Ekin D. Cubuk - RankMe

37 papers A* 6A 1C 1Misc 1Journal 23Unranked 5

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Generative Hierarchical Materials Search. CoRR Sherry Yang, Simon L. Batzner, Ruiqi Gao, Muratahan Aykol, Alexander L. Gaunt, Brendan McMorrow, Danilo J. Rezende, Dale Schuurmans, Igor Mordatch, Ekin D. Cubuk
2023	C	`conf`	End-to-End Differentiable Reactive Molecular Dynamics Simulations Using JAX. ISC Mehmet Cagri Kaymak, Samuel S. Schoenholz, Ekin D. Cubuk, Kurt A. O'Hearn, Kenneth M. Merz Jr., Hasan Metin Aktulga
2022	—	`conf`	G-Augment: Searching for the Meta-Structure of Data Augmentation Policies for ASR. SLT Gary Wang, Ekin D. Cubuk, Andrew Rosenberg, Shuyang Cheng, Ron J. Weiss, Bhuvana Ramabhadran, Pedro J. Moreno, Quoc V. Le, Daniel S. Park
2022	J	`jnl`	G-Augment: Searching for the Meta-Structure of Data Augmentation Policies for ASR. CoRR Gary Wang, Ekin D. Cubuk, Andrew Rosenberg, Shuyang Cheng, Ron J. Weiss, Bhuvana Ramabhadran, Pedro J. Moreno, Quoc V. Le, Daniel S. Park
2022	J	`jnl`	On the surprising tradeoff between ImageNet accuracy and perceptual similarity. CoRR Manoj Kumar, Neil Houlsby, Nal Kalchbrenner, Ekin D. Cubuk
2022	J	`jnl`	∂ Comput. Phys. Commun. Sean Mann, Eric Fadel, Samuel S. Schoenholz, Ekin D. Cubuk, Steven G. Johnson, Giuseppe Romano
2021	A*	`conf`	Learn2Hop: Learned Optimization on Rough Landscapes. ICML Amil Merchant, Luke Metz, Samuel S. Schoenholz, Ekin D. Cubuk
2021	A*	`conf`	Multi-Task Self-Training for Learning General Representations. ICCV Golnaz Ghiasi, Barret Zoph, Ekin D. Cubuk, Quoc V. Le, Tsung-Yi Lin
2021	J	`jnl`	Multi-Task Self-Training for Learning General Representations. CoRR Golnaz Ghiasi, Barret Zoph, Ekin D. Cubuk, Quoc V. Le, Tsung-Yi Lin
2021	J	`jnl`	No One Representation to Rule Them All: Overlapping Features of Training Methods. CoRR Raphael Gontijo Lopes, Yann N. Dauphin, Ekin D. Cubuk
2021	J	`jnl`	Revisiting ResNets: Improved Training and Scaling Strategies. CoRR Irwan Bello, William Fedus, Xianzhi Du, Ekin D. Cubuk, Aravind Srinivas, Tsung-Yi Lin, Jonathon Shlens, Barret Zoph
2021	A*	`conf`	Simple Copy-Paste Is a Strong Data Augmentation Method for Instance Segmentation. CVPR Golnaz Ghiasi, Yin Cui, Aravind Srinivas, Rui Qian, Tsung-Yi Lin, Ekin D. Cubuk, Quoc V. Le, Barret Zoph
2020	J	`jnl`	Affinity and Diversity: Quantifying Mechanisms of Data Augmentation. CoRR Raphael Gontijo Lopes, Sylvia J. Smullin, Ekin D. Cubuk, Ethan Dyer
2020	J	`jnl`	Crystal Structure Search with Random Relaxations Using Graph Networks. CoRR Gowoon Cheon, Lusann Yang, Kevin McCloskey, Evan J. Reed, Ekin D. Cubuk
2020	J	`jnl`	FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence. CoRR Kihyuk Sohn, David Berthelot, Chun-Liang Li, Zizhao Zhang, Nicholas Carlini, Ekin D. Cubuk, Alex Kurakin, Han Zhang, Colin Raffel
2020	J	`jnl`	Kohn-Sham equations as regularizer: building prior knowledge into machine-learned physics. CoRR Li Li, Stephan Hoyer, Ryan Pederson, Ruoxi Sun, Ekin D. Cubuk, Patrick Riley, Kieron Burke
2020	—	`conf`	Learning Data Augmentation Strategies for Object Detection. ECCV (27) Barret Zoph, Ekin D. Cubuk, Golnaz Ghiasi, Tsung-Yi Lin, Jonathon Shlens, Quoc V. Le
2020	J	`jnl`	Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation. CoRR Liang-Chieh Chen, Raphael Gontijo Lopes, Bowen Cheng, Maxwell D. Collins, Ekin D. Cubuk, Barret Zoph, Hartwig Adam, Jonathon Shlens
2020	—	`conf`	Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation. ECCV (9) Liang-Chieh Chen, Raphael Gontijo Lopes, Bowen Cheng, Maxwell D. Collins, Ekin D. Cubuk, Barret Zoph, Hartwig Adam, Jonathon Shlens
2020	—	`conf`	Randaugment: Practical automated data augmentation with a reduced search space. CVPR Workshops Ekin D. Cubuk, Barret Zoph, Jonathon Shlens, Quoc V. Le
2020	A*	`conf`	ReMixMatch: Semi-Supervised Learning with Distribution Matching and Augmentation Anchoring. ICLR David Berthelot, Nicholas Carlini, Ekin D. Cubuk, Alex Kurakin, Kihyuk Sohn, Han Zhang, Colin Raffel
2020	J	`jnl`	Rethinking Pre-training and Self-training. CoRR Barret Zoph, Golnaz Ghiasi, Tsung-Yi Lin, Yin Cui, Hanxiao Liu, Ekin D. Cubuk, Quoc V. Le
2020	J	`jnl`	Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation. CoRR Golnaz Ghiasi, Yin Cui, Aravind Srinivas, Rui Qian, Tsung-Yi Lin, Ekin D. Cubuk, Quoc V. Le, Barret Zoph
2019	J	`jnl`	A Fourier Perspective on Model Robustness in Computer Vision. CoRR Dong Yin, Raphael Gontijo Lopes, Jonathon Shlens, Ekin D. Cubuk, Justin Gilmer
2019	A*	`conf`	Adversarial Examples Are a Natural Consequence of Test Error in Noise. ICML Justin Gilmer, Nicolas Ford, Nicholas Carlini, Ekin D. Cubuk
2019	J	`jnl`	AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty. CoRR Dan Hendrycks, Norman Mu, Ekin D. Cubuk, Barret Zoph, Justin Gilmer, Balaji Lakshminarayanan
2019	A*	`conf`	AutoAugment: Learning Augmentation Strategies From Data. CVPR Ekin D. Cubuk, Barret Zoph, Dandelion Mané, Vijay Vasudevan, Quoc V. Le
2019	J	`jnl`	Improving Robustness Without Sacrificing Accuracy with Patch Gaussian Augmentation. CoRR Raphael Gontijo Lopes, Dong Yin, Ben Poole, Justin Gilmer, Ekin D. Cubuk
2019	J	`jnl`	Learning Data Augmentation Strategies for Object Detection. CoRR Barret Zoph, Ekin D. Cubuk, Golnaz Ghiasi, Tsung-Yi Lin, Jonathon Shlens, Quoc V. Le
2019	J	`jnl`	RandAugment: Practical data augmentation with no separate search. CoRR Ekin D. Cubuk, Barret Zoph, Jonathon Shlens, Quoc V. Le
2019	J	`jnl`	ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring. CoRR David Berthelot, Nicholas Carlini, Ekin D. Cubuk, Alex Kurakin, Kihyuk Sohn, Han Zhang, Colin Raffel
2019	A	`conf`	SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition. INTERSPEECH Daniel S. Park, William Chan, Yu Zhang, Chung-Cheng Chiu, Barret Zoph, Ekin D. Cubuk, Quoc V. Le
2019	J	`jnl`	SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition. CoRR Daniel S. Park, William Chan, Yu Zhang, Chung-Cheng Chiu, Barret Zoph, Ekin D. Cubuk, Quoc V. Le
2019	J	`jnl`	Using learned optimizers to make models robust to input noise. CoRR Luke Metz, Niru Maheswaranathan, Jonathon Shlens, Jascha Sohl-Dickstein, Ekin D. Cubuk
2018	J	`jnl`	Realistic Evaluation of Deep Semi-Supervised Learning Algorithms. CoRR Avital Oliver, Augustus Odena, Colin Raffel, Ekin D. Cubuk, Ian J. Goodfellow
2018	—	`conf`	Realistic Evaluation of Semi-Supervised Learning Algorithms. ICLR (Workshop) Avital Oliver, Augustus Odena, Colin Raffel, Ekin D. Cubuk, Ian J. Goodfellow
2013	Misc	`conf`	Computational caches. SYSTOR Amos Waterland, Elaine Angelino, Ekin D. Cubuk, Efthimios Kaxiras, Ryan P. Adams, Jonathan Appavoo, Margo I. Seltzer