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2006.05188
Cited By
Optimal Continual Learning has Perfect Memory and is NP-hard
9 June 2020
Jeremias Knoblauch
Hisham Husain
Tom Diethe
CLL
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Papers citing
"Optimal Continual Learning has Perfect Memory and is NP-hard"
50 / 73 papers shown
Title
Boosting-inspired online learning with transfer for railway maintenance
Diogo Risca
Afonso Lourenço
Goreti Marreiros
26
0
0
11 Apr 2025
Sequence Transferability and Task Order Selection in Continual Learning
T. Nguyen
Cuong N. Nguyen
Quang Pham
B. T. Nguyen
Savitha Ramasamy
Xiaoli Li
Cuong V Nguyen
85
0
0
10 Feb 2025
HiDe-PET: Continual Learning via Hierarchical Decomposition of Parameter-Efficient Tuning
Liyuan Wang
Jingyi Xie
Xingxing Zhang
Hang Su
Jun Zhu
CLL
47
5
0
07 Jul 2024
Disentangling and Mitigating the Impact of Task Similarity for Continual Learning
Naoki Hiratani
CLL
40
2
0
30 May 2024
Learning to Continually Learn with the Bayesian Principle
Soochan Lee
Hyeonseong Jeon
Jaehyeon Son
Gunhee Kim
BDL
CLL
40
3
0
29 May 2024
On the Convergence of Continual Learning with Adaptive Methods
Seung Han
Yeon-Jae Kim
Taehyun Cho
Jungwoo Lee
CLL
22
3
0
08 Apr 2024
PARMESAN: Parameter-Free Memory Search and Transduction for Dense Prediction Tasks
Philip Matthias Winter
M. Wimmer
David Major
Dimitrios Lenis
Astrid Berg
Theresa Neubauer
Gaia Romana De Paolis
Johannes Novotny
Sophia Ulonska
Katja Bühler
41
0
0
18 Mar 2024
PAGE: Domain-Incremental Adaptation with Past-Agnostic Generative Replay for Smart Healthcare
Chia-Hao Li
N. Jha
MedIm
48
0
0
13 Mar 2024
On the Diminishing Returns of Width for Continual Learning
E. Guha
V. Lakshman
CLL
39
4
0
11 Mar 2024
Towards Robust Graph Incremental Learning on Evolving Graphs
Junwei Su
Difan Zou
Zijun Zhang
Chuan Wu
CLL
OOD
43
18
0
20 Feb 2024
TinyCL: An Efficient Hardware Architecture for Continual Learning on Autonomous Systems
Eugenio Ressa
Alberto Marchisio
Maurizio Martina
Guido Masera
Mohamed Bennai
48
0
0
15 Feb 2024
Continual Learning on Graphs: A Survey
Zonggui Tian
Duanhao Zhang
Hong-Ning Dai
57
5
0
09 Feb 2024
Infinite dSprites for Disentangled Continual Learning: Separating Memory Edits from Generalization
Sebastian Dziadzio
cCaugatay Yildiz
Gido M. van de Ven
Tomasz Trzciñski
Tinne Tuytelaars
Matthias Bethge
32
1
0
27 Dec 2023
MIM4DD: Mutual Information Maximization for Dataset Distillation
Yuzhang Shang
Zhihang Yuan
Yan Yan
DD
43
14
0
27 Dec 2023
M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy
Hansong Zhang
Shikun Li
Pengju Wang
Dan Zeng
Shiming Ge
DD
29
22
0
26 Dec 2023
Catastrophic Forgetting in Deep Learning: A Comprehensive Taxonomy
Everton L. Aleixo
J. Colonna
Marco Cristo
Everlandio Fernandes
CLL
62
23
0
16 Dec 2023
Continual Learning: Applications and the Road Forward
Eli Verwimp
Rahaf Aljundi
Shai Ben-David
Matthias Bethge
Andrea Cossu
...
Joost van de Weijer
Bing Liu
Vincenzo Lomonaco
Tinne Tuytelaars
Gido M. van de Ven
CLL
48
45
0
20 Nov 2023
Replay-enhanced Continual Reinforcement Learning
Tiantian Zhang
Kevin Zehua Shen
Zichuan Lin
Bo Yuan
Xueqian Wang
Xiu Li
Deheng Ye
CLL
OffRL
46
6
0
20 Nov 2023
Emptying the Ocean with a Spoon: Should We Edit Models?
Yuval Pinter
Michael Elhadad
KELM
27
26
0
18 Oct 2023
Prior-Free Continual Learning with Unlabeled Data in the Wild
Tao Zhuo
Zhiyong Cheng
Hehe Fan
Mohan S. Kankanhalli
VLM
CLL
43
2
0
16 Oct 2023
Hadamard Domain Training with Integers for Class Incremental Quantized Learning
Martin Schiemer
Clemens J. S. Schaefer
Jayden Parker Vap
Mark Horeni
Yu Emma Wang
Juan Ye
Siddharth Joshi
41
2
0
05 Oct 2023
Analysis of the Memorization and Generalization Capabilities of AI Agents: Are Continual Learners Robust?
Minsu Kim
Walid Saad
32
2
0
18 Sep 2023
A Natural Gas Consumption Forecasting System for Continual Learning Scenarios based on Hoeffding Trees with Change Point Detection Mechanism
Radek Svoboda
Sebastian Basterrech
Jedrzej Kozal
Jan Platoš
Michal Wo'zniak
22
3
0
07 Sep 2023
Incorporating Neuro-Inspired Adaptability for Continual Learning in Artificial Intelligence
Liyuan Wang
Xingxing Zhang
Qian Li
Mingtian Zhang
Hang Su
Jun Zhu
Yi Zhong
39
50
0
29 Aug 2023
GRASP: A Rehearsal Policy for Efficient Online Continual Learning
Md Yousuf Harun
Jhair Gallardo
Junyu Chen
Christopher Kanan
CLL
43
9
0
25 Aug 2023
Random Boxes Are Open-world Object Detectors
Yanghao Wang
Zhongqi Yue
Xiansheng Hua
Hanwang Zhang
ObjD
34
17
0
17 Jul 2023
Continual Learning with Strong Experience Replay
Tao Zhuo
Zhiyong Cheng
Zan Gao
Hehe Fan
Mohan S. Kankanhalli
CLL
VLM
45
2
0
23 May 2023
DOCTOR: A Multi-Disease Detection Continual Learning Framework Based on Wearable Medical Sensors
Chia-Hao Li
N. Jha
34
7
0
09 May 2023
The Ideal Continual Learner: An Agent That Never Forgets
Liangzu Peng
Paris V. Giampouras
René Vidal
CLL
112
26
0
29 Apr 2023
On the Limitation and Experience Replay for GNNs in Continual Learning
Junwei Su
Difan Zou
Chuan Wu
CLL
27
4
0
07 Feb 2023
A Comprehensive Survey of Continual Learning: Theory, Method and Application
Liyuan Wang
Xingxing Zhang
Hang Su
Jun Zhu
KELM
CLL
63
611
0
31 Jan 2023
On Sequential Bayesian Inference for Continual Learning
Samuel Kessler
Adam D. Cobb
Tim G. J. Rudner
S. Zohren
Stephen J. Roberts
CLL
BDL
64
6
0
04 Jan 2023
Saliency-Augmented Memory Completion for Continual Learning
Guangji Bai
Chen Ling
Yuyang Gao
Liang Zhao
CLL
45
4
0
26 Dec 2022
Isolation and Impartial Aggregation: A Paradigm of Incremental Learning without Interference
Yabin Wang
Zhiheng Ma
Zhiwu Huang
Yaowei Wang
Zhou Su
Xiaopeng Hong
25
41
0
29 Nov 2022
Harnessing the Power of Explanations for Incremental Training: A LIME-Based Approach
A. Mazumder
Niall Lyons
Ashutosh Pandey
Avik Santra
T. Mohsenin
FAtt
27
1
0
02 Nov 2022
Navigating Memory Construction by Global Pseudo-Task Simulation for Continual Learning
Yejia Liu
Wang Zhu
Shaolei Ren
CLL
29
3
0
16 Oct 2022
Task-Free Continual Learning via Online Discrepancy Distance Learning
Fei Ye
A. Bors
CLL
24
28
0
12 Oct 2022
A Theory for Knowledge Transfer in Continual Learning
Diana Benavides-Prado
Patricia J. Riddle
CLL
34
13
0
14 Aug 2022
A Benchmark and Empirical Analysis for Replay Strategies in Continual Learning
Qihan Yang
Fan Feng
Rosa H. M. Chan
26
9
0
04 Aug 2022
S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for Domain Incremental Learning
Yabin Wang
Zhiwu Huang
Xiaopeng Hong
CLL
VLM
27
213
0
26 Jul 2022
Continual Variational Autoencoder Learning via Online Cooperative Memorization
Fei Ye
A. Bors
CLL
22
17
0
20 Jul 2022
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
37
27
0
15 Jul 2022
Continual Learning with Guarantees via Weight Interval Constraints
Maciej Wołczyk
Karol J. Piczak
Bartosz Wójcik
Lukasz Pustelnik
P. Morawiecki
Jacek Tabor
Tomasz Trzciñski
Przemysław Spurek
26
9
0
16 Jun 2022
A Study of Continual Learning Methods for Q-Learning
Benedikt Bagus
A. Gepperth
CLL
OffRL
30
4
0
08 Jun 2022
Analysis of Catastrophic Forgetting for Random Orthogonal Transformation Tasks in the Overparameterized Regime
Daniel Goldfarb
Paul Hand
CLL
28
10
0
01 Jun 2022
How catastrophic can catastrophic forgetting be in linear regression?
Itay Evron
E. Moroshko
Rachel A. Ward
Nati Srebro
Daniel Soudry
CLL
35
48
0
19 May 2022
Memory Bounds for Continual Learning
Xi Chen
Christos H. Papadimitriou
Binghui Peng
CLL
LRM
29
22
0
22 Apr 2022
DeepCore: A Comprehensive Library for Coreset Selection in Deep Learning
Chengcheng Guo
B. Zhao
Yanbing Bai
OOD
39
134
0
18 Apr 2022
Re-examining Distillation For Continual Object Detection
Eli Verwimp
Kuo Yang
Sarah Parisot
Hong Lanqing
Jingyu Sun
Eduardo Pérez-Pellitero
Matthias De Lange
Tinne Tuytelaars
VLM
30
6
0
04 Apr 2022
CAFE: Learning to Condense Dataset by Aligning Features
Kai Wang
Bo Zhao
Xiangyu Peng
Zheng Zhu
Shuo Yang
Shuo Wang
Guan Huang
Hakan Bilen
Xinchao Wang
Yang You
DD
37
0
0
03 Mar 2022
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