Ekin D. Cubuk

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 35

Top Topics

Data Processing

Speech Recognition

Supervised Learning

Scene Segmentation

Top Venues

Publications

Mehmet Cagri Kaymak, Samuel S. Schoenholz, Ekin D. Cubuk, Kurt A. O'Hearn, Kenneth M. Merz Jr., Hasan Metin Aktulga
End-to-End Differentiable Reactive Molecular Dynamics Simulations Using JAX. ISC (2023)
Sean Mann, Eric Fadel, Samuel S. Schoenholz, Ekin D. Cubuk, Steven G. Johnson, Giuseppe Romano
: An end-to-end differentiable solar-cell simulator. Comput. Phys. Commun. 272 (2022)
Manoj Kumar, Neil Houlsby, Nal Kalchbrenner, Ekin D. Cubuk
On the surprising tradeoff between ImageNet accuracy and perceptual similarity. CoRR (2022)
Gary Wang, Ekin D. Cubuk, Andrew Rosenberg, Shuyang Cheng, Ron J. Weiss, Bhuvana Ramabhadran, Pedro J. Moreno, Quoc V. Le, Daniel S. Park
G-Augment: Searching for the Meta-Structure of Data Augmentation Policies for ASR. SLT (2022)
Gary Wang, Ekin D. Cubuk, Andrew Rosenberg, Shuyang Cheng, Ron J. Weiss, Bhuvana Ramabhadran, Pedro J. Moreno, Quoc V. Le, Daniel S. Park
G-Augment: Searching for the Meta-Structure of Data Augmentation Policies for ASR. CoRR (2022)
Amil Merchant, Luke Metz, Samuel S. Schoenholz, Ekin D. Cubuk
Learn2Hop: Learned Optimization on Rough Landscapes. ICML (2021)
Golnaz Ghiasi, Barret Zoph, Ekin D. Cubuk, Quoc V. Le, Tsung-Yi Lin
Multi-Task Self-Training for Learning General Representations. ICCV (2021)
Irwan Bello, William Fedus, Xianzhi Du, Ekin D. Cubuk, Aravind Srinivas, Tsung-Yi Lin, Jonathon Shlens, Barret Zoph
Revisiting ResNets: Improved Training and Scaling Strategies. CoRR (2021)
Raphael Gontijo Lopes, Yann Dauphin, Ekin D. Cubuk
No One Representation to Rule Them All: Overlapping Features of Training Methods. CoRR (2021)
Golnaz Ghiasi, Yin Cui, Aravind Srinivas, Rui Qian, Tsung-Yi Lin, Ekin D. Cubuk, Quoc V. Le, Barret Zoph
Simple Copy-Paste Is a Strong Data Augmentation Method for Instance Segmentation. CVPR (2021)
Golnaz Ghiasi, Barret Zoph, Ekin D. Cubuk, Quoc V. Le, Tsung-Yi Lin
Multi-Task Self-Training for Learning General Representations. CoRR (2021)
Liang-Chieh Chen, Raphael Gontijo Lopes, Bowen Cheng, Maxwell D. Collins, Ekin D. Cubuk, Barret Zoph, Hartwig Adam, Jonathon Shlens
Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation. CoRR (2020)
Li Li, Stephan Hoyer, Ryan Pederson, Ruoxi Sun, Ekin D. Cubuk, Patrick Riley, Kieron Burke
Kohn-Sham equations as regularizer: building prior knowledge into machine-learned physics. CoRR (2020)
Ekin D. Cubuk, Barret Zoph, Jonathon Shlens, Quoc V. Le
Randaugment: Practical automated data augmentation with a reduced search space. CVPR Workshops (2020)
Kihyuk Sohn, David Berthelot, Chun-Liang Li, Zizhao Zhang, Nicholas Carlini, Ekin D. Cubuk, Alex Kurakin, Han Zhang, Colin Raffel
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence. CoRR (2020)
Liang-Chieh Chen, Raphael Gontijo Lopes, Bowen Cheng, Maxwell D. Collins, Ekin D. Cubuk, Barret Zoph, Hartwig Adam, Jonathon Shlens
Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation. ECCV (9) (2020)
Barret Zoph, Ekin D. Cubuk, Golnaz Ghiasi, Tsung-Yi Lin, Jonathon Shlens, Quoc V. Le
Learning Data Augmentation Strategies for Object Detection. ECCV (27) (2020)
Raphael Gontijo Lopes, Sylvia J. Smullin, Ekin D. Cubuk, Ethan Dyer
Affinity and Diversity: Quantifying Mechanisms of Data Augmentation. CoRR (2020)
David Berthelot, Nicholas Carlini, Ekin D. Cubuk, Alex Kurakin, Kihyuk Sohn, Han Zhang, Colin Raffel
ReMixMatch: Semi-Supervised Learning with Distribution Matching and Augmentation Anchoring. ICLR (2020)
Golnaz Ghiasi, Yin Cui, Aravind Srinivas, Rui Qian, Tsung-Yi Lin, Ekin D. Cubuk, Quoc V. Le, Barret Zoph
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation. CoRR (2020)
Gowoon Cheon, Lusann Yang, Kevin McCloskey, Evan J. Reed, Ekin D. Cubuk
Crystal Structure Search with Random Relaxations Using Graph Networks. CoRR (2020)
Barret Zoph, Golnaz Ghiasi, Tsung-Yi Lin, Yin Cui, Hanxiao Liu, Ekin D. Cubuk, Quoc V. Le
Rethinking Pre-training and Self-training. CoRR (2020)
Ekin D. Cubuk, Barret Zoph, Dandelion Mané, Vijay Vasudevan, Quoc V. Le
AutoAugment: Learning Augmentation Strategies From Data. CVPR (2019)
Daniel S. Park, William Chan, Yu Zhang, Chung-Cheng Chiu, Barret Zoph, Ekin D. Cubuk, Quoc V. Le
SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition. CoRR (2019)
David Berthelot, Nicholas Carlini, Ekin D. Cubuk, Alex Kurakin, Kihyuk Sohn, Han Zhang, Colin Raffel
ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring. CoRR (2019)
Daniel S. Park, William Chan, Yu Zhang, Chung-Cheng Chiu, Barret Zoph, Ekin D. Cubuk, Quoc V. Le
SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition. INTERSPEECH (2019)
Ekin D. Cubuk, Barret Zoph, Jonathon Shlens, Quoc V. Le
RandAugment: Practical data augmentation with no separate search. CoRR (2019)
Dan Hendrycks, Norman Mu, Ekin D. Cubuk, Barret Zoph, Justin Gilmer, Balaji Lakshminarayanan
AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty. CoRR (2019)
Raphael Gontijo Lopes, Dong Yin, Ben Poole, Justin Gilmer, Ekin D. Cubuk
Improving Robustness Without Sacrificing Accuracy with Patch Gaussian Augmentation. CoRR (2019)
Justin Gilmer, Nicolas Ford, Nicholas Carlini, Ekin D. Cubuk
Adversarial Examples Are a Natural Consequence of Test Error in Noise. ICML (2019)
Luke Metz, Niru Maheswaranathan, Jonathon Shlens, Jascha Sohl-Dickstein, Ekin D. Cubuk
Using learned optimizers to make models robust to input noise. CoRR (2019)
Barret Zoph, Ekin D. Cubuk, Golnaz Ghiasi, Tsung-Yi Lin, Jonathon Shlens, Quoc V. Le
Learning Data Augmentation Strategies for Object Detection. CoRR (2019)
Dong Yin, Raphael Gontijo Lopes, Jonathon Shlens, Ekin D. Cubuk, Justin Gilmer
A Fourier Perspective on Model Robustness in Computer Vision. CoRR (2019)
Avital Oliver, Augustus Odena, Colin Raffel, Ekin D. Cubuk, Ian J. Goodfellow
Realistic Evaluation of Deep Semi-Supervised Learning Algorithms. CoRR (2018)
Avital Oliver, Augustus Odena, Colin Raffel, Ekin D. Cubuk, Ian J. Goodfellow
Realistic Evaluation of Semi-Supervised Learning Algorithms. ICLR (Workshop) (2018)
Amos Waterland, Elaine Angelino, Ekin D. Cubuk, Efthimios Kaxiras, Ryan P. Adams, Jonathan Appavoo, Margo I. Seltzer
Computational caches. SYSTOR (2013)