Felipe Petroski Such | DeepAI

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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...

5 Arvind Neelakantan, et al. ∙

∙ 05/27/2020

Synthetic Petri Dish: A Novel Surrogate Model for Rapid Architecture Search

Neural Architecture Search (NAS) explores a large space of architectural...

18 Aditya Rawal, et al. ∙

∙ 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...

0 Christian F. Perez, et al. ∙

∙ 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...

36 Felipe Petroski Such, et al. ∙

∙ 07/10/2019

Fully Convolutional Networks for Handwriting Recognition

Handwritten text recognition is challenging because of the virtually inf...

0 Felipe Petroski Such, et al. ∙

∙ 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...

6 Felipe Petroski Such, et al. ∙

∙ 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...

0 Christian F. Perez, et al. ∙

∙ 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...

6 Rosanne Liu, et al. ∙

∙ 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...

0 Felipe Petroski Such, et al. ∙

∙ 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...

0 Edoardo Conti, et al. ∙

∙ 03/02/2017

Robust Spatial Filtering with Graph Convolutional Neural Networks

Convolutional Neural Networks (CNNs) have recently led to incredible bre...

0 Felipe Petroski Such, et al. ∙

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