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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 / 679 papers shown
Title
Lifelong Language Pretraining with Distribution-Specialized Experts
Lifelong Language Pretraining with Distribution-Specialized Experts
Wuyang Chen
Yan-Quan Zhou
Nan Du
Yanping Huang
James Laudon
Z. Chen
Claire Cu
KELM
21
48
0
20 May 2023
Rapid Adaptation in Online Continual Learning: Are We Evaluating It
  Right?
Rapid Adaptation in Online Continual Learning: Are We Evaluating It Right?
Hasan Hammoud
Ameya Prabhu
Ser-Nam Lim
Philip H. S. Torr
Adel Bibi
Bernard Ghanem
CLL
108
16
0
16 May 2023
Online Continual Learning Without the Storage Constraint
Online Continual Learning Without the Storage Constraint
Ameya Prabhu
Zhipeng Cai
P. Dokania
Philip H. S. Torr
V. Koltun
Ozan Sener
CLL
118
31
0
16 May 2023
Continual Multimodal Knowledge Graph Construction
Continual Multimodal Knowledge Graph Construction
Xiang Chen
Jintian Zhang
Xiaohan Wang
Ningyu Zhang
Tongtong Wu
Luo Si
Yongheng Wang
Huajun Chen
KELM
CLL
27
14
0
15 May 2023
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for
  Meta-Learning
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning
Jun Shu
Xiang Yuan
Deyu Meng
Zongben Xu
28
4
0
13 May 2023
Improving Continual Relation Extraction by Distinguishing Analogous
  Semantics
Improving Continual Relation Extraction by Distinguishing Analogous Semantics
Wenzheng Zhao
Yuanning Cui
Wei Hu
CLL
15
12
0
11 May 2023
Serial Contrastive Knowledge Distillation for Continual Few-shot
  Relation Extraction
Serial Contrastive Knowledge Distillation for Continual Few-shot Relation Extraction
Xin-Yue Wang
Zitao Wang
Wei Hu
CLL
BDL
23
11
0
11 May 2023
Domain Incremental Lifelong Learning in an Open World
Domain Incremental Lifelong Learning in an Open World
Yinpei Dai
Hao Lang
Yinhe Zheng
Yu Bowen
Fei Huang
Yongbin Li
CLL
25
5
0
11 May 2023
Accelerating Batch Active Learning Using Continual Learning Techniques
Accelerating Batch Active Learning Using Continual Learning Techniques
Arnav M. Das
Gantavya Bhatt
M. Bhalerao
Vianne R. Gao
Rui Yang
J. Bilmes
VLM
CLL
24
10
0
10 May 2023
Active Continual Learning: On Balancing Knowledge Retention and
  Learnability
Active Continual Learning: On Balancing Knowledge Retention and Learnability
Thuy-Trang Vu
Shahram Khadivi
Mahsa Ghorbanali
Dinh Q. Phung
Gholamreza Haffari
CLL
11
3
0
06 May 2023
DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning
DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning
Zifeng Wang
Zheng Zhan
Yifan Gong
Yucai Shao
Stratis Ioannidis
Yanzhi Wang
Jennifer Dy
CLL
52
10
0
30 Apr 2023
Gradient-based Maximally Interfered Retrieval for Domain Incremental 3D
  Object Detection
Gradient-based Maximally Interfered Retrieval for Domain Incremental 3D Object Detection
Barza Nisar
Hruday Vishal Kanna Anand
Steven L. Waslander
27
1
0
27 Apr 2023
SequeL: A Continual Learning Library in PyTorch and JAX
SequeL: A Continual Learning Library in PyTorch and JAX
Nikolaos Dimitriadis
F. Fleuret
P. Frossard
20
1
0
21 Apr 2023
A baseline on continual learning methods for video action recognition
A baseline on continual learning methods for video action recognition
Giulia Castagnolo
C. Spampinato
Francesco Rundo
Daniela Giordano
S. Palazzo
CLL
24
2
0
20 Apr 2023
Regularizing Second-Order Influences for Continual Learning
Regularizing Second-Order Influences for Continual Learning
Zhicheng Sun
Yadong Mu
G. Hua
CLL
9
22
0
20 Apr 2023
Open-World Continual Learning: Unifying Novelty Detection and Continual
  Learning
Open-World Continual Learning: Unifying Novelty Detection and Continual Learning
Gyuhak Kim
Changnan Xiao
Tatsuya Konishi
Zixuan Ke
Bin Liu
CLL
OODD
29
12
0
20 Apr 2023
Adapter Learning in Pretrained Feature Extractor for Continual Learning
  of Diseases
Adapter Learning in Pretrained Feature Extractor for Continual Learning of Diseases
Wentao Zhang
Yujun Huang
Tong Zhang
Qingsong Zou
Weishi Zheng
Ruixuan Wang
CLL
MedIm
18
11
0
18 Apr 2023
A Study of Biologically Plausible Neural Network: The Role and
  Interactions of Brain-Inspired Mechanisms in Continual Learning
A Study of Biologically Plausible Neural Network: The Role and Interactions of Brain-Inspired Mechanisms in Continual Learning
F. Sarfraz
Elahe Arani
Bahram Zonooz
27
2
0
13 Apr 2023
Continual Diffusion: Continual Customization of Text-to-Image Diffusion
  with C-LoRA
Continual Diffusion: Continual Customization of Text-to-Image Diffusion with C-LoRA
James Smith
Yen-Chang Hsu
Lingyu Zhang
Ting Hua
Z. Kira
Yilin Shen
Hongxia Jin
DiffM
131
95
0
12 Apr 2023
Few-shot Class-incremental Learning for Cross-domain Disease
  Classification
Few-shot Class-incremental Learning for Cross-domain Disease Classification
Han Yang
Weijian Huang
Jiarun Liu
Cheng Li
Shanshan Wang
CLL
29
4
0
12 Apr 2023
Task Difficulty Aware Parameter Allocation & Regularization for Lifelong
  Learning
Task Difficulty Aware Parameter Allocation & Regularization for Lifelong Learning
Wenjin Wang
Yunqing Hu
Qianglong Chen
Yin Zhang
CLL
32
13
0
11 Apr 2023
PCR: Proxy-based Contrastive Replay for Online Class-Incremental
  Continual Learning
PCR: Proxy-based Contrastive Replay for Online Class-Incremental Continual Learning
Huiwei Lin
Baoquan Zhang
Shanshan Feng
Xutao Li
Yunming Ye
CLL
19
53
0
10 Apr 2023
Does Continual Learning Equally Forget All Parameters?
Does Continual Learning Equally Forget All Parameters?
Haiyan Zhao
Tianyi Zhou
Guodong Long
Jing Jiang
Chengqi Zhang
CLL
KELM
32
13
0
09 Apr 2023
Exploring Data Geometry for Continual Learning
Exploring Data Geometry for Continual Learning
Zhi Gao
C. Xu
Feng Li
Yunde Jia
Mehrtash Harandi
Yuwei Wu
CLL
21
9
0
08 Apr 2023
Continual Detection Transformer for Incremental Object Detection
Continual Detection Transformer for Incremental Object Detection
Yaoyao Liu
Bernt Schiele
Andrea Vedaldi
Christian Rupprecht
CLL
11
52
0
06 Apr 2023
I2I: Initializing Adapters with Improvised Knowledge
I2I: Initializing Adapters with Improvised Knowledge
Tejas Srinivasan
Furong Jia
Mohammad Rostami
Jesse Thomason
CLL
26
6
0
04 Apr 2023
Learning with Fantasy: Semantic-Aware Virtual Contrastive Constraint for
  Few-Shot Class-Incremental Learning
Learning with Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning
Zeyin Song
Yifan Zhao
Yujun Shi
Peixi Peng
Liuliang Yuan
Yonghong Tian
CLL
19
58
0
02 Apr 2023
Kaizen: Practical Self-supervised Continual Learning with Continual
  Fine-tuning
Kaizen: Practical Self-supervised Continual Learning with Continual Fine-tuning
Chi Ian Tang
Lorena Qendro
Dimitris Spathis
F. Kawsar
Cecilia Mascolo
Akhil Mathur
CLL
22
10
0
30 Mar 2023
How Efficient Are Today's Continual Learning Algorithms?
How Efficient Are Today's Continual Learning Algorithms?
Md Yousuf Harun
Jhair Gallardo
Tyler L. Hayes
Christopher Kanan
16
22
0
29 Mar 2023
CoDeC: Communication-Efficient Decentralized Continual Learning
CoDeC: Communication-Efficient Decentralized Continual Learning
Sakshi Choudhary
Sai Aparna Aketi
Gobinda Saha
Kaushik Roy
CLL
45
3
0
27 Mar 2023
Forget-free Continual Learning with Soft-Winning SubNetworks
Forget-free Continual Learning with Soft-Winning SubNetworks
Haeyong Kang
Jaehong Yoon
Sultan Rizky Hikmawan Madjid
Sung Ju Hwang
Chang-Dong Yoo
CLL
31
4
0
27 Mar 2023
Prototype-Sample Relation Distillation: Towards Replay-Free Continual
  Learning
Prototype-Sample Relation Distillation: Towards Replay-Free Continual Learning
Nader Asadi
Mohammad Davar
Sudhir Mudur
Rahaf Aljundi
Eugene Belilovsky
CLL
34
35
0
26 Mar 2023
Preserving Linear Separability in Continual Learning by Backward Feature
  Projection
Preserving Linear Separability in Continual Learning by Backward Feature Projection
Qiao Gu
Dongsub Shim
Florian Shkurti
CLL
KELM
13
10
0
26 Mar 2023
Remind of the Past: Incremental Learning with Analogical Prompts
Remind of the Past: Incremental Learning with Analogical Prompts
Zhiheng Ma
Xiaopeng Hong
Beinan Liu
Yabin Wang
Pinyue Guo
Huiyun Li
CLL
26
1
0
24 Mar 2023
Adiabatic replay for continual learning
Adiabatic replay for continual learning
Alexander Krawczyk
A. Gepperth
32
2
0
23 Mar 2023
AdaCL:Adaptive Continual Learning
AdaCL:Adaptive Continual Learning
Elif Ceren Gok
Murat Onur Yildirim
Mert Kilickaya
Joaquin Vanschoren
CLL
44
1
0
23 Mar 2023
Continual Learning in the Presence of Spurious Correlation
Continual Learning in the Presence of Spurious Correlation
Donggyu Lee
Sangwon Jung
Taesup Moon
CLL
22
2
0
21 Mar 2023
Assessor-Guided Learning for Continual Environments
Assessor-Guided Learning for Continual Environments
M. A. Ma'sum
Mahardhika Pratama
E. Lughofer
Weiping Ding
W. Jatmiko
23
13
0
21 Mar 2023
Computationally Budgeted Continual Learning: What Does Matter?
Computationally Budgeted Continual Learning: What Does Matter?
Ameya Prabhu
Hasan Hammoud
P. Dokania
Philip H. S. Torr
Ser-Nam Lim
Bernard Ghanem
Adel Bibi
CLL
30
61
0
20 Mar 2023
Non-Exemplar Online Class-incremental Continual Learning via
  Dual-prototype Self-augment and Refinement
Non-Exemplar Online Class-incremental Continual Learning via Dual-prototype Self-augment and Refinement
Fushuo Huo
Wenchao Xu
Jingcai Guo
Haozhao Wang
Yunfeng Fan
Song Guo
CLL
53
16
0
20 Mar 2023
SIESTA: Efficient Online Continual Learning with Sleep
SIESTA: Efficient Online Continual Learning with Sleep
Md Yousuf Harun
Jhair Gallardo
Tyler L. Hayes
Ronald Kemker
Christopher Kanan
CLL
45
18
0
19 Mar 2023
Fixed Design Analysis of Regularization-Based Continual Learning
Fixed Design Analysis of Regularization-Based Continual Learning
Haoran Li
Jingfeng Wu
Vladimir Braverman
CLL
26
9
0
17 Mar 2023
From MNIST to ImageNet and Back: Benchmarking Continual Curriculum
  Learning
From MNIST to ImageNet and Back: Benchmarking Continual Curriculum Learning
Kamil Faber
Dominik Zurek
Marcin Pietroñ
Nathalie Japkowicz
Antonio Vergari
Roberto Corizzo
CLL
18
8
0
16 Mar 2023
Steering Prototypes with Prompt-tuning for Rehearsal-free Continual
  Learning
Steering Prototypes with Prompt-tuning for Rehearsal-free Continual Learning
Zhuowei Li
Long Zhao
Zizhao Zhang
Han Zhang
Diya Liu
Ting Liu
Dimitris N. Metaxas
CLL
VLM
32
20
0
16 Mar 2023
Is forgetting less a good inductive bias for forward transfer?
Is forgetting less a good inductive bias for forward transfer?
Jiefeng Chen
Timothy Nguyen
Dilan Görür
Arslan Chaudhry
CLL
57
14
0
14 Mar 2023
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
Haozhao Wang
Jiaqi Zhu
Junxiao Wang
Song Guo
CLL
14
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
26
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
29
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
14
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
30
99
0
13 Mar 2023
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