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A Multi-Head Model for Continual Learning via Out-of-Distribution Replay

A Multi-Head Model for Continual Learning via Out-of-Distribution Replay

20 August 2022
Gyuhak Kim
Zixuan Ke
Yinan Han
    VLMCLLOODD
ArXiv (abs)PDFHTML

Papers citing "A Multi-Head Model for Continual Learning via Out-of-Distribution Replay"

21 / 21 papers shown
Learning After Model Deployment
Learning After Model Deployment
Derda Kaymak
Gyuhak Kim
Tomoya Kaichi
Tatsuya Konishi
Bing-Quan Liu
123
0
0
20 Oct 2025
Out of Distribution Detection for Efficient Continual Learning in Quality Prediction for Arc Welding
Out of Distribution Detection for Efficient Continual Learning in Quality Prediction for Arc Welding
Yannik Hahn
Jan Voets
Antonin Koenigsfeld
Hasan Tercan
Tobias Meisen
142
0
0
22 Aug 2025
H2ST: Hierarchical Two-Sample Tests for Continual Out-of-Distribution Detection
H2ST: Hierarchical Two-Sample Tests for Continual Out-of-Distribution DetectionComputer Vision and Pattern Recognition (CVPR), 2025
Yuhang Liu
Wenjie Zhao
Yunhui Guo
OODD
240
2
0
19 Mar 2025
Advancing Prompt-Based Methods for Replay-Independent General Continual LearningInternational Conference on Learning Representations (ICLR), 2025
Zhiqi Kang
Liyuan Wang
Xingxing Zhang
Karteek Alahari
CLLVLM
209
5
0
02 Mar 2025
DESIRE: Dynamic Knowledge Consolidation for Rehearsal-Free Continual
  Learning
DESIRE: Dynamic Knowledge Consolidation for Rehearsal-Free Continual Learning
Haiyang Guo
Fei Zhu
Fanhu Zeng
Bing Liu
Xu-Yao Zhang
MoMeCLL
338
5
0
28 Nov 2024
Class Incremental Learning with Task-Specific Batch Normalization and
  Out-of-Distribution Detection
Class Incremental Learning with Task-Specific Batch Normalization and Out-of-Distribution Detection
Xuchen Xie
Yiqiao Qiu
Run Lin
Weishi Zheng
Ruixuan Wang
CLL
251
1
0
01 Nov 2024
HiDe-PET: Continual Learning via Hierarchical Decomposition of Parameter-Efficient Tuning
HiDe-PET: Continual Learning via Hierarchical Decomposition of Parameter-Efficient Tuning
Liyuan Wang
Jingyi Xie
Xingxing Zhang
Hang Su
Jun Zhu
CLL
313
15
0
07 Jul 2024
CLoG: Benchmarking Continual Learning of Image Generation Models
CLoG: Benchmarking Continual Learning of Image Generation Models
Haotian Zhang
Junting Zhou
Haowei Lin
Hang Ye
Jianhua Zhu
Zihao Wang
Liangcai Gao
Yizhou Wang
Yitao Liang
DiffMVLM
165
4
0
07 Jun 2024
Harnessing Neural Unit Dynamics for Effective and Scalable
  Class-Incremental Learning
Harnessing Neural Unit Dynamics for Effective and Scalable Class-Incremental Learning
Depeng Li
Tianqi Wang
Junwei Chen
Wei Dai
Zhigang Zeng
CLL
206
2
0
04 Jun 2024
Continual Learning in the Presence of Repetition
Continual Learning in the Presence of Repetition
Hamed Hemati
Lorenzo Pellegrini
Xiaotian Duan
Zixuan Zhao
Fangfang Xia
...
Shiji Zhao
Shao-Yuan Li
Sheng-Jun Huang
Vincenzo Lomonaco
Gido M. van de Ven
CLL
270
6
0
07 May 2024
Balancing the Causal Effects in Class-Incremental Learning
Balancing the Causal Effects in Class-Incremental Learning
Junhao Zheng
Ruiyan Wang
Chongzhi Zhang
Hu Feng
Qianli Ma
CMLCLL
298
1
0
15 Feb 2024
Catastrophic Forgetting in Deep Learning: A Comprehensive Taxonomy
Catastrophic Forgetting in Deep Learning: A Comprehensive TaxonomyJournal of the Brazilian Computer Society (JBCS), 2023
Everton L. Aleixo
J. Colonna
Marco Cristo
Everlandio Fernandes
CLL
264
49
0
16 Dec 2023
Hierarchical Decomposition of Prompt-Based Continual Learning:
  Rethinking Obscured Sub-optimality
Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimalityNeural Information Processing Systems (NeurIPS), 2023
Liyuan Wang
Jingyi Xie
Xingxing Zhang
Mingyi Huang
Hang Su
Jun Zhu
CLL
288
132
0
11 Oct 2023
Class Incremental Learning via Likelihood Ratio Based Task Prediction
Class Incremental Learning via Likelihood Ratio Based Task PredictionInternational Conference on Learning Representations (ICLR), 2023
Haowei Lin
Yijia Shao
W. Qian
Ningxin Pan
Yiduo Guo
Bing-Quan Liu
CLL
530
18
0
26 Sep 2023
FeCAM: Exploiting the Heterogeneity of Class Distributions in
  Exemplar-Free Continual Learning
FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual LearningNeural Information Processing Systems (NeurIPS), 2023
Dipam Goswami
Yuyang Liu
Bartlomiej Twardowski
Joost van de Weijer
CLL
385
88
0
25 Sep 2023
Continual Evidential Deep Learning for Out-of-Distribution Detection
Continual Evidential Deep Learning for Out-of-Distribution Detection
Eduardo Aguilar
Bogdan Raducanu
Petia Radeva
Joost van de Weijer
OODDEDL
211
12
0
06 Sep 2023
Learnability and Algorithm for Continual Learning
Learnability and Algorithm for Continual LearningInternational Conference on Machine Learning (ICML), 2023
Gyuhak Kim
Changnan Xiao
Tatsuya Konishi
Yinan Han
CLL
275
35
0
22 Jun 2023
The Ideal Continual Learner: An Agent That Never Forgets
The Ideal Continual Learner: An Agent That Never ForgetsInternational Conference on Machine Learning (ICML), 2023
Liangzu Peng
Paris V. Giampouras
René Vidal
CLL
532
35
0
29 Apr 2023
Adapter Learning in Pretrained Feature Extractor for Continual Learning
  of Diseases
Adapter Learning in Pretrained Feature Extractor for Continual Learning of DiseasesInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
Wentao Zhang
Yujun Huang
Tong Zhang
Qingsong Zou
Weishi Zheng
Ruixuan Wang
CLLMedIm
239
23
0
18 Apr 2023
A Theoretical Study on Solving Continual Learning
A Theoretical Study on Solving Continual LearningNeural Information Processing Systems (NeurIPS), 2022
Gyuhak Kim
Changnan Xiao
Tatsuya Konishi
Zixuan Ke
Yinan Han
CLL
212
91
0
04 Nov 2022
AI Autonomy : Self-Initiated Open-World Continual Learning and
  Adaptation
AI Autonomy : Self-Initiated Open-World Continual Learning and AdaptationThe AI Magazine (AI Mag.), 2022
Bing-Quan Liu
Sahisnu Mazumder
Eric Robertson
Scott Grigsby
CLLAI4CE
323
36
0
17 Mar 2022
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