Continual Learning of Context-dependent Processing in Neural Networks

29 September 2018

Papers citing "Continual Learning of Context-dependent Processing in Neural Networks"

50 / 133 papers shown

Title
Mitigating Catastrophic Forgetting in the Incremental Learning of Medical Images Sara Yavari Jacob Furst CLL 53 0 0 28 Apr 2025
Mathematics of Continual Learning Liangzu Peng René Vidal CLL 68 0 0 24 Apr 2025
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
Task-conditioned Ensemble of Expert Models for Continuous Learning Renu Sharma Debasmita Pal Arun Ross OOD KELM 142 0 0 11 Apr 2025
BECAME: BayEsian Continual Learning with Adaptive Model MErging Mei Li Yuxiang Lu Qinyan Dai Suizhi Huang Yue Ding Hongtao Lu CLL MoMe 44 0 0 03 Apr 2025
Stochastic Engrams for Efficient Continual Learning with Binarized Neural Networks Isabelle Aguilar Luis Fernando Herbozo Contreras Omid Kavehei 59 0 0 27 Mar 2025
Feature Calibration enhanced Parameter Synthesis for CLIP-based Class-incremental Learning J. Guo Xiaoguang Zhu Xiaoguang Zhu Lianlong Sun Liangyu Teng Y. Liu Di Li Wei Zhou Liang Song CLL VLM 59 1 0 24 Mar 2025
Global Convergence of Continual Learning on Non-IID Data Fei Zhu Yujing Liu Wenzhuo Liu Zhaoxiang Zhang 42 0 0 24 Mar 2025
LoRA Subtraction for Drift-Resistant Space in Exemplar-Free Continual Learning Xuan Liu Xiaobin Chang CLL 168 0 0 23 Mar 2025
Staying Alive: Online Neural Network Maintenance and Systemic Drift Joshua Edward Hammond Tyler Soderstrom Brian A. Korgel Michael Baldea 38 0 0 22 Mar 2025
Whoever Started the Interference Should End It: Guiding Data-Free Model Merging via Task Vectors Runxi Cheng Feng Xiong Yongxian Wei Wanyun Zhu Chun Yuan MoMe 68 0 0 11 Mar 2025
Go Beyond Your Means: Unlearning with Per-Sample Gradient Orthogonalization Aviv Shamsian E. Shaar Aviv Navon Gal Chechik Ethan Fetaya MU 64 0 0 04 Mar 2025
Achieving Upper Bound Accuracy of Joint Training in Continual Learning Saleh Momeni Bing Liu CLL 84 1 0 17 Feb 2025
Multi-Task Model Merging via Adaptive Weight Disentanglement Feng Xiong Runxi Cheng Wang Chen Zhanqiu Zhang Yiwen Guo Chun Yuan Ruifeng Xu MoMe 99 4 0 10 Jan 2025
Region-Based Optimization in Continual Learning for Audio Deepfake Detection Yujie Chen Jiangyan Yi Cunhang Fan J. Tao Yong Ren ... Hao Gu Jun Xue Chenglong Wang Zhao Lv Xiaohui Zhang 78 0 0 16 Dec 2024
Human-inspired Perspectives: A Survey on AI Long-term Memory Zihong He Weizhe Lin Hao Zheng Fan Zhang Matt Jones Laurence Aitchison X. Xu Miao Liu Per Ola Kristensson Junxiao Shen 77 2 0 01 Nov 2024
Vector Quantization Prompting for Continual Learning L. Jiao Qiuxia Lai Yu LI Qiang Xu VLM CLL 36 3 0 27 Oct 2024
Unsupervised Replay Strategies for Continual Learning with Limited Data Anthony Bazhenov Pahan Dewasurendra G. Krishnan Jean Erik Delanois CLL 19 0 0 21 Oct 2024
Temporal-Difference Variational Continual Learning L. Melo Alessandro Abate Yarin Gal BDL CLL VLM 46 0 0 10 Oct 2024
Brain-inspired continual pre-trained learner via silent synaptic consolidation Xuming Ran Juntao Yao Yusong Wang Mingkun Xu Dianbo Liu AAML CLL 23 0 0 08 Oct 2024
AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models Junfeng Fang Houcheng Jiang Kun Wang Yunshan Ma Shi Jie Xiangnan He Tat-Seng Chua Tat-seng Chua KELM 35 33 0 03 Oct 2024
TSVD: Bridging Theory and Practice in Continual Learning with Pre-trained Models Liangzu Peng Juan Elenter Joshua Agterberg Alejandro Ribeiro René Vidal VLM CLL 44 1 0 01 Oct 2024
Continual Learning of Nonlinear Independent Representations Boyang Sun Ignavier Ng Guangyi Chen Yifan Shen Qirong Ho Kun Zhang OOD CML 45 0 0 11 Aug 2024
Learn to Preserve and Diversify: Parameter-Efficient Group with Orthogonal Regularization for Domain Generalization Jiajun Hu Jian Zhang Lei Qi Yinghuan Shi Yang Gao OOD 33 4 0 21 Jul 2024
Neural Networks Trained by Weight Permutation are Universal Approximators Yongqiang Cai Gaohang Chen Zhonghua Qiao 69 1 0 01 Jul 2024
Visual Prompt Tuning in Null Space for Continual Learning Yue Lu Shizhou Zhang De-Chun Cheng Yinghui Xing N. Wang Peng Wang Yanning Zhang VLM VPVLM CLL 29 8 0 09 Jun 2024
Harnessing Neural Unit Dynamics for Effective and Scalable Class-Incremental Learning Depeng Li Tianqi Wang Junwei Chen Wei Dai Zhigang Zeng CLL 35 1 0 04 Jun 2024
Context Gating in Spiking Neural Networks: Achieving Lifelong Learning through Integration of Local and Global Plasticity Jiangrong Shen Wenyao Ni Qi Xu Gang Pan Huajin Tang CLL 35 1 0 04 Jun 2024
Improving Data-aware and Parameter-aware Robustness for Continual Learning Hanxi Xiao Fan Lyu CLL 27 0 0 27 May 2024
Boosting Large Language Models with Continual Learning for Aspect-based Sentiment Analysis Xuanwen Ding Jie Zhou Liang Dou Qin Chen Yuanbin Wu Chengcai Chen Liang He KELM CLL 37 5 0 09 May 2024
Continual Offline Reinforcement Learning via Diffusion-based Dual Generative Replay Jinmei Liu Wenbin Li Xiangyu Yue Shilin Zhang Chunlin Chen Zhi Wang OffRL DiffM 36 5 0 16 Apr 2024
Data Stream Sampling with Fuzzy Task Boundaries and Noisy Labels Yu-Hsi Chen 23 0 0 07 Apr 2024
Continual All-in-One Adverse Weather Removal with Knowledge Replay on a Unified Network Structure De-Chun Cheng Yanling Ji Dong Gong Yan Li Nannan Wang Junwei Han Dingwen Zhang CLL 23 12 0 12 Mar 2024
Continual Learning and Catastrophic Forgetting Gido M. van de Ven Nicholas Soures Dhireesha Kudithipudi 29 48 0 08 Mar 2024
HOP to the Next Tasks and Domains for Continual Learning in NLP Umberto Michieli Mete Ozay VLM 33 2 0 28 Feb 2024
Hebbian Learning based Orthogonal Projection for Continual Learning of Spiking Neural Networks Mingqing Xiao Qingyan Meng Zongpeng Zhang D.K. He Zhouchen Lin CLL 26 5 0 19 Feb 2024
Maintaining Adversarial Robustness in Continuous Learning Xiaolei Ru Xiaowei Cao Zijia Liu Jack Murdoch Moore Xin-Ya Zhang Xia Zhu Wenjia Wei Gang Yan AAML 19 1 0 17 Feb 2024
Layerwise Proximal Replay: A Proximal Point Method for Online Continual Learning Jason Yoo Yunpeng Liu Frank D. Wood Geoff Pleiss CLL 19 5 0 14 Feb 2024
Towards Continual Learning Desiderata via HSIC-Bottleneck Orthogonalization and Equiangular Embedding Depeng Li Tianqi Wang Junwei Chen Qining Ren Kenji Kawaguchi Zhigang Zeng CLL 43 6 0 17 Jan 2024
Continual Learning in Medical Image Analysis: A Comprehensive Review of Recent Advancements and Future Prospects Pratibha Kumari Joohi Chauhan Afshin Bozorgpour Boqiang Huang Reza Azad Dorit Merhof 55 11 0 28 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
What to Remember: Self-Adaptive Continual Learning for Audio Deepfake Detection Xiaohui Zhang Jiangyan Yi Chenglong Wang Chuyuan Zhang Siding Zeng Jianhua Tao 57 25 0 15 Dec 2023
Learning a Low-Rank Feature Representation: Achieving Better Trade-Off between Stability and Plasticity in Continual Learning Zhenrong Liu Yang Li Yi Gong Yik-Chung Wu CLL 15 1 0 14 Dec 2023
Benchmarking Continual Learning from Cognitive Perspectives Xiaoqian Liu Junge Zhang Mingyi Zhang Peipei Yang 16 0 0 06 Dec 2023
Task adaption by biologically inspired stochastic comodulation Gauthier Boeshertz Caroline Haimerl Cristina Savin 16 0 0 25 Nov 2023
Class Gradient Projection For Continual Learning Cheng Chen Ji Zhang Jingkuan Song Lianli Gao CLL 11 16 0 25 Nov 2023
Multimodal Representation Learning by Alternating Unimodal Adaptation Xiaohui Zhang Jaehong Yoon Mohit Bansal Huaxiu Yao 28 21 0 17 Nov 2023
Combining Past, Present and Future: A Self-Supervised Approach for Class Incremental Learning Xiaoshuang Chen Zhongyi Sun Ke Yan Shouhong Ding Hongtao Lu CLL 30 1 0 15 Nov 2023
Two Complementary Perspectives to Continual Learning: Ask Not Only What to Optimize, But Also How Timm Hess Tinne Tuytelaars Gido M. van de Ven 36 7 0 08 Nov 2023
Towards Plastic and Stable Exemplar-Free Incremental Learning: A Dual-Learner Framework with Cumulative Parameter Averaging Wenju Sun Qingyong Li Wen Wang Yangli-ao Geng CLL MoMe 13 3 0 28 Oct 2023