ekin D. Cubuk, Alex Kurakin, Han Zhang, Colin Raffel


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JAX, M.D.: End-to-End Differentiable, Hardware Accelerated, Molecular Dynamics in Pure Python


Dec 09, 2019
Samuel S. Schoenholz, Ekin D. Cubuk


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AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty


Dec 05, 2019
Dan Hendrycks, Norman Mu, Ekin D. Cubuk, Barret Zoph, Justin Gilmer, Balaji Lakshminarayanan

* Code available at https://github.com/google-research/augmix 

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ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring


Nov 21, 2019
David Berthelot, Nicholas Carlini, Ekin D. Cubuk, Alex Kurakin, Kihyuk Sohn, Han Zhang, Colin Raffel


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RandAugment: Practical automated data augmentation with a reduced search space


Nov 14, 2019
Ekin D. Cubuk, Barret Zoph, Jonathon Shlens, Quoc V. Le

* Added ablation experiments 

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RandAugment: Practical data augmentation with no separate search


Sep 30, 2019
Ekin D. Cubuk, Barret Zoph, Jonathon Shlens, Quoc V. Le


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Learning Data Augmentation Strategies for Object Detection


Jun 26, 2019
Barret Zoph, Ekin D. Cubuk, Golnaz Ghiasi, Tsung-Yi Lin, Jonathon Shlens, Quoc V. Le


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A Fourier Perspective on Model Robustness in Computer Vision


Jun 21, 2019
Dong Yin, Raphael Gontijo Lopes, Jonathon Shlens, Ekin D. Cubuk, Justin Gilmer


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Using learned optimizers to make models robust to input noise


Jun 08, 2019
Luke Metz, Niru Maheswaranathan, Jonathon Shlens, Jascha Sohl-Dickstein, Ekin D. Cubuk


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Improving Robustness Without Sacrificing Accuracy with Patch Gaussian Augmentation


Jun 06, 2019
Raphael Gontijo Lopes, Dong Yin, Ben Poole, Justin Gilmer, Ekin D. Cubuk


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SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition


Apr 18, 2019
Daniel S. Park, William Chan, Yu Zhang, Chung-Cheng Chiu, Barret Zoph, Ekin D. Cubuk, Quoc V. Le

* 6 pages, 3 figures, 6 tables; submitted to Interspeech 2019 

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Realistic Evaluation of Deep Semi-Supervised Learning Algorithms


Oct 26, 2018
Avital Oliver, Augustus Odena, Colin Raffel, Ekin D. Cubuk, Ian J. Goodfellow

* NIPS 2018 Proceedings 

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AutoAugment: Learning Augmentation Policies from Data


Oct 09, 2018
Ekin D. Cubuk, Barret Zoph, Dandelion Mane, Vijay Vasudevan, Quoc V. Le


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Intriguing Properties of Adversarial Examples


Nov 08, 2017
Ekin D. Cubuk, Barret Zoph, Samuel S. Schoenholz, Quoc V. Le

* 17 pages 

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