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Overcoming catastrophic forgetting with hard attention to the task

Overcoming catastrophic forgetting with hard attention to the task

4 January 2018
Joan Serrà
Dídac Surís
M. Miron
Alexandros Karatzoglou
    CLL
ArXivPDFHTML

Papers citing "Overcoming catastrophic forgetting with hard attention to the task"

50 / 203 papers shown
Title
An Exploration of Data Efficiency in Intra-Dataset Task Transfer for
  Dialog Understanding
An Exploration of Data Efficiency in Intra-Dataset Task Transfer for Dialog Understanding
Josiah Ross
Luke Yoffe
Alon Albalak
William Yang Wang
30
0
0
21 Oct 2022
Continual Learning by Modeling Intra-Class Variation
Continual Learning by Modeling Intra-Class Variation
L. Yu
Tianyang Hu
Lanqing Hong
Zhen Liu
Adrian Weller
Weiyang Liu
CLL
48
12
0
11 Oct 2022
Efficient Meta-Learning for Continual Learning with Taylor Expansion
  Approximation
Efficient Meta-Learning for Continual Learning with Taylor Expansion Approximation
Xiaohan Zou
Tong Lin
CLL
21
2
0
03 Oct 2022
Multiple Modes for Continual Learning
Multiple Modes for Continual Learning
Siddhartha Datta
N. Shadbolt
CLL
MoMe
45
2
0
29 Sep 2022
Learn the Time to Learn: Replay Scheduling in Continual Learning
Learn the Time to Learn: Replay Scheduling in Continual Learning
Marcus Klasson
Hedvig Kjellström
Chen Zhang
CLL
21
9
0
18 Sep 2022
A Multi-Head Model for Continual Learning via Out-of-Distribution Replay
A Multi-Head Model for Continual Learning via Out-of-Distribution Replay
Gyuhak Kim
Zixuan Ke
Bin Liu
VLM
CLL
OODD
17
29
0
20 Aug 2022
On the Limitations of Continual Learning for Malware Classification
On the Limitations of Continual Learning for Malware Classification
Mohammad Saidur Rahman
Scott E. Coull
M. Wright
26
13
0
13 Aug 2022
S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for
  Domain Incremental Learning
S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for Domain Incremental Learning
Yabin Wang
Zhiwu Huang
Xiaopeng Hong
CLL
VLM
27
208
0
26 Jul 2022
UC-OWOD: Unknown-Classified Open World Object Detection
UC-OWOD: Unknown-Classified Open World Object Detection
Zhi-zong Wu
Yue Lu
Xingyu Chen
Zhengxing Wu
Liwen Kang
Junzhi Yu
17
55
0
23 Jul 2022
AdaptCL: Adaptive Continual Learning for Tackling Heterogeneity in
  Sequential Datasets
AdaptCL: Adaptive Continual Learning for Tackling Heterogeneity in Sequential Datasets
Yuqing Zhao
Divya Saxena
Jiannong Cao
CLL
18
12
0
22 Jul 2022
Don't Stop Learning: Towards Continual Learning for the CLIP Model
Don't Stop Learning: Towards Continual Learning for the CLIP Model
Yuxuan Ding
Lingqiao Liu
Chunna Tian
Jingyuan Yang
Haoxuan Ding
CLL
VLM
KELM
19
51
0
19 Jul 2022
Incremental Task Learning with Incremental Rank Updates
Incremental Task Learning with Incremental Rank Updates
Rakib Hyder
Ken Shao
Boyu Hou
P. Markopoulos
Ashley Prater-Bennette
M. Salman Asif
CLL
16
13
0
19 Jul 2022
How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on
  Continual Learning and Functional Composition
How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on Continual Learning and Functional Composition
Jorge Armando Mendez Mendez
Eric Eaton
KELM
CLL
29
27
0
15 Jul 2022
E2-AEN: End-to-End Incremental Learning with Adaptively Expandable
  Network
E2-AEN: End-to-End Incremental Learning with Adaptively Expandable Network
Guimei Cao
Zhanzhan Cheng
Yunlu Xu
Duo Li
Shiliang Pu
Yi Niu
Fei Wu
CLL
20
2
0
14 Jul 2022
Reactive Exploration to Cope with Non-Stationarity in Lifelong
  Reinforcement Learning
Reactive Exploration to Cope with Non-Stationarity in Lifelong Reinforcement Learning
C. Steinparz
Thomas Schmied
Fabian Paischer
Marius-Constantin Dinu
Vihang Patil
Angela Bitto-Nemling
Hamid Eghbalzadeh
Sepp Hochreiter
CLL
24
11
0
12 Jul 2022
A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental
  Learning
A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning
Da-Wei Zhou
Qiwen Wang
Han-Jia Ye
De-Chuan Zhan
26
122
0
26 May 2022
Rethinking Task-Incremental Learning Baselines
Rethinking Task-Incremental Learning Baselines
Md. Rejwanul Hossain
P. Saha
T. Chowdhury
Shafin Rahman
Fuad Rahman
Nabeel Mohammed
CLL
27
5
0
23 May 2022
Memory-efficient Reinforcement Learning with Value-based Knowledge
  Consolidation
Memory-efficient Reinforcement Learning with Value-based Knowledge Consolidation
Qingfeng Lan
Yangchen Pan
Jun Luo
A. R. Mahmood
OffRL
24
6
0
22 May 2022
Explain to Not Forget: Defending Against Catastrophic Forgetting with
  XAI
Explain to Not Forget: Defending Against Catastrophic Forgetting with XAI
Sami Ede
Serop Baghdadlian
Leander Weber
A. Nguyen
Dario Zanca
Wojciech Samek
Sebastian Lapuschkin
CLL
27
6
0
04 May 2022
CFA: Constraint-based Finetuning Approach for Generalized Few-Shot
  Object Detection
CFA: Constraint-based Finetuning Approach for Generalized Few-Shot Object Detection
Karim Guirguis
Ahmed Hendawy
George Eskandar
Mohamed Abdelsamad
Matthias Kayser
Jürgen Beyerer
19
15
0
11 Apr 2022
DualPrompt: Complementary Prompting for Rehearsal-free Continual
  Learning
DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning
Zifeng Wang
Zizhao Zhang
Sayna Ebrahimi
Ruoxi Sun
Han Zhang
...
Xiaoqi Ren
Guolong Su
Vincent Perot
Jennifer Dy
Tomas Pfister
CLL
VLM
VPVLM
36
455
0
10 Apr 2022
Re-examining Distillation For Continual Object Detection
Re-examining Distillation For Continual Object Detection
Eli Verwimp
Kuo Yang
Sarah Parisot
Hong Lanqing
Steven G. McDonagh
Eduardo Pérez-Pellitero
Matthias De Lange
Tinne Tuytelaars
VLM
24
6
0
04 Apr 2022
Continual Normalization: Rethinking Batch Normalization for Online
  Continual Learning
Continual Normalization: Rethinking Batch Normalization for Online Continual Learning
Quang-Cuong Pham
Chenghao Liu
S. Hoi
BDL
OnRL
38
57
0
30 Mar 2022
Energy-based Latent Aligner for Incremental Learning
Energy-based Latent Aligner for Incremental Learning
K. J. Joseph
Salman Khan
F. Khan
Rao Muhammad Anwer
V. Balasubramanian
CLL
33
46
0
28 Mar 2022
Meta-attention for ViT-backed Continual Learning
Meta-attention for ViT-backed Continual Learning
Mengqi Xue
Haofei Zhang
Jie Song
Mingli Song
CLL
22
41
0
22 Mar 2022
Modelling continual learning in humans with Hebbian context gating and
  exponentially decaying task signals
Modelling continual learning in humans with Hebbian context gating and exponentially decaying task signals
Timo Flesch
D. G. Nagy
Andrew M. Saxe
Christopher Summerfield
26
34
0
22 Mar 2022
Incremental Few-Shot Learning via Implanting and Compressing
Incremental Few-Shot Learning via Implanting and Compressing
Yiting Li
H. Zhu
Xijia Feng
Zilong Cheng
Jun Ma
Cheng Xiang
P. Vadakkepat
T. Lee
CLL
VLM
21
2
0
19 Mar 2022
AI Autonomy : Self-Initiated Open-World Continual Learning and
  Adaptation
AI Autonomy : Self-Initiated Open-World Continual Learning and Adaptation
Bing-Quan Liu
Sahisnu Mazumder
Eric Robertson
Scott Grigsby
CLL
AI4CE
30
21
0
17 Mar 2022
ConTinTin: Continual Learning from Task Instructions
ConTinTin: Continual Learning from Task Instructions
Wenpeng Yin
Jia Li
Caiming Xiong
CLL
21
29
0
16 Mar 2022
Continual Learning with Invertible Generative Models
Continual Learning with Invertible Generative Models
Jary Pomponi
Simone Scardapane
A. Uncini
BDL
48
4
0
11 Feb 2022
Fortuitous Forgetting in Connectionist Networks
Fortuitous Forgetting in Connectionist Networks
Hattie Zhou
Ankit Vani
Hugo Larochelle
Aaron Courville
CLL
16
42
0
01 Feb 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
26
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
31
6
0
31 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
19
30
0
18 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
38
158
0
08 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
240
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
189
122
0
05 Dec 2021
Non-IID data and Continual Learning processes in Federated Learning: A
  long road ahead
Non-IID data and Continual Learning processes in Federated Learning: A long road ahead
Marcos F. Criado
F. Casado
R. Iglesias
Carlos V. Regueiro
S. Barro
FedML
36
76
0
26 Nov 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
295
0
22 Nov 2021
HCV: Hierarchy-Consistency Verification for Incremental
  Implicitly-Refined Classification
HCV: Hierarchy-Consistency Verification for Incremental Implicitly-Refined Classification
Kai Wang
Xialei Liu
Luis Herranz
Joost van de Weijer
CLL
19
4
0
21 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
29
43
0
15 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
D. Mocanu
Mykola Pechenizkiy
CLL
32
8
0
11 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
90
54
0
01 Oct 2021
DualNet: Continual Learning, Fast and Slow
DualNet: Continual Learning, Fast and Slow
Quang-Cuong Pham
Chenghao Liu
S. Hoi
CLL
71
42
0
01 Oct 2021
Recent Advances of Continual Learning in Computer Vision: An Overview
Recent Advances of Continual Learning in Computer Vision: An Overview
Haoxuan Qu
Hossein Rahmani
Li Xu
Bryan M. Williams
Jun Liu
VLM
CLL
25
73
0
23 Sep 2021
Total Recall: a Customized Continual Learning Method for Neural Semantic
  Parsers
Total Recall: a Customized Continual Learning Method for Neural Semantic Parsers
Zhuang Li
Lizhen Qu
Gholamreza Haffari
CLL
32
15
0
11 Sep 2021
Saliency Guided Experience Packing for Replay in Continual Learning
Saliency Guided Experience Packing for Replay in Continual Learning
Gobinda Saha
Kaushik Roy
VLM
KELM
CLL
94
21
0
10 Sep 2021
Complementary Calibration: Boosting General Continual Learning with
  Collaborative Distillation and Self-Supervision
Complementary Calibration: Boosting General Continual Learning with Collaborative Distillation and Self-Supervision
Zhong Ji
Jin Li
Qiang Wang
Zhongfei Zhang
CLL
25
18
0
03 Sep 2021
Online Continual Learning with Natural Distribution Shifts: An Empirical
  Study with Visual Data
Online Continual Learning with Natural Distribution Shifts: An Empirical Study with Visual Data
Zhipeng Cai
Ozan Sener
V. Koltun
CLL
20
83
0
20 Aug 2021
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