Attention for Fine-Grained Categorization. - Pierre Sermanet; Andrea Frome; Esteban Real (ICLR (Workshop), 2015)

YouTube-BoundingBoxes: A Large High-Precision Human-Annotated Data Set for Object Detection in Video. - Esteban Real; Jonathon Shlens; Stefano Mazzocchi; Xin Pan; Vincent Vanhoucke (CVPR, 2017)

Large-Scale Evolution of Image Classifiers. - Esteban Real; Sherry Moore; Andrew Selle; Saurabh Saxena; Yutaka I. Leon-Suematsu; Jie Tan 001; Quoc V. Le; Alexey Kurakin (ICML, 2017)

Large-Scale Evolution of Image Classifiers. - Esteban Real; Sherry Moore; Andrew Selle; Saurabh Saxena; Yutaka I. Leon-Suematsu; Quoc V. Le; Alex Kurakin (CoRR, 2017)

Regularized Evolution for Image Classifier Architecture Search. - Esteban Real; Alok Aggarwal; Yanping Huang; Quoc V. Le (AAAI, 2019)

NAS-Bench-101: Towards Reproducible Neural Architecture Search. - Chris Ying; Aaron Klein; Eric Christiansen; Esteban Real; Kevin Murphy 002; Frank Hutter (ICML, 2019)

AutoML-Zero: Evolving Machine Learning Algorithms From Scratch. - Esteban Real; Chen Liang; David R. So; Quoc V. Le (ICML, 2020)

PyGlove: Symbolic Programming for Automated Machine Learning. - Daiyi Peng; Xuanyi Dong; Esteban Real; Mingxing Tan; Yifeng Lu; Gabriel Bender; Hanxiao Liu; Adam Kraft; Chen Liang; Quoc Le 001 (NeurIPS, 2020)

Evolving Reinforcement Learning Algorithms. - John D. Co-Reyes; Yingjie Miao; Daiyi Peng; Esteban Real; Quoc V. Le; Sergey Levine; Honglak Lee; Aleksandra Faust (ICLR, 2021)

Multi-objective evolution for Generalizable Policy Gradient Algorithms. - Juan Jose Garau Luis; Yingjie Miao; John D. Co-Reyes; Aaron Parisi; Jie Tan 001; Esteban Real; Aleksandra Faust (CoRR, 2022)

Discovering Adaptable Symbolic Algorithms from Scratch. - Stephen Kelly; Daniel S. Park; Xingyou Song; Mitchell McIntire; Pranav Nashikkar; Ritam Guha; Wolfgang Banzhaf; Kalyanmoy Deb; Vishnu Naresh Boddeti; Jie Tan 001; Esteban Real (IROS, 2023)

Symbolic Discovery of Optimization Algorithms. - Xiangning Chen; Chen Liang; Da Huang; Esteban Real; Kaiyuan Wang; Hieu Pham 001; Xuanyi Dong; Thang Luong; Cho-Jui Hsieh; Yifeng Lu; Quoc V. Le (NeurIPS, 2023)

PyGlove: Efficiently Exchanging ML Ideas as Code. - Daiyi Peng; Xuanyi Dong; Esteban Real; Yifeng Lu; Quoc V. Le (CoRR, 2023)

Unified Functional Hashing in Automatic Machine Learning. - Ryan Gillard; Stephen Jonany; Yingjie Miao; Michael Munn; Connal de Souza; Jonathan Dungay; Chen Liang; David R. So; Quoc V. Le; Esteban Real (CoRR, 2023)

Symbolic Discovery of Optimization Algorithms. - Xiangning Chen; Chen Liang; Da Huang; Esteban Real; Kaiyuan Wang; Yao Liu; Hieu Pham 001; Xuanyi Dong; Thang Luong; Cho-Jui Hsieh; Yifeng Lu; Quoc V. Le (CoRR, 2023)

AutoNumerics-Zero: Automated Discovery of State-of-the-Art Mathematical Functions. - Esteban Real; Yao Chen; Mirko Rossini; Connal de Souza; Manav Garg; Akhil Verghese; Moritz Firsching; Quoc V. Le; Ekin Dogus Cubuk; David H. Park (CoRR, 2023)

Guided Evolution with Binary Discriminators for ML Program Search. - John D. Co-Reyes; Yingjie Miao; George Tucker; Aleksandra Faust; Esteban Real (CoRR, 2024)