Transfer of learning

Continual lifelong learning with neural networks: A review

German I. Parisi, Ronald Kemker, Jose L. Part, Christopher Kanan, Stefan Wermter

Citations: 2977 • 2019

A Survey on Deep Transfer Learning

Chuanqi Tan, Fuchun Sun, Tao Kong, Wenchang Zhang, Chao Yang, Chunfang Liu

Citations: 2857 • 2018

Domain randomization for transferring deep neural networks from simulation to the real world

Josh Tobin, Rachel Fong, Alex Ray, Jonas Schneider, Wojciech Zaremba, Pieter Abbeel

Citations: 2736 • 2017

DeepFruits: A Fruit Detection System Using Deep Neural Networks

Inkyu Sa, Zongyuan Ge, Feras Dayoub, Ben Upcroft, Tristán Pérez, Chris McCool

Citations: 1079 • 2016

Sim-to-Real Transfer in Deep Reinforcement Learning for Robotics: a Survey

Citations: 673 • 2020

Transfer Learning in Deep Reinforcement Learning: A Survey

Zhuangdi Zhu, Kaixiang Lin, Anil K. Jain, Jiayu Zhou

Citations: 672 • 2023

A Study on CNN Transfer Learning for Image Classification

Mahbub Hussain, Jordan J. Bird, Diego R. Faria

Citations: 607 • 2018

Lifelong robot learning

Sebastian Thrun, Tom M. Mitchell

Citations: 507 • 1995

Depth Prediction without the Sensors: Leveraging Structure for Unsupervised Learning from Monocular Videos

Vincent Casser, Sören Pirk, Reza Mahjourian, Anelia Angelova

Citations: 491 • 2019

DeepWeeds: A Multiclass Weed Species Image Dataset for Deep Learning

Alex Olsen, Dmitry A. Konovalov, Bronson Philippa, Peter Ridd, Jake Wood, Jamie Johns, Wesley Banks, Benjamin Girgenti, Owen P. Kenny, James Whinney, Brendan Calvert, Mostafa Rahimi Azghadi, Ronald D. White

Citations: 487 • 2019

A Survey on Negative Transfer

Wen Zhang, Lingfei Deng, Lei Zhang, Dongrui Wu

Citations: 331 • 2022

RGB-D object recognition and pose estimation based on pre-trained convolutional neural network features

Max Schwarz, Hannes Schulz, Sven Behnke

Citations: 321 • 2015

Learning for a Robot: Deep Reinforcement Learning, Imitation Learning, Transfer Learning

Liangcai Zeng, Gongfa Li, Zhaojie Ju

Citations: 222 • 2021

Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World

Josh Tobin, Rachel Fong, Alex Ray, Jonas Schneider, Wojciech Zaremba, Pieter Abbeel

Citations: 206 • 2017

Cross-domain transfer for reinforcement learning

Matthew E. Taylor, Peter Stone

Citations: 204 • 2007

Discovering Structure in Multiple Learning Tasks: The TC Algorithm.

Sebastian Thrun, Joseph A. O’Sullivan

Citations: 203 • 1996

Reinforcement Learning for Robust Parameterized Locomotion Control of Bipedal Robots

Zhongyu Li, Xuxin Cheng, Xue Bin Peng, Pieter Abbeel, Sergey Levine, Glen Berseth, Koushil Sreenath

Citations: 200 • 2021

Successor Features for Transfer in Reinforcement Learning

André Sales Barreto, Will Dabney, Rémi Munos, Jonathan J. Hunt, Tom Schaul, Hado van Hasselt, David Silver

Citations: 184 • 2016

Transfer learning for sEMG hand gestures recognition using convolutional neural networks

Ulysse Côté‐Allard, Cheikh Latyr Fall, Alexandre Campeau‐Lecours, Clément Gosselin, François Laviolette, Benoit Gosselin

Citations: 174 • 2017

Transfer learning between crop types for semantic segmentation of crops versus weeds in precision agriculture

Petra Bosilj, Erchan Aptoula, Tom Duckett, Grzegorz Cielniak

Citations: 161 • 2019