Optimal Continual Learning has Perfect Memory and is NP-hard

9 June 2020

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 18 0 0 11 Apr 2025
Sequence Transferability and Task Order Selection in Continual Learning T. Nguyen Cuong N. Nguyen Quang-Cuong Pham B. T. Nguyen Savitha Ramasamy Xiaoli Li Cuong V Nguyen 75 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 4 0 07 Jul 2024
Disentangling and Mitigating the Impact of Task Similarity for Continual Learning Naoki Hiratani CLL 35 2 0 30 May 2024
Learning to Continually Learn with the Bayesian Principle Soochan Lee Hyeonseong Jeon Jaehyeon Son Gunhee Kim BDL CLL 24 3 0 29 May 2024
On the Convergence of Continual Learning with Adaptive Methods Seung Han Yeon-Jae Kim Taehyun Cho Jungwoo Lee CLL 11 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 37 0 0 18 Mar 2024
PAGE: Domain-Incremental Adaptation with Past-Agnostic Generative Replay for Smart Healthcare Chia-Hao Li N. Jha MedIm 35 0 0 13 Mar 2024
On the Diminishing Returns of Width for Continual Learning E. Guha V. Lakshman CLL 31 4 0 11 Mar 2024
Towards Robust Graph Incremental Learning on Evolving Graphs Junwei Su Difan Zou Zijun Zhang Chuan Wu CLL OOD 30 18 0 20 Feb 2024
TinyCL: An Efficient Hardware Architecture for Continual Learning on Autonomous Systems Eugenio Ressa Alberto Marchisio Maurizio Martina Guido Masera Muhammad Shafique 32 0 0 15 Feb 2024
Continual Learning on Graphs: A Survey Zonggui Tian Duanhao Zhang Hong-Ning Dai 42 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 19 1 0 27 Dec 2023
MIM4DD: Mutual Information Maximization for Dataset Distillation Yuzhang Shang Zhihang Yuan Yan Yan DD 35 13 0 27 Dec 2023
M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy Hansong Zhang Shikun Li Pengju Wang Dan Zeng Shiming Ge DD 19 21 0 26 Dec 2023
Catastrophic Forgetting in Deep Learning: A Comprehensive Taxonomy Everton L. Aleixo J. Colonna Marco Cristo Everlandio Fernandes CLL 50 22 0 16 Dec 2023
Continual Learning: Applications and the Road Forward Eli Verwimp Rahaf Aljundi Shai Ben-David Matthias Bethge Andrea Cossu ... J. Weijer Bing Liu Vincenzo Lomonaco Tinne Tuytelaars Gido M. van de Ven CLL 37 44 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 30 6 0 20 Nov 2023
Emptying the Ocean with a Spoon: Should We Edit Models? Yuval Pinter Michael Elhadad KELM 20 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 38 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 36 2 0 05 Oct 2023
Analysis of the Memorization and Generalization Capabilities of AI Agents: Are Continual Learners Robust? Minsu Kim Walid Saad 13 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 14 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 21 49 0 29 Aug 2023
GRASP: A Rehearsal Policy for Efficient Online Continual Learning Md Yousuf Harun Jhair Gallardo Junyu Chen Christopher Kanan CLL 28 9 0 25 Aug 2023
Random Boxes Are Open-world Object Detectors Yanghao Wang Zhongqi Yue Xiansheng Hua Hanwang Zhang ObjD 21 17 0 17 Jul 2023
Continual Learning with Strong Experience Replay Tao Zhuo Zhiyong Cheng Zan Gao Hehe Fan Mohan S. Kankanhalli CLL VLM 37 2 0 23 May 2023
DOCTOR: A Multi-Disease Detection Continual Learning Framework Based on Wearable Medical Sensors Chia-Hao Li N. Jha 24 7 0 09 May 2023
The Ideal Continual Learner: An Agent That Never Forgets Liangzu Peng Paris V. Giampouras René Vidal CLL 106 26 0 29 Apr 2023
On the Limitation and Experience Replay for GNNs in Continual Learning Junwei Su Difan Zou Chuan Wu CLL 14 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 36 598 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 58 5 0 04 Jan 2023
Saliency-Augmented Memory Completion for Continual Learning Guangji Bai Chen Ling Yuyang Gao Liang Zhao CLL 25 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 13 40 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 14 1 0 02 Nov 2022
Navigating Memory Construction by Global Pseudo-Task Simulation for Continual Learning Yejia Liu Wang Zhu Shaolei Ren CLL 22 3 0 16 Oct 2022
Task-Free Continual Learning via Online Discrepancy Distance Learning Fei Ye A. Bors CLL 19 28 0 12 Oct 2022
A Theory for Knowledge Transfer in Continual Learning Diana Benavides-Prado Patricia J. Riddle CLL 27 13 0 14 Aug 2022
A Benchmark and Empirical Analysis for Replay Strategies in Continual Learning Qihan Yang Fan Feng Rosa H. M. Chan 11 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 27 208 0 26 Jul 2022
Continual Variational Autoencoder Learning via Online Cooperative Memorization Fei Ye A. Bors CLL 6 16 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 26 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 P. Spurek 16 9 0 16 Jun 2022
A Study of Continual Learning Methods for Q-Learning Benedikt Bagus A. Gepperth CLL OffRL 20 4 0 08 Jun 2022
Analysis of Catastrophic Forgetting for Random Orthogonal Transformation Tasks in the Overparameterized Regime Daniel Goldfarb Paul Hand CLL 20 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 22 48 0 19 May 2022
Memory Bounds for Continual Learning Xi Chen Christos H. Papadimitriou Binghui Peng CLL LRM 27 22 0 22 Apr 2022
DeepCore: A Comprehensive Library for Coreset Selection in Deep Learning Chengcheng Guo B. Zhao Yanbing Bai OOD 26 131 0 18 Apr 2022
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 17 6 0 04 Apr 2022
CAFE: Learning to Condense Dataset by Aligning Features Kai Wang Bo-Lu Zhao Xiangyu Peng Zheng Zhu Shuo Yang Shuo Wang Guan Huang Hakan Bilen Xinchao Wang Yang You DD 29 0 0 03 Mar 2022