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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
Class-Adaptive Sampling Policy for Efficient Continual Learning
Class-Adaptive Sampling Policy for Efficient Continual Learning
Hossein Rezaei
Mohammad Sabokrou
83
0
0
27 Nov 2023
FALCON: Fairness Learning via Contrastive Attention Approach to Continual Semantic Scene Understanding
FALCON: Fairness Learning via Contrastive Attention Approach to Continual Semantic Scene Understanding
Thanh-Dat Truong
Utsav Prabhu
Bhiksha Raj
Jackson Cothren
Khoa Luu
CLL
161
3
0
27 Nov 2023
Efficient Rehearsal Free Zero Forgetting Continual Learning using
  Adaptive Weight Modulation
Efficient Rehearsal Free Zero Forgetting Continual Learning using Adaptive Weight Modulation
Yonatan Sverdlov
Shimon Ullman
75
0
0
26 Nov 2023
Hessian Aware Low-Rank Perturbation for Order-Robust Continual Learning
Hessian Aware Low-Rank Perturbation for Order-Robust Continual Learning
Jiaqi Li
Yuanhao Lai
Rui Wang
Changjian Shui
Sabyasachi Sahoo
Charles Ling
Shichun Yang
Boyu Wang
Christian Gagné
Fan Zhou
CLL
102
1
0
26 Nov 2023
OpenNet: Incremental Learning for Autonomous Driving Object Detection
  with Balanced Loss
OpenNet: Incremental Learning for Autonomous Driving Object Detection with Balanced Loss
Zezhou Wang
Guitao Cao
Xidong Xi
Jiangtao Wang
143
0
0
25 Nov 2023
CUCL: Codebook for Unsupervised Continual Learning
CUCL: Codebook for Unsupervised Continual Learning
Chen Cheng
Jingkuan Song
Xiaosu Zhu
Sitong Su
Lianli Gao
Jikang Cheng
CLL
53
2
0
25 Nov 2023
Continual Referring Expression Comprehension via Dual Modular
  Memorization
Continual Referring Expression Comprehension via Dual Modular Memorization
Hengtao Shen
Cheng Chen
Peng Wang
Lianli Gao
Ming Wang
Jingkuan Song
ObjD
69
3
0
25 Nov 2023
Class Gradient Projection For Continual Learning
Class Gradient Projection For Continual Learning
Cheng Chen
Ji Zhang
Jingkuan Song
Lianli Gao
CLL
47
17
0
25 Nov 2023
Continual Learning of Diffusion Models with Generative Distillation
Continual Learning of Diffusion Models with Generative Distillation
Sergi Masip
Pau Rodriguez
Tinne Tuytelaars
Gido M. van de Ven
VLMDiffM
84
8
0
23 Nov 2023
Revisiting Supervision for Continual Representation Learning
Revisiting Supervision for Continual Representation Learning
Daniel Marczak
Sebastian Cygert
Tomasz Trzciñski
Bartlomiej Twardowski
SSLCLL
105
2
0
22 Nov 2023
Federated Learning via Consensus Mechanism on Heterogeneous Data: A New
  Perspective on Convergence
Federated Learning via Consensus Mechanism on Heterogeneous Data: A New Perspective on Convergence
Shu Zheng
Tiandi Ye
Xiang Li
Ming Gao
FedML
62
1
0
21 Nov 2023
BrainWash: A Poisoning Attack to Forget in Continual Learning
BrainWash: A Poisoning Attack to Forget in Continual Learning
Ali Abbasi
Parsa Nooralinejad
Hamed Pirsiavash
Soheil Kolouri
CLLKELMAAML
115
6
0
20 Nov 2023
What Can AutoML Do For Continual Learning?
What Can AutoML Do For Continual Learning?
Mert Kilickaya
Joaquin Vanschoren
63
2
0
20 Nov 2023
LifeLearner: Hardware-Aware Meta Continual Learning System for Embedded
  Computing Platforms
LifeLearner: Hardware-Aware Meta Continual Learning System for Embedded Computing Platforms
Young D. Kwon
Jagmohan Chauhan
Hong Jia
Stylianos I. Venieris
Cecilia Mascolo
89
12
0
19 Nov 2023
PACOL: Poisoning Attacks Against Continual Learners
PACOL: Poisoning Attacks Against Continual Learners
Huayu Li
G. Ditzler
AAML
58
3
0
18 Nov 2023
Prompt Pool based Class-Incremental Continual Learning for Dialog State
  Tracking
Prompt Pool based Class-Incremental Continual Learning for Dialog State Tracking
Hong Liu
Yucheng Cai
Yuan Zhou
Zhijian Ou
Yi Huang
Junlan Feng
CLL
92
2
0
17 Nov 2023
Online Continual Knowledge Learning for Language Models
Online Continual Knowledge Learning for Language Models
Yuhao Wu
Tongjun Shi
Karthick Sharma
Chun Seah
Shuhao Zhang
CLLKELM
89
4
0
16 Nov 2023
A Data-Free Approach to Mitigate Catastrophic Forgetting in Federated
  Class Incremental Learning for Vision Tasks
A Data-Free Approach to Mitigate Catastrophic Forgetting in Federated Class Incremental Learning for Vision Tasks
Sara Babakniya
Zalan Fabian
Chaoyang He
Mahdi Soltanolkotabi
Salman Avestimehr
FedMLCLL
84
32
0
13 Nov 2023
When Meta-Learning Meets Online and Continual Learning: A Survey
When Meta-Learning Meets Online and Continual Learning: A Survey
Jaehyeon Son
Soochan Lee
Gunhee Kim
OODCLL
94
12
0
09 Nov 2023
Two Complementary Perspectives to Continual Learning: Ask Not Only What
  to Optimize, But Also How
Two Complementary Perspectives to Continual Learning: Ask Not Only What to Optimize, But Also How
Timm Hess
Tinne Tuytelaars
Gido M. van de Ven
77
7
0
08 Nov 2023
Scalable and Efficient Continual Learning from Demonstration via a
  Hypernetwork-generated Stable Dynamics Model
Scalable and Efficient Continual Learning from Demonstration via a Hypernetwork-generated Stable Dynamics Model
Sayantan Auddy
Jakob J. Hollenstein
Matteo Saveriano
Antonio Rodríguez-Sánchez
J. Piater
80
7
0
06 Nov 2023
LOTUS: Continual Imitation Learning for Robot Manipulation Through
  Unsupervised Skill Discovery
LOTUS: Continual Imitation Learning for Robot Manipulation Through Unsupervised Skill Discovery
Weikang Wan
Yifeng Zhu
Rutav Shah
Yuke Zhu
SSLLM&RoVLMCLL
98
28
0
03 Nov 2023
Look-Ahead Selective Plasticity for Continual Learning of Visual Tasks
Look-Ahead Selective Plasticity for Continual Learning of Visual Tasks
Rouzbeh Meshkinnejad
Jie Mei
Daniel Lizotte
Y. Mohsenzadeh
SSLCLL
107
3
0
02 Nov 2023
Robust Feature Learning and Global Variance-Driven Classifier Alignment
  for Long-Tail Class Incremental Learning
Robust Feature Learning and Global Variance-Driven Classifier Alignment for Long-Tail Class Incremental Learning
Jaya Kalla
Soma Biswas
CLL
97
5
0
02 Nov 2023
Continual atlas-based segmentation of prostate MRI
Continual atlas-based segmentation of prostate MRI
Amin Ranem
Camila González
Daniel Pinto dos Santos
Andreas M. Bucher
Ahmed Othman
Anirban Mukhopadhyay
83
5
0
01 Nov 2023
NPCL: Neural Processes for Uncertainty-Aware Continual Learning
NPCL: Neural Processes for Uncertainty-Aware Continual Learning
Saurav Jha
Dong Gong
He Zhao
Lina Yao
CLLBDL
73
17
0
30 Oct 2023
Towards Plastic and Stable Exemplar-Free Incremental Learning: A
  Dual-Learner Framework with Cumulative Parameter Averaging
Towards Plastic and Stable Exemplar-Free Incremental Learning: A Dual-Learner Framework with Cumulative Parameter Averaging
Wenju Sun
Qingyong Li
Wen Wang
Yangli-ao Geng
CLLMoMe
68
3
0
28 Oct 2023
Fantastic Gains and Where to Find Them: On the Existence and Prospect of
  General Knowledge Transfer between Any Pretrained Model
Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained Model
Karsten Roth
Lukas Thede
Almut Sophia Koepke
Oriol Vinyals
Olivier J. Hénaff
Zeynep Akata
AAML
119
13
0
26 Oct 2023
Neuro-Inspired Fragmentation and Recall to Overcome Catastrophic
  Forgetting in Curiosity
Neuro-Inspired Fragmentation and Recall to Overcome Catastrophic Forgetting in Curiosity
Jaedong Hwang
Zhang-Wei Hong
Eric Chen
Akhilan Boopathy
Pulkit Agrawal
Ila Fiete
CLL
80
5
0
26 Oct 2023
CL-MASR: A Continual Learning Benchmark for Multilingual ASR
CL-MASR: A Continual Learning Benchmark for Multilingual ASR
Luca Della Libera
Pooneh Mousavi
Salah Zaiem
Cem Subakan
Mirco Ravanelli
AuLLMCLL
98
13
0
25 Oct 2023
TiC-CLIP: Continual Training of CLIP Models
TiC-CLIP: Continual Training of CLIP Models
Saurabh Garg
Mehrdad Farajtabar
Hadi Pouransari
Raviteja Vemulapalli
Sachin Mehta
Oncel Tuzel
Vaishaal Shankar
Fartash Faghri
VLMCLIP
121
31
0
24 Oct 2023
Minimax Forward and Backward Learning of Evolving Tasks with Performance
  Guarantees
Minimax Forward and Backward Learning of Evolving Tasks with Performance Guarantees
Verónica Álvarez
Santiago Mazuelas
Jose A. Lozano
CLL
54
1
0
24 Oct 2023
COPR: Continual Learning Human Preference through Optimal Policy
  Regularization
COPR: Continual Learning Human Preference through Optimal Policy Regularization
Han Zhang
Lin Gui
Yuanzhao Zhai
Hui Wang
Yu Lei
Ruifeng Xu
CLL
74
0
0
24 Oct 2023
Visually Grounded Continual Language Learning with Selective
  Specialization
Visually Grounded Continual Language Learning with Selective Specialization
Kyra Ahrens
Lennart Bengtson
Jae Hee Lee
Stefan Wermter
92
0
0
24 Oct 2023
Continual Event Extraction with Semantic Confusion Rectification
Continual Event Extraction with Semantic Confusion Rectification
Zitao Wang
Xin-Yue Wang
Wei Hu
CLL
70
4
0
24 Oct 2023
Coordinated Replay Sample Selection for Continual Federated Learning
Coordinated Replay Sample Selection for Continual Federated Learning
Jack Good
Jimit Majmudar
Christophe Dupuy
Jixuan Wang
Charith Peris
Clement Chung
Richard Zemel
Rahul Gupta
106
3
0
23 Oct 2023
Continual Named Entity Recognition without Catastrophic Forgetting
Continual Named Entity Recognition without Catastrophic Forgetting
Duzhen Zhang
Wei Cong
Jiahua Dong
Yahan Yu
Xiuyi Chen
Yonggang Zhang
Zhen Fang
66
12
0
23 Oct 2023
CITB: A Benchmark for Continual Instruction Tuning
CITB: A Benchmark for Continual Instruction Tuning
Zihan Zhang
Meng Fang
Ling-Hao Chen
Mohammad-Reza Namazi-Rad
ALMCLL
95
26
0
23 Oct 2023
Orthogonal Subspace Learning for Language Model Continual Learning
Orthogonal Subspace Learning for Language Model Continual Learning
Xiao Wang
Tianze Chen
Qiming Ge
Han Xia
Rong Bao
Rui Zheng
Qi Zhang
Tao Gui
Xuanjing Huang
CLL
155
114
0
22 Oct 2023
Continual Invariant Risk Minimization
Continual Invariant Risk Minimization
Francesco Alesiani
Shujian Yu
Mathias Niepert
OOD
82
1
0
21 Oct 2023
A Unified Approach to Domain Incremental Learning with Memory: Theory
  and Algorithm
A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm
Haizhou Shi
Hao Wang
CLL
105
26
0
18 Oct 2023
Prior-Free Continual Learning with Unlabeled Data in the Wild
Prior-Free Continual Learning with Unlabeled Data in the Wild
Tao Zhuo
Zhiyong Cheng
Hehe Fan
Mohan S. Kankanhalli
VLMCLL
74
2
0
16 Oct 2023
Lifelong Sequence Generation with Dynamic Module Expansion and
  Adaptation
Lifelong Sequence Generation with Dynamic Module Expansion and Adaptation
Chengwei Qin
Junwon Lee
Shafiq Joty
CLL
104
14
0
15 Oct 2023
Sub-network Discovery and Soft-masking for Continual Learning of Mixed
  Tasks
Sub-network Discovery and Soft-masking for Continual Learning of Mixed Tasks
Zixuan Ke
Bing Liu
Wenhan Xiong
Asli Celikyilmaz
Haoran Li
CLL
75
7
0
13 Oct 2023
Overcoming Recency Bias of Normalization Statistics in Continual
  Learning: Balance and Adaptation
Overcoming Recency Bias of Normalization Statistics in Continual Learning: Balance and Adaptation
Yilin Lyu
Liyuan Wang
Xingxing Zhang
Zicheng Sun
Hang Su
Jun Zhu
Liping Jing
80
8
0
13 Oct 2023
Continual Learning via Manifold Expansion Replay
Continual Learning via Manifold Expansion Replay
Zihao Xu
Xuan Tang
Yufei Shi
Jianfeng Zhang
Jian Yang
Mingsong Chen
Xian Wei
KELMCLL
31
4
0
12 Oct 2023
TRACE: A Comprehensive Benchmark for Continual Learning in Large
  Language Models
TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models
Xiao Wang
Yuan Zhang
Tianze Chen
Songyang Gao
Senjie Jin
...
Rui Zheng
Yicheng Zou
Tao Gui
Qi Zhang
Xuanjing Huang
ALMLRMCLL
91
23
0
10 Oct 2023
Rationale-Enhanced Language Models are Better Continual Relation
  Learners
Rationale-Enhanced Language Models are Better Continual Relation Learners
Weimin Xiong
Yifan Song
Peiyi Wang
Sujian Li
KELMLRMCLL
82
10
0
10 Oct 2023
Self-Supervised Dataset Distillation for Transfer Learning
Self-Supervised Dataset Distillation for Transfer Learning
Dong Bok Lee
Seanie Lee
Joonho Ko
Kenji Kawaguchi
Juho Lee
Sung Ju Hwang
DD
88
3
0
10 Oct 2023
CoinSeg: Contrast Inter- and Intra- Class Representations for
  Incremental Segmentation
CoinSeg: Contrast Inter- and Intra- Class Representations for Incremental Segmentation
Zekang Zhang
Guangyu Gao
Jianbo Jiao
C. Liu
Yunchao Wei
74
22
0
10 Oct 2023
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