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Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference

29 October 2018

Papers citing "Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference"

37 / 37 papers shown

Title
Dynamic Dual Buffer with Divide-and-Conquer Strategy for Online Continual Learning Congren Dai Huichi Zhou Jiahao Huang Zhenxuan Zhang Fanwen Wang Guang Yang Fei Ye 201 0 0 23 May 2025
CL-CaGAN: Capsule differential adversarial continuous learning for cross-domain hyperspectral anomaly detection Jianing Wang Siying Guo Zheng Hua Runhu Huang Jinyu Hu Maoguo Gong 55 9 0 17 May 2025
Continual Learning With Quasi-Newton Methods Steven Vander Eeckt Hugo Van hamme CLL BDL 112 0 0 25 Mar 2025
Continual Multimodal Contrastive Learning Xiaohao Liu Xiaobo Xia See-Kiong Ng Tat-Seng Chua CLL 203 2 0 19 Mar 2025
CLDyB: Towards Dynamic Benchmarking for Continual Learning with Pre-trained Models Shengzhuang Chen Yikai Liao Xiaoxiao Sun Kede Ma Ying Wei 115 0 0 06 Mar 2025
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 138 4 0 30 Jul 2024
Towards Synchronous Memorizability and Generalizability with Site-Modulated Diffusion Replay for Cross-Site Continual Segmentation Dunyuan Xu Xi Wang Jingyang Zhang Pheng-Ann Heng MedIm CLL 152 0 0 26 Jun 2024
Enhancing Domain Adaptation through Prompt Gradient Alignment Hoang Phan Lam C. Tran Quyen Tran Trung Le 111 1 0 13 Jun 2024
CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for Task-Aware Parameter-Efficient Fine-tuning Yibo Yang Xiaojie Li Zhongzhu Zhou Shuaiwen Leon Song Jianlong Wu Liqiang Nie Guohao Li 77 13 0 07 Jun 2024
An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning Yun Luo Zhen Yang Fandong Meng Yafu Li Jie Zhou Yue Zhang CLL KELM 175 307 0 17 Aug 2023
Optimizing Reusable Knowledge for Continual Learning via Metalearning J. Hurtado Alain Raymond-Sáez Alvaro Soto CLL 75 37 0 09 Jun 2021
Learning Robust Options D. Mankowitz Timothy A. Mann Pierre-Luc Bacon Doina Precup Shie Mannor 49 48 0 09 Feb 2018
Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence Arslan Chaudhry P. Dokania Thalaiyasingam Ajanthan Philip Torr CLL 102 1,141 0 30 Jan 2018
Overcoming catastrophic forgetting with hard attention to the task Joan Serrà Dídac Surís M. Miron Alexandros Karatzoglou CLL 106 1,079 0 04 Jan 2018
A Deeper Look at Experience Replay Shangtong Zhang R. Sutton OffRL VLM 70 275 0 04 Dec 2017
Scalable Recollections for Continual Lifelong Learning Matthew D Riemer Tim Klinger Djallel Bouneffouf M. Franceschini CLL 50 64 0 17 Nov 2017
Routing Networks: Adaptive Selection of Non-linear Functions for Multi-Task Learning Clemens Rosenbaum Tim Klinger Matthew D Riemer 84 246 0 03 Nov 2017
Meta-Learning and Universality: Deep Representations and Gradient Descent can Approximate any Learning Algorithm Chelsea Finn Sergey Levine SSL 93 223 0 31 Oct 2017
Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments Maruan Al-Shedivat Trapit Bansal Yuri Burda Ilya Sutskever Igor Mordatch Pieter Abbeel CLL 66 354 0 10 Oct 2017
Lifelong Learning with Dynamically Expandable Networks Jaehong Yoon Eunho Yang Jeongtae Lee Sung Ju Hwang CLL 121 1,224 0 04 Aug 2017
Gradient Episodic Memory for Continual Learning David Lopez-Paz MarcÁurelio Ranzato VLM CLL 127 2,714 0 26 Jun 2017
Representation Stability as a Regularizer for Improved Text Analytics Transfer Learning Matthew D Riemer Elham Khabiri Richard Goodwin CLL 63 18 0 12 Apr 2017
Overcoming Catastrophic Forgetting by Incremental Moment Matching Sang-Woo Lee Jin-Hwa Kim Jaehyun Jun Jung-Woo Ha Byoung-Tak Zhang CLL 70 677 0 24 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 823 11,909 0 09 Mar 2017
PathNet: Evolution Channels Gradient Descent in Super Neural Networks Chrisantha Fernando Dylan Banarse Charles Blundell Yori Zwols David R Ha Andrei A. Rusu Alexander Pritzel Daan Wierstra 75 880 0 30 Jan 2017
Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer Noam M. Shazeer Azalia Mirhoseini Krzysztof Maziarz Andy Davis Quoc V. Le Geoffrey E. Hinton J. Dean MoE 251 2,653 0 23 Jan 2017
Overcoming catastrophic forgetting in neural networks J. Kirkpatrick Razvan Pascanu Neil C. Rabinowitz J. Veness Guillaume Desjardins ... A. Grabska-Barwinska Demis Hassabis Claudia Clopath D. Kumaran R. Hadsell CLL 369 7,518 0 02 Dec 2016
iCaRL: Incremental Classifier and Representation Learning Sylvestre-Alvise Rebuffi Alexander Kolesnikov G. Sperl Christoph H. Lampert CLL OOD 151 3,761 0 23 Nov 2016
Expert Gate: Lifelong Learning with a Network of Experts Rahaf Aljundi Punarjay Chakravarty Tinne Tuytelaars CLL 77 661 0 18 Nov 2016
The Option-Critic Architecture Pierre-Luc Bacon J. Harb Doina Precup OffRL 64 1,087 0 16 Sep 2016
Learning without Forgetting Zhizhong Li Derek Hoiem CLL OOD SSL 298 4,408 0 29 Jun 2016
Matching Networks for One Shot Learning Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra VLM 373 7,323 0 13 Jun 2016
Deep Multi-task Representation Learning: A Tensor Factorisation Approach Yongxin Yang Timothy M. Hospedales 73 254 0 20 May 2016
Cross-stitch Networks for Multi-task Learning Ishan Misra Abhinav Shrivastava Abhinav Gupta M. Hebert 90 1,348 0 12 Apr 2016
Conditional Computation in Neural Networks for faster models Emmanuel Bengio Pierre-Luc Bacon Joelle Pineau Doina Precup AI4CE 157 321 0 19 Nov 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.9K 150,115 0 22 Dec 2014
POWERPLAY: Training an Increasingly General Problem Solver by Continually Searching for the Simplest Still Unsolvable Problem Jürgen Schmidhuber 97 149 0 22 Dec 2011