Search Results for author: Esteban Real

Found 10 papers, 5 papers with code

Evolving Machine Learning Algorithms From Scratch

no code implementations ICML 2020 Esteban Real, Chen Liang, David So, Quoc Le

However, this progress has largely focused on the architecture of neural networks, where it has relied on sophisticated expert-designed layers as building blocks---or similarly restrictive search spaces.

AutoML

Multi-objective evolution for Generalizable Policy Gradient Algorithms

no code implementations8 Apr 2022 Juan Jose Garau-Luis, Yingjie Miao, John D. Co-Reyes, Aaron Parisi, Jie Tan, Esteban Real, Aleksandra Faust

Performance, generalizability, and stability are three Reinforcement Learning (RL) challenges relevant to many practical applications in which they present themselves in combination.

Continuous Control

Evolving Reinforcement Learning Algorithms

4 code implementations ICLR 2021 John D. Co-Reyes, Yingjie Miao, Daiyi Peng, Esteban Real, Sergey Levine, Quoc V. Le, Honglak Lee, Aleksandra Faust

Learning from scratch on simple classical control and gridworld tasks, our method rediscovers the temporal-difference (TD) algorithm.

Atari Games Meta-Learning +1

AutoML-Zero: Evolving Machine Learning Algorithms From Scratch

2 code implementations6 Mar 2020 Esteban Real, Chen Liang, David R. So, Quoc V. Le

However, this progress has largely focused on the architecture of neural networks, where it has relied on sophisticated expert-designed layers as building blocks---or similarly restrictive search spaces.

AutoML

NAS-Bench-101: Towards Reproducible Neural Architecture Search

4 code implementations25 Feb 2019 Chris Ying, Aaron Klein, Esteban Real, Eric Christiansen, Kevin Murphy, Frank Hutter

Recent advances in neural architecture search (NAS) demand tremendous computational resources, which makes it difficult to reproduce experiments and imposes a barrier-to-entry to researchers without access to large-scale computation.

Neural Architecture Search

Regularized Evolution for Image Classifier Architecture Search

4 code implementations5 Feb 2018 Esteban Real, Alok Aggarwal, Yanping Huang, Quoc V. Le

The effort devoted to hand-crafting neural network image classifiers has motivated the use of architecture search to discover them automatically.

Image Classification Neural Architecture Search

Large-Scale Evolution of Image Classifiers

2 code implementations ICML 2017 Esteban Real, Sherry Moore, Andrew Selle, Saurabh Saxena, Yutaka Leon Suematsu, Jie Tan, Quoc Le, Alex Kurakin

Neural networks have proven effective at solving difficult problems but designing their architectures can be challenging, even for image classification problems alone.

Hyperparameter Optimization Image Classification +1

Attention for Fine-Grained Categorization

no code implementations22 Dec 2014 Pierre Sermanet, Andrea Frome, Esteban Real

This paper presents experiments extending the work of Ba et al. (2014) on recurrent neural models for attention into less constrained visual environments, specifically fine-grained categorization on the Stanford Dogs data set.

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