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Gradient Episodic Memory for Continual Learning

Gradient Episodic Memory for Continual Learning

26 June 2017
David Lopez-Paz
MarcÁurelio Ranzato
    VLM
    CLL
ArXivPDFHTML

Papers citing "Gradient Episodic Memory for Continual Learning"

50 / 596 papers shown
Title
The CLEAR Benchmark: Continual LEArning on Real-World Imagery
The CLEAR Benchmark: Continual LEArning on Real-World Imagery
Zhiqiu Lin
Jia Shi
Deepak Pathak
Deva Ramanan
CLL
VLM
148
92
0
17 Jan 2022
Technical Report for ICCV 2021 Challenge SSLAD-Track3B: Transformers Are
  Better Continual Learners
Technical Report for ICCV 2021 Challenge SSLAD-Track3B: Transformers Are Better Continual Learners
Duo Li
Guimei Cao
Yunlu Xu
Zhanzhan Cheng
Yi Niu
CLL
30
21
0
13 Jan 2022
An Incremental Learning Approach to Automatically Recognize Pulmonary
  Diseases from the Multi-vendor Chest Radiographs
An Incremental Learning Approach to Automatically Recognize Pulmonary Diseases from the Multi-vendor Chest Radiographs
Mehreen Sirshar
Taimur Hassan
M. Akram
S. Khan
32
33
0
07 Jan 2022
Exemplar-free Class Incremental Learning via Discriminative and
  Comparable One-class Classifiers
Exemplar-free Class Incremental Learning via Discriminative and Comparable One-class Classifiers
Wenju Sun
Qingyong Li
Jing Zhang
Danyu Wang
Wen Wang
Yangli-ao Geng
BDL
24
3
0
05 Jan 2022
Hyperparameter-free Continuous Learning for Domain Classification in
  Natural Language Understanding
Hyperparameter-free Continuous Learning for Domain Classification in Natural Language Understanding
Ting Hua
Yilin Shen
Changsheng Zhao
Yen-Chang Hsu
Hongxia Jin
39
5
0
05 Jan 2022
Class-Incremental Continual Learning into the eXtended DER-verse
Class-Incremental Continual Learning into the eXtended DER-verse
Matteo Boschini
Lorenzo Bonicelli
Pietro Buzzega
Angelo Porrello
Simone Calderara
CLL
BDL
37
128
0
03 Jan 2022
Relational Experience Replay: Continual Learning by Adaptively Tuning
  Task-wise Relationship
Relational Experience Replay: Continual Learning by Adaptively Tuning Task-wise Relationship
Quanziang Wang
Renzhen Wang
Yuexiang Li
Dong Wei
Kai Ma
Yefeng Zheng
Deyu Meng
CLL
38
7
0
31 Dec 2021
Generative Kernel Continual learning
Generative Kernel Continual learning
Mohammad Mahdi Derakhshani
Xiantong Zhen
Ling Shao
Cees G. M. Snoek
BDL
VLM
41
0
0
26 Dec 2021
Domain-Aware Continual Zero-Shot Learning
Domain-Aware Continual Zero-Shot Learning
Kai Yi
Paul Janson
Wenxuan Zhang
Mohamed Elhoseiny
59
4
0
24 Dec 2021
Graph Few-shot Class-incremental Learning
Graph Few-shot Class-incremental Learning
Zhen Tan
Kaize Ding
Ruocheng Guo
Huan Liu
CLL
GNN
36
59
0
23 Dec 2021
PyCIL: A Python Toolbox for Class-Incremental Learning
PyCIL: A Python Toolbox for Class-Incremental Learning
Da-Wei Zhou
Fu Lee Wang
Han-Jia Ye
De-Chuan Zhan
CLL
48
93
0
23 Dec 2021
Continual learning of longitudinal health records
Continual learning of longitudinal health records
Jacob Armstrong
David Clifton
CLL
KELM
32
15
0
22 Dec 2021
How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial
  Robustness?
How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial Robustness?
Xinhsuai Dong
Anh Tuan Luu
Min Lin
Shuicheng Yan
Hanwang Zhang
SILM
AAML
25
55
0
22 Dec 2021
Continual Learning with Knowledge Transfer for Sentiment Classification
Continual Learning with Knowledge Transfer for Sentiment Classification
Zixuan Ke
Bing-Quan Liu
Hao Wang
Lei Shu
CLL
21
30
0
18 Dec 2021
Learning to Prompt for Continual Learning
Learning to Prompt for Continual Learning
Zifeng Wang
Zizhao Zhang
Chen-Yu Lee
Han Zhang
Ruoxi Sun
Xiaoqi Ren
Guolong Su
Vincent Perot
Jennifer Dy
Tomas Pfister
CLL
VPVLM
KELM
VLM
22
743
0
16 Dec 2021
Improving Vision Transformers for Incremental Learning
Improving Vision Transformers for Incremental Learning
Pei Yu
Yinpeng Chen
Ying Jin
Zicheng Liu
CLL
ViT
27
16
0
12 Dec 2021
FedSoft: Soft Clustered Federated Learning with Proximal Local Updating
FedSoft: Soft Clustered Federated Learning with Proximal Local Updating
Yichen Ruan
Carlee Joe-Wong
FedML
29
87
0
11 Dec 2021
Self-Supervised Models are Continual Learners
Self-Supervised Models are Continual Learners
Enrico Fini
Victor G. Turrisi da Costa
Xavier Alameda-Pineda
Elisa Ricci
Alahari Karteek
Julien Mairal
BDL
CLL
SSL
55
161
0
08 Dec 2021
Is Class-Incremental Enough for Continual Learning?
Is Class-Incremental Enough for Continual Learning?
Andrea Cossu
G. Graffieti
Lorenzo Pellegrini
Davide Maltoni
D. Bacciu
Antonio Carta
Vincenzo Lomonaco
CLL
47
30
0
06 Dec 2021
Adapting BERT for Continual Learning of a Sequence of Aspect Sentiment
  Classification Tasks
Adapting BERT for Continual Learning of a Sequence of Aspect Sentiment Classification Tasks
Zixuan Ke
Hu Xu
Bing-Quan Liu
CLL
247
83
0
06 Dec 2021
CLASSIC: Continual and Contrastive Learning of Aspect Sentiment
  Classification Tasks
CLASSIC: Continual and Contrastive Learning of Aspect Sentiment Classification Tasks
Zixuan Ke
Bing-Quan Liu
Hu Xu
Lei Shu
CLL
31
55
0
05 Dec 2021
Achieving Forgetting Prevention and Knowledge Transfer in Continual
  Learning
Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning
Zixuan Ke
Bing-Quan Liu
Nianzu Ma
Hu Xu
Lei Shu
CLL
192
122
0
05 Dec 2021
Contrastive Continual Learning with Feature Propagation
Contrastive Continual Learning with Feature Propagation
Xuejun Han
Yuhong Guo
CLL
29
4
0
03 Dec 2021
Learning Curves for Continual Learning in Neural Networks:
  Self-Knowledge Transfer and Forgetting
Learning Curves for Continual Learning in Neural Networks: Self-Knowledge Transfer and Forgetting
Ryo Karakida
S. Akaho
CLL
34
11
0
03 Dec 2021
DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion
DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion
Arthur Douillard
Alexandre Ramé
Guillaume Couairon
Matthieu Cord
CLL
30
299
0
22 Nov 2021
Target Layer Regularization for Continual Learning Using Cramer-Wold
  Generator
Target Layer Regularization for Continual Learning Using Cramer-Wold Generator
Marcin Mazur
Lukasz Pustelnik
Szymon Knop
Patryk Pagacz
Przemysław Spurek
36
2
0
15 Nov 2021
Continual Learning via Local Module Composition
Continual Learning via Local Module Composition
O. Ostapenko
Pau Rodríguez López
Massimo Caccia
Laurent Charlin
KELM
CLL
48
66
0
15 Nov 2021
CoReS: Compatible Representations via Stationarity
CoReS: Compatible Representations via Stationarity
Niccoló Biondi
F. Pernici
Matteo Bruni
A. Bimbo
OOD
29
9
0
15 Nov 2021
Lifelong Vehicle Trajectory Prediction Framework Based on Generative
  Replay
Lifelong Vehicle Trajectory Prediction Framework Based on Generative Replay
Peng Bao
Zonghai Chen
Ji-kai Wang
Deyun Dai
Hao Zhao
38
9
0
15 Nov 2021
Kronecker Factorization for Preventing Catastrophic Forgetting in
  Large-scale Medical Entity Linking
Kronecker Factorization for Preventing Catastrophic Forgetting in Large-scale Medical Entity Linking
Denis Jered McInerney
Luyang Kong
Kristjan Arumae
Byron C. Wallace
Parminder Bhatia
CLL
24
1
0
11 Nov 2021
Towards an Understanding of Default Policies in Multitask Policy
  Optimization
Towards an Understanding of Default Policies in Multitask Policy Optimization
Theodore H. Moskovitz
Michael Arbel
Jack Parker-Holder
Aldo Pacchiano
30
9
0
04 Nov 2021
Exploring System Performance of Continual Learning for Mobile and
  Embedded Sensing Applications
Exploring System Performance of Continual Learning for Mobile and Embedded Sensing Applications
Young D. Kwon
Jagmohan Chauhan
Abhishek Kumar
Pan Hui
Cecilia Mascolo
CLL
HAI
33
32
0
25 Oct 2021
Center Loss Regularization for Continual Learning
Center Loss Regularization for Continual Learning
Kaustubh Olpadkar
Ekta Gavas
CLL
35
1
0
21 Oct 2021
CORA: Benchmarks, Baselines, and Metrics as a Platform for Continual
  Reinforcement Learning Agents
CORA: Benchmarks, Baselines, and Metrics as a Platform for Continual Reinforcement Learning Agents
Sam Powers
Eliot Xing
Eric Kolve
Roozbeh Mottaghi
Abhinav Gupta
OffRL
36
38
0
19 Oct 2021
Towards Better Plasticity-Stability Trade-off in Incremental Learning: A
  Simple Linear Connector
Towards Better Plasticity-Stability Trade-off in Incremental Learning: A Simple Linear Connector
Guoliang Lin
Hanlu Chu
Hanjiang Lai
MoMe
CLL
39
45
0
15 Oct 2021
Continual Learning on Noisy Data Streams via Self-Purified Replay
Continual Learning on Noisy Data Streams via Self-Purified Replay
C. Kim
Jinseo Jeong
Sang-chul Moon
Gunhee Kim
CLL
45
39
0
14 Oct 2021
LFPT5: A Unified Framework for Lifelong Few-shot Language Learning Based
  on Prompt Tuning of T5
LFPT5: A Unified Framework for Lifelong Few-shot Language Learning Based on Prompt Tuning of T5
Chengwei Qin
Shafiq Joty
CLL
178
99
0
14 Oct 2021
Continual learning using lattice-free MMI for speech recognition
Continual learning using lattice-free MMI for speech recognition
Hossein Hadian
Arsenii Gorin
CLL
18
1
0
13 Oct 2021
Block Contextual MDPs for Continual Learning
Block Contextual MDPs for Continual Learning
Shagun Sodhani
Franziska Meier
Joelle Pineau
Amy Zhang
CLL
41
26
0
13 Oct 2021
Avoiding Forgetting and Allowing Forward Transfer in Continual Learning
  via Sparse Networks
Avoiding Forgetting and Allowing Forward Transfer in Continual Learning via Sparse Networks
Ghada Sokar
Decebal Constantin Mocanu
Mykola Pechenizkiy
CLL
35
8
0
11 Oct 2021
Flattening Sharpness for Dynamic Gradient Projection Memory Benefits
  Continual Learning
Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning
Danruo Deng
Guangyong Chen
Jianye Hao
Qiong Wang
Pheng-Ann Heng
CLL
AAML
24
77
0
09 Oct 2021
Towards Lifelong Learning of Multilingual Text-To-Speech Synthesis
Towards Lifelong Learning of Multilingual Text-To-Speech Synthesis
Mu Yang
Shaojin Ding
Tianlong Chen
Tong Wang
Zhangyang Wang
CLL
30
5
0
09 Oct 2021
CLEVA-Compass: A Continual Learning EValuation Assessment Compass to
  Promote Research Transparency and Comparability
CLEVA-Compass: A Continual Learning EValuation Assessment Compass to Promote Research Transparency and Comparability
Martin Mundt
Steven Braun
Quentin Delfosse
Kristian Kersting
27
35
0
07 Oct 2021
Towards Continual Knowledge Learning of Language Models
Towards Continual Knowledge Learning of Language Models
Joel Jang
Seonghyeon Ye
Sohee Yang
Joongbo Shin
Janghoon Han
Gyeonghun Kim
Stanley Jungkyu Choi
Minjoon Seo
CLL
KELM
233
151
0
07 Oct 2021
Objects in Semantic Topology
Objects in Semantic Topology
Shuo Yang
Pei Sun
Yi Jiang
Xiaobo Xia
Ruiheng Zhang
Zehuan Yuan
Changhu Wang
Ping Luo
Min Xu
ObjD
89
29
0
06 Oct 2021
Hypernetworks for Continual Semi-Supervised Learning
Hypernetworks for Continual Semi-Supervised Learning
Dhanajit Brahma
Vinay Kumar Verma
Piyush Rai
BDL
CLL
30
12
0
05 Oct 2021
Powerpropagation: A sparsity inducing weight reparameterisation
Powerpropagation: A sparsity inducing weight reparameterisation
Jonathan Richard Schwarz
Siddhant M. Jayakumar
Razvan Pascanu
P. Latham
Yee Whye Teh
98
54
0
01 Oct 2021
DualNet: Continual Learning, Fast and Slow
DualNet: Continual Learning, Fast and Slow
Quang Pham
Chenghao Liu
Guosheng Lin
CLL
77
44
0
01 Oct 2021
Towards a theory of out-of-distribution learning
Towards a theory of out-of-distribution learning
Jayanta Dey
Ali Geisa
Ronak D. Mehta
Tyler M. Tomita
Hayden S. Helm
Haoyin Xu
Eric Eaton
Jeffery Dick
Carey E. Priebe
Joshua T. Vogelstein
OOD
33
20
0
29 Sep 2021
Formalizing the Generalization-Forgetting Trade-off in Continual
  Learning
Formalizing the Generalization-Forgetting Trade-off in Continual Learning
Krishnan Raghavan
Prasanna Balaprakash
CLL
59
30
0
28 Sep 2021
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