Mnemonics Training: Multi-Class Incremental Learning without Forgetting

24 February 2020

Bernt Schiele

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

20 / 70 papers shown

Title
Total Recall: a Customized Continual Learning Method for Neural Semantic Parsers Zhuang Li Lizhen Qu Gholamreza Haffari CLL 37 15 0 11 Sep 2021
Memory-Free Generative Replay For Class-Incremental Learning Xiaomeng Xin Yiran Zhong Yunzhong Hou Jinjun Wang Liang Zheng 24 8 0 01 Sep 2021
Generalized and Incremental Few-Shot Learning by Explicit Learning and Calibration without Forgetting Anna Kukleva Hilde Kuehne Bernt Schiele CLL 15 50 0 18 Aug 2021
An Investigation of Replay-based Approaches for Continual Learning Benedikt Bagus A. Gepperth CLL 33 33 0 15 Aug 2021
Generative Feature-driven Image Replay for Continual Learning Kevin Thandiackal Tiziano Portenier Andrea Giovannini M. Gabrani O. Goksel CLL VLM DiffM 18 9 0 09 Jun 2021
Class-Incremental Learning for Wireless Device Identification in IoT Yongxin Liu Jian Wang Jianqiang Li Shuteng Niu Haoze Song 31 58 0 08 May 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
Balanced softmax cross-entropy for incremental learning with and without memory Quentin Jodelet Xin Liu T. Murata CLL 24 25 0 23 Mar 2021
Training Networks in Null Space of Feature Covariance for Continual Learning Shipeng Wang Xiaorong Li Jian Sun Zongben Xu CLL 31 131 0 12 Mar 2021
Selective Replay Enhances Learning in Online Continual Analogical Reasoning Tyler L. Hayes Christopher Kanan CLL 19 20 0 06 Mar 2021
Essentials for Class Incremental Learning Sudhanshu Mittal Silvio Galesso Thomas Brox CLL 19 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 24 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 59 222 0 27 Jan 2021
Adaptive Aggregation Networks for Class-Incremental Learning Yaoyao Liu Bernt Schiele Qianru Sun CLL 21 215 0 10 Oct 2020
Learning to Segment the Tail Xinting Hu Yi Jiang Kaihua Tang Jingyuan Chen Chunyan Miao Hanwang Zhang VLM CLL 22 80 0 02 Apr 2020
Conditional Gaussian Distribution Learning for Open Set Recognition Xin Sun Zhen Yang Chi Zhang Guohao Peng K. Ling BDL UQCV 155 216 0 19 Mar 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 25 59 0 07 Jun 2019
An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning Yaoyao Liu Bernt Schiele Qianru Sun BDL 33 128 0 17 Apr 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 365 11,700 0 09 Mar 2017