Field dossier · from the corpus

Lifelong learning

0predicted collisions

Where this field is predicted to collide

No open collisions on this field in the current run.

Most cited work

Continual lifelong learning with neural networks: A review

20193,118 citationsDOI ↗

Selective Experience Replay for Lifelong Learning

2018361 citationsDOI ↗

Learning to Learn without Forgetting by Maximizing Transfer and\n Minimizing Interference

2018348 citationsDOI ↗

Signals

3

Papers · in corpus

3.8k

Citations · corpus total

0.0%

Recent share · since 2024

2018–2019

Span · publication years

Who is doing the work

Honda (Japan)JP1
University of VirginiaUS1
Georgia Institute of TechnologyUS1
University of PennsylvaniaUS1
Universität HamburgDE1
Heriot-Watt UniversityGB1
Rochester Institute of TechnologyUS1
Honda (United States)US1

Most published researchers

Yuhai Tu1
Gerald Tesauro1
Matthew Riemer1
Ignacio Cases1
Miao Liu1
Robert Ajemian1

Already lives beside

Fields this one already co-publishes with. A predicted collision is a departure from this neighbourhood, not an extension of it.

Artificial intelligence2 Forgetting2 Process (computing)1 FIFO (computing and electronics)1 Matching (statistics)1 Surprise1 Reinforcement learning1 Machine learning1 Transfer of learning1 Artificial neural network1

Lifelong learning · Raz0r Prism