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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
First-order penalty methods for bilevel optimization
First-order penalty methods for bilevel optimization
Zhaosong Lu
Sanyou Mei
129
36
0
04 Jan 2023
Generative appearance replay for continual unsupervised domain
  adaptation
Generative appearance replay for continual unsupervised domain adaptation
Boqi Chen
Kevin Thandiackal
Pushpak Pati
O. Goksel
CLLMedIm
85
12
0
03 Jan 2023
Source-Free Unsupervised Domain Adaptation: A Survey
Source-Free Unsupervised Domain Adaptation: A Survey
Yuqi Fang
P. Yap
W. Lin
Hongtu Zhu
Mingxia Liu
226
99
0
31 Dec 2022
Self-Activating Neural Ensembles for Continual Reinforcement Learning
Self-Activating Neural Ensembles for Continual Reinforcement Learning
Sam Powers
Eliot Xing
Abhinav Gupta
KELMCLL
86
5
0
31 Dec 2022
Sparse Coding in a Dual Memory System for Lifelong Learning
Sparse Coding in a Dual Memory System for Lifelong Learning
F. Sarfraz
Elahe Arani
Bahram Zonooz
CLL
44
22
0
28 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
120
4
0
26 Dec 2022
Continual Learning Approaches for Anomaly Detection
Continual Learning Approaches for Anomaly Detection
Davide Dalle Pezze
Eugenia Anello
Chiara Masiero
Gian Antonio Susto
77
6
0
21 Dec 2022
Continual Interactive Behavior Learning With Traffic Divergence
  Measurement: A Dynamic Gradient Scenario Memory Approach
Continual Interactive Behavior Learning With Traffic Divergence Measurement: A Dynamic Gradient Scenario Memory Approach
Yunlong Lin
Zirui Li
Cheng Gong
Chao Lu
Xinwei Wang
Jian-wei Gong
95
6
0
21 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
CLLOffRL
89
23
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
103
46
0
19 Dec 2022
A Probabilistic Framework for Lifelong Test-Time Adaptation
A Probabilistic Framework for Lifelong Test-Time Adaptation
Dhanajit Brahma
Piyush Rai
TTA
68
36
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
63
5
0
16 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
SSLBDLCLL
86
18
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
VLMCLL
125
46
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
85
12
0
06 Dec 2022
Life-long Learning for Multilingual Neural Machine Translation with
  Knowledge Distillation
Life-long Learning for Multilingual Neural Machine Translation with Knowledge Distillation
Yang Zhao
Junnan Zhu
Lu Xiang
Jiajun Zhang
Yu Zhou
Feifei Zhai
Chengqing Zong
CLL
93
7
0
06 Dec 2022
A Machine with Short-Term, Episodic, and Semantic Memory Systems
A Machine with Short-Term, Episodic, and Semantic Memory Systems
Taewoon Kim
Michael Cochez
Vincent Franccois-Lavet
Mark Antonius Neerincx
Piek Vossen
80
5
0
05 Dec 2022
DA-CIL: Towards Domain Adaptive Class-Incremental 3D Object Detection
DA-CIL: Towards Domain Adaptive Class-Incremental 3D Object Detection
Ziyuan Zhao
Ming Xu
Peisheng Qian
R. Pahwa
Richard Chang
3DPCCLL
87
8
0
05 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
165
19
0
04 Dec 2022
Continual Learning for On-Device Speech Recognition using Disentangled
  Conformers
Continual Learning for On-Device Speech Recognition using Disentangled Conformers
Anuj Diwan
Ching-Feng Yeh
Wei-Ning Hsu
Paden Tomasello
Eunsol Choi
David Harwath
Abdel-rahman Mohamed
CLLBDL
81
8
0
02 Dec 2022
On-device Training: A First Overview on Existing Systems
On-device Training: A First Overview on Existing Systems
Shuai Zhu
Thiemo Voigt
Jeonggil Ko
Fatemeh Rahimian
142
17
0
01 Dec 2022
CONDA: Continual Unsupervised Domain Adaptation Learning in Visual
  Perception for Self-Driving Cars
CONDA: Continual Unsupervised Domain Adaptation Learning in Visual Perception for Self-Driving Cars
Thanh-Dat Truong
Pierce Helton
A. Moustafa
J. Cothren
Khoa Luu
CLL
107
7
0
01 Dec 2022
GMM-IL: Image Classification using Incrementally Learnt, Independent
  Probabilistic Models for Small Sample Sizes
GMM-IL: Image Classification using Incrementally Learnt, Independent Probabilistic Models for Small Sample Sizes
P. Johnston
Keiller Nogueira
Kevin Swingler
CLL
58
3
0
01 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
Shafiq Joty
Steven C. H. Hoi
OODVLM
78
5
0
30 Nov 2022
Self-Supervised Continual Graph Learning in Adaptive Riemannian Spaces
Self-Supervised Continual Graph Learning in Adaptive Riemannian Spaces
Li Sun
Junda Ye
Hao Peng
Feiyang Wang
Philip S. Yu
CLL
106
32
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
73
4
0
29 Nov 2022
Lifelong Person Re-Identification via Knowledge Refreshing and
  Consolidation
Lifelong Person Re-Identification via Knowledge Refreshing and Consolidation
Chunlin Yu
Ye-ling Shi
Zimo Liu
Shenghua Gao
Jingya Wang
KELMCLL
103
29
0
29 Nov 2022
The Effectiveness of World Models for Continual Reinforcement Learning
The Effectiveness of World Models for Continual Reinforcement Learning
Samuel Kessler
M. Ostaszewski
Michal Bortkiewicz
M. Żarski
Maciej Wołczyk
Jack Parker-Holder
Stephen J. Roberts
Piotr Milo's
KELMOffRLCLL
81
8
0
29 Nov 2022
Data Poisoning Attack Aiming the Vulnerability of Continual Learning
Data Poisoning Attack Aiming the Vulnerability of Continual Learning
Gyojin Han
Jaehyun Choi
H. Hong
Junmo Kim
AAML
35
2
0
29 Nov 2022
Lifelong Embedding Learning and Transfer for Growing Knowledge Graphs
Lifelong Embedding Learning and Transfer for Growing Knowledge Graphs
Yuanning Cui
Yuxin Wang
Zequn Sun
Wenqiang Liu
Yiqiao Jiang
Kexin Han
Wei Hu
CLLKELM
71
26
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
86
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
CLLKELM
98
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
86
1
0
27 Nov 2022
BeGin: Extensive Benchmark Scenarios and An Easy-to-use Framework for
  Graph Continual Learning
BeGin: Extensive Benchmark Scenarios and An Easy-to-use Framework for Graph Continual Learning
Jihoon Ko
Shinhwan Kang
Taehyung Kwon
Heechan Moon
Kijung Shin
CLL
101
7
0
26 Nov 2022
Instance-level Heterogeneous Domain Adaptation for Limited-labeled
  Sketch-to-Photo Retrieval
Instance-level Heterogeneous Domain Adaptation for Limited-labeled Sketch-to-Photo Retrieval
Fan Yang
Yang Wu
Zheng Wang
Wenting Chen
S. Sakti
Satoshi Nakamura
VLM
81
26
0
26 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
93
79
0
25 Nov 2022
Overcoming Catastrophic Forgetting by XAI
Overcoming Catastrophic Forgetting by XAI
Giang Nguyen
104
0
0
25 Nov 2022
Unsupervised Continual Semantic Adaptation through Neural Rendering
Unsupervised Continual Semantic Adaptation through Neural Rendering
Zhizheng Liu
Francesco Milano
Jonas Frey
Roland Siegwart
Hermann Blum
Cesar Cadena
CLL
89
18
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
67
8
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
CLLVPVLMVLM
110
299
0
23 Nov 2022
Integral Continual Learning Along the Tangent Vector Field of Tasks
Integral Continual Learning Along the Tangent Vector Field of Tasks
Tianlin Liu
Aditya Golatkar
Stefano Soatto
Alessandro Achille
CLL
60
3
0
23 Nov 2022
Semi-Supervised Lifelong Language Learning
Semi-Supervised Lifelong Language Learning
Ying Zhao
Yinhe Zheng
Yu Bowen
Zhiliang Tian
Dongkyu Lee
Jian Sun
Haiyang Yu
Yongbin Li
N. Zhang
CLLKELM
104
3
0
23 Nov 2022
Continual Learning of Natural Language Processing Tasks: A Survey
Continual Learning of Natural Language Processing Tasks: A Survey
Zixuan Ke
Bin Liu
KELMCLLVLM
108
79
0
23 Nov 2022
Exemplar-free Continual Learning of Vision Transformers via Gated
  Class-Attention and Cascaded Feature Drift Compensation
Exemplar-free Continual Learning of Vision Transformers via Gated Class-Attention and Cascaded Feature Drift Compensation
Marco Cotogni
Fei Yang
C. Cusano
Andrew D. Bagdanov
Joost van de Weijer
CLL
93
0
0
22 Nov 2022
Towards continually learning new languages
Towards continually learning new languages
Ngoc-Quan Pham
Jan Niehues
A. Waibel
CLL
54
3
0
21 Nov 2022
Learn from Yesterday: A Semi-Supervised Continual Learning Method for
  Supervision-Limited Text-to-SQL Task Streams
Learn from Yesterday: A Semi-Supervised Continual Learning Method for Supervision-Limited Text-to-SQL Task Streams
Yongrui Chen
Xinnan Guo
Tongtong Wu
Guilin Qi
Yongqian Li
Yang Dong
CLLAI4TS
65
7
0
21 Nov 2022
CL-CrossVQA: A Continual Learning Benchmark for Cross-Domain Visual
  Question Answering
CL-CrossVQA: A Continual Learning Benchmark for Cross-Domain Visual Question Answering
Yao Zhang
Haokun Chen
A. Frikha
Yezi Yang
Denis Krompass
Gengyuan Zhang
Jindong Gu
Volker Tresp
VLMLRM
85
7
0
19 Nov 2022
Building a Subspace of Policies for Scalable Continual Learning
Building a Subspace of Policies for Scalable Continual Learning
Jean-Baptiste Gaya
T. Doan
Lucas Caccia
Laure Soulier
Ludovic Denoyer
Roberta Raileanu
CLL
121
31
0
18 Nov 2022
ConStruct-VL: Data-Free Continual Structured VL Concepts Learning
ConStruct-VL: Data-Free Continual Structured VL Concepts Learning
James Smith
Paola Cascante-Bonilla
Assaf Arbelle
Donghyun Kim
Yikang Shen
David D. Cox
Diyi Yang
Z. Kira
Rogerio Feris
Leonid Karlinsky
VLM
146
23
0
17 Nov 2022
NEVIS'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision
  Research
NEVIS'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research
J. Bornschein
Alexandre Galashov
Ross Hemsley
Amal Rannen-Triki
Yutian Chen
...
Angeliki Lazaridou
Yee Whye Teh
Andrei A. Rusu
Razvan Pascanu
MarcÁurelio Ranzato
OODVLMAI4TS
111
18
0
15 Nov 2022
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