Learning to Continually Learn

21 February 2020

Jeff Clune

Papers citing "Learning to Continually Learn"

50 / 88 papers shown

Title
Parameter-Efficient Continual Fine-Tuning: A Survey Eric Nuertey Coleman Luigi Quarantiello Ziyue Liu Qinwen Yang Samrat Mukherjee J. Hurtado Vincenzo Lomonaco CLL 29 0 0 18 Apr 2025
Meta-Continual Learning of Neural Fields Seungyoon Woo Junhyeog Yun Gunhee Kim CLL AI4CE 26 1 0 08 Apr 2025
MetaCLBench: Meta Continual Learning Benchmark on Resource-Constrained Edge Devices Sijia Li Young D. Kwon Lik-Hang Lee Pan Hui 34 0 0 31 Mar 2025
Neural networks that overcome classic challenges through practice Kazuki Irie Brenden M. Lake 31 4 0 14 Oct 2024
Mathematical Formalism for Memory Compression in Selective State Space Models Siddhanth Bhat 21 1 0 04 Oct 2024
Mitigating the Stability-Plasticity Dilemma in Adaptive Train Scheduling with Curriculum-Driven Continual DQN Expansion Achref Jaziri Etienne Kunzel Visvanathan Ramesh CLL 45 0 0 19 Aug 2024
MoFO: Momentum-Filtered Optimizer for Mitigating Forgetting in LLM Fine-Tuning Yupeng Chen Senmiao Wang Zhihang Lin Zhihang Lin Yushun Zhang Tian Ding Ruoyu Sun Ruoyu Sun CLL 72 1 0 30 Jul 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
LifeLearner: Hardware-Aware Meta Continual Learning System for Embedded Computing Platforms Young D. Kwon Jagmohan Chauhan Hong Jia Stylianos I. Venieris Cecilia Mascolo 35 11 0 19 Nov 2023
When Meta-Learning Meets Online and Continual Learning: A Survey Jaehyeon Son Soochan Lee Gunhee Kim OOD CLL 32 10 0 09 Nov 2023
Learning to Learn for Few-shot Continual Active Learning Stella Ho Ming Liu Shang Gao Longxiang Gao KELM BDL VLM CLL 9 2 0 07 Nov 2023
Look-Ahead Selective Plasticity for Continual Learning of Visual Tasks Rouzbeh Meshkinnejad Jie Mei Daniel Lizotte Y. Mohsenzadeh SSL CLL 39 3 0 02 Nov 2023
Recasting Continual Learning as Sequence Modeling Soochan Lee Jaehyeon Son Gunhee Kim CLL 18 9 0 18 Oct 2023
Reset It and Forget It: Relearning Last-Layer Weights Improves Continual and Transfer Learning Lapo Frati Neil Traft Jeff Clune Nick Cheney CLL 19 0 0 12 Oct 2023
Adaptive Reorganization of Neural Pathways for Continual Learning with Spiking Neural Networks Bing Han Feifei Zhao Wenxuan Pan Zhaoya Zhao Xianqi Li Qingqun Kong Yi Zeng CLL 19 3 0 18 Sep 2023
Improving Performance in Continual Learning Tasks using Bio-Inspired Architectures Sandeep Madireddy A. Yanguas-Gil Prasanna Balaprakash CLL 11 1 0 08 Aug 2023
Advances and Challenges in Meta-Learning: A Technical Review Anna Vettoruzzo Mohamed-Rafik Bouguelia Joaquin Vanschoren Thorsteinn Rögnvaldsson K. Santosh OffRL 19 70 0 10 Jul 2023
Improving Language Plasticity via Pretraining with Active Forgetting Yihong Chen Kelly Marchisio Roberta Raileanu David Ifeoluwa Adelani Pontus Stenetorp Sebastian Riedel Mikel Artetx KELM AI4CE CLL 28 23 0 03 Jul 2023
ModuleFormer: Modularity Emerges from Mixture-of-Experts Yikang Shen Zheyu Zhang Tianyou Cao Shawn Tan Zhenfang Chen Chuang Gan KELM MoE 25 6 0 07 Jun 2023
Mitigating Catastrophic Forgetting for Few-Shot Spoken Word Classification Through Meta-Learning Ruan van der Merwe Herman Kamper CLL KELM 42 0 0 22 May 2023
Neuromodulation Gated Transformer Kobe Knowles Joshua Bensemann Diana Benavides-Prado Vithya Yogarajan Michael Witbrock Gillian Dobbie Yang Chen 16 0 0 05 May 2023
LSFSL: Leveraging Shape Information in Few-shot Learning Deepan Padmanabhan Shruthi Gowda Elahe Arani Bahram Zonooz 23 6 0 13 Apr 2023
Is forgetting less a good inductive bias for forward transfer? Jiefeng Chen Timothy Nguyen Dilan Görür Arslan Chaudhry CLL 57 14 0 14 Mar 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-device Training: A First Overview on Existing Systems Shuai Zhu Thiemo Voigt Jeonggil Ko Fatemeh Rahimian 29 14 0 01 Dec 2022
Building a Subspace of Policies for Scalable Continual Learning Jean-Baptiste Gaya T. Doan Lucas Page-Caccia Laure Soulier Ludovic Denoyer Roberta Raileanu CLL 29 29 0 18 Nov 2022
Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from Mixture-of-Experts Tao Zhong Zhixiang Chi Li Gu Yang Wang Yuanhao Yu Jingshan Tang OOD 66 29 0 08 Oct 2022
On Neural Consolidation for Transfer in Reinforcement Learning Valentin Guillet Dennis G. Wilson Carlos Aguilar-Melchor Emmanuel Rachelson CLL 6 0 0 05 Oct 2022
Deep learning in a bilateral brain with hemispheric specialization C. Rajagopalan D. Rawlinson E. Goldberg Gideon Kowadlo 19 4 0 09 Sep 2022
Task-Agnostic Learning to Accomplish New Tasks Xianqi Zhang Xingtao Wang Xu Liu Wenrui Wang Xiaopeng Fan Debin Zhao OffRL 80 0 0 09 Sep 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 24 27 0 15 Jul 2022
Short-Term Plasticity Neurons Learning to Learn and Forget Hector Garcia Rodriguez Qinghai Guo Timoleon Moraitis 13 12 0 28 Jun 2022
Learning to learn online with neuromodulated synaptic plasticity in spiking neural networks Samuel Schmidgall Joe Hays 28 3 0 25 Jun 2022
Continual Object Detection: A review of definitions, strategies, and challenges Angelo G. Menezes Gustavo de Moura Cézanne Alves André C. P. L. F. de Carvalho ObjD 55 51 0 30 May 2022
The Effect of Task Ordering in Continual Learning Samuel J. Bell Neil D. Lawrence CLL 46 17 0 26 May 2022
Learning to Modulate Random Weights: Neuromodulation-inspired Neural Networks For Efficient Continual Learning Jinyung Hong Theodore P. Pavlic CLL 23 3 0 08 Apr 2022
Constrained Few-shot Class-incremental Learning Michael Hersche G. Karunaratne G. Cherubini Luca Benini A. Sebastian Abbas Rahimi CLL 24 141 0 30 Mar 2022
Fully Online Meta-Learning Without Task Boundaries Jathushan Rajasegaran Chesea Finn Sergey Levine CLL 12 3 0 01 Feb 2022
Two Sparsities Are Better Than One: Unlocking the Performance Benefits of Sparse-Sparse Networks Kevin Lee Hunter Lawrence Spracklen Subutai Ahmad 21 20 0 27 Dec 2021
Visual Goal-Directed Meta-Learning with Contextual Planning Networks Corban G. Rivera D. Handelman 23 0 0 18 Nov 2021
A Meta-Learned Neuron model for Continual Learning Rodrigue Siry CLL 15 0 0 03 Nov 2021
Context Meta-Reinforcement Learning via Neuromodulation Eseoghene Ben-Iwhiwhu Jeffery Dick Nicholas A. Ketz Praveen K. Pilly Andrea Soltoggio OffRL 25 12 0 30 Oct 2021
Wide Neural Networks Forget Less Catastrophically Seyed Iman Mirzadeh Arslan Chaudhry Dong Yin Huiyi Hu Razvan Pascanu Dilan Görür Mehrdad Farajtabar CLL 11 60 0 21 Oct 2021
Learning Online Visual Invariances for Novel Objects via Supervised and Self-Supervised Training Valerio Biscione J. Bowers 38 13 0 04 Oct 2021
Formalizing the Generalization-Forgetting Trade-off in Continual Learning Krishnan Raghavan Prasanna Balaprakash CLL 54 29 0 28 Sep 2021
Recent Advances of Continual Learning in Computer Vision: An Overview Haoxuan Qu Hossein Rahmani Li Xu Bryan M. Williams Jun Liu VLM CLL 23 73 0 23 Sep 2021
Evolving Decomposed Plasticity Rules for Information-Bottlenecked Meta-Learning Fan Wang Hao Tian Haoyi Xiong Hua-Hong Wu Jie Fu Yang Cao Yu Kang Haifeng Wang AI4CE 15 3 0 08 Sep 2021
Federated Reconnaissance: Efficient, Distributed, Class-Incremental Learning S. Hendryx KC DharmaRaj Bradley L. Walls Clayton T. Morrison CLL FedML 18 16 0 01 Sep 2021
Prototype-Guided Memory Replay for Continual Learning Stella Ho Ming Liu Lan Du Longxiang Gao Yong Xiang CLL 8 30 0 28 Aug 2021
Continual learning under domain transfer with sparse synaptic bursting Shawn L. E. Beaulieu Jeff Clune Nick Cheney CLL OOD 14 1 0 26 Aug 2021