E. Cubuk

Most-cited papers

FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence
Kihyuk Sohn, David Berthelot, Chun-Liang Li, Zizhao Zhang +5 more
2020Neural Information Processing Systems5,208 citations
Semantic Scholar
Randaugment: Practical automated data augmentation with a reduced search space
E. Cubuk, Barret Zoph, Jonathon Shlens, Quoc V. Le
20192020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)4,496 citations Open access
Semantic Scholar
SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition
Daniel S. Park, William Chan, Yu Zhang, C. Chiu +3 more
2019Interspeech4,308 citations Open access
Semantic Scholar
AutoAugment: Learning Augmentation Strategies From Data
E. Cubuk, Barret Zoph, Ma-Ne Dan, Vijay Vasudevan +1 more
2019Computer Vision and Pattern Recognition2,737 citations
Semantic Scholar
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, Abu Awal Md Shoeb +446 more
2022arXiv.org2,702 citations
Semantic Scholar
Scaling deep learning for materials discovery
Amil Merchant, Simon Batzner, S. Schoenholz, M. Aykol +2 more
2023Nature1,855 citations Open access
Semantic Scholar
AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty
Dan Hendrycks, Norman Mu, E. Cubuk, Barret Zoph +2 more
2019International Conference on Learning Representations1,706 citations
Semantic Scholar
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation
Golnaz Ghiasi, Yin Cui, A. Srinivas, Rui Qian +4 more
2020Computer Vision and Pattern Recognition1,425 citations Open access
Semantic Scholar
An autonomous laboratory for the accelerated synthesis of inorganic materials
N. Szymanski, Bernardus Rendy, Yu-Xing Fei, Rishi E. Kumar +12 more
2023Nature1,018 citations Open access
Semantic Scholar
Realistic Evaluation of Semi-Supervised Learning Algorithms
Avital Oliver, A. Odena, Colin A. Raffel, E. Cubuk +1 more
2018International Conference on Learning Representations864 citations
Semantic Scholar
ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring
David Berthelot, Nicholas Carlini, E. Cubuk, Alexey Kurakin +3 more
2019arXiv.org815 citations
Semantic Scholar
Rethinking Pre-training and Self-training
Barret Zoph, Golnaz Ghiasi, Tsung-Yi Lin, Yin Cui +3 more
2020Neural Information Processing Systems761 citations
Semantic Scholar
A Fourier Perspective on Model Robustness in Computer Vision
Dong Yin, Raphael Gontijo Lopes, Jonathon Shlens, E. Cubuk +1 more
2019Neural Information Processing Systems678 citations
Semantic Scholar
Learning Data Augmentation Strategies for Object Detection
Barret Zoph, E. Cubuk, Golnaz Ghiasi, Tsung-Yi Lin +2 more
2019European Conference on Computer Vision619 citations Open access
Semantic Scholar
ReMixMatch: Semi-Supervised Learning with Distribution Matching and Augmentation Anchoring
David Berthelot, Nicholas Carlini, E. Cubuk, Alexey Kurakin +3 more
2020International Conference on Learning Representations488 citations
Semantic Scholar
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, Abu Awal Md Shoeb +446 more
2023Trans. Mach. Learn. Res.411 citations
Semantic Scholar
Revisiting ResNets: Improved Training and Scaling Strategies
Irwan Bello, W. Fedus, Xianzhi Du, E. Cubuk +4 more
2021Neural Information Processing Systems379 citations
Semantic Scholar
Unveiling the predictive power of static structure in glassy systems
V. Bapst, T. Keck, A. Grabska-Barwinska, C. Donner +7 more
2020358 citations
Semantic Scholar
Adversarial Examples Are a Natural Consequence of Test Error in Noise
Nic Ford, J. Gilmer, Nicholas Carlini, E. Cubuk
2019International Conference on Machine Learning348 citations
Semantic Scholar
Machine Learning-Assisted Discovery of Solid Li-Ion Conducting Materials
Austin D. Sendek, E. Cubuk, Evan R. Antoniuk, Gowoon Cheon +2 more
2018Chemistry of Materials298 citations
Semantic Scholar
RandAugment: Practical data augmentation with no separate search
E. Cubuk, Barret Zoph, Jonathon Shlens, Quoc V. Le
2019arXiv.org266 citations
Semantic Scholar
A practical guide to machine learning interatomic potentials - Status and future
R. Jacobs, Dane Morgan, S. Attarian, Jun Meng +26 more
2025Current opinion in solid state & materials science248 citations Open access
Semantic Scholar
Improving Robustness Without Sacrificing Accuracy with Patch Gaussian Augmentation
Raphael Gontijo Lopes, Dong Yin, B. Poole, J. Gilmer +1 more
2019arXiv.org231 citations
Semantic Scholar
PolyLoss: A Polynomial Expansion Perspective of Classification Loss Functions
Zhaoqi Leng, Mingxing Tan, Chenxi Liu, E. Cubuk +3 more
2022International Conference on Learning Representations218 citations Open access
Semantic Scholar
JAX, M.D. A framework for differentiable physics
S. Schoenholz, E. Cubuk
2020Neural Information Processing Systems216 citations Open access
Semantic Scholar
Kohn-Sham equations as regularizer: building prior knowledge into machine-learned physics
Li Li, Stephan Hoyer, Ryan Pederson, Ruoxi Sun +3 more
2020Physical Review Letters155 citations Open access
Semantic Scholar
Accelerated Search and Design of Stretchable Graphene Kirigami Using Machine Learning.
Paul Z. Hanakata, E. Cubuk, D. Campbell, Harold S. Park
2018Physical Review Letters132 citations Open access
Semantic Scholar
Multi-Task Self-Training for Learning General Representations
Golnaz Ghiasi, Barret Zoph, E. Cubuk, Quoc V. Le +1 more
2021IEEE International Conference on Computer Vision123 citations
Semantic Scholar
Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation
Liang-Chieh Chen, Raphael Gontijo Lopes, Bowen Cheng, Maxwell D. Collins +4 more
2020European Conference on Computer Vision122 citations Open access
Semantic Scholar
Screening billions of candidates for solid lithium-ion conductors: A transfer learning approach for small data.
E. Cubuk, Austin D. Sendek, E. Reed
2019Journal of Chemical Physics121 citations
Semantic Scholar
Machine learning determination of atomic dynamics at grain boundaries
Tristan A. Sharp, Spencer L. Thomas, E. Cubuk, S. Schoenholz +2 more
2018Proceedings of the National Academy of Sciences of the United States of America95 citations Open access
Semantic Scholar
Scalable Diffusion for Materials Generation
Mengjiao Yang, KwangHwan Cho, Amil Merchant, Pieter Abbeel +3 more
2023International Conference on Learning Representations89 citations
Semantic Scholar
Machine Learning Modeling for Accelerated Battery Materials Design in the Small Data Regime
Austin D. Sendek, Brandi Ransom, E. Cubuk, Lenson A. Pellouchoud +2 more
202288 citations
Semantic Scholar
Affinity and Diversity: Quantifying Mechanisms of Data Augmentation
Raphael Gontijo-Lopes, S. Smullin, E. Cubuk, Ethan Dyer
2020arXiv.org87 citations
Semantic Scholar
Improving 3D Object Detection through Progressive Population Based Augmentation
Shu-Yang Cheng, Zhaoqi Leng, E. Cubuk, Barret Zoph +9 more
2020European Conference on Computer Vision78 citations Open access
Semantic Scholar
Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation
Liang-Chieh Chen, Raphael Gontijo Lopes, Bowen Cheng, Maxwell D. Collins +4 more
2020arXiv.org74 citations
Semantic Scholar
No One Representation to Rule Them All: Overlapping Features of Training Methods
Raphael Gontijo Lopes, Y. Dauphin, E. Cubuk
2021International Conference on Learning Representations73 citations
Semantic Scholar
Tradeoffs in Data Augmentation: An Empirical Study
Raphael Gontijo Lopes, S. Smullin, E. Cubuk, Ethan Dyer
2021International Conference on Learning Representations73 citations
Semantic Scholar
Designing self-assembling kinetics with differentiable statistical physics models
C. Goodrich, Ella M. King, S. Schoenholz, E. Cubuk +1 more
2021Proceedings of the National Academy of Sciences of the United States of America68 citations Open access
Semantic Scholar
Implanted neural network potentials: Application to Li-Si alloys
Berk Onat, E. Cubuk, Brad D. Malone, E. Kaxiras
201862 citations Open access
Semantic Scholar
Forward and inverse design of kirigami via supervised autoencoder
Paul Z. Hanakata, E. Cubuk, D. Campbell, Harold S. Park
202045 citations Open access
Semantic Scholar
CURIE: Evaluating LLMs On Multitask Scientific Long Context Understanding and Reasoning
Hao Cui, Zahra Shamsi, Gowoon Cheon, Xuejian Ma +30 more
2025International Conference on Learning Representations42 citations
Semantic Scholar
Do better ImageNet classifiers assess perceptual similarity better?
Manoj Kumar, N. Houlsby, N. Kalchbrenner, E. Cubuk
2022Trans. Mach. Learn. Res.42 citations
Semantic Scholar
JAX, M.D.: End-to-End Differentiable, Hardware Accelerated, Molecular Dynamics in Pure Python
S. Schoenholz, E. Cubuk
201941 citations
Semantic Scholar
Combining superionic conduction and favorable decomposition products in the crystalline lithium-boron-sulfur system: a new mechanism for stabilizing solid Li-ion electrolytes.
Austin D. Sendek, Evan R. Antoniuk, E. Cubuk, Brandi Ransom +4 more
2020ACS Applied Materials and Interfaces32 citations
Semantic Scholar
Using learned optimizers to make models robust to input noise
Luke Metz, Niru Maheswaranathan, Jonathon Shlens, Jascha Narain Sohl-Dickstein +1 more
2019arXiv.org26 citations
Semantic Scholar
System of Agentic AI for the Discovery of Metal-Organic Frameworks
T. J. Inizan, Sherry Yang, Aaron D. Kaplan, Yen-Hsu Lin +11 more
2025arXiv.org23 citations
Semantic Scholar
Generative Hierarchical Materials Search
Sherry Yang, Simon Batzner, Ruiqi Gao, M. Aykol +6 more
2024Neural Information Processing Systems23 citations
Semantic Scholar
Accurate Surface and Finite-Temperature Bulk Properties of Lithium Metal at Large Scales Using Machine Learning Interaction Potentials
Mgcini Keith Phuthi, A. Yao, Simon L. Batzner, Albert Musaelian +4 more
2023ACS Omega20 citations Open access
Semantic Scholar
Learn2Hop: Learned Optimization on Rough Landscapes
Amil Merchant, Luke Metz, S. Schoenholz, E. Cubuk
2021International Conference on Machine Learning19 citations
Semantic Scholar