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G-Augment: Searching For The Meta-Structure Of Data Augmentation Policies For ASR


Oct 19, 2022
Gary Wang, Ekin D. Cubuk, Andrew Rosenberg, Shuyang Cheng, Ron J. Weiss, Bhuvana Ramabhadran, Pedro J. Moreno, Quoc V. Le, Daniel S. Park

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* 6 pages, accepted at SLT 2022 

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On the surprising tradeoff between ImageNet accuracy and perceptual similarity


Mar 09, 2022
Manoj Kumar, Neil Houlsby, Nal Kalchbrenner, Ekin D. Cubuk

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* Preprint 

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No One Representation to Rule Them All: Overlapping Features of Training Methods


Oct 26, 2021
Raphael Gontijo-Lopes, Yann Dauphin, Ekin D. Cubuk

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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

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* 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

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* 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

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* 21 pages including reference 

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