ResearchTrend.AI
  • Papers
  • Communities
  • Organizations
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1612.00796
  4. Cited By
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
Psycholinguistics meets Continual Learning: Measuring Catastrophic
  Forgetting in Visual Question Answering
Psycholinguistics meets Continual Learning: Measuring Catastrophic Forgetting in Visual Question Answering
Claudio Greco
Barbara Plank
Raquel Fernández
Raffaella Bernardi
CLLKELM
80
50
0
10 Jun 2019
Project Thyia: A Forever Gameplayer
Project Thyia: A Forever Gameplayer
Raluca D. Gaina
Simon Lucas
Diego Perez-Liebana
55
5
0
10 Jun 2019
Generative Continual Concept Learning
Generative Continual Concept Learning
Mohammad Rostami
Soheil Kolouri
J. McClelland
Praveen K. Pilly
CLLBDL
60
46
0
10 Jun 2019
Forward and Backward Knowledge Transfer for Sentiment Classification
Forward and Backward Knowledge Transfer for Sentiment Classification
Hao Wang
Bing-Quan Liu
Shuai Wang
Nianzu Ma
Yan Yang
CLL
54
18
0
08 Jun 2019
Localizing Catastrophic Forgetting in Neural Networks
Localizing Catastrophic Forgetting in Neural Networks
Felix Wiewel
Binh Yang
60
11
0
06 Jun 2019
Practical Deep Learning with Bayesian Principles
Practical Deep Learning with Bayesian Principles
Kazuki Osawa
S. Swaroop
Anirudh Jain
Runa Eschenhagen
Richard Turner
Rio Yokota
Mohammad Emtiyaz Khan
BDLUQCV
183
247
0
06 Jun 2019
Uncertainty-guided Continual Learning with Bayesian Neural Networks
Uncertainty-guided Continual Learning with Bayesian Neural Networks
Sayna Ebrahimi
Mohamed Elhoseiny
Trevor Darrell
Marcus Rohrbach
CLLBDL
84
197
0
06 Jun 2019
Topic Sensitive Attention on Generic Corpora Corrects Sense Bias in
  Pretrained Embeddings
Topic Sensitive Attention on Generic Corpora Corrects Sense Bias in Pretrained Embeddings
Vihari Piratla
Sunita Sarawagi
Soumen Chakrabarti
CLL
44
0
0
05 Jun 2019
Lifelong Learning with a Changing Action Set
Lifelong Learning with a Changing Action Set
Yash Chandak
Georgios Theocharous
Chris Nota
Philip S. Thomas
CLLOffRL
90
31
0
05 Jun 2019
A Case for Backward Compatibility for Human-AI Teams
A Case for Backward Compatibility for Human-AI Teams
Gagan Bansal
Besmira Nushi
Ece Kamar
Daniel S. Weld
Walter S. Lasecki
Eric Horvitz
183
8
0
04 Jun 2019
An Adaptive Random Path Selection Approach for Incremental Learning
An Adaptive Random Path Selection Approach for Incremental Learning
Jathushan Rajasegaran
Munawar Hayat
Salman Khan
Fahad Shahbaz Khan
Ling Shao
Ming-Hsuan Yang
ODLCLL
95
24
0
03 Jun 2019
Episodic Memory in Lifelong Language Learning
Episodic Memory in Lifelong Language Learning
Cyprien de Masson dÁutume
Sebastian Ruder
Lingpeng Kong
Dani Yogatama
CLLKELM
161
293
0
03 Jun 2019
Continual learning with hypernetworks
Continual learning with hypernetworks
J. Oswald
Christian Henning
Benjamin Grewe
João Sacramento
CLL
147
363
0
03 Jun 2019
Domain Adaptive Inference for Neural Machine Translation
Domain Adaptive Inference for Neural Machine Translation
Danielle Saunders
Felix Stahlberg
Adria de Gispert
Bill Byrne
AI4CE
74
29
0
02 Jun 2019
Incremental Few-Shot Learning for Pedestrian Attribute Recognition
Incremental Few-Shot Learning for Pedestrian Attribute Recognition
Liuyu Xiang
Xiaoming Jin
Guiguang Ding
Jungong Han
Leida Li
CLL
71
30
0
02 Jun 2019
Large Scale Incremental Learning
Large Scale Incremental Learning
Yue Wu
Yinpeng Chen
Lijuan Wang
Yuancheng Ye
Zicheng Liu
Yandong Guo
Y. Fu
CLL
167
1,264
0
30 May 2019
Meta-Learning Representations for Continual Learning
Meta-Learning Representations for Continual Learning
Khurram Javed
Martha White
KELMCLL
94
322
0
29 May 2019
Limitations of the Empirical Fisher Approximation for Natural Gradient
  Descent
Limitations of the Empirical Fisher Approximation for Natural Gradient Descent
Frederik Kunstner
Lukas Balles
Philipp Hennig
130
219
0
29 May 2019
Lifelong Bayesian Optimization
Lifelong Bayesian Optimization
Yao Zhang
James Jordon
Ahmed Alaa
M. Schaar
128
11
0
29 May 2019
Leveraging Semantics for Incremental Learning in Multi-Relational
  Embeddings
Leveraging Semantics for Incremental Learning in Multi-Relational Embeddings
A. Daruna
Weiyu Liu
Z. Kira
Sonia Chernova
39
0
0
29 May 2019
Unified Probabilistic Deep Continual Learning through Generative Replay
  and Open Set Recognition
Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition
Martin Mundt
Iuliia Pliushch
Sagnik Majumder
Yongwon Hong
Visvanathan Ramesh
UQCVBDL
116
41
0
28 May 2019
Learning Portable Representations for High-Level Planning
Learning Portable Representations for High-Level Planning
Steven D. James
Benjamin Rosman
George Konidaris
SSL
66
40
0
28 May 2019
Single-Net Continual Learning with Progressive Segmented Training (PST)
Single-Net Continual Learning with Progressive Segmented Training (PST)
Xiaocong Du
Gouranga Charan
Frank Liu
Yu Cao
CLL
86
13
0
28 May 2019
AI-GAs: AI-generating algorithms, an alternate paradigm for producing
  general artificial intelligence
AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence
Jeff Clune
148
122
0
27 May 2019
Sequential mastery of multiple visual tasks: Networks naturally learn to
  learn and forget to forget
Sequential mastery of multiple visual tasks: Networks naturally learn to learn and forget to forget
Guy Davidson
Michael C. Mozer
CLL
72
23
0
26 May 2019
Lifelong Neural Predictive Coding: Learning Cumulatively Online without
  Forgetting
Lifelong Neural Predictive Coding: Learning Cumulatively Online without Forgetting
Alexander Ororbia
A. Mali
Daniel Kifer
C. Lee Giles
CLLKELM
94
17
0
25 May 2019
Hebbian-Descent
Hebbian-Descent
Jan Melchior
Laurenz Wiskott
73
8
0
25 May 2019
Continual Reinforcement Learning in 3D Non-stationary Environments
Continual Reinforcement Learning in 3D Non-stationary Environments
Vincenzo Lomonaco
Karan Desai
Eugenio Culurciello
Davide Maltoni
OffRL
66
42
0
24 May 2019
Zero-shot task adaptation by homoiconic meta-mapping
Zero-shot task adaptation by homoiconic meta-mapping
Andrew Kyle Lampinen
James L. McClelland
83
1
0
23 May 2019
MCP: Learning Composable Hierarchical Control with Multiplicative
  Compositional Policies
MCP: Learning Composable Hierarchical Control with Multiplicative Compositional Policies
Xue Bin Peng
Michael Chang
Grace Zhang
Pieter Abbeel
Sergey Levine
103
197
0
23 May 2019
Variational Prototype Replays for Continual Learning
Variational Prototype Replays for Continual Learning
Mengmi Zhang
Tao Wang
J. Lim
Gabriel Kreiman
Jiashi Feng
VLMCLL
84
15
0
23 May 2019
Transferable Multi-Domain State Generator for Task-Oriented Dialogue
  Systems
Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems
Chien-Sheng Wu
Andrea Madotto
Ehsan Hosseini-Asl
Caiming Xiong
R. Socher
Pascale Fung
118
438
0
21 May 2019
Continual Learning in Deep Neural Network by Using a Kalman Optimiser
Continual Learning in Deep Neural Network by Using a Kalman Optimiser
Honglin Li
Shirin Enshaeifar
F. Ganz
Payam Barnaghi
CLLKELM
59
4
0
20 May 2019
Catastrophic forgetting: still a problem for DNNs
Catastrophic forgetting: still a problem for DNNs
Benedikt Pfülb
A. Gepperth
Saad Abdullah
André Kilian
CLL
51
22
0
20 May 2019
Label Mapping Neural Networks with Response Consolidation for Class
  Incremental Learning
Label Mapping Neural Networks with Response Consolidation for Class Incremental Learning
Xu Zhang
Yang Yao
Baile Xu
Lekun Mao
S. Furao
Jian Zhao
Qingwei Lin
CLL
30
2
0
20 May 2019
Learning to Memorize in Neural Task-Oriented Dialogue Systems
Learning to Memorize in Neural Task-Oriented Dialogue Systems
Chien-Sheng Wu
54
6
0
19 May 2019
Budget-Aware Adapters for Multi-Domain Learning
Budget-Aware Adapters for Multi-Domain Learning
Rodrigo Berriel
Stéphane Lathuilière
Moin Nabi
T. Klein
Thiago Oliveira-Santos
N. Sebe
Elisa Ricci
OOD
111
41
0
15 May 2019
Curriculum Learning for Domain Adaptation in Neural Machine Translation
Curriculum Learning for Domain Adaptation in Neural Machine Translation
Xuan Zhang
Pamela Shapiro
Manish Kumar
Paul McNamee
Marine Carpuat
Kevin Duh
103
124
0
14 May 2019
Locally Weighted Regression Pseudo-Rehearsal for Online Learning of
  Vehicle Dynamics
Locally Weighted Regression Pseudo-Rehearsal for Online Learning of Vehicle Dynamics
Grady Williams
Brian Goldfain
James M. Rehg
Evangelos A. Theodorou
61
12
0
13 May 2019
Bayesian Optimized Continual Learning with Attention Mechanism
Bayesian Optimized Continual Learning with Attention Mechanism
Ju Xu
Jin Ma
Zhanxing Zhu
CLLBDL
39
6
0
10 May 2019
Meta-learning of Sequential Strategies
Meta-learning of Sequential Strategies
Pedro A. Ortega
Jane X. Wang
Mark Rowland
Tim Genewein
Z. Kurth-Nelson
...
Yee Whye Teh
H. V. Hasselt
Nando de Freitas
M. Botvinick
Shane Legg
OffRL
125
101
0
08 May 2019
Toybox: A Suite of Environments for Experimental Evaluation of Deep
  Reinforcement Learning
Toybox: A Suite of Environments for Experimental Evaluation of Deep Reinforcement Learning
Emma Tosch
Kaleigh Clary
John Foley
David D. Jensen
OffRL
59
9
0
07 May 2019
Improving and Understanding Variational Continual Learning
Improving and Understanding Variational Continual Learning
S. Swaroop
Cuong V Nguyen
T. Bui
Richard Turner
CLL
73
50
0
06 May 2019
Information asymmetry in KL-regularized RL
Information asymmetry in KL-regularized RL
Alexandre Galashov
Siddhant M. Jayakumar
Leonard Hasenclever
Dhruva Tirumala
Jonathan Richard Schwarz
Guillaume Desjardins
Wojciech M. Czarnecki
Yee Whye Teh
Razvan Pascanu
N. Heess
OffRL
80
104
0
03 May 2019
Continuous Learning for Large-scale Personalized Domain Classification
Continuous Learning for Large-scale Personalized Domain Classification
Han Li
Jihwan Lee
Sidharth Mudgal
R. Sarikaya
Young-Bum Kim
CLL
72
8
0
02 May 2019
Ray Interference: a Source of Plateaus in Deep Reinforcement Learning
Ray Interference: a Source of Plateaus in Deep Reinforcement Learning
Tom Schaul
Diana Borsa
Joseph Modayil
Razvan Pascanu
81
63
0
25 Apr 2019
Facilitating Bayesian Continual Learning by Natural Gradients and Stein
  Gradients
Facilitating Bayesian Continual Learning by Natural Gradients and Stein Gradients
Yu Chen
Tom Diethe
Neil D. Lawrence
CLLBDL
59
13
0
24 Apr 2019
Continual Learning with Self-Organizing Maps
Continual Learning with Self-Organizing Maps
P. Bashivan
Martin Schrimpf
R. Ajemian
Irina Rish
Matthew D Riemer
Y. Tu
CLL
50
13
0
19 Apr 2019
Attentive Single-Tasking of Multiple Tasks
Attentive Single-Tasking of Multiple Tasks
Kevis-Kokitsi Maninis
Ilija Radosavovic
Iasonas Kokkinos
209
251
0
18 Apr 2019
A Multi-Task Learning Framework for Overcoming the Catastrophic
  Forgetting in Automatic Speech Recognition
A Multi-Task Learning Framework for Overcoming the Catastrophic Forgetting in Automatic Speech Recognition
Jiabin Xue
Jiqing Han
Tieran Zheng
Xiang Gao
Jiaxing Guo
CLL
84
9
0
17 Apr 2019
Previous
123...707172...747576
Next