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01/24/2022
Text and Code Embeddings by Contrastive Pre-Training
Text embeddings are useful features in many applications such as semanti...
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05/27/2020
Synthetic Petri Dish: A Novel Surrogate Model for Rapid Architecture Search
Neural Architecture Search (NAS) explores a large space of architectural...
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02/08/2020
Generalized Hidden Parameter MDPs Transferable Model-based RL in a Handful of Trials
There is broad interest in creating RL agents that can solve many (relat...
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12/17/2019
Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data
This paper investigates the intriguing question of whether we can create...
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07/10/2019
Fully Convolutional Networks for Handwriting Recognition
Handwritten text recognition is challenging because of the virtually inf...
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12/17/2018
An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents
Much human and computational effort has aimed to improve how deep reinfo...
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12/08/2018
Efficient transfer learning and online adaptation with latent variable models for continuous control
Traditional model-based RL relies on hand-specified or learned models of...
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07/09/2018
An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution
Few ideas have enjoyed as large an impact on deep learning as convolutio...
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12/18/2017
Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning
Deep artificial neural networks (DNNs) are typically trained via gradien...
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12/18/2017
Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents
Evolution strategies (ES) are a family of black-box optimization algorit...
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03/02/2017