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Gradient Episodic Memory for Continual Learning
v1v2v3v4v5v6 (latest)

Gradient Episodic Memory for Continual Learning

26 June 2017
David Lopez-Paz
MarcÁurelio Ranzato
    VLMCLL
ArXiv (abs)PDFHTML

Papers citing "Gradient Episodic Memory for Continual Learning"

50 / 1,594 papers shown
Title
Kernel Continual Learning
Kernel Continual Learning
Mohammad Mahdi Derakhshani
Xiantong Zhen
Ling Shao
Cees G. M. Snoek
CLLBDLVLM
120
38
0
12 Jul 2021
Lifelong Mixture of Variational Autoencoders
Lifelong Mixture of Variational Autoencoders
Fei Ye
A. Bors
DRL
49
27
0
09 Jul 2021
Split-and-Bridge: Adaptable Class Incremental Learning within a Single
  Neural Network
Split-and-Bridge: Adaptable Class Incremental Learning within a Single Neural Network
Jong-Yeong Kim
Dong-Wan Choi
CLL
66
25
0
03 Jul 2021
Disentangling Transfer and Interference in Multi-Domain Learning
Disentangling Transfer and Interference in Multi-Domain Learning
Yipeng Zhang
Tyler L. Hayes
Christopher Kanan
140
3
0
02 Jul 2021
Tackling Catastrophic Forgetting and Background Shift in Continual
  Semantic Segmentation
Tackling Catastrophic Forgetting and Background Shift in Continual Semantic Segmentation
Arthur Douillard
Yifu Chen
Arnaud Dapogny
Matthieu Cord
CLL
61
21
0
29 Jun 2021
AutoNovel: Automatically Discovering and Learning Novel Visual
  Categories
AutoNovel: Automatically Discovering and Learning Novel Visual Categories
Kai Han
Sylvestre-Alvise Rebuffi
Sébastien Ehrhardt
Andrea Vedaldi
Andrew Zisserman
SSL
80
133
0
29 Jun 2021
Unsupervised Continual Learning via Self-Adaptive Deep Clustering
  Approach
Unsupervised Continual Learning via Self-Adaptive Deep Clustering Approach
Mahardhika Pratama
Andri Ashfahani
E. Lughofer
SSLCLL
120
16
0
28 Jun 2021
Co$^2$L: Contrastive Continual Learning
Co2^22L: Contrastive Continual Learning
Hyuntak Cha
Jaeho Lee
Jinwoo Shin
CLLSSLVLM
147
309
0
28 Jun 2021
Continual Learning via Inter-Task Synaptic Mapping
Continual Learning via Inter-Task Synaptic Mapping
Fubing Mao
Weiwei Weng
Mahardhika Pratama
E. Yapp
CLLKELM
119
21
0
26 Jun 2021
Continual Competitive Memory: A Neural System for Online Task-Free
  Lifelong Learning
Continual Competitive Memory: A Neural System for Online Task-Free Lifelong Learning
Alexander Ororbia
CLL
104
5
0
24 Jun 2021
Continual Novelty Detection
Continual Novelty Detection
Rahaf Aljundi
Daniel Olmeda Reino
N. Chumerin
Richard Turner
41
11
0
24 Jun 2021
Task-agnostic Continual Learning with Hybrid Probabilistic Models
Task-agnostic Continual Learning with Hybrid Probabilistic Models
Polina Kirichenko
Mehrdad Farajtabar
Dushyant Rao
Balaji Lakshminarayanan
Nir Levine
Ang Li
Huiyi Hu
A. Wilson
Razvan Pascanu
VLMBDLCLL
79
20
0
24 Jun 2021
Multiband VAE: Latent Space Alignment for Knowledge Consolidation in
  Continual Learning
Multiband VAE: Latent Space Alignment for Knowledge Consolidation in Continual Learning
Kamil Deja
Pawel Wawrzyñski
Wojciech Masarczyk
Daniel Marczak
Tomasz Trzciñski
CLL
66
5
0
23 Jun 2021
On the importance of cross-task features for class-incremental learning
On the importance of cross-task features for class-incremental learning
Albin Soutif--Cormerais
Marc Masana
Joost van de Weijer
Bartlomiej Twardowski
CLL
96
20
0
22 Jun 2021
Iterative Network Pruning with Uncertainty Regularization for Lifelong
  Sentiment Classification
Iterative Network Pruning with Uncertainty Regularization for Lifelong Sentiment Classification
Binzong Geng
Min Yang
Fajie Yuan
Shupeng Wang
Xiang Ao
Ruifeng Xu
CLL
77
19
0
21 Jun 2021
Always Be Dreaming: A New Approach for Data-Free Class-Incremental
  Learning
Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning
James Smith
Yen-Chang Hsu
John C. Balloch
Yilin Shen
Hongxia Jin
Z. Kira
CLL
106
169
0
17 Jun 2021
SPeCiaL: Self-Supervised Pretraining for Continual Learning
SPeCiaL: Self-Supervised Pretraining for Continual Learning
Lucas Caccia
Joelle Pineau
CLLSSL
76
19
0
16 Jun 2021
Knowledge-Adaptation Priors
Knowledge-Adaptation Priors
Mohammad Emtiyaz Khan
S. Swaroop
BDLVLMODL
58
27
0
16 Jun 2021
FastICARL: Fast Incremental Classifier and Representation Learning with
  Efficient Budget Allocation in Audio Sensing Applications
FastICARL: Fast Incremental Classifier and Representation Learning with Efficient Budget Allocation in Audio Sensing Applications
Young D. Kwon
Jagmohan Chauhan
Cecilia Mascolo
HAI
66
16
0
14 Jun 2021
Knowledge Consolidation based Class Incremental Online Learning with
  Limited Data
Knowledge Consolidation based Class Incremental Online Learning with Limited Data
M. A. Karim
Vinay Kumar Verma
Pravendra Singh
Vinay P. Namboodiri
Piyush Rai
CLL
19
0
0
12 Jun 2021
Learngene: From Open-World to Your Learning Task
Learngene: From Open-World to Your Learning Task
Qiufeng Wang
Xin Geng
Shuxia Lin
Shiyu Xia
Lei Qi
Ning Xu
90
23
0
12 Jun 2021
Invariant Information Bottleneck for Domain Generalization
Invariant Information Bottleneck for Domain Generalization
Yue Liu
Yifei Shen
Yezhen Wang
Wenzhen Zhu
Colorado Reed
Jun Zhang
Dongsheng Li
Kurt Keutzer
Han Zhao
OOD
97
116
0
11 Jun 2021
Optimizing Reusable Knowledge for Continual Learning via Metalearning
Optimizing Reusable Knowledge for Continual Learning via Metalearning
J. Hurtado
Alain Raymond-Sáez
Alvaro Soto
CLL
87
38
0
09 Jun 2021
Memory-Based Optimization Methods for Model-Agnostic Meta-Learning and
  Personalized Federated Learning
Memory-Based Optimization Methods for Model-Agnostic Meta-Learning and Personalized Federated Learning
Bokun Wang
Zhuoning Yuan
Yiming Ying
Tianbao Yang
FedML
100
11
0
09 Jun 2021
Continual Active Learning for Efficient Adaptation of Machine Learning
  Models to Changing Image Acquisition
Continual Active Learning for Efficient Adaptation of Machine Learning Models to Changing Image Acquisition
Matthias Perkonigg
J. Hofmanninger
Georg Langs
MedImOOD
62
16
0
07 Jun 2021
Knowing when we do not know: Bayesian continual learning for
  sensing-based analysis tasks
Knowing when we do not know: Bayesian continual learning for sensing-based analysis tasks
S. S. Rodríguez
Cecilia Mascolo
Young D. Kwon
CLL
52
12
0
06 Jun 2021
Model Zoo: A Growing "Brain" That Learns Continually
Model Zoo: A Growing "Brain" That Learns Continually
Rahul Ramesh
Pratik Chaudhari
CLLFedML
111
66
0
06 Jun 2021
Same State, Different Task: Continual Reinforcement Learning without
  Interference
Same State, Different Task: Continual Reinforcement Learning without Interference
Samuel Kessler
Jack Parker-Holder
Philip J. Ball
S. Zohren
Stephen J. Roberts
CLLOffRL
84
47
0
05 Jun 2021
Lifelong Learning of Hate Speech Classification on Social Media
Lifelong Learning of Hate Speech Classification on Social Media
Jing Qian
Hong Wang
Mai Elsherief
Xifeng Yan
CLL
55
24
0
05 Jun 2021
A Procedural World Generation Framework for Systematic Evaluation of
  Continual Learning
A Procedural World Generation Framework for Systematic Evaluation of Continual Learning
Timm Hess
Martin Mundt
Iuliia Pliushch
Visvanathan Ramesh
68
7
0
04 Jun 2021
Online Coreset Selection for Rehearsal-based Continual Learning
Online Coreset Selection for Rehearsal-based Continual Learning
Jaehong Yoon
Divyam Madaan
Eunho Yang
Sung Ju Hwang
CLL
103
145
0
02 Jun 2021
Efficient and robust multi-task learning in the brain with modular
  latent primitives
Efficient and robust multi-task learning in the brain with modular latent primitives
Christian David Márton
Léo Gagnon
Guillaume Lajoie
Kanaka Rajan
68
6
0
28 May 2021
Smaller Is Better: An Analysis of Instance Quantity/Quality Trade-off in
  Rehearsal-based Continual Learning
Smaller Is Better: An Analysis of Instance Quantity/Quality Trade-off in Rehearsal-based Continual Learning
Francesco Pelosin
A. Torsello
30
1
0
28 May 2021
Encoders and Ensembles for Task-Free Continual Learning
Encoders and Ensembles for Task-Free Continual Learning
Murray Shanahan
Christos Kaplanis
Jovana Mitrović
CLL
105
25
0
27 May 2021
Generalized Few-Shot Object Detection without Forgetting
Generalized Few-Shot Object Detection without Forgetting
Zhibo Fan
Yuchen Ma
Zeming Li
Jian Sun
VLMObjD
131
170
0
20 May 2021
ACAE-REMIND for Online Continual Learning with Compressed Feature Replay
ACAE-REMIND for Online Continual Learning with Compressed Feature Replay
Kai Wang
Luis Herranz
Joost van de Weijer
CLL
117
14
0
18 May 2021
Shared and Private VAEs with Generative Replay for Continual Learning
Shared and Private VAEs with Generative Replay for Continual Learning
Subhankar Ghosh
CLLBDL
31
0
0
17 May 2021
Layerwise Optimization by Gradient Decomposition for Continual Learning
Layerwise Optimization by Gradient Decomposition for Continual Learning
Shixiang Tang
Dapeng Chen
Jinguo Zhu
Shijie Yu
Wanli Ouyang
CLL
77
65
0
17 May 2021
TAG: Task-based Accumulated Gradients for Lifelong learning
TAG: Task-based Accumulated Gradients for Lifelong learning
Pranshu Malviya
B. Ravindran
Sarath Chandar
CLL
134
5
0
11 May 2021
Continual Learning via Bit-Level Information Preserving
Continual Learning via Bit-Level Information Preserving
Yujun Shi
Li-xin Yuan
Yunpeng Chen
Jiashi Feng
CLL
91
43
0
10 May 2021
Regression Bugs Are In Your Model! Measuring, Reducing and Analyzing
  Regressions In NLP Model Updates
Regression Bugs Are In Your Model! Measuring, Reducing and Analyzing Regressions In NLP Model Updates
Yuqing Xie
Yi-An Lai
Yuanjun Xiong
Yi Zhang
Stefano Soatto
UQCV
59
16
0
07 May 2021
Structured Ensembles: an Approach to Reduce the Memory Footprint of
  Ensemble Methods
Structured Ensembles: an Approach to Reduce the Memory Footprint of Ensemble Methods
Jary Pomponi
Simone Scardapane
A. Uncini
UQCV
58
7
0
06 May 2021
Schematic Memory Persistence and Transience for Efficient and Robust
  Continual Learning
Schematic Memory Persistence and Transience for Efficient and Robust Continual Learning
Yuyang Gao
Giorgio Ascoli
Liang Zhao
61
5
0
05 May 2021
Continual Learning on the Edge with TensorFlow Lite
Continual Learning on the Edge with TensorFlow Lite
Giorgos Demosthenous
Vassilis Vassiliades
CLL
80
21
0
05 May 2021
Self-Improving Semantic Perception for Indoor Localisation
Self-Improving Semantic Perception for Indoor Localisation
Hermann Blum
Francesco Milano
René Zurbrugg
Roland Siegward
Cesar Cadena
Abel Gawel
102
8
0
04 May 2021
Learning to Continuously Optimize Wireless Resource in a Dynamic
  Environment: A Bilevel Optimization Perspective
Learning to Continuously Optimize Wireless Resource in a Dynamic Environment: A Bilevel Optimization Perspective
Haoran Sun
Wenqiang Pu
Xiao Fu
Tsung-Hui Chang
Mingyi Hong
80
30
0
03 May 2021
Towards Fair Federated Learning with Zero-Shot Data Augmentation
Towards Fair Federated Learning with Zero-Shot Data Augmentation
Weituo Hao
Mostafa El-Khamy
Jungwon Lee
Jianyi Zhang
Kevin J. Liang
Changyou Chen
Lawrence Carin
FedML
75
91
0
27 Apr 2021
Dynamic VAEs with Generative Replay for Continual Zero-shot Learning
Dynamic VAEs with Generative Replay for Continual Zero-shot Learning
Subhankar Ghosh
BDLCLLVLM
82
7
0
26 Apr 2021
How Well Does Self-Supervised Pre-Training Perform with Streaming Data?
How Well Does Self-Supervised Pre-Training Perform with Streaming Data?
Dapeng Hu
Shipeng Yan
Qizhengqiu Lu
Lanqing Hong
Hailin Hu
Yifan Zhang
Zhenguo Li
Xinchao Wang
Jiashi Feng
123
29
0
25 Apr 2021
Piggyback GAN: Efficient Lifelong Learning for Image Conditioned
  Generation
Piggyback GAN: Efficient Lifelong Learning for Image Conditioned Generation
Mengyao Zhai
Lei Chen
Jiawei He
Megha Nawhal
Frederick Tung
Greg Mori
CLL
64
29
0
24 Apr 2021
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