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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
NAPA-VQ: Neighborhood Aware Prototype Augmentation with Vector
  Quantization for Continual Learning
NAPA-VQ: Neighborhood Aware Prototype Augmentation with Vector Quantization for Continual Learning
T. Malepathirana
Damith A. Senanayake
Saman K. Halgamuge
CLL
32
12
0
18 Aug 2023
Ada-QPacknet -- adaptive pruning with bit width reduction as an
  efficient continual learning method without forgetting
Ada-QPacknet -- adaptive pruning with bit width reduction as an efficient continual learning method without forgetting
Marcin Pietroñ
Dominik Zurek
Kamil Faber
Roberto Corizzo
CLL
32
2
0
14 Aug 2023
CBA: Improving Online Continual Learning via Continual Bias Adaptor
CBA: Improving Online Continual Learning via Continual Bias Adaptor
Quanziang Wang
Renzhen Wang
Yichen Wu
Xixi Jia
Deyu Meng
CLL
35
17
0
14 Aug 2023
Cost-effective On-device Continual Learning over Memory Hierarchy with
  Miro
Cost-effective On-device Continual Learning over Memory Hierarchy with Miro
Xinyue Ma
Suyeon Jeong
Minjia Zhang
Di Wang
Jonghyun Choi
Myeongjae Jeon
CLL
16
13
0
11 Aug 2023
Improving Performance in Continual Learning Tasks using Bio-Inspired
  Architectures
Improving Performance in Continual Learning Tasks using Bio-Inspired Architectures
Sandeep Madireddy
A. Yanguas-Gil
Prasanna Balaprakash
CLL
26
1
0
08 Aug 2023
Model Provenance via Model DNA
Model Provenance via Model DNA
Xin Mu
Yu Wang
Yehong Zhang
Jiaqi Zhang
Haibo Wang
Yang Xiang
Yue Yu
SyDa
30
0
0
04 Aug 2023
Improving Replay Sample Selection and Storage for Less Forgetting in
  Continual Learning
Improving Replay Sample Selection and Storage for Less Forgetting in Continual Learning
Daniel Brignac
N. Lobo
Abhijit Mahalanobis
KELM
23
11
0
03 Aug 2023
Online Prototype Learning for Online Continual Learning
Online Prototype Learning for Online Continual Learning
Yujie Wei
Jiaxin Ye
Zhizhong Huang
Junping Zhang
Hongming Shan
CLL
OnRL
33
39
0
01 Aug 2023
Subspace Distillation for Continual Learning
Subspace Distillation for Continual Learning
Kaushik Roy
Christian Simon
Peyman Moghadam
Mehrtash Harandi
CLL
11
10
0
31 Jul 2023
Continual Learning in Predictive Autoscaling
Continual Learning in Predictive Autoscaling
Hongyan Hao
Zhixuan Chu
Shiyi Zhu
Gangwei Jiang
Yan Wang
Caigao Jiang
James Y. Zhang
Wei Jiang
Siqiao Xue
Junqing Zhou
52
4
0
29 Jul 2023
Online Continual Learning in Keyword Spotting for Low-Resource Devices
  via Pooling High-Order Temporal Statistics
Online Continual Learning in Keyword Spotting for Low-Resource Devices via Pooling High-Order Temporal Statistics
Umberto Michieli
Pablo Peso Parada
Mete Ozay
CLL
24
9
0
24 Jul 2023
CLR: Channel-wise Lightweight Reprogramming for Continual Learning
CLR: Channel-wise Lightweight Reprogramming for Continual Learning
Yunhao Ge
Yuecheng Li
Shuo Ni
Jiaping Zhao
Ming Yang
Laurent Itti
CLL
45
11
0
21 Jul 2023
Online Continual Learning for Robust Indoor Object Recognition
Online Continual Learning for Robust Indoor Object Recognition
Umberto Michieli
Mete Ozay
31
9
0
19 Jul 2023
IncDSI: Incrementally Updatable Document Retrieval
IncDSI: Incrementally Updatable Document Retrieval
Varsha Kishore
Chao-gang Wan
Justin Lovelace
Yoav Artzi
Kilian Q. Weinberger
30
9
0
19 Jul 2023
Tangent Model Composition for Ensembling and Continual Fine-tuning
Tangent Model Composition for Ensembling and Continual Fine-tuning
Tianlin Liu
Stefano Soatto
LRM
MoMe
CLL
27
16
0
16 Jul 2023
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual
  Learning
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning
Zhenyi Wang
Enneng Yang
Li Shen
Heng-Chiao Huang
KELM
MU
36
49
0
16 Jul 2023
Embodied Lifelong Learning for Task and Motion Planning
Embodied Lifelong Learning for Task and Motion Planning
Jorge Armando Mendez Mendez
L. Kaelbling
Tomás Lozano-Pérez
34
16
0
13 Jul 2023
Towards Robust and Efficient Continual Language Learning
Towards Robust and Efficient Continual Language Learning
Adam Fisch
Amal Rannen-Triki
Razvan Pascanu
J. Bornschein
Angeliki Lazaridou
E. Gribovskaya
MarcÁurelio Ranzato
CLL
32
1
0
11 Jul 2023
Domain-Agnostic Neural Architecture for Class Incremental Continual
  Learning in Document Processing Platform
Domain-Agnostic Neural Architecture for Class Incremental Continual Learning in Document Processing Platform
Mateusz Wójcik
Witold Ko'sciukiewicz
Mateusz Baran
Tomasz Kajdanowicz
Adam Gonczarek
CLL
27
1
0
11 Jul 2023
Advances and Challenges in Meta-Learning: A Technical Review
Advances and Challenges in Meta-Learning: A Technical Review
Anna Vettoruzzo
Mohamed-Rafik Bouguelia
Joaquin Vanschoren
Thorsteinn Rögnvaldsson
K. Santosh
OffRL
29
70
0
10 Jul 2023
Class-Incremental Mixture of Gaussians for Deep Continual Learning
Class-Incremental Mixture of Gaussians for Deep Continual Learning
Lukasz Korycki
Bartosz Krawczyk
CLL
BDL
23
1
0
09 Jul 2023
Exploring Continual Learning for Code Generation Models
Exploring Continual Learning for Code Generation Models
Prateek Yadav
Q. Sun
Hantian Ding
Xiaopeng Li
Dejiao Zhang
...
Parminder Bhatia
Ramesh Nallapati
M. K. Ramanathan
Joey Tianyi Zhou
Bing Xiang
CLL
37
30
0
05 Jul 2023
Learning to Modulate pre-trained Models in RL
Learning to Modulate pre-trained Models in RL
Thomas Schmied
M. Hofmarcher
Fabian Paischer
Razvan Pascanu
Sepp Hochreiter
CLL
OffRL
26
14
0
26 Jun 2023
Parameter-Level Soft-Masking for Continual Learning
Parameter-Level Soft-Masking for Continual Learning
Tatsuya Konishi
M. Kurokawa
C. Ono
Zixuan Ke
Gyuhak Kim
Bin Liu
CLL
20
34
0
26 Jun 2023
Few-Shot Continual Learning via Flat-to-Wide Approaches
Few-Shot Continual Learning via Flat-to-Wide Approaches
M. A. Ma'sum
Mahardhika Pratama
E. Lughofer
Lin Liu
Habibullah Habibullah
Ryszard Kowalczyk
VLM
CLL
29
4
0
26 Jun 2023
Can Continual Learning Improve Long-Tailed Recognition? Toward a Unified
  Framework
Can Continual Learning Improve Long-Tailed Recognition? Toward a Unified Framework
Mahdiyar Molahasani
Michael A. Greenspan
Ali Etemad
24
2
0
23 Jun 2023
Learnability and Algorithm for Continual Learning
Learnability and Algorithm for Continual Learning
Gyuhak Kim
Changnan Xiao
Tatsuya Konishi
Bin Liu
CLL
39
24
0
22 Jun 2023
Progressive Fourier Neural Representation for Sequential Video
  Compilation
Progressive Fourier Neural Representation for Sequential Video Compilation
Haeyong Kang
Jaehong Yoon
Dahyun Kim
Sung Ju Hwang
Chang D. Yoo
AI4TS
40
2
0
20 Jun 2023
Heterogeneous Continual Learning
Heterogeneous Continual Learning
Divyam Madaan
Hongxu Yin
Wonmin Byeon
Jan Kautz
Pavlo Molchanov
CLL
29
5
0
14 Jun 2023
One-Shot Machine Unlearning with Mnemonic Code
One-Shot Machine Unlearning with Mnemonic Code
Tomoya Yamashita
Masanori Yamada
Takashi Shibata
MU
13
1
0
09 Jun 2023
Learning Representations on the Unit Sphere: Investigating Angular
  Gaussian and von Mises-Fisher Distributions for Online Continual Learning
Learning Representations on the Unit Sphere: Investigating Angular Gaussian and von Mises-Fisher Distributions for Online Continual Learning
Nicolas Michel
Giovanni Chierchia
Romain Negrel
J. Bercher
27
2
0
06 Jun 2023
LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning
LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning
Bo Liu
Yifeng Zhu
Chongkai Gao
Yihao Feng
Qian Liu
Yuke Zhu
Peter Stone
CLL
40
121
0
05 Jun 2023
Overcoming the Stability Gap in Continual Learning
Overcoming the Stability Gap in Continual Learning
Md Yousuf Harun
Christopher Kanan
AI4CE
40
11
0
02 Jun 2023
Approximate Bayesian Class-Conditional Models under Continuous
  Representation Shift
Approximate Bayesian Class-Conditional Models under Continuous Representation Shift
Thomas L. Lee
Amos Storkey
BDL
24
3
0
30 May 2023
Sit Back and Relax: Learning to Drive Incrementally in All Weather
  Conditions
Sit Back and Relax: Learning to Drive Incrementally in All Weather Conditions
Stefan Leitner
M. Jehanzeb Mirza
Wei Lin
Jakub Micorek
Marc Masana
Mateusz Koziñski
Horst Possegger
Horst Bischof
CLL
44
2
0
30 May 2023
Prediction Error-based Classification for Class-Incremental Learning
Prediction Error-based Classification for Class-Incremental Learning
Michal Zajkac
Tinne Tuytelaars
Gido M. van de Ven
CLL
31
8
0
30 May 2023
Learning without Forgetting for Vision-Language Models
Learning without Forgetting for Vision-Language Models
Da-Wei Zhou
Yuanhan Zhang
Jingyi Ning
Jingyi Ning
De-Chuan Zhan
De-Chuan Zhan
Ziwei Liu
VLM
CLL
74
37
0
30 May 2023
SHARP: Sparsity and Hidden Activation RePlay for Neuro-Inspired
  Continual Learning
SHARP: Sparsity and Hidden Activation RePlay for Neuro-Inspired Continual Learning
Mustafa Burak Gurbuz
J. M. Moorman
Constantinos Dovrolis
CLL
34
0
0
29 May 2023
Continual Task Allocation in Meta-Policy Network via Sparse Prompting
Continual Task Allocation in Meta-Policy Network via Sparse Prompting
Yijun Yang
Tianyi Zhou
Jing Jiang
Guodong Long
Yuhui Shi
CLL
OffRL
44
9
0
29 May 2023
DeCoR: Defy Knowledge Forgetting by Predicting Earlier Audio Codes
DeCoR: Defy Knowledge Forgetting by Predicting Earlier Audio Codes
Xilin Jiang
Yinghao Aaron Li
N. Mesgarani
CLL
24
1
0
29 May 2023
Backdoor Attacks Against Incremental Learners: An Empirical Evaluation
  Study
Backdoor Attacks Against Incremental Learners: An Empirical Evaluation Study
Yiqi Zhong
Xianming Liu
Deming Zhai
Junjun Jiang
Xiang Ji
AAML
20
0
0
28 May 2023
Summarizing Stream Data for Memory-Constrained Online Continual Learning
Summarizing Stream Data for Memory-Constrained Online Continual Learning
Jianyang Gu
Kai Wang
Wei Jiang
Yang You
DD
32
9
0
26 May 2023
Batch Model Consolidation: A Multi-Task Model Consolidation Framework
Batch Model Consolidation: A Multi-Task Model Consolidation Framework
Iordanis Fostiropoulos
Jiaye Zhu
Laurent Itti
MoMe
CLL
29
3
0
25 May 2023
Overcoming Catastrophic Forgetting in Massively Multilingual Continual
  Learning
Overcoming Catastrophic Forgetting in Massively Multilingual Continual Learning
Genta Indra Winata
Lingjue Xie
Karthik Radhakrishnan
Shijie Wu
Xisen Jin
Pengxiang Cheng
Mayank Kulkarni
Daniel Preotiuc-Pietro
CLL
26
18
0
25 May 2023
Condensed Prototype Replay for Class Incremental Learning
Condensed Prototype Replay for Class Incremental Learning
Jiangtao Kong
Zhenyu Zong
Dinesh Manocha
Huajie Shao
29
2
0
25 May 2023
Camera-Incremental Object Re-Identification with Identity Knowledge
  Evolution
Camera-Incremental Object Re-Identification with Identity Knowledge Evolution
Hantao Yao
Lu Yu
Jifei Luo
Changsheng Xu
39
0
0
25 May 2023
SketchOGD: Memory-Efficient Continual Learning
SketchOGD: Memory-Efficient Continual Learning
Benjamin Wright
Youngjae Min
Jeremy Bernstein
Navid Azizan
CLL
28
0
0
25 May 2023
Lightweight Learner for Shared Knowledge Lifelong Learning
Lightweight Learner for Shared Knowledge Lifelong Learning
Yunhao Ge
Yuecheng Li
Di Wu
Ao Xu
Adam M. Jones
...
Gozde Sahin
Shuo Ni
Kiran Lekkala
Sumedh Anand Sontakke
Laurent Itti
CLL
21
10
0
24 May 2023
Meta-Learning Online Adaptation of Language Models
Meta-Learning Online Adaptation of Language Models
Nathan J. Hu
E. Mitchell
Christopher D. Manning
Chelsea Finn
KELM
29
34
0
24 May 2023
IBCL: Zero-shot Model Generation for Task Trade-offs in Continual
  Learning
IBCL: Zero-shot Model Generation for Task Trade-offs in Continual Learning
Pengyuan Lu
Michele Caprio
Eric Eaton
Insup Lee
VLM
25
1
0
24 May 2023
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