Mnemonics Training: Multi-Class Incremental Learning without Forgetting

Mnemonics Training: Multi-Class Incremental Learning without Forgetting

24 February 2020

Bernt Schiele

Papers citing "Mnemonics Training: Multi-Class Incremental Learning without Forgetting"

12 / 62 papers shown

Title
Replay in Deep Learning: Current Approaches and Missing Biological Elements Tyler L. Hayes G. Krishnan M. Bazhenov H. Siegelmann T. Sejnowski Christopher Kanan CLL 31 129 0 01 Apr 2021
Training Networks in Null Space of Feature Covariance for Continual Learning Shipeng Wang Xiaorong Li Jian Sun Zongben Xu CLL 26 129 0 12 Mar 2021
Selective Replay Enhances Learning in Online Continual Analogical Reasoning Tyler L. Hayes Christopher Kanan CLL 16 20 0 06 Mar 2021
Essentials for Class Incremental Learning Sudhanshu Mittal Silvio Galesso Thomas Brox CLL 12 96 0 18 Feb 2021
Self-Supervised Features Improve Open-World Learning A. Dhamija T. Ahmad Jonathan Schwan Mohsen Jafarzadeh Chunchun Li Terrance E. Boult SSL 14 13 0 15 Feb 2021
Investigating Bi-Level Optimization for Learning and Vision from a Unified Perspective: A Survey and Beyond Risheng Liu Jiaxin Gao Jin Zhang Deyu Meng Zhouchen Lin AI4CE 43 221 0 27 Jan 2021
Adaptive Aggregation Networks for Class-Incremental Learning Yaoyao Liu Bernt Schiele Qianru Sun CLL 13 215 0 10 Oct 2020
Learning to Segment the Tail Xinting Hu Yi Jiang Kaihua Tang Jingyuan Chen C. Miao Hanwang Zhang VLM CLL 13 80 0 02 Apr 2020
Meta-Transfer Learning through Hard Tasks Qianru Sun Yaoyao Liu Zhaozheng Chen Tat-Seng Chua Bernt Schiele 14 98 0 07 Oct 2019
Learning Adaptive Classifiers Synthesis for Generalized Few-Shot Learning Han-Jia Ye Hexiang Hu De-Chuan Zhan 17 59 0 07 Jun 2019
An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning Yaoyao Liu Bernt Schiele Qianru Sun BDL 22 128 0 17 Apr 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 281 11,677 0 09 Mar 2017