Ekin D. Cubuk

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All published works

Action	Title	Year	Authors
+ PDF Chat	Force field optimization by end-to-end differentiable atomistic simulation	2024	Abhijeet Gangan Samuel S. Schoenholz Ekin D. Cubuk Mathieu Bauchy N. M. Anoop Krishnan
+ PDF Chat	Generative Hierarchical Materials Search	2024	Sherry Yang Simon Batzner Ruiqi Gao Muratahan Aykol Alexander L. Gaunt Brendan McMorrow Danilo Jimenez Rezende Dale Schuurmans Igor Mordatch Ekin D. Cubuk
+ PDF Chat	Scaling (Down) CLIP: A Comprehensive Analysis of Data, Architecture, and Training Strategies	2024	Zichao Li Cihang Xie Ekin D. Cubuk
+ PDF Chat	Accurate Surface and Finite-Temperature Bulk Properties of Lithium Metal at Large Scales Using Machine Learning Interaction Potentials	2024	Mgcini Keith Phuthi Archie Mingze Yao Simon Batzner Albert Musaelian Pin-Wen Guan Boris Kozinsky Ekin D. Cubuk Venkatasubramanian Viswanathan
+ PDF Chat	Lidar Augment: Searching for Scalable 3D LiDAR Data Augmentations	2023	Zhaoqi Leng Guowang Li Chenxi Liu Ekin D. Cubuk Pei Sun Tong He Dragomir Anguelov Mingxing Tan
+ PDF Chat	G-Augment: Searching for the Meta-Structure of Data Augmentation Policies for ASR	2023	Gary Wang Ekin D. Cubuk Andrew Rosenberg Shuyang Cheng Ron J. Weiss Bhuvana Ramabhadran Pedro J. Moreno Quoc V. Le Daniel Park
+	Accurate Surface and Finite Temperature Bulk Properties of Lithium Metal at Large Scales using Machine Learning Interaction Potentials	2023	Mgcini Keith Phuthi Archie Mingze Yao Simon Batzner Albert Musaelian Boris Kozinsky Ekin D. Cubuk Venkatasubramanian Viswanathan
+	Tied-Augment: Controlling Representation Similarity Improves Data Augmentation	2023	Emirhan Kurtuluş Zichao Li Yann Dauphin Ekin D. Cubuk
+	Predicting emergence of crystals from amorphous matter with deep learning	2023	Muratahan Aykol Amil Merchant Simon Batzner Jennifer N. Wei Ekin D. Cubuk
+	Scalable Diffusion for Materials Generation	2023	Mengjiao Yang KwangHwan Cho Amil Merchant Pieter Abbeel Dale Schuurmans Igor Mordatch Ekin D. Cubuk
+	Accurate Prediction of Experimental Band Gaps from Large Language Model-Based Data Extraction	2023	Samuel Yang Shutong Li Subhashini Venugopalan Vahe Tshitoyan Muratahan Aykol Amil Merchant Ekin D. Cubuk Gowoon Cheon
+	Learning and Controlling Silicon Dopant Transitions in Graphene using Scanning Transmission Electron Microscopy	2023	Max Schwarzer Jesse Farebrother Joshua Greaves Ekin D. Cubuk Rishabh Agarwal Aaron Courville Marc G. Bellemare Sergei V. Kalinin Igor Mordatch Pablo Samuel Castro
+	AutoNumerics-Zero: Automated Discovery of State-of-the-Art Mathematical Functions	2023	Esteban Real Chen Yao Mirko Rossini Connal de Souza Manav Garg Akhil Verghese Moritz Firsching Quoc V. Le Ekin D. Cubuk David H. Park
+	Do better ImageNet classifiers assess perceptual similarity better?	2022	M. Kumar Neil Houlsby Nal Kalchbrenner Ekin D. Cubuk
+	PolyLoss: A Polynomial Expansion Perspective of Classification Loss Functions	2022	Zhaoqi Leng Mingxing Tan Chenxi Liu Ekin D. Cubuk X. D. Shi Shuyang Cheng Dragomir Anguelov
+	Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models	2022	Aarohi Srivastava Abhinav Rastogi Abhishek S. Rao Abu Awal Shoeb Abubakar Abid Adam Fisch Adam R. Brown Adam Santoro Aditya Gupta Adrià Garriga-Alonso
+	What does a deep neural network confidently perceive? The effective dimension of high certainty class manifolds and their low confidence boundaries	2022	Stanislav Fort Ekin D. Cubuk Surya Ganguli Samuel S. Schoenholz
+	G-Augment: Searching for the Meta-Structure of Data Augmentation Policies for ASR	2022	Gary Wang Ekin D. Cubuk Andrew E. Rosenberg Shuyang Cheng Ron J. Weiss Bhuvana Ramabhadran Pedro J. Moreno Quoc V. Le Daniel Park
+	LidarAugment: Searching for Scalable 3D LiDAR Data Augmentations	2022	Zhaoqi Leng Guowang Li Chenxi Liu Ekin D. Cubuk Pei Sun Tong He Dragomir Anguelov Mingxing Tan
+ PDF Chat	JAX, M.D. A framework for differentiable physics*	2021	Samuel S. Schoenholz Ekin D. Cubuk
+ PDF Chat	∂PV: An end-to-end differentiable solar-cell simulator	2021	Sean Mann Eric Fadel Samuel S. Schoenholz Ekin D. Cubuk Steven G. Johnson Giuseppe Romano
+	No One Representation to Rule Them All: Overlapping Features of Training Methods	2021	Raphael Gontijo-Lopes Yann Dauphin Ekin D. Cubuk
+ PDF Chat	Multi-Task Self-Training for Learning General Representations	2021	Golnaz Ghiasi Barret Zoph Ekin D. Cubuk Quoc V. Le Tsung-Yi Lin
+ PDF Chat	Multi-Task Self-Training for Learning General Representations	2021	Golnaz Ghiasi Barret Zoph Ekin D. Cubuk Quoc V. Le Tsung-Yi Lin
+ PDF Chat	Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation	2021	Golnaz Ghiasi Yin Cui Aravind Srinivas Rui Qian Tsung-Yi Lin Ekin D. Cubuk Quoc V. Le Barret Zoph
+ PDF Chat	Kohn-Sham Equations as Regularizer: Building Prior Knowledge into Machine-Learned Physics	2021	Li Li Stephan Hoyer Ryan Pederson Ruoxi Sun Ekin D. Cubuk Patrick Riley Kieron Burke
+	Revisiting ResNets: Improved Training and Scaling Strategies	2021	Irwan Bello William Fedus Xianzhi Du Ekin D. Cubuk Aravind Srinivas Tsung-Yi Lin Jonathon Shlens Barret Zoph
+	Learn2Hop: Learned Optimization on Rough Landscapes	2021	Amil Merchant Luke Metz Sam Schoenholz Ekin D. Cubuk
+	Multi-Task Self-Training for Learning General Representations	2021	Golnaz Ghiasi Barret Zoph Ekin D. Cubuk Quoc V. Le Tsung-Yi Lin
+	No One Representation to Rule Them All: Overlapping Features of Training Methods	2021	Raphael Gontijo-Lopes Yann Dauphin Ekin D. Cubuk
+	Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation	2020	Golnaz Ghiasi Yin Cui Aravind Srinivas Rui Qian Tsung-Yi Lin Ekin D. Cubuk Quoc V. Le Barret Zoph
+	Crystal Structure Search with Random Relaxations Using Graph Networks	2020	Gowoon Cheon Lusann Yang Kevin McCloskey Evan J. Reed Ekin D. Cubuk
+	Self-assembling kinetics: Accessing a new design space via differentiable statistical-physics models.	2020	Carl P. Goodrich Ella M. King Samuel S. Schoenholz Ekin D. Cubuk Michael P. Brenner
+	Rethinking Pre-training and Self-training	2020	Barret Zoph Golnaz Ghiasi Tsung-Yi Lin Yin Cui Hanxiao Liu Ekin D. Cubuk Quoc V. Le
+ PDF Chat	Randaugment: Practical automated data augmentation with a reduced search space	2020	Ekin D. Cubuk Barret Zoph Jonathon Shlens Quoc V. Le
+	Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation	2020	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.	2020	Liang-Chieh Chen Raphael Gontijo Lopes Bowen Cheng Maxwell D. Collins Ekin D. Cubuk Barret Zoph Hartwig Adam Jonathon Shlens
+	ReMixMatch: Semi-Supervised Learning with Distribution Matching and Augmentation Anchoring	2020	David Berthelot Nicholas Carlini Ekin D. Cubuk А.В. Куракин Kihyuk Sohn Han Zhang Colin Raffel
+	FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence	2020	Kihyuk Sohn David Berthelot Chun‐Liang Li Zizhao Zhang Nicholas Carlini Ekin D. Cubuk А.В. Куракин Han Zhang Colin Raffel
+	Affinity and Diversity: Quantifying Mechanisms of Data Augmentation	2020	Raphael Gontijo-Lopes Sylvia Smullin Ekin D. Cubuk Ethan Dyer
+	Improving 3D Object Detection through Progressive Population Based Augmentation	2020	Shuyang Cheng Zhaoqi Leng Ekin D. Cubuk Barret Zoph Chunyan Bai Jiquan Ngiam Song Yang Benjamin Caine Vijay Vasudevan Congcong Li
+	Rethinking Pre-training and Self-training	2020	Barret Zoph Golnaz Ghiasi Tsung-Yi Lin Yin Cui Hanxiao Liu Ekin D. Cubuk Quoc V. Le
+	Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation	2020	Liang-Chieh Chen Raphael Gontijo Lopes Bowen Cheng Maxwell D. Collins Ekin D. Cubuk Barret Zoph Hartwig Adam Jonathon Shlens
+	Unifying framework for strong and fragile liquids via machine learning: a study of liquid silica	2020	Ekin D. Cubuk Andrea J. Liu Efthimios Kaxiras Samuel S. Schoenholz
+	Does Data Augmentation Benefit from Split BatchNorms	2020	Amil Merchant Barret Zoph Ekin D. Cubuk
+ PDF Chat	Improving 3D Object Detection Through Progressive Population Based Augmentation	2020	Shuyang Cheng Zhaoqi Leng Ekin D. Cubuk Barret Zoph Chunyan Bai Jiquan Ngiam Song Yang Benjamin Caine Vijay Vasudevan Congcong Li
+ PDF Chat	Learning Data Augmentation Strategies for Object Detection	2020	Barret Zoph Ekin D. Cubuk Golnaz Ghiasi Tsung-Yi Lin Jonathon Shlens Quoc V. Le
+ PDF Chat	Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation	2020	Liang-Chieh Chen Raphael Gontijo Lopes Bowen Cheng Maxwell D. Collins Ekin D. Cubuk Barret Zoph Hartwig Adam Jonathon Shlens
+	Self-assembling kinetics: Accessing a new design space via differentiable statistical-physics models	2020	Carl P. Goodrich Ella M. King Samuel S. Schoenholz Ekin D. Cubuk Michael Brenner
+	Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation	2020	Golnaz Ghiasi Yin Cui Aravind Srinivas Rui Qian Tsung-Yi Lin Ekin D. Cubuk Quoc V. Le Barret Zoph
+	Dataset of Random Relaxations for Crystal Structure Search of Li-Si System	2020	Gowoon Cheon Lusann Yang Kevin McCloskey Evan J. Reed Ekin D. Cubuk
+	JAX, M.D.: End-to-End Differentiable, Hardware Accelerated, Molecular Dynamics in Pure Python	2019	Samuel S. Schoenholz Ekin D. Cubuk
+	JAX, M.D.: A Framework for Differentiable Physics	2019	Samuel S. Schoenholz Ekin D. Cubuk
+	ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring	2019	David Berthelot Nicholas Carlini Ekin D. Cubuk А.В. Куракин Kihyuk Sohn Han Zhang Colin Raffel
+	RandAugment: Practical data augmentation with no separate search.	2019	Ekin D. Cubuk Barret Zoph Jonathon Shlens Quoc V. Le
+	RandAugment: Practical automated data augmentation with a reduced search space	2019	Ekin D. Cubuk Barret Zoph Jonathon Shlens Quoc V. Le
+ PDF Chat	SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition	2019	Daniel Park William Chan Yu Zhang Chung‐Cheng Chiu Barret Zoph Ekin D. Cubuk Quoc V. Le
+	Learning Data Augmentation Strategies for Object Detection	2019	Barret Zoph Ekin D. Cubuk Golnaz Ghiasi Tsung-Yi Lin Jonathon Shlens Quoc V. Le
+	A Fourier Perspective on Model Robustness in Computer Vision	2019	Dong Yin Raphael Gontijo Lopes Jonathon Shlens Ekin D. Cubuk Justin Gilmer
+	Improving Robustness Without Sacrificing Accuracy with Patch Gaussian Augmentation	2019	Raphael Gontijo Lopes Dong Yin Ben Poole Justin Gilmer Ekin D. Cubuk
+	Using learned optimizers to make models robust to input noise	2019	Luke Metz Niru Maheswaranathan Jonathon Shlens Jascha Sohl‐Dickstein Ekin D. Cubuk
+	A Fourier Perspective on Model Robustness in Computer Vision	2019	Dong Yin Raphael Gontijo Lopes Jonathon Shlens Ekin D. Cubuk Justin Gilmer
+	AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty	2019	Dan Hendrycks Norman Mu Ekin D. Cubuk Barret Zoph Justin Gilmer Balaji Lakshminarayanan
+	JAX, M.D.: A Framework for Differentiable Physics	2019	Samuel S. Schoenholz Ekin D. Cubuk
+	ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring	2019	David Berthelot Nicholas Carlini Ekin D. Cubuk А.В. Куракин Kihyuk Sohn Han Zhang Colin Raffel
+	RandAugment: Practical automated data augmentation with a reduced search space	2019	Ekin D. Cubuk Barret Zoph Jonathon Shlens Quoc V. Le
+	Learning Data Augmentation Strategies for Object Detection	2019	Barret Zoph Ekin D. Cubuk Golnaz Ghiasi Tsung-Yi Lin Jonathon Shlens Quoc V. Le
+	Improving Robustness Without Sacrificing Accuracy with Patch Gaussian Augmentation	2019	Raphael Gontijo Lopes Dong Yin Ben Poole Justin Gilmer Ekin D. Cubuk
+ PDF Chat	Accelerated Search and Design of Stretchable Graphene Kirigami Using Machine Learning	2018	Paul Z. Hanakata Ekin D. Cubuk David Campbell Harold S. Park
+ PDF Chat	Machine learning determination of atomic dynamics at grain boundaries	2018	Tristan A. Sharp Spencer L. Thomas Ekin D. Cubuk Samuel S. Schoenholz David J. Srolovitz Andrea J. Liu
+	AutoAugment: Learning Augmentation Policies from Data	2018	Ekin D. Cubuk Barret Zoph Dandelion Mané Vijay Vasudevan Quoc V. Le
+	Realistic Evaluation of Deep Semi-Supervised Learning Algorithms.	2018	Avital Oliver Augustus Odena Colin Raffel Ekin D. Cubuk Ian Goodfellow
+	Machine learning-assisted discovery of many new solid Li-ion conducting materials	2018	Austin D. Sendek Ekin D. Cubuk Evan R. Antoniuk Gowoon Cheon Yi Cui Evan J. Reed
+	Realistic Evaluation of Deep Semi-Supervised Learning Algorithms	2018	Avital Oliver Augustus Odena Colin Raffel Ekin D. Cubuk Ian Goodfellow
+	AutoAugment: Learning Augmentation Policies from Data	2018	Ekin D. Cubuk Barret Zoph Dandelion Mané Vijay K. Vasudevan Quoc V. Le
+	Intriguing Properties of Adversarial Examples	2017	Ekin D. Cubuk Barret Zoph Samuel S. Schoenholz Quoc V. Le
+ PDF Chat	Disconnecting structure and dynamics in glassy thin films	2017	Daniel M. Sussman Samuel S. Schoenholz Ekin D. Cubuk Andrea J. Liu
+	Intriguing Properties of Adversarial Examples	2017	Ekin D. Cubuk Barret Zoph Samuel S. Schoenholz Quoc V. Le
+ PDF Chat	Relationship between local structure and relaxation in out-of-equilibrium glassy systems	2016	Samuel S. Schoenholz Ekin D. Cubuk Efthimios Kaxiras Andrea J. Liu
+ PDF Chat	High-Temperature Quantum Anomalous Hall Effect in<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mtext>−</mml:mtext><mml:mi>p</mml:mi></mml:mrow></mml:math>Codoped Topological Insulators	2016	Shifei Qi Zhenhua Qiao Xinzhou Deng Ekin D. Cubuk Hua Chen Wenguang Zhu Efthimios Kaxiras S. B. Zhang Xiaohong Xu Zhenyu Zhang
+ PDF Chat	A structural approach to relaxation in glassy liquids	2016	Samuel S. Schoenholz Ekin D. Cubuk Daniel M. Sussman Efthimios Kaxiras Andrea J. Liu
+	A structural approach to relaxation in glassy liquids	2015	Samuel S. Schoenholz Ekin D. Cubuk Daniel M. Sussman Efthimios Kaxiras Andrea J. Liu
+ PDF Chat	Identifying Structural Flow Defects in Disordered Solids Using Machine-Learning Methods	2015	Ekin D. Cubuk Samuel S. Schoenholz Jennifer M. Rieser Brad D. Malone Jörg Rottler D. J. Durian Efthimios Kaxiras Andrea J. Liu
+	A structural approach to relaxation in glassy liquids	2015	Samuel S. Schoenholz Ekin D. Cubuk Daniel M. Sussman Efthimios Kaxiras Andrea J. Liu

Common Coauthors

Coauthor	Papers Together
Barret Zoph	30
Quoc V. Le	25
Samuel S. Schoenholz	20
Jonathon Shlens	17
Tsung-Yi Lin	12
Golnaz Ghiasi	11
Raphael Gontijo Lopes	8
Andrea J. Liu	8
Colin Raffel	7
Efthimios Kaxiras	7
Shuyang Cheng	5
Amil Merchant	5
Dragomir Anguelov	5
Justin Gilmer	5
Kihyuk Sohn	4
Gowoon Cheon	4
Nicholas Carlini	4
Aravind Srinivas	4
Maxwell D. Collins	4
Han Zhang	4
Hartwig Adam	4
Yin Cui	4
Bowen Cheng	4
Simon Batzner	4
Liang-Chieh Chen	4
А.В. Куракин	4
Daniel M. Sussman	4
David Berthelot	4
Luke Metz	3
Raphael Gontijo-Lopes	3
Vijay Vasudevan	3
Yann N. Dauphin	3
Dong Yin	3
Mingxing Tan	3
Zhaoqi Leng	3
Igor Mordatch	3
Muratahan Aykol	3
Daniel Park	3
Evan J. Reed	3
Bhuvana Ramabhadran	2
Ella M. King	2
Ben Poole	2
Chunyan Bai	2
Jascha Sohl‐Dickstein	2
Kevin McCloskey	2
Song Yang	2
Boris Kozinsky	2
Albert Musaelian	2
Gary Wang	2
William Fedus	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	20
+	AutoAugment: Learning Augmentation Policies from Data	2018	Ekin D. Cubuk Barret Zoph Dandelion Mané Vijay Vasudevan Quoc V. Le	18
+	mixup: Beyond Empirical Risk Minimization	2017	Hongyi Zhang Moustapha Cissé Yann Dauphin David López-Paz	16
+	Improved Regularization of Convolutional Neural Networks with Cutout	2017	Terrance DeVries Graham W. Taylor	14
+	Wide Residual Networks	2016	Sergey Zagoruyko Nikos Komodakis	13
+ PDF Chat	Self-Training With Noisy Student Improves ImageNet Classification	2020	Qizhe Xie Minh-Thang Luong Eduard Hovy Quoc V. Le	12
+ PDF Chat	ImageNet Large Scale Visual Recognition Challenge	2015	Olga Russakovsky Jia Deng Hao Su Jonathan Krause Sanjeev Satheesh Sean Ma Zhiheng Huang Andrej Karpathy Aditya Khosla Michael S. Bernstein	9
+	Smart Augmentation Learning an Optimal Data Augmentation Strategy	2017	Joseph Lemley Shabab Bazrafkan Peter Corcoran	9
+ PDF Chat	Cut, Paste and Learn: Surprisingly Easy Synthesis for Instance Detection	2017	Debidatta Dwibedi Ishan Misra Martial Hebert	9
+ PDF Chat	Focal Loss for Dense Object Detection	2017	Tsung-Yi Lin Priya Goyal Ross Girshick Kaiming He Piotr Dollár	8
+	APAC: Augmented PAttern Classification with Neural Networks	2015	Ikuro Sato Hiroki Nishimura Kensuke Yokoi	8
+	Random Erasing Data Augmentation	2017	Zhun Zhong Liang Zheng Guoliang Kang Shaozi Li Yi Yang	8
+	EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks	2019	Mingxing Tan Quoc V. Le	8
+	Unsupervised Data Augmentation for Consistency Training	2019	Qizhe Xie Zihang Dai Eduard Hovy Minh-Thang Luong Quoc V. Le	8
+	Adversarial Examples Are a Natural Consequence of Test Error in Noise	2019	Nic Ford Justin Gilmer Nicolas Carlini Dogus Cubuk	8
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	7
+	Improving Robustness Without Sacrificing Accuracy with Patch Gaussian Augmentation	2019	Raphael Gontijo Lopes Dong Yin Ben Poole Justin Gilmer Ekin D. Cubuk	7
+ PDF Chat	DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs	2017	Liang-Chieh Chen George Papandreou Iasonas Kokkinos Kevin Murphy Alan Yuille	7
+ PDF Chat	Learning Transferable Architectures for Scalable Image Recognition	2018	Barret Zoph Vijay Vasudevan Jonathon Shlens Quoc V. Le	7
+	Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules	2019	Daniel E. Ho Eric Liang Ion Stoica Pieter Abbeel Xi Chen	7
+ PDF Chat	Going deeper with convolutions	2015	Christian Szegedy Wei Liu Yangqing Jia Pierre Sermanet Scott Reed Dragomir Anguelov Dumitru Erhan Vincent Vanhoucke Andrew Rabinovich	7
+ PDF Chat	Do Better ImageNet Models Transfer Better?	2019	Simon Kornblith Jonathon Shlens Quoc V. Le	7
+ PDF Chat	Identifying Structural Flow Defects in Disordered Solids Using Machine-Learning Methods	2015	Ekin D. Cubuk Samuel S. Schoenholz Jennifer M. Rieser Brad D. Malone Jörg Rottler D. J. Durian Efthimios Kaxiras Andrea J. Liu	7
+ PDF Chat	Learning Data Augmentation Strategies for Object Detection	2020	Barret Zoph Ekin D. Cubuk Golnaz Ghiasi Tsung-Yi Lin Jonathon Shlens Quoc V. Le	7
+	StarNet: Targeted Computation for Object Detection in Point Clouds	2019	Jiquan Ngiam Benjamin Caine Wei Han Brandon Yang Yuning Chai Pei Sun Yin Zhou Yi Xi Ouais Alsharif Patrick Nguyen	7
+ PDF Chat	Feature Pyramid Networks for Object Detection	2017	Tsung-Yi Lin Piotr Dollár Ross Girshick Kaiming He Bharath Hariharan Serge Belongie	7
+	RandAugment: Practical data augmentation with no separate search.	2019	Ekin D. Cubuk Barret Zoph Jonathon Shlens Quoc V. Le	7
+ PDF Chat	Relationship between local structure and relaxation in out-of-equilibrium glassy systems	2016	Samuel S. Schoenholz Ekin D. Cubuk Efthimios Kaxiras Andrea J. Liu	6
+	Shake-Shake regularization	2017	Xavier Gastaldi	6
+ PDF Chat	A structural approach to relaxation in glassy liquids	2016	Samuel S. Schoenholz Ekin D. Cubuk Daniel M. Sussman Efthimios Kaxiras Andrea J. Liu	6
+ PDF Chat	Revisiting Unreasonable Effectiveness of Data in Deep Learning Era	2017	Chen Sun Abhinav Shrivastava Saurabh Singh Abhinav Gupta	6
+ PDF Chat	SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition	2019	Daniel Park William Chan Yu Zhang Chung‐Cheng Chiu Barret Zoph Ekin D. Cubuk Quoc V. Le	6
+ PDF Chat	Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation	2014	Ross Girshick Jeff Donahue Trevor Darrell Jitendra Malik	6
+ PDF Chat	Multi-column deep neural networks for image classification	2012	Dan Cireşan Ueli Meier Jürgen Schmidhuber	6
+	Data-Efficient Image Recognition with Contrastive Predictive Coding	2019	Olivier J. Hénaff Aravind Srinivas Jeffrey De Fauw Ali Razavi Carl Doersch S. M. Ali Eslami Aäron van den Oord	6
+	Wide Residual Networks	2016	Sergey Zagoruyko Nikos Komodakis	5
+	Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour	2017	Priya Goyal Piotr Dollár Ross Girshick Pieter Noordhuis Lukasz Wesolowski Aapo Kyrola Andrew Tulloch Yangqing Jia Kaiming He	5
+	S4L: Self-Supervised Semi-Supervised Learning	2019	Xiaohua Zhai Avital Oliver Alexander Kolesnikov Lucas Beyer	5
+	Dataset Augmentation in Feature Space	2017	Terrance DeVries Graham W. Taylor	5
+ PDF Chat	Data Distillation: Towards Omni-Supervised Learning	2018	Ilija Radosavovic Piotr Dollár Ross Girshick Georgia Gkioxari Kaiming He	5
+	Learning with Pseudo-Ensembles	2014	Phil Bachman Ouais Alsharif Doina Precup	5
+	Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning	2017	Takeru Miyato Shin‐ichi Maeda Masanori Koyama Shin Ishii	5
+	Why do deep convolutional networks generalize so poorly to small image transformations	2018	Aharon Azulay Yair Weiss	5
+ PDF Chat	In-Datacenter Performance Analysis of a Tensor Processing Unit	2017	Norman P. Jouppi Cliff Young Nishant Patil David A. Patterson Gaurav Agrawal Raminder Bajwa S. C. Bates Suresh Bhatia Nan Boden Al Borchers	5
+	The Effectiveness of Data Augmentation in Image Classification using Deep Learning	2017	Luis Perez Jason Wang	5
+	Exploring the Limits of Weakly Supervised Pretraining	2018	Dhruv Mahajan Ross Girshick Vignesh Ramanathan Kaiming He Manohar Paluri Yixuan Li Ashwin Bharambe Laurens van der Maaten	5
+	Intriguing Properties of Adversarial Examples	2017	Ekin D. Cubuk Barret Zoph Samuel S. Schoenholz Quoc V. Le	5
+	Data Augmentation in Emotion Classification Using Generative Adversarial Networks	2017	Xinyue Zhu Yifan Liu Zengchang Qin Jiahong Li	5
+	Data Augmentation Generative Adversarial Networks	2017	Antreas Antoniou Amos Storkey Harrison Edwards	5
+	Neural Architecture Search with Reinforcement Learning	2016	Barret Zoph Quoc V. Le	5