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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 / 696 papers shown
Title
Adaptive Cascading Network for Continual Test-Time Adaptation
Adaptive Cascading Network for Continual Test-Time Adaptation
Kien X. Nguyen
Fengchun Qiao
Xi Peng
TTA
CLL
VLM
35
1
0
17 Jul 2024
CroMo-Mixup: Augmenting Cross-Model Representations for Continual
  Self-Supervised Learning
CroMo-Mixup: Augmenting Cross-Model Representations for Continual Self-Supervised Learning
Erum Mushtaq
D. Yaldiz
Yavuz Faruk Bakman
Jie Ding
Chenyang Tao
Dimitrios Dimitriadis
A. Avestimehr
CLL
42
1
0
16 Jul 2024
SwitchCIT: Switching for Continual Instruction Tuning of Large Language
  Models
SwitchCIT: Switching for Continual Instruction Tuning of Large Language Models
Xinbo Wu
Max Hartman
Vidhata Arjun Jayaraman
L. Varshney
CLL
LRM
34
1
0
16 Jul 2024
Seq-to-Final: A Benchmark for Tuning from Sequential Distributions to a
  Final Time Point
Seq-to-Final: A Benchmark for Tuning from Sequential Distributions to a Final Time Point
Christina X. Ji
Ahmed M. Alaa
David Sontag
OOD
55
0
0
12 Jul 2024
Human-like Episodic Memory for Infinite Context LLMs
Human-like Episodic Memory for Infinite Context LLMs
Z. Fountas
Martin A Benfeghoul
Adnan Oomerjee
Fenia Christopoulou
Gerasimos Lampouras
Haitham Bou-Ammar
Jun Wang
31
18
0
12 Jul 2024
iNeMo: Incremental Neural Mesh Models for Robust Class-Incremental
  Learning
iNeMo: Incremental Neural Mesh Models for Robust Class-Incremental Learning
Tom Fischer
Yaoyao Liu
Artur Jesslen
Noor Ahmed
Prakhar Kaushik
Angtian Wang
Alan L. Yuille
Adam Kortylewski
Eddy Ilg
CLL
AI4CE
40
1
0
12 Jul 2024
Exemplar-free Continual Representation Learning via Learnable Drift
  Compensation
Exemplar-free Continual Representation Learning via Learnable Drift Compensation
Alex Gomez-Villa
Dipam Goswami
Kai Wang
Andrew D. Bagdanov
Bartlomiej Twardowski
Joost van de Weijer
CLL
SSL
36
9
0
11 Jul 2024
Towards stable training of parallel continual learning
Towards stable training of parallel continual learning
Li Yuepan
Fan Lyu
Yuyang Li
Wei Feng
Guangcan Liu
Fanhua Shang
53
0
0
11 Jul 2024
Lifelong Histopathology Whole Slide Image Retrieval via Distance
  Consistency Rehearsal
Lifelong Histopathology Whole Slide Image Retrieval via Distance Consistency Rehearsal
Xinyu Zhu
Zhiguo Jiang
Kun-Hsuan Wu
Jun Shi
Yushan Zheng
CLL
37
4
0
11 Jul 2024
How to Leverage Predictive Uncertainty Estimates for Reducing
  Catastrophic Forgetting in Online Continual Learning
How to Leverage Predictive Uncertainty Estimates for Reducing Catastrophic Forgetting in Online Continual Learning
Giuseppe Serra
Ben Werner
Florian Buettner
45
2
0
10 Jul 2024
CrowdTransfer: Enabling Crowd Knowledge Transfer in AIoT Community
CrowdTransfer: Enabling Crowd Knowledge Transfer in AIoT Community
Yan Liu
Bin Guo
Nuo Li
Yasan Ding
Zhouyangzi Zhang
Zhiwen Yu
50
1
0
09 Jul 2024
Mamba-FSCIL: Dynamic Adaptation with Selective State Space Model for
  Few-Shot Class-Incremental Learning
Mamba-FSCIL: Dynamic Adaptation with Selective State Space Model for Few-Shot Class-Incremental Learning
Xiaojie Li
Yibo Yang
Jianlong Wu
Guohao Li
Liqiang Nie
Min Zhang
Mamba
41
5
0
08 Jul 2024
Embracing Massive Medical Data
Embracing Massive Medical Data
Yu-Cheng Chou
Zongwei Zhou
Alan Yuille
CLL
OOD
35
4
0
05 Jul 2024
Continual Learning Optimizations for Auto-regressive Decoder of
  Multilingual ASR systems
Continual Learning Optimizations for Auto-regressive Decoder of Multilingual ASR systems
Chin Yuen Kwok
J. Yip
Eng Siong Chng
CLL
46
1
0
04 Jul 2024
TEAL: New Selection Strategy for Small Buffers in Experience Replay
  Class Incremental Learning
TEAL: New Selection Strategy for Small Buffers in Experience Replay Class Incremental Learning
Shahar Shaul-Ariel
D. Weinshall
VLM
37
0
0
30 Jun 2024
Characterizing Continual Learning Scenarios and Strategies for Audio
  Analysis
Characterizing Continual Learning Scenarios and Strategies for Audio Analysis
Ruchi Bhatt
Pratibha Kumari
Dwarikanath Mahapatra
Abdulmotaleb El Saddik
Mukesh Saini
CLL
45
3
0
29 Jun 2024
The impact of model size on catastrophic forgetting in Online Continual
  Learning
The impact of model size on catastrophic forgetting in Online Continual Learning
Eunhae Lee
CLL
41
0
0
28 Jun 2024
MoE-CT: A Novel Approach For Large Language Models Training With
  Resistance To Catastrophic Forgetting
MoE-CT: A Novel Approach For Large Language Models Training With Resistance To Catastrophic Forgetting
Tianhao Li
Shangjie Li
Binbin Xie
Deyi Xiong
Baosong Yang
CLL
50
3
0
25 Jun 2024
Forget but Recall: Incremental Latent Rectification in Continual
  Learning
Forget but Recall: Incremental Latent Rectification in Continual Learning
Nghia D. Nguyen
Hieu Trung Nguyen
Ang Li
H. Pham
Viet Anh Nguyen
Khoa D. Doan
CLL
53
0
0
25 Jun 2024
PromptDSI: Prompt-based Rehearsal-free Instance-wise Incremental
  Learning for Document Retrieval
PromptDSI: Prompt-based Rehearsal-free Instance-wise Incremental Learning for Document Retrieval
Tuan-Luc Huynh
Thuy-Trang Vu
Weiqing Wang
Yinwei Wei
Trung Le
D. Gašević
Yuan-Fang Li
Thanh-Toan Do
VLM
CLL
43
0
0
18 Jun 2024
Forgetting Order of Continual Learning: Examples That are Learned First
  are Forgotten Last
Forgetting Order of Continual Learning: Examples That are Learned First are Forgotten Last
Guy Hacohen
Tinne Tuytelaars
42
2
0
14 Jun 2024
Reflecting on the State of Rehearsal-free Continual Learning with
  Pretrained Models
Reflecting on the State of Rehearsal-free Continual Learning with Pretrained Models
Lukas Thede
Karsten Roth
Olivier J. Hénaff
Matthias Bethge
Zeynep Akata
CLL
47
5
0
13 Jun 2024
Enhancing Domain Adaptation through Prompt Gradient Alignment
Enhancing Domain Adaptation through Prompt Gradient Alignment
Hoang Phan
Lam C. Tran
Quyen Tran
Trung Le
52
0
0
13 Jun 2024
A Parameter-efficient Language Extension Framework for Multilingual ASR
A Parameter-efficient Language Extension Framework for Multilingual ASR
Wei Liu
Jingyong Hou
Dong Yang
Muyong Cao
Tan Lee
CLL
70
2
0
10 Jun 2024
A Statistical Theory of Regularization-Based Continual Learning
A Statistical Theory of Regularization-Based Continual Learning
Xuyang Zhao
Huiyuan Wang
Weiran Huang
Wei Lin
37
13
0
10 Jun 2024
CCSI: Continual Class-Specific Impression for Data-free Class
  Incremental Learning
CCSI: Continual Class-Specific Impression for Data-free Class Incremental Learning
Sana Ayromlou
Teresa S. M. Tsang
Purang Abolmaesumi
Xiaoxiao Li
CLL
38
2
0
09 Jun 2024
Revisiting Catastrophic Forgetting in Large Language Model Tuning
Revisiting Catastrophic Forgetting in Large Language Model Tuning
Hongyu Li
Liang Ding
Meng Fang
Dacheng Tao
CLL
KELM
55
16
0
07 Jun 2024
LoRA-Whisper: Parameter-Efficient and Extensible Multilingual ASR
LoRA-Whisper: Parameter-Efficient and Extensible Multilingual ASR
Zheshu Song
Jianheng Zhuo
Yifan Yang
Ziyang Ma
Shixiong Zhang
Xie Chen
36
9
0
07 Jun 2024
CLoG: Benchmarking Continual Learning of Image Generation Models
CLoG: Benchmarking Continual Learning of Image Generation Models
Haotian Zhang
Junting Zhou
Haowei Lin
Hang Ye
Jianhua Zhu
Zihao Wang
Liangcai Gao
Yizhou Wang
Yitao Liang
DiffM
VLM
37
1
0
07 Jun 2024
Parameterizing Federated Continual Learning for Reproducible Research
Parameterizing Federated Continual Learning for Reproducible Research
Bart Cox
Jeroen Galjaard
Aditya Shankar
Jérémie Decouchant
Lydia Y. Chen
FedML
56
0
0
04 Jun 2024
Conditional Language Learning with Context
Conditional Language Learning with Context
X. Zhang
Miao Li
Ji Wu
57
3
0
04 Jun 2024
Provable Contrastive Continual Learning
Provable Contrastive Continual Learning
Yichen Wen
Zhiquan Tan
Kaipeng Zheng
Chuanlong Xie
Weiran Huang
CLL
34
4
0
29 May 2024
Lifelong Learning and Selective Forgetting via Contrastive Strategy
Lifelong Learning and Selective Forgetting via Contrastive Strategy
Li Shan
Wenzhang Zhou
Wei Li
Xingyu Ding
CLL
31
2
0
28 May 2024
Online Analytic Exemplar-Free Continual Learning with Large Models for
  Imbalanced Autonomous Driving Task
Online Analytic Exemplar-Free Continual Learning with Large Models for Imbalanced Autonomous Driving Task
Huiping Zhuang
Di Fang
Kai Tong
Yuchen Liu
Ziqian Zeng
Xu Zhou
Cen Chen
CLL
36
1
0
28 May 2024
Improving Data-aware and Parameter-aware Robustness for Continual
  Learning
Improving Data-aware and Parameter-aware Robustness for Continual Learning
Hanxi Xiao
Fan Lyu
CLL
35
0
0
27 May 2024
Towards Cross-modal Backward-compatible Representation Learning for
  Vision-Language Models
Towards Cross-modal Backward-compatible Representation Learning for Vision-Language Models
Young Kyun Jang
Ser-nam Lim
VLM
37
1
0
23 May 2024
U-TELL: Unsupervised Task Expert Lifelong Learning
U-TELL: Unsupervised Task Expert Lifelong Learning
Indu Solomon
Aye Phyu Phyu Aung
Uttam Kumar
Senthilnath Jayavelu
CLL
34
1
0
23 May 2024
Overcoming Catastrophic Forgetting by Exemplar Selection in
  Task-oriented Dialogue System
Overcoming Catastrophic Forgetting by Exemplar Selection in Task-oriented Dialogue System
Chen Chen
Ruizhe Li
Yuchen Hu
Yuanyuan Chen
Chengwei Qin
Qiang Zhang
CLL
41
2
0
16 May 2024
MGSER-SAM: Memory-Guided Soft Experience Replay with Sharpness-Aware
  Optimization for Enhanced Continual Learning
MGSER-SAM: Memory-Guided Soft Experience Replay with Sharpness-Aware Optimization for Enhanced Continual Learning
Xingyu Li
Bo Tang
VLM
CLL
40
0
0
15 May 2024
Overcoming Domain Drift in Online Continual Learning
Overcoming Domain Drift in Online Continual Learning
Fan Lyu
Daofeng Liu
Linglan Zhao
Zhang Zhang
Fanhua Shang
Fuyuan Hu
Wei Feng
Liang Wang
CLL
40
1
0
15 May 2024
Liquid Ensemble Selection for Continual Learning
Liquid Ensemble Selection for Continual Learning
Carter Blair
Ben Armstrong
Kate Larson
FedML
OOD
CLL
16
0
0
12 May 2024
Cross-Domain Continual Learning via CLAMP
Cross-Domain Continual Learning via CLAMP
Weiwei Weng
Mahardhika Pratama
Jie Zhang
Chen Chen
E. Yapp
Savitha Ramasamy
37
1
0
12 May 2024
A Methodology-Oriented Study of Catastrophic Forgetting in Incremental
  Deep Neural Networks
A Methodology-Oriented Study of Catastrophic Forgetting in Incremental Deep Neural Networks
Ashutosh Kumar
Sonali Agarwal
D. J. Hemanth
43
0
0
11 May 2024
Non-stationary Domain Generalization: Theory and Algorithm
Non-stationary Domain Generalization: Theory and Algorithm
Thai-Hoang Pham
Xueru Zhang
Ping Zhang
OOD
51
1
0
10 May 2024
Few-Shot Class Incremental Learning via Robust Transformer Approach
Few-Shot Class Incremental Learning via Robust Transformer Approach
Naeem Paeedeh
Mahardhika Pratama
S. Wibirama
Wolfgang Mayer
Zehong Cao
Ryszard Kowalczyk
CLL
32
2
0
08 May 2024
Integrating Present and Past in Unsupervised Continual Learning
Integrating Present and Past in Unsupervised Continual Learning
Yipeng Zhang
Laurent Charlin
R. Zemel
Mengye Ren
CLL
43
3
0
29 Apr 2024
Beyond Imitation: A Life-long Policy Learning Framework for Path
  Tracking Control of Autonomous Driving
Beyond Imitation: A Life-long Policy Learning Framework for Path Tracking Control of Autonomous Driving
Cheng Gong
Chao Lu
Zirui Li
Zhe Liu
Jianwei Gong
Xuemei Chen
38
2
0
26 Apr 2024
Continual Learning of Large Language Models: A Comprehensive Survey
Continual Learning of Large Language Models: A Comprehensive Survey
Haizhou Shi
Zihao Xu
Hengyi Wang
Weiyi Qin
Wenyuan Wang
Yibin Wang
Zifeng Wang
Sayna Ebrahimi
Hao Wang
CLL
KELM
LRM
52
64
0
25 Apr 2024
Q-Tuning: Queue-based Prompt Tuning for Lifelong Few-shot Language
  Learning
Q-Tuning: Queue-based Prompt Tuning for Lifelong Few-shot Language Learning
Yanhui Guo
Shaoyuan Xu
Jinmiao Fu
Jia-Wei Liu
Chaosheng Dong
Bryan Wang
VLM
CLL
33
5
0
22 Apr 2024
QCore: Data-Efficient, On-Device Continual Calibration for Quantized
  Models -- Extended Version
QCore: Data-Efficient, On-Device Continual Calibration for Quantized Models -- Extended Version
David Campos
Bin Yang
Tung Kieu
Miao Zhang
Chenjuan Guo
Christian S. Jensen
39
7
0
22 Apr 2024
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