Fabio Ferreira | DeepAI

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∙ 06/06/2023

Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How

With the ever-increasing number of pretrained models, machine learning p...

0 Sebastian Pineda-Arango, et al. ∙

∙ 07/16/2022

On the Importance of Hyperparameters and Data Augmentation for Self-Supervised Learning

Self-Supervised Learning (SSL) has become a very active area of Deep Lea...

0 Diane Wagner, et al. ∙

∙ 06/16/2022

Zero-Shot AutoML with Pretrained Models

Given a new dataset D and a low compute budget, how should we choose a p...

0 Ekrem Öztürk, et al. ∙

∙ 06/15/2022

Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification

Although deep neural networks are capable of achieving performance super...

18 Adrian El Baz, et al. ∙

∙ 02/06/2022

Learning Synthetic Environments and Reward Networks for Reinforcement Learning

We introduce Synthetic Environments (SEs) and Reward Networks (RNs), rep...

0 Fabio Ferreira, et al. ∙

∙ 01/24/2021

Learning Synthetic Environments for Reinforcement Learning with Evolution Strategies

This work explores learning agent-agnostic synthetic environments (SEs) ...

0 Fabio Ferreira, et al. ∙

∙ 03/20/2020

Beyond the Code: Mining Self-Admitted Technical Debt in Issue Tracker Systems

Self-admitted technical debt (SATD) is a particular case of Technical De...

0 Laerte Xavier, et al. ∙

∙ 10/24/2019

UniGrasp: Learning a Unified Model to Grasp with N-Fingered Robotic Hands

To achieve a successful grasp, gripper attributes including geometry and...

25 Lin Shao, et al. ∙

∙ 09/25/2019

Software Engineering Meets Deep Learning: A Literature Review

Deep learning (DL) is being used nowadays in many traditional software e...

0 Fabio Ferreira, et al. ∙

∙ 09/09/2019

Learning Visual Dynamics Models of Rigid Objects using Relational Inductive Biases

Endowing robots with human-like physical reasoning abilities remains cha...

0 Fabio Ferreira, et al. ∙

∙ 07/21/2019

Noise Regularization for Conditional Density Estimation

Modelling statistical relationships beyond the conditional mean is cruci...

3 Jonas Rothfuss, et al. ∙

∙ 03/03/2019

Conditional Density Estimation with Neural Networks: Best Practices and Benchmarks

Given a set of empirical observations, conditional density estimation ai...

0 Jonas Rothfuss, et al. ∙

∙ 07/02/2018

Introducing the Simulated Flying Shapes and Simulated Planar Manipulator Datasets

We release two artificial datasets, Simulated Flying Shapes and Simulate...

0 Fabio Ferreira, et al. ∙

∙ 01/12/2018

Deep Episodic Memory: Encoding, Recalling, and Predicting Episodic Experiences for Robot Action Execution

We present a novel deep neural network architecture for representing rob...

0 Jonas Rothfuss, et al. ∙

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