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Overcoming catastrophic forgetting in neural networks
v1v2 (latest)

Overcoming catastrophic forgetting in neural networks

2 December 2016
J. Kirkpatrick
Razvan Pascanu
Neil C. Rabinowitz
J. Veness
Guillaume Desjardins
Andrei A. Rusu
Kieran Milan
John Quan
Tiago Ramalho
A. Grabska-Barwinska
Demis Hassabis
Claudia Clopath
D. Kumaran
R. Hadsell
    CLL
ArXiv (abs)PDFHTML

Papers citing "Overcoming catastrophic forgetting in neural networks"

50 / 3,800 papers shown
Title
Memory Efficient Class-Incremental Learning for Image Classification
Memory Efficient Class-Incremental Learning for Image Classification
Hanbin Zhao
Haibo Wang
Yongjian Fu
Leilei Gan
Xi Li
CLLVLM
96
76
0
04 Aug 2020
Online Few-shot Gesture Learning on a Neuromorphic Processor
Online Few-shot Gesture Learning on a Neuromorphic Processor
Kenneth Stewart
Garrick Orchard
S. Shrestha
Emre Neftci
91
38
0
03 Aug 2020
Removing Backdoor-Based Watermarks in Neural Networks with Limited Data
Removing Backdoor-Based Watermarks in Neural Networks with Limited Data
Xuankai Liu
Fengting Li
Bihan Wen
Qi Li
AAML
73
61
0
02 Aug 2020
Bilevel Continual Learning
Bilevel Continual Learning
Quang Pham
Doyen Sahoo
Chenghao Liu
Guosheng Lin
CLL
92
11
0
30 Jul 2020
A Lifelong Learning Approach to Mobile Robot Navigation
A Lifelong Learning Approach to Mobile Robot Navigation
Bo Liu
Xuesu Xiao
Peter Stone
103
10
0
28 Jul 2020
Lifelong Incremental Reinforcement Learning with Online Bayesian
  Inference
Lifelong Incremental Reinforcement Learning with Online Bayesian Inference
Zhi Wang
Chunlin Chen
D. Dong
CLLOffRL
78
56
0
28 Jul 2020
La-MAML: Look-ahead Meta Learning for Continual Learning
La-MAML: Look-ahead Meta Learning for Continual Learning
Gunshi Gupta
Karmesh Yadav
Liam Paull
CLLVLM
115
68
0
27 Jul 2020
Two-Level Residual Distillation based Triple Network for Incremental
  Object Detection
Two-Level Residual Distillation based Triple Network for Incremental Object Detection
Dongbao Yang
Yu Zhou
Dayan Wu
Can Ma
Fei Yang
Weiping Wang
ObjD
62
18
0
27 Jul 2020
Reparameterizing Convolutions for Incremental Multi-Task Learning
  without Task Interference
Reparameterizing Convolutions for Incremental Multi-Task Learning without Task Interference
Menelaos Kanakis
David Brüggemann
Suman Saha
Stamatios Georgoulis
Anton Obukhov
Luc Van Gool
CLL
115
72
0
24 Jul 2020
Mind Your Manners! A Dataset and A Continual Learning Approach for
  Assessing Social Appropriateness of Robot Actions
Mind Your Manners! A Dataset and A Continual Learning Approach for Assessing Social Appropriateness of Robot Actions
Jonas Tjomsland
Sinan Kalkan
Hatice Gunes
73
20
0
24 Jul 2020
What and Where: Learn to Plug Adapters via NAS for Multi-Domain Learning
What and Where: Learn to Plug Adapters via NAS for Multi-Domain Learning
Hanbin Zhao
Hao Zeng
Xin Qin
Yongjian Fu
Haibo Wang
Bourahla Omar
Xi Li
87
18
0
24 Jul 2020
ADER: Adaptively Distilled Exemplar Replay Towards Continual Learning
  for Session-based Recommendation
ADER: Adaptively Distilled Exemplar Replay Towards Continual Learning for Session-based Recommendation
Fei Mi
Xiao Lin
Boi Faltings
CLL
102
53
0
23 Jul 2020
Memory-Latency-Accuracy Trade-offs for Continual Learning on a RISC-V
  Extreme-Edge Node
Memory-Latency-Accuracy Trade-offs for Continual Learning on a RISC-V Extreme-Edge Node
Leonardo Ravaglia
Manuele Rusci
Alessandro Capotondi
Francesco Conti
Lorenzo Pellegrini
Vincenzo Lomonaco
Davide Maltoni
Luca Benini
42
11
0
22 Jul 2020
Navigating the Trade-Off between Multi-Task Learning and Learning to
  Multitask in Deep Neural Networks
Navigating the Trade-Off between Multi-Task Learning and Learning to Multitask in Deep Neural Networks
S. S. Ravi
Sebastian Musslick
Maia Hamin
Theodore L. Willke
Jonathan Cohen
33
4
0
20 Jul 2020
XMixup: Efficient Transfer Learning with Auxiliary Samples by
  Cross-domain Mixup
XMixup: Efficient Transfer Learning with Auxiliary Samples by Cross-domain Mixup
Xingjian Li
Haoyi Xiong
Haozhe An
Chengzhong Xu
Dejing Dou
46
8
0
20 Jul 2020
Learning latent representations across multiple data domains using
  Lifelong VAEGAN
Learning latent representations across multiple data domains using Lifelong VAEGAN
Fei Ye
A. Bors
SyDaCLL
68
67
0
20 Jul 2020
Drinking from a Firehose: Continual Learning with Web-scale Natural
  Language
Drinking from a Firehose: Continual Learning with Web-scale Natural Language
Hexiang Hu
Ozan Sener
Fei Sha
V. Koltun
CLL
69
27
0
18 Jul 2020
A Biologically Plausible Audio-Visual Integration Model for Continual
  Learning
A Biologically Plausible Audio-Visual Integration Model for Continual Learning
Wenjie Chen
Fengtong Du
Ye Wang
Lihong Cao
CLL
49
0
0
17 Jul 2020
AE-Net: Autonomous Evolution Image Fusion Method Inspired by Human
  Cognitive Mechanism
AE-Net: Autonomous Evolution Image Fusion Method Inspired by Human Cognitive Mechanism
Aiqing Fang
Xinbo Zhao
Jiaqi Yang
Shihao Cao
Yanning Zhang
DiffM
58
3
0
17 Jul 2020
Backdoor Learning: A Survey
Backdoor Learning: A Survey
Yiming Li
Yong Jiang
Zhifeng Li
Shutao Xia
AAML
193
624
0
17 Jul 2020
Neuromodulated Neural Architectures with Local Error Signals for
  Memory-Constrained Online Continual Learning
Neuromodulated Neural Architectures with Local Error Signals for Memory-Constrained Online Continual Learning
Sandeep Madireddy
A. Yanguas-Gil
Prasanna Balaprakash
CLL
44
0
0
16 Jul 2020
SpaceNet: Make Free Space For Continual Learning
SpaceNet: Make Free Space For Continual Learning
Ghada Sokar
Decebal Constantin Mocanu
Mykola Pechenizkiy
CLL
107
81
0
15 Jul 2020
Anatomy of Catastrophic Forgetting: Hidden Representations and Task
  Semantics
Anatomy of Catastrophic Forgetting: Hidden Representations and Task Semantics
V. Ramasesh
Ethan Dyer
M. Raghu
CLL
112
179
0
14 Jul 2020
Lifelong Policy Gradient Learning of Factored Policies for Faster
  Training Without Forgetting
Lifelong Policy Gradient Learning of Factored Policies for Faster Training Without Forgetting
Jorge Armando Mendez Mendez
Boyu Wang
Eric Eaton
CLL
86
38
0
14 Jul 2020
Automated Synthetic-to-Real Generalization
Automated Synthetic-to-Real Generalization
Wuyang Chen
Zhiding Yu
Zhangyang Wang
Anima Anandkumar
91
68
0
14 Jul 2020
Lifelong Learning using Eigentasks: Task Separation, Skill Acquisition,
  and Selective Transfer
Lifelong Learning using Eigentasks: Task Separation, Skill Acquisition, and Selective Transfer
Aswin Raghavan
Jesse Hostetler
Indranil Sur
Abrar Rahman
Ajay Divakaran
CLL
55
7
0
14 Jul 2020
Towards an Interface Description Template for AI-enabled Systems
Towards an Interface Description Template for AI-enabled Systems
Niloofar Shadab
A. Salado
32
2
0
13 Jul 2020
Disentanglement of Color and Shape Representations for Continual
  Learning
Disentanglement of Color and Shape Representations for Continual Learning
David Berga
Marc Masana
Joost van de Weijer
CLL
41
2
0
13 Jul 2020
RATT: Recurrent Attention to Transient Tasks for Continual Image
  Captioning
RATT: Recurrent Attention to Transient Tasks for Continual Image Captioning
Riccardo Del Chiaro
Bartlomiej Twardowski
Andrew D. Bagdanov
Joost van de Weijer
CLLVLM
105
41
0
13 Jul 2020
Bridging Maximum Likelihood and Adversarial Learning via
  $α$-Divergence
Bridging Maximum Likelihood and Adversarial Learning via ααα-Divergence
Miaoyun Zhao
Yulai Cong
Shuyang Dai
Lawrence Carin
GAN
60
10
0
13 Jul 2020
Learning Abstract Models for Strategic Exploration and Fast Reward
  Transfer
Learning Abstract Models for Strategic Exploration and Fast Reward Transfer
Emmy Liu
Ramtin Keramati
Sudarshan Seshadri
Kelvin Guu
Panupong Pasupat
Emma Brunskill
Percy Liang
OffRL
69
6
0
12 Jul 2020
HyperGrid: Efficient Multi-Task Transformers with Grid-wise Decomposable
  Hyper Projections
HyperGrid: Efficient Multi-Task Transformers with Grid-wise Decomposable Hyper Projections
Yi Tay
Zhe Zhao
Dara Bahri
Donald Metzler
Da-Cheng Juan
75
9
0
12 Jul 2020
Batch-level Experience Replay with Review for Continual Learning
Batch-level Experience Replay with Review for Continual Learning
Zheda Mai
Hyunwoo J. Kim
Jihwan Jeong
Scott Sanner
VLMCLL
69
15
0
11 Jul 2020
SeqHAND:RGB-Sequence-Based 3D Hand Pose and Shape Estimation
SeqHAND:RGB-Sequence-Based 3D Hand Pose and Shape Estimation
John Yang
H. Chang
Seungeui Lee
Nojun Kwak
3DH
121
50
0
10 Jul 2020
Graph-Based Continual Learning
Graph-Based Continual Learning
Binh Tang
David S. Matteson
BDLCLL
83
37
0
09 Jul 2020
InfoMax-GAN: Improved Adversarial Image Generation via Information
  Maximization and Contrastive Learning
InfoMax-GAN: Improved Adversarial Image Generation via Information Maximization and Contrastive Learning
Kwot Sin Lee
Ngoc-Trung Tran
Ngai-Man Cheung
GAN
109
69
0
09 Jul 2020
Towards a practical measure of interference for reinforcement learning
Towards a practical measure of interference for reinforcement learning
Vincent Liu
Adam White
Hengshuai Yao
Martha White
49
5
0
07 Jul 2020
Deep Reinforcement Learning and its Neuroscientific Implications
Deep Reinforcement Learning and its Neuroscientific Implications
M. Botvinick
Jane X. Wang
Will Dabney
Kevin J. Miller
Z. Kurth-Nelson
OffRLAI4CE
97
178
0
07 Jul 2020
Continual BERT: Continual Learning for Adaptive Extractive Summarization
  of COVID-19 Literature
Continual BERT: Continual Learning for Adaptive Extractive Summarization of COVID-19 Literature
Jongjin Park
CLL
74
16
0
07 Jul 2020
Graph Neural Networks with Continual Learning for Fake News Detection
  from Social Media
Graph Neural Networks with Continual Learning for Fake News Detection from Social Media
Yi Han
S. Karunasekera
C. Leckie
GNN
131
112
0
07 Jul 2020
Continual Learning in Human Activity Recognition: an Empirical Analysis
  of Regularization
Continual Learning in Human Activity Recognition: an Empirical Analysis of Regularization
Saurav Jha
Martin Schiemer
Juan Ye
CLL
77
13
0
06 Jul 2020
Dynamic memory to alleviate catastrophic forgetting in continuous
  learning settings
Dynamic memory to alleviate catastrophic forgetting in continuous learning settings
J. Hofmanninger
Matthias Perkonigg
J. Brink
Oleg S. Pianykh
Christian Herold
Georg Langs
OODMedIm
83
28
0
06 Jul 2020
FLUID: A Unified Evaluation Framework for Flexible Sequential Data
FLUID: A Unified Evaluation Framework for Flexible Sequential Data
Matthew Wallingford
Aditya Kusupati
Keivan Alizadeh Vahid
Aaron Walsman
Aniruddha Kembhavi
Ali Farhadi
75
2
0
06 Jul 2020
Pseudo-Rehearsal for Continual Learning with Normalizing Flows
Pseudo-Rehearsal for Continual Learning with Normalizing Flows
Jary Pomponi
Simone Scardapane
A. Uncini
62
15
0
05 Jul 2020
On Class Orderings for Incremental Learning
On Class Orderings for Incremental Learning
Marc Masana
Bartlomiej Twardowski
Joost van de Weijer
CLL
70
15
0
04 Jul 2020
RSAC: Regularized Subspace Approximation Classifier for Lightweight
  Continuous Learning
RSAC: Regularized Subspace Approximation Classifier for Lightweight Continuous Learning
Chih-Hsing Ho
Shang-Ho
S. Tsai
CLL
38
0
0
03 Jul 2020
Learn Faster and Forget Slower via Fast and Stable Task Adaptation
Learn Faster and Forget Slower via Fast and Stable Task Adaptation
Farshid Varno
Lucas May Petry
Lisa Di-Jorio
Stan Matwin
CLL
80
2
0
02 Jul 2020
Sequential Domain Adaptation through Elastic Weight Consolidation for
  Sentiment Analysis
Sequential Domain Adaptation through Elastic Weight Consolidation for Sentiment Analysis
Avinash Madasu
Anvesh Rao Vijjini
CLL
67
14
0
02 Jul 2020
Iterative Bounding Box Annotation for Object Detection
Iterative Bounding Box Annotation for Object Detection
Bishwo Adhikari
H. Huttunen
ObjD
69
30
0
02 Jul 2020
Continual Learning: Tackling Catastrophic Forgetting in Deep Neural
  Networks with Replay Processes
Continual Learning: Tackling Catastrophic Forgetting in Deep Neural Networks with Replay Processes
Timothée Lesort
CLL
85
22
0
01 Jul 2020
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