Sequential mastery of multiple visual tasks: Networks naturally learn to learn and forget to forget

26 May 2019

Papers citing "Sequential mastery of multiple visual tasks: Networks naturally learn to learn and forget to forget"

16 / 16 papers shown

Title
Bridging Neuroscience and AI: Environmental Enrichment as a Model for Forward Knowledge Transfer Rajat Saxena Bruce L. McNaughton CLL 59 2 0 12 May 2024
A comprehensive and easy-to-use multi-domain multi-task medical imaging meta-dataset (MedIMeta) S. Woerner Arthur Jaques Christian F. Baumgartner VLM 31 3 0 24 Apr 2024
Reawakening knowledge: Anticipatory recovery from catastrophic interference via structured training Yanlai Yang Matt Jones Michael C. Mozer Mengye Ren 68 1 0 14 Mar 2024
RMM: Reinforced Memory Management for Class-Incremental Learning Yaoyao Liu Bernt Schiele Qianru Sun CLL 37 93 0 14 Jan 2023
Discrete Key-Value Bottleneck Frederik Trauble Anirudh Goyal Nasim Rahaman Michael C. Mozer Kenji Kawaguchi Yoshua Bengio Bernhard Schölkopf CLL 26 22 0 22 Jul 2022
Measuring Forgetting of Memorized Training Examples Matthew Jagielski Om Thakkar Florian Tramèr Daphne Ippolito Katherine Lee ... Eric Wallace Shuang Song Abhradeep Thakurta Nicolas Papernot Chiyuan Zhang TDI 75 102 0 30 Jun 2022
Incremental Learning Meets Transfer Learning: Application to Multi-site Prostate MRI Segmentation Chenyu You Jinlin Xiang Kun Su Xiaoran Zhang Siyuan Dong J. Onofrey Lawrence H. Staib James S. Duncan CLL 28 51 0 03 Jun 2022
Thalamus: a brain-inspired algorithm for biologically-plausible continual learning and disentangled representations Ali Hummos CLL 14 11 0 24 May 2022
DILF-EN framework for Class-Incremental Learning M. A. Karim Indu Joshi Pratik Mazumder Pravendra Singh CLL 30 1 0 23 Dec 2021
On robustness of generative representations against catastrophic forgetting Wojciech Masarczyk Kamil Deja Tomasz Trzciñski 14 3 0 04 Sep 2021
Replay in Deep Learning: Current Approaches and Missing Biological Elements Tyler L. Hayes G. Krishnan M. Bazhenov H. Siegelmann T. Sejnowski Christopher Kanan CLL 38 130 0 01 Apr 2021
Factors of Influence for Transfer Learning across Diverse Appearance Domains and Task Types Thomas Mensink J. Uijlings Alina Kuznetsova Michael Gygli V. Ferrari VLM 43 81 0 24 Mar 2021
Transforming Neural Network Visual Representations to Predict Human Judgments of Similarity Maria Attarian Brett D. Roads Michael C. Mozer 10 18 0 13 Oct 2020
Adaptive Aggregation Networks for Class-Incremental Learning Yaoyao Liu Bernt Schiele Qianru Sun CLL 21 215 0 10 Oct 2020
Insights from the Future for Continual Learning Arthur Douillard Eduardo Valle Charles Ollion Thomas Robert Matthieu Cord VLM CLL 26 11 0 24 Jun 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 446 11,715 0 09 Mar 2017