A Theoretical Study on Solving Continual Learning

4 November 2022

Papers citing "A Theoretical Study on Solving Continual Learning"

50 / 52 papers shown

Title
H2ST: Hierarchical Two-Sample Tests for Continual Out-of-Distribution Detection Yuhang Liu Wenjie Zhao Yunhui Guo OODD 72 0 0 19 Mar 2025
A New Benchmark for Few-Shot Class-Incremental Learning: Redefining the Upper Bound Shiwon Kim Dongjun Hwang Sungwon Woo Rita Singh CLL 54 0 0 13 Mar 2025
Improving Open-world Continual Learning under the Constraints of Scarce Labeled Data Heng Chang Xiangkun Wang Xin Yang Marcello Bonsangue Jingyang Zhang Tianrui Li CLL VLM 54 0 0 28 Feb 2025
Exploring Open-world Continual Learning with Knowns-Unknowns Knowledge Transfer Yujie Li Guannan Lai Xin Yang Heng Chang Marcello Bonsangue Tianrui Li CLL VLM 79 0 0 27 Feb 2025
Achieving Upper Bound Accuracy of Joint Training in Continual Learning Saleh Momeni Bing Liu CLL 84 1 0 17 Feb 2025
Continual Learning Using a Kernel-Based Method Over Foundation Models Saleh Momeni Sahisnu Mazumder Bing-Quan Liu CLL 72 1 0 20 Dec 2024
In-context Continual Learning Assisted by an External Continual Learner Saleh Momeni Sahisnu Mazumder Zixuan Ke Bing Liu CLL 96 0 0 20 Dec 2024
CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental Learning Chengyan Liu Linglan Zhao Fan Lyu Kaile Du Fuyuan Hu Tao Zhou CLL 78 0 0 17 Dec 2024
Class Incremental Learning with Task-Specific Batch Normalization and Out-of-Distribution Detection Xuchen Xie Yiqiao Qiu Run Lin Weishi Zheng Ruixuan Wang CLL 50 0 0 01 Nov 2024
Task Confusion and Catastrophic Forgetting in Class-Incremental Learning: A Mathematical Framework for Discriminative and Generative Modelings Milad Khademi Nori Il Kim CLL 44 3 0 28 Oct 2024
Replay-and-Forget-Free Graph Class-Incremental Learning: A Task Profiling and Prompting Approach Chaoxi Niu Guansong Pang Ling-Hao Chen Bing Liu CLL 36 3 0 14 Oct 2024
Buffer-based Gradient Projection for Continual Federated Learning Shenghong Dai Jy-yong Sohn Yicong Chen S. Alam Ravikumar Balakrishnan Suman Banerjee N. Himayat Kangwook Lee FedML 75 2 0 03 Sep 2024
CroMo-Mixup: Augmenting Cross-Model Representations for Continual Self-Supervised Learning Erum Mushtaq D. Yaldiz Yavuz Faruk Bakman Jie Ding Chenyang Tao Dimitrios Dimitriadis A. Avestimehr CLL 39 1 0 16 Jul 2024
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
A Parameter-efficient Language Extension Framework for Multilingual ASR Wei Liu Jingyong Hou Dong Yang Muyong Cao Tan Lee CLL 62 2 0 10 Jun 2024
Mixture of Experts Meets Prompt-Based Continual Learning Minh Le An Nguyen Huy Nguyen Trang Nguyen Trang Pham L. Ngo Nhat Ho CLL 46 7 0 23 May 2024
Mitigating Interference in the Knowledge Continuum through Attention-Guided Incremental Learning Prashant Bhat Bharath Renjith Elahe Arani Bahram Zonooz CLL 43 0 0 22 May 2024
Preparing for Black Swans: The Antifragility Imperative for Machine Learning Ming Jin 36 2 0 18 May 2024
Integrating Present and Past in Unsupervised Continual Learning Yipeng Zhang Laurent Charlin R. Zemel Mengye Ren CLL 37 3 0 29 Apr 2024
IMEX-Reg: Implicit-Explicit Regularization in the Function Space for Continual Learning Prashant Bhat Bharath Renjith Elahe Arani Bahram Zonooz CLL 45 2 0 28 Apr 2024
Continual Learning of Large Language Models: A Comprehensive Survey Haizhou Shi Zihao Xu Hengyi Wang Weiyi Qin Wenyuan Wang Yibin Wang Zifeng Wang Sayna Ebrahimi Hao Wang CLL KELM LRM 46 64 0 25 Apr 2024
On the Diminishing Returns of Width for Continual Learning E. Guha V. Lakshman CLL 31 4 0 11 Mar 2024
Continual Learning and Catastrophic Forgetting Gido M. van de Ven Nicholas Soures Dhireesha Kudithipudi 32 48 0 08 Mar 2024
Balancing the Causal Effects in Class-Incremental Learning Junhao Zheng Ruiyan Wang Chongzhi Zhang Hu Feng Qianli Ma CML CLL 31 0 0 15 Feb 2024
OVOR: OnePrompt with Virtual Outlier Regularization for Rehearsal-Free Class-Incremental Learning Wei-Cheng Huang Chun-Fu Chen Hsiang Hsu VLM 20 11 0 06 Feb 2024
Federated Continual Learning via Knowledge Fusion: A Survey Xin Yang Hao Yu Xin Gao Hao Wang Junbo Zhang Tianrui Li FedML 33 31 0 27 Dec 2023
Continual learning for surface defect segmentation by subnetwork creation and selection Aleksandr Dekhovich Miguel A. Bessa CLL 24 3 0 08 Dec 2023
Efficient Expansion and Gradient Based Task Inference for Replay Free Incremental Learning Soumya Roy Vinay K. Verma Deepak Gupta CLL 34 2 0 02 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 43 44 0 20 Nov 2023
Refined Coreset Selection: Towards Minimal Coreset Size under Model Performance Constraints Xiaobo Xia Jiale Liu Shaokun Zhang Qingyun Wu Hongxin Wei Tongliang Liu 42 9 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 41 7 0 08 Nov 2023
Look At Me, No Replay! SurpriseNet: Anomaly Detection Inspired Class Incremental Learning Anton Lee Yaqian Zhang Heitor Murilo Gomes Albert Bifet Bernhard Pfahringer CLL 8 2 0 30 Oct 2023
A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm Haizhou Shi Hao Wang CLL 34 18 0 18 Oct 2023
Sub-network Discovery and Soft-masking for Continual Learning of Mixed Tasks Zixuan Ke Bing Liu Wenhan Xiong Asli Celikyilmaz Haoran Li CLL 32 5 0 13 Oct 2023
Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality Liyuan Wang Jingyi Xie Xingxing Zhang Mingyi Huang Hang Su Jun Zhu CLL 22 79 0 11 Oct 2023
ImageNet-OOD: Deciphering Modern Out-of-Distribution Detection Algorithms William Yang Byron Zhang Olga Russakovsky OODD 37 13 0 03 Oct 2023
Class Incremental Learning via Likelihood Ratio Based Task Prediction Haowei Lin Yijia Shao W. Qian Ningxin Pan Yiduo Guo Bing-Quan Liu CLL 31 13 0 26 Sep 2023
Continual Evidential Deep Learning for Out-of-Distribution Detection Eduardo Aguilar Bogdan Raducanu P. Radeva Joost van de Weijer OODD EDL 16 7 0 06 Sep 2023
Class Incremental Learning with Self-Supervised Pre-Training and Prototype Learning Wenzhuo Liu Xinjian Wu Fei Zhu Mingming Yu Chuan Wang Cheng-Lin Liu SSL CLL 39 11 0 04 Aug 2023
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning Zhenyi Wang Enneng Yang Li Shen Heng-Chiao Huang KELM MU 34 48 0 16 Jul 2023
Learnability and Algorithm for Continual Learning Gyuhak Kim Changnan Xiao Tatsuya Konishi Bin Liu CLL 37 24 0 22 Jun 2023
Class-Incremental Learning based on Label Generation Yijia Shao Yiduo Guo Dongyan Zhao Bin Liu CLL 24 14 0 22 Jun 2023
Partial Hypernetworks for Continual Learning Hamed Hemati Vincenzo Lomonaco D. Bacciu Damian Borth CLL 21 7 0 19 Jun 2023
Prediction Error-based Classification for Class-Incremental Learning Michal Zajkac Tinne Tuytelaars Gido M. van de Ven CLL 23 8 0 30 May 2023
Dealing with Cross-Task Class Discrimination in Online Continual Learning Yiduo Guo Bing-Quan Liu Dongyan Zhao CLL 26 20 0 24 May 2023
Non-exemplar Class-incremental Learning by Random Auxiliary Classes Augmentation and Mixed Features Kenny Song Quan Xia Guoqiang Liang Zhaoji Chen Yanning Zhang CLL 27 6 0 16 Apr 2023
Continual Pre-training of Language Models Zixuan Ke Yijia Shao Haowei Lin Tatsuya Konishi Gyuhak Kim Bin Liu CLL KELM 22 123 0 07 Feb 2023
A Comprehensive Survey of Continual Learning: Theory, Method and Application Liyuan Wang Xingxing Zhang Hang Su Jun Zhu KELM CLL 38 601 0 31 Jan 2023
Continual Learning of Natural Language Processing Tasks: A Survey Zixuan Ke Bin Liu KELM CLL VLM 26 68 0 23 Nov 2022
AI Autonomy : Self-Initiated Open-World Continual Learning and Adaptation Bing-Quan Liu Sahisnu Mazumder Eric Robertson Scott Grigsby CLL AI4CE 32 21 0 17 Mar 2022