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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
Bin Liu
    VLM
    CLL
    OODD
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Papers citing "A Multi-Head Model for Continual Learning via Out-of-Distribution Replay"

24 / 24 papers shown
Title
H2ST: Hierarchical Two-Sample Tests for Continual Out-of-Distribution Detection
H2ST: Hierarchical Two-Sample Tests for Continual Out-of-Distribution Detection
Yuhang Liu
Wenjie Zhao
Yunhui Guo
OODD
72
0
0
19 Mar 2025
Advancing Prompt-Based Methods for Replay-Independent General Continual Learning
Zhiqi Kang
Liyuan Wang
Xingxing Zhang
Karteek Alahari
CLL
VLM
40
1
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
MoMe
CLL
89
3
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
50
0
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
47
4
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
DiffM
VLM
34
1
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
41
1
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
36
2
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
CML
CLL
31
0
0
15 Feb 2024
Catastrophic Forgetting in Deep Learning: A Comprehensive Taxonomy
Catastrophic Forgetting in Deep Learning: A Comprehensive Taxonomy
Everton L. Aleixo
J. Colonna
Marco Cristo
Everlandio Fernandes
CLL
50
22
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-optimality
Liyuan Wang
Jingyi Xie
Xingxing Zhang
Mingyi Huang
Hang Su
Jun Zhu
CLL
24
79
0
11 Oct 2023
Class Incremental Learning via Likelihood Ratio Based Task Prediction
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
FeCAM: Exploiting the Heterogeneity of Class Distributions in
  Exemplar-Free Continual Learning
FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning
Dipam Goswami
Yuyang Liu
Bartlomiej Twardowski
Joost van de Weijer
CLL
27
52
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
P. Radeva
Joost van de Weijer
OODD
EDL
16
7
0
06 Sep 2023
Learnability and Algorithm for Continual Learning
Learnability and Algorithm for Continual Learning
Gyuhak Kim
Changnan Xiao
Tatsuya Konishi
Bin Liu
CLL
37
24
0
22 Jun 2023
The Ideal Continual Learner: An Agent That Never Forgets
The Ideal Continual Learner: An Agent That Never Forgets
Liangzu Peng
Paris V. Giampouras
René Vidal
CLL
108
26
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 Diseases
Wentao Zhang
Yujun Huang
Tong Zhang
Qingsong Zou
Weishi Zheng
Ruixuan Wang
CLL
MedIm
23
11
0
18 Apr 2023
A Theoretical Study on Solving Continual Learning
A Theoretical Study on Solving Continual Learning
Gyuhak Kim
Changnan Xiao
Tatsuya Konishi
Zixuan Ke
Bin Liu
CLL
24
70
0
04 Nov 2022
AI Autonomy : Self-Initiated Open-World Continual Learning and
  Adaptation
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
Achieving Forgetting Prevention and Knowledge Transfer in Continual
  Learning
Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning
Zixuan Ke
Bing-Quan Liu
Nianzu Ma
Hu Xu
Lei Shu
CLL
192
122
0
05 Dec 2021
Generalized Out-of-Distribution Detection: A Survey
Generalized Out-of-Distribution Detection: A Survey
Jingkang Yang
Kaiyang Zhou
Yixuan Li
Ziwei Liu
185
879
0
21 Oct 2021
Posterior Meta-Replay for Continual Learning
Posterior Meta-Replay for Continual Learning
Christian Henning
Maria R. Cervera
Francesco DÁngelo
J. Oswald
Regina Traber
Benjamin Ehret
Seijin Kobayashi
Benjamin Grewe
João Sacramento
CLL
BDL
51
54
0
01 Mar 2021
Memory-Efficient Semi-Supervised Continual Learning: The World is its
  Own Replay Buffer
Memory-Efficient Semi-Supervised Continual Learning: The World is its Own Replay Buffer
James Smith
Jonathan C. Balloch
Yen-Chang Hsu
Z. Kira
CLL
131
35
0
23 Jan 2021
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
296
39,198
0
01 Sep 2014
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