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Efficient Lifelong Learning with A-GEM

Efficient Lifelong Learning with A-GEM

2 December 2018
Arslan Chaudhry
MarcÁurelio Ranzato
Marcus Rohrbach
Mohamed Elhoseiny
    CLL
ArXivPDFHTML

Papers citing "Efficient Lifelong Learning with A-GEM"

50 / 875 papers shown
Title
DualMix: Unleashing the Potential of Data Augmentation for Online
  Class-Incremental Learning
DualMix: Unleashing the Potential of Data Augmentation for Online Class-Incremental Learning
Yunfeng Fan
Wenchao Xu
Yining Qi
Jiaqi Zhu
Junxiao Wang
Song Guo
CLL
19
0
0
14 Mar 2023
ICICLE: Interpretable Class Incremental Continual Learning
ICICLE: Interpretable Class Incremental Continual Learning
Dawid Rymarczyk
Joost van de Weijer
Bartosz Zieliñski
Bartlomiej Twardowski
CLL
34
28
0
14 Mar 2023
Lifelong Continual Learning for Anomaly Detection: New Challenges,
  Perspectives, and Insights
Lifelong Continual Learning for Anomaly Detection: New Challenges, Perspectives, and Insights
Kamil Faber
Roberto Corizzo
B. Sniezynski
Nathalie Japkowicz
42
9
0
14 Mar 2023
Efficient Self-supervised Continual Learning with Progressive
  Task-correlated Layer Freezing
Efficient Self-supervised Continual Learning with Progressive Task-correlated Layer Freezing
Li Yang
Sen Lin
Fan Zhang
Junshan Zhang
Deliang Fan
CLL
22
6
0
13 Mar 2023
Revisiting Class-Incremental Learning with Pre-Trained Models:
  Generalizability and Adaptivity are All You Need
Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need
Da-Wei Zhou
Han-Jia Ye
De-Chuan Zhan
Ziwei Liu
CLL
38
101
0
13 Mar 2023
TARGET: Federated Class-Continual Learning via Exemplar-Free
  Distillation
TARGET: Federated Class-Continual Learning via Exemplar-Free Distillation
Jie M. Zhang
Chen Chen
Weiming Zhuang
Lingjuan Lv
CLL
FedML
33
47
0
13 Mar 2023
Your representations are in the network: composable and parallel
  adaptation for large scale models
Your representations are in the network: composable and parallel adaptation for large scale models
Yonatan Dukler
Alessandro Achille
Hao Yang
Varsha Vivek
L. Zancato
Benjamin Bowman
Avinash Ravichandran
Charless C. Fowlkes
A. Swaminathan
Stefano Soatto
33
3
0
07 Mar 2023
Centroid Distance Distillation for Effective Rehearsal in Continual
  Learning
Centroid Distance Distillation for Effective Rehearsal in Continual Learning
Daofeng Liu
Fan Lyu
Linyan Li
Zhenping Xia
Fuyuan Hu
27
4
0
06 Mar 2023
Improving Representational Continuity via Continued Pretraining
Improving Representational Continuity via Continued Pretraining
Michael Sun
Ananya Kumar
Divyam Madaan
Percy Liang
CLL
19
2
0
26 Feb 2023
New Insights for the Stability-Plasticity Dilemma in Online Continual
  Learning
New Insights for the Stability-Plasticity Dilemma in Online Continual Learning
Dahuin Jung
Dongjin Lee
Sunwon Hong
Hyemi Jang
Ho Bae
Sungroh Yoon
CLL
34
14
0
17 Feb 2023
New Insights on Relieving Task-Recency Bias for Online Class Incremental
  Learning
New Insights on Relieving Task-Recency Bias for Online Class Incremental Learning
Guoqiang Liang
Zhaojie Chen
Zhaoqiang Chen
Shiyu Ji
Yanning Zhang
CLL
35
11
0
16 Feb 2023
Theory on Forgetting and Generalization of Continual Learning
Theory on Forgetting and Generalization of Continual Learning
Sen Lin
Peizhong Ju
Yitao Liang
Ness B. Shroff
CLL
42
40
0
12 Feb 2023
Continual Learning with Scaled Gradient Projection
Continual Learning with Scaled Gradient Projection
Gobinda Saha
Kaushik Roy
CLL
19
27
0
02 Feb 2023
Real-Time Evaluation in Online Continual Learning: A New Hope
Real-Time Evaluation in Online Continual Learning: A New Hope
Yasir Ghunaim
Adel Bibi
Kumail Alhamoud
Motasem Alfarra
Hasan Hammoud
Ameya Prabhu
Philip Torr
Guohao Li
CLL
29
39
0
02 Feb 2023
Online Continual Learning via the Knowledge Invariant and Spread-out
  Properties
Online Continual Learning via the Knowledge Invariant and Spread-out Properties
Ya-nan Han
Jian-wei Liu
CLL
40
7
0
02 Feb 2023
Algorithm Design for Online Meta-Learning with Task Boundary Detection
Algorithm Design for Online Meta-Learning with Task Boundary Detection
Daouda Sow
Sen Lin
Yitao Liang
Junshan Zhang
OOD
48
1
0
02 Feb 2023
Continual Segment: Towards a Single, Unified and Accessible Continual
  Segmentation Model of 143 Whole-body Organs in CT Scans
Continual Segment: Towards a Single, Unified and Accessible Continual Segmentation Model of 143 Whole-body Organs in CT Scans
Zhanghexuan Ji
Dazhou Guo
Puyang Wang
Ke Yan
Le Lu
...
Qifeng Wang
J. Ge
Mingchen Gao
X. Ye
D. Jin
OOD
27
19
0
01 Feb 2023
A Comprehensive Survey of Continual Learning: Theory, Method and
  Application
A Comprehensive Survey of Continual Learning: Theory, Method and Application
Liyuan Wang
Xingxing Zhang
Hang Su
Jun Zhu
KELM
CLL
63
611
0
31 Jan 2023
Continual Learning for Predictive Maintenance: Overview and Challenges
Continual Learning for Predictive Maintenance: Overview and Challenges
J. Hurtado
Dario Salvati
Rudy Semola
Mattia Bosio
Vincenzo Lomonaco
34
32
0
29 Jan 2023
Progressive Prompts: Continual Learning for Language Models
Progressive Prompts: Continual Learning for Language Models
Anastasia Razdaibiedina
Yuning Mao
Rui Hou
Madian Khabsa
M. Lewis
Amjad Almahairi
VLM
KELM
CLL
29
127
0
29 Jan 2023
Restricted Orthogonal Gradient Projection for Continual Learning
Restricted Orthogonal Gradient Projection for Continual Learning
Zeyuan Yang
Zonghan Yang
Peng Li
Yang Liu
CLL
34
4
0
28 Jan 2023
Class-Incremental Learning with Repetition
Class-Incremental Learning with Repetition
Hamed Hemati
Andrea Cossu
Antonio Carta
J. Hurtado
Lorenzo Pellegrini
D. Bacciu
Vincenzo Lomonaco
Damian Borth
49
10
0
26 Jan 2023
Uncertainty-Aware Distillation for Semi-Supervised Few-Shot
  Class-Incremental Learning
Uncertainty-Aware Distillation for Semi-Supervised Few-Shot Class-Incremental Learning
Yawen Cui
Wanxia Deng
Haoyu Chen
Li Liu
CLL
24
24
0
24 Jan 2023
RMM: Reinforced Memory Management for Class-Incremental Learning
RMM: Reinforced Memory Management for Class-Incremental Learning
Yaoyao Liu
Bernt Schiele
Qianru Sun
CLL
37
93
0
14 Jan 2023
Online Class-Incremental Learning For Real-World Food Image
  Classification
Online Class-Incremental Learning For Real-World Food Image Classification
S. Raghavan
Jiangpeng He
F. Zhu
CLL
68
14
0
12 Jan 2023
Dynamically Modular and Sparse General Continual Learning
Dynamically Modular and Sparse General Continual Learning
Arnav Varma
Elahe Arani
Bahram Zonooz
18
1
0
02 Jan 2023
Self-Activating Neural Ensembles for Continual Reinforcement Learning
Self-Activating Neural Ensembles for Continual Reinforcement Learning
Sam Powers
Eliot Xing
Abhinav Gupta
KELM
CLL
32
5
0
31 Dec 2022
A Unified Object Counting Network with Object Occupation Prior
A Unified Object Counting Network with Object Occupation Prior
Shengqin Jiang
Qing Wang
Fengna Cheng
Yuankai Qi
Qingshan Liu
40
7
0
29 Dec 2022
Saliency-Augmented Memory Completion for Continual Learning
Saliency-Augmented Memory Completion for Continual Learning
Guangji Bai
Chen Ling
Yuyang Gao
Liang Zhao
CLL
45
4
0
26 Dec 2022
Re-basin via implicit Sinkhorn differentiation
Re-basin via implicit Sinkhorn differentiation
F. Guerrero-Peña
H. R. Medeiros
Thomas Dubail
Masih Aminbeidokhti
Eric Granger
M. Pedersoli
MoMe
26
44
0
22 Dec 2022
Lifelong Reinforcement Learning with Modulating Masks
Lifelong Reinforcement Learning with Modulating Masks
Eseoghene Ben-Iwhiwhu
Saptarshi Nath
Praveen K. Pilly
Soheil Kolouri
Andrea Soltoggio
CLL
OffRL
37
20
0
21 Dec 2022
DSI++: Updating Transformer Memory with New Documents
DSI++: Updating Transformer Memory with New Documents
Sanket Vaibhav Mehta
Jai Gupta
Yi Tay
Mostafa Dehghani
Vinh Q. Tran
J. Rao
Marc Najork
Emma Strubell
Donald Metzler
CLL
34
39
0
19 Dec 2022
Task-Adaptive Saliency Guidance for Exemplar-free Class Incremental
  Learning
Task-Adaptive Saliency Guidance for Exemplar-free Class Incremental Learning
Xialei Liu
Jiang-Tian Zhai
Andrew D. Bagdanov
Ke Li
Mingg-Ming Cheng
CLL
33
4
0
16 Dec 2022
3rd Continual Learning Workshop Challenge on Egocentric Category and
  Instance Level Object Understanding
3rd Continual Learning Workshop Challenge on Egocentric Category and Instance Level Object Understanding
Lorenzo Pellegrini
Chenchen Zhu
Fanyi Xiao
Zhicheng Yan
Antonio Carta
Matthias De Lange
Vincenzo Lomonaco
Roshan Sumbaly
Pau Rodríguez López
David Vazquez
CLL
27
6
0
13 Dec 2022
Instance-Conditional Timescales of Decay for Non-Stationary Learning
Instance-Conditional Timescales of Decay for Non-Stationary Learning
Nishant Jain
Pradeep Shenoy
33
3
0
12 Dec 2022
A soft nearest-neighbor framework for continual semi-supervised learning
A soft nearest-neighbor framework for continual semi-supervised learning
Zhiqi Kang
Enrico Fini
Moin Nabi
Elisa Ricci
Alahari Karteek
SSL
BDL
CLL
36
17
0
09 Dec 2022
PIVOT: Prompting for Video Continual Learning
PIVOT: Prompting for Video Continual Learning
Andrés Villa
Juan Carlos León Alcázar
Motasem Alfarra
Kumail Alhamoud
J. Hurtado
Fabian Caba Heilbron
Alvaro Soto
Guohao Li
VLM
CLL
45
45
0
09 Dec 2022
Open World DETR: Transformer based Open World Object Detection
Open World DETR: Transformer based Open World Object Detection
Na Dong
Yongqiang Zhang
Mingli Ding
G. Lee
22
10
0
06 Dec 2022
FedKNOW: Federated Continual Learning with Signature Task Knowledge
  Integration at Edge
FedKNOW: Federated Continual Learning with Signature Task Knowledge Integration at Edge
Yaxin Luopan
Rui Han
Qinglong Zhang
Chi Harold Liu
Guoren Wang
FedML
26
18
0
04 Dec 2022
Learning Label Modular Prompts for Text Classification in the Wild
Learning Label Modular Prompts for Text Classification in the Wild
Hailin Chen
Amrita Saha
Chenyu You
Steven C. H. Hoi
OOD
VLM
26
5
0
30 Nov 2022
Continual Learning with Optimal Transport based Mixture Model
Continual Learning with Optimal Transport based Mixture Model
Quyen Tran
Hoang Phan
Khoat Than
Dinh Q. Phung
Trung Le
CLL
21
1
0
30 Nov 2022
SimCS: Simulation for Domain Incremental Online Continual Segmentation
SimCS: Simulation for Domain Incremental Online Continual Segmentation
Motasem Alfarra
Zhipeng Cai
Adel Bibi
Guohao Li
Matthias Müller
CLL
27
4
0
29 Nov 2022
Learning to Learn: How to Continuously Teach Humans and Machines
Learning to Learn: How to Continuously Teach Humans and Machines
Parantak Singh
You Li
Ankur Sikarwar
Weixian Lei
Daniel Gao
Morgan B. Talbot
Ying Sun
Mike Zheng Shou
Gabriel Kreiman
Mengmi Zhang
CLL
18
6
0
28 Nov 2022
Progressive Learning without Forgetting
Progressive Learning without Forgetting
Tao Feng
Hangjie Yuan
Mang Wang
Ziyuan Huang
Ang Bian
Jianzhou Zhang
CLL
KELM
44
4
0
28 Nov 2022
Neural Architecture for Online Ensemble Continual Learning
Neural Architecture for Online Ensemble Continual Learning
Mateusz Wójcik
Witold Ko'sciukiewicz
Tomasz Kajdanowicz
Adam Gonczarek
CLL
29
1
0
27 Nov 2022
Multi-Label Continual Learning using Augmented Graph Convolutional
  Network
Multi-Label Continual Learning using Augmented Graph Convolutional Network
Kaile Du
Fan Lyu
Linyan Li
Fuyuan Hu
Wei Feng
Fenglei Xu
Xuefeng Xi
Hanjing Cheng
CLL
35
13
0
27 Nov 2022
Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Time
Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Time
Huaxiu Yao
Caroline Choi
Bochuan Cao
Yoonho Lee
Pang Wei Koh
Chelsea Finn
OOD
27
75
0
25 Nov 2022
CoMFormer: Continual Learning in Semantic and Panoptic Segmentation
CoMFormer: Continual Learning in Semantic and Panoptic Segmentation
Fabio Cermelli
Matthieu Cord
Arthur Douillard
CLL
VLM
32
20
0
25 Nov 2022
Neural Weight Search for Scalable Task Incremental Learning
Neural Weight Search for Scalable Task Incremental Learning
Jian Jiang
Oya Celiktutan
CLL
27
7
0
24 Nov 2022
CODA-Prompt: COntinual Decomposed Attention-based Prompting for
  Rehearsal-Free Continual Learning
CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning
James Smith
Leonid Karlinsky
V. Gutta
Paola Cascante-Bonilla
Donghyun Kim
Assaf Arbelle
Yikang Shen
Rogerio Feris
Z. Kira
CLL
VPVLM
VLM
43
263
0
23 Nov 2022
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