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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
How neural networks find generalizable solutions: Self-tuned annealing
  in deep learning
How neural networks find generalizable solutions: Self-tuned annealing in deep learning
Yu Feng
Y. Tu
MLT
54
9
0
06 Jan 2020
A Neural Dirichlet Process Mixture Model for Task-Free Continual
  Learning
A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning
Soochan Lee
Junsoo Ha
Dongsu Zhang
Gunhee Kim
BDLCLL
90
212
0
03 Jan 2020
Overcoming Long-term Catastrophic Forgetting through Adversarial Neural
  Pruning and Synaptic Consolidation
Overcoming Long-term Catastrophic Forgetting through Adversarial Neural Pruning and Synaptic Consolidation
Jian-wei Peng
Bo Tang
Jiang Hao
Zhuo Li
Yinjie Lei
Tao R. Lin
Haifeng Li
AAMLCLL
75
38
0
19 Dec 2019
Direction Concentration Learning: Enhancing Congruency in Machine
  Learning
Direction Concentration Learning: Enhancing Congruency in Machine Learning
Yan Luo
Yongkang Wong
Mohan Kankanhalli
Qi Zhao
42
12
0
17 Dec 2019
Reducing Catastrophic Forgetting in Modular Neural Networks by Dynamic
  Information Balancing
Reducing Catastrophic Forgetting in Modular Neural Networks by Dynamic Information Balancing
Mohammed Amer
Tomás Maul
45
6
0
10 Dec 2019
Bayesian Structure Adaptation for Continual Learning
Bayesian Structure Adaptation for Continual Learning
Abhishek Kumar
Sunabha Chatterjee
Piyush Rai
CLLBDL
64
30
0
08 Dec 2019
Hierarchical Indian Buffet Neural Networks for Bayesian Continual
  Learning
Hierarchical Indian Buffet Neural Networks for Bayesian Continual Learning
Samuel Kessler
Vu Nguyen
S. Zohren
Stephen J. Roberts
BDL
94
25
0
04 Dec 2019
Learning to Recommend via Meta Parameter Partition
Learning to Recommend via Meta Parameter Partition
Liang Zhao
Yang Wang
Daxiang Dong
Hao Tian
OffRLCLL
81
7
0
04 Dec 2019
Overcoming Catastrophic Forgetting by Generative Regularization
Overcoming Catastrophic Forgetting by Generative Regularization
Peiqiu Chen
Wei Wei
Cho-Jui Hsieh
Bo Dai
CLL
51
17
0
03 Dec 2019
Latent Replay for Real-Time Continual Learning
Latent Replay for Real-Time Continual Learning
Lorenzo Pellegrini
G. Graffieti
Vincenzo Lomonaco
Davide Maltoni
CLL
98
167
0
02 Dec 2019
A Conceptual Framework for Lifelong Learning
A Conceptual Framework for Lifelong Learning
Charles X. Ling
Tanner A. Bohn
CLL
71
3
0
21 Nov 2019
Continual Learning with Adaptive Weights (CLAW)
Continual Learning with Adaptive Weights (CLAW)
T. Adel
Han Zhao
Richard Turner
CLL
76
73
0
21 Nov 2019
Online Learned Continual Compression with Adaptive Quantization Modules
Online Learned Continual Compression with Adaptive Quantization Modules
Lucas Caccia
Eugene Belilovsky
Massimo Caccia
Joelle Pineau
83
5
0
19 Nov 2019
Towards Making Deep Transfer Learning Never Hurt
Towards Making Deep Transfer Learning Never Hurt
Ruosi Wan
Haoyi Xiong
Xingjian Li
Zhanxing Zhu
Jun Huan
66
21
0
18 Nov 2019
REFIT: A Unified Watermark Removal Framework For Deep Learning Systems
  With Limited Data
REFIT: A Unified Watermark Removal Framework For Deep Learning Systems With Limited Data
Xinyun Chen
Wenxiao Wang
Chris Bender
Yiming Ding
R. Jia
Yue Liu
Basel Alomair
AAML
86
109
0
17 Nov 2019
OpenLORIS-Object: A Robotic Vision Dataset and Benchmark for Lifelong
  Deep Learning
OpenLORIS-Object: A Robotic Vision Dataset and Benchmark for Lifelong Deep Learning
Qi She
Fan Feng
Xinyue Hao
Qihan Yang
Chuanlin Lan
...
Zhengwei Wang
Yao Guo
Yimin Zhang
Fei Qiao
Rosa H. M. Chan
VLM
128
76
0
15 Nov 2019
Making Good on LSTMs' Unfulfilled Promise
Making Good on LSTMs' Unfulfilled Promise
Daniel Philps
Artur Garcez
Tillman Weyde
AI4TS
52
2
0
11 Nov 2019
Knowledge Distillation for Incremental Learning in Semantic Segmentation
Knowledge Distillation for Incremental Learning in Semantic Segmentation
Umberto Michieli
Pietro Zanuttigh
CLLVLM
99
100
0
08 Nov 2019
Forget Me Not: Reducing Catastrophic Forgetting for Domain Adaptation in
  Reading Comprehension
Forget Me Not: Reducing Catastrophic Forgetting for Domain Adaptation in Reading Comprehension
Ying Xu
Xu Zhong
Antonio Jimeno Yepes
Jey Han Lau
AI4CECLL
59
45
0
01 Nov 2019
Continual Unsupervised Representation Learning
Continual Unsupervised Representation Learning
Dushyant Rao
Francesco Visin
Andrei A. Rusu
Yee Whye Teh
Razvan Pascanu
R. Hadsell
BDLCLLSSLDRL
43
264
0
31 Oct 2019
Adversarial Feature Alignment: Avoid Catastrophic Forgetting in
  Incremental Task Lifelong Learning
Adversarial Feature Alignment: Avoid Catastrophic Forgetting in Incremental Task Lifelong Learning
Hang Zhou
Ziwei Liu
Chenglei Wu
Ping Luo
Lifeng Sun
CLL
120
22
0
24 Oct 2019
Orthogonal Gradient Descent for Continual Learning
Orthogonal Gradient Descent for Continual Learning
Mehrdad Farajtabar
Navid Azizan
Alex Mott
Ang Li
CLL
125
376
0
15 Oct 2019
Learning to Remember from a Multi-Task Teacher
Learning to Remember from a Multi-Task Teacher
Yuwen Xiong
Mengye Ren
R. Urtasun
CLLKELMOOD
69
4
0
10 Oct 2019
DEVDAN: Deep Evolving Denoising Autoencoder
DEVDAN: Deep Evolving Denoising Autoencoder
Andri Ashfahani
Mahardhika Pratama
E. Lughofer
Yew-Soon Ong
109
99
0
08 Oct 2019
Automatic Construction of Multi-layer Perceptron Network from Streaming
  Examples
Automatic Construction of Multi-layer Perceptron Network from Streaming Examples
Mahardhika Pratama
Choiru Za’in
Andri Ashfahani
Yew-Soon Ong
Weiping Ding
AI4CE
137
52
0
08 Oct 2019
Continual Learning in Neural Networks
Continual Learning in Neural Networks
Rahaf Aljundi
CLL
94
34
0
07 Oct 2019
Meta-Transfer Learning through Hard Tasks
Meta-Transfer Learning through Hard Tasks
Qianru Sun
Yaoyao Liu
Zhaozheng Chen
Tat-Seng Chua
Bernt Schiele
104
104
0
07 Oct 2019
REMIND Your Neural Network to Prevent Catastrophic Forgetting
REMIND Your Neural Network to Prevent Catastrophic Forgetting
Tyler L. Hayes
Kushal Kafle
Robik Shrestha
Manoj Acharya
Christopher Kanan
CLL
155
303
0
06 Oct 2019
Incremental learning for the detection and classification of
  GAN-generated images
Incremental learning for the detection and classification of GAN-generated images
Francesco Marra
Cristiano Saltori
G. Boato
Luisa Verdoliva
117
134
0
03 Oct 2019
Test-Time Training with Self-Supervision for Generalization under
  Distribution Shifts
Test-Time Training with Self-Supervision for Generalization under Distribution Shifts
Yu Sun
Xiaolong Wang
Zhuang Liu
John Miller
Alexei A. Efros
Moritz Hardt
TTAOOD
99
96
0
29 Sep 2019
Improved Schemes for Episodic Memory-based Lifelong Learning
Improved Schemes for Episodic Memory-based Lifelong Learning
Yunhui Guo
Mingrui Liu
Tianbao Yang
Tajana Simunic
CLL
48
9
0
25 Sep 2019
ContCap: A scalable framework for continual image captioning
ContCap: A scalable framework for continual image captioning
Giang Nguyen
Tae Joon Jun
T. Tran
Tolcha Yalew
Daeyoung Kim
VLMCLL
60
10
0
19 Sep 2019
A continual learning survey: Defying forgetting in classification tasks
A continual learning survey: Defying forgetting in classification tasks
Matthias De Lange
Rahaf Aljundi
Marc Masana
Sarah Parisot
Xu Jia
A. Leonardis
Greg Slabaugh
Tinne Tuytelaars
CLLKELM
81
246
0
18 Sep 2019
Neural Architecture Search for Class-incremental Learning
Neural Architecture Search for Class-incremental Learning
Shenyang Huang
Vincent François-Lavet
Guillaume Rabusseau
CLL
46
16
0
14 Sep 2019
Efficient Continual Learning in Neural Networks with Embedding
  Regularization
Efficient Continual Learning in Neural Networks with Embedding Regularization
Jary Pomponi
Simone Scardapane
Vincenzo Lomonaco
A. Uncini
CLL
87
42
0
09 Sep 2019
LAMOL: LAnguage MOdeling for Lifelong Language Learning
LAMOL: LAnguage MOdeling for Lifelong Language Learning
Fan-Keng Sun
Cheng-Hao Ho
Hung-yi Lee
CLLKELM
97
213
0
07 Sep 2019
Lifelong Machine Learning with Deep Streaming Linear Discriminant
  Analysis
Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis
Tyler L. Hayes
Christopher Kanan
CLL
70
144
0
04 Sep 2019
Learning Continually from Low-shot Data Stream
Learning Continually from Low-shot Data Stream
Canyu Le
Xihan Wei
Biao Wang
L. Zhang
Zhonggui Chen
CLL
24
3
0
27 Aug 2019
Online Continual Learning with Maximally Interfered Retrieval
Online Continual Learning with Maximally Interfered Retrieval
Rahaf Aljundi
Lucas Caccia
Eugene Belilovsky
Massimo Caccia
Min Lin
Laurent Charlin
Tinne Tuytelaars
CLL
115
552
0
11 Aug 2019
Continual Learning by Asymmetric Loss Approximation with Single-Side
  Overestimation
Continual Learning by Asymmetric Loss Approximation with Single-Side Overestimation
Dongmin Park
Seokil Hong
Bohyung Han
Kyoung Mu Lee
AAMLCLL
156
40
0
08 Aug 2019
Toward Understanding Catastrophic Forgetting in Continual Learning
Toward Understanding Catastrophic Forgetting in Continual Learning
Cuong V Nguyen
Alessandro Achille
Michael Lam
Tal Hassner
Vijay Mahadevan
Stefano Soatto
72
95
0
02 Aug 2019
Weight Friction: A Simple Method to Overcome Catastrophic Forgetting and
  Enable Continual Learning
Weight Friction: A Simple Method to Overcome Catastrophic Forgetting and Enable Continual Learning
Gabrielle K. Liu
18
0
0
02 Aug 2019
Continual Learning via Online Leverage Score Sampling
Continual Learning via Online Leverage Score Sampling
D. Teng
Sakyasingha Dasgupta
CLL
40
5
0
01 Aug 2019
Incremental Learning Techniques for Semantic Segmentation
Incremental Learning Techniques for Semantic Segmentation
Umberto Michieli
Pietro Zanuttigh
SSegCLLVLM
120
235
0
31 Jul 2019
Overcoming Catastrophic Forgetting by Neuron-level Plasticity Control
Overcoming Catastrophic Forgetting by Neuron-level Plasticity Control
Inyoung Paik
Sangjun Oh
Taeyeong Kwak
Injung Kim
CLL
94
49
0
31 Jul 2019
Lifelong GAN: Continual Learning for Conditional Image Generation
Lifelong GAN: Continual Learning for Conditional Image Generation
Mengyao Zhai
Lei Chen
Frederick Tung
Jiawei He
Megha Nawhal
Greg Mori
CLL
102
183
0
23 Jul 2019
Autoencoder-Based Incremental Class Learning without Retraining on Old
  Data
Autoencoder-Based Incremental Class Learning without Retraining on Old Data
Euntae Choi
Kyungmi Lee
Kiyoung Choi
CLL
48
13
0
18 Jul 2019
Motion Planning Networks: Bridging the Gap Between Learning-based and
  Classical Motion Planners
Motion Planning Networks: Bridging the Gap Between Learning-based and Classical Motion Planners
A. H. Qureshi
Yinglong Miao
Anthony Simeonov
Michael C. Yip
PINN3DV
128
220
0
13 Jul 2019
Massively Multilingual Neural Machine Translation in the Wild: Findings
  and Challenges
Massively Multilingual Neural Machine Translation in the Wild: Findings and Challenges
N. Arivazhagan
Ankur Bapna
Orhan Firat
Dmitry Lepikhin
Melvin Johnson
...
George F. Foster
Colin Cherry
Wolfgang Macherey
Zhiwen Chen
Yonghui Wu
105
429
0
11 Jul 2019
Rehearsal-Free Continual Learning over Small Non-I.I.D. Batches
Rehearsal-Free Continual Learning over Small Non-I.I.D. Batches
Vincenzo Lomonaco
Davide Maltoni
Lorenzo Pellegrini
CLLVLM
103
67
0
08 Jul 2019
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