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Overcoming Catastrophic Forgetting by Incremental Moment Matching

Overcoming Catastrophic Forgetting by Incremental Moment Matching

24 March 2017
Sang-Woo Lee
Jin-Hwa Kim
Jaehyun Jun
Jung-Woo Ha
Byoung-Tak Zhang
    CLL
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Papers citing "Overcoming Catastrophic Forgetting by Incremental Moment Matching"

50 / 104 papers shown
Title
Adapting to Online Distribution Shifts in Deep Learning: A Black-Box Approach
Adapting to Online Distribution Shifts in Deep Learning: A Black-Box Approach
Dheeraj Baby
Boran Han
Shuai Zhang
Cuixiong Hu
Yuyang Wang
Yu-Xiang Wang
OOD
53
0
0
09 Apr 2025
Continual Learning With Quasi-Newton Methods
Continual Learning With Quasi-Newton Methods
Steven Vander Eeckt
Hugo Van hamme
CLL
BDL
69
0
0
25 Mar 2025
Fresh-CL: Feature Realignment through Experts on Hypersphere in Continual Learning
Fresh-CL: Feature Realignment through Experts on Hypersphere in Continual Learning
Zhongyi Zhou
Yaxin Peng
Pin Yi
Minjie Zhu
Chaomin Shen
136
0
0
04 Jan 2025
Drift to Remember
Drift to Remember
Jin Du
Xiaotian Zhang
Hao Shen
Xun Xian
Ganghua Wang
Jiawei Zhang
Yuhong Yang
Na Li
Jia Liu
Jie Ding
CLL
21
0
0
21 Sep 2024
Diffusion-Driven Data Replay: A Novel Approach to Combat Forgetting in
  Federated Class Continual Learning
Diffusion-Driven Data Replay: A Novel Approach to Combat Forgetting in Federated Class Continual Learning
Jinglin Liang
Jin Zhong
Hanlin Gu
Zhongqi Lu
Xingxing Tang
Gang Dai
Shuangping Huang
Lixin Fan
Qiang Yang
DiffM
44
7
0
02 Sep 2024
MOS: Model Synergy for Test-Time Adaptation on LiDAR-Based 3D Object Detection
MOS: Model Synergy for Test-Time Adaptation on LiDAR-Based 3D Object Detection
Zhuoxiao Chen
Junjie Meng
Mahsa Baktashmotlagh
Yonggang Zhang
Zi Huang
Yadan Luo
77
1
0
21 Jun 2024
Towards Effective Time-Aware Language Representation: Exploring Enhanced Temporal Understanding in Language Models
Towards Effective Time-Aware Language Representation: Exploring Enhanced Temporal Understanding in Language Models
Jiexin Wang
Adam Jatowt
Yi Cai
AI4CE
37
1
0
04 Jun 2024
Disentangling and Mitigating the Impact of Task Similarity for Continual
  Learning
Disentangling and Mitigating the Impact of Task Similarity for Continual Learning
Naoki Hiratani
CLL
35
2
0
30 May 2024
Brain-Inspired Continual Learning-Robust Feature Distillation and
  Re-Consolidation for Class Incremental Learning
Brain-Inspired Continual Learning-Robust Feature Distillation and Re-Consolidation for Class Incremental Learning
Hikmat Khan
N. Bouaynaya
Ghulam Rasool
CLL
38
1
0
22 Apr 2024
Continual Learning on Graphs: A Survey
Continual Learning on Graphs: A Survey
Zonggui Tian
Duanhao Zhang
Hong-Ning Dai
47
5
0
09 Feb 2024
Prompt-Based Exemplar Super-Compression and Regeneration for
  Class-Incremental Learning
Prompt-Based Exemplar Super-Compression and Regeneration for Class-Incremental Learning
Ruxiao Duan
Yaoyao Liu
Jieneng Chen
Adam Kortylewski
Alan L. Yuille
DiffM
VLM
30
1
0
30 Nov 2023
What Can AutoML Do For Continual Learning?
What Can AutoML Do For Continual Learning?
Mert Kilickaya
Joaquin Vanschoren
30
1
0
20 Nov 2023
Online Prototype Learning for Online Continual Learning
Online Prototype Learning for Online Continual Learning
Yujie Wei
Jiaxin Ye
Zhizhong Huang
Junping Zhang
Hongming Shan
CLL
OnRL
30
39
0
01 Aug 2023
Decoupled Kullback-Leibler Divergence Loss
Decoupled Kullback-Leibler Divergence Loss
Jiequan Cui
Zhuotao Tian
Zhisheng Zhong
Xiaojuan Qi
Bei Yu
Hanwang Zhang
39
38
0
23 May 2023
Diffusion Theory as a Scalpel: Detecting and Purifying Poisonous
  Dimensions in Pre-trained Language Models Caused by Backdoor or Bias
Diffusion Theory as a Scalpel: Detecting and Purifying Poisonous Dimensions in Pre-trained Language Models Caused by Backdoor or Bias
Zhiyuan Zhang
Deli Chen
Hao Zhou
Fandong Meng
Jie Zhou
Xu Sun
30
5
0
08 May 2023
Task Difficulty Aware Parameter Allocation & Regularization for Lifelong
  Learning
Task Difficulty Aware Parameter Allocation & Regularization for Lifelong Learning
Wenjin Wang
Yunqing Hu
Qianglong Chen
Yin Zhang
CLL
32
13
0
11 Apr 2023
Towards Adversarially Robust Continual Learning
Towards Adversarially Robust Continual Learning
Tao Bai
Chen Chen
Lingjuan Lyu
Jun Zhao
B. Wen
AAML
16
8
0
31 Mar 2023
Streaming LifeLong Learning With Any-Time Inference
Streaming LifeLong Learning With Any-Time Inference
S. Banerjee
Vinay K. Verma
Vinay P. Namboodiri
CLL
27
3
0
27 Jan 2023
A Distinct Unsupervised Reference Model From The Environment Helps
  Continual Learning
A Distinct Unsupervised Reference Model From The Environment Helps Continual Learning
Seyyed Amirhossein Ameli Kalkhoran
Mohammadamin Banayeeanzade
Mahdi Samiei
M. Baghshah
BDL
CLL
23
0
0
11 Jan 2023
Sample-Efficient Unsupervised Domain Adaptation of Speech Recognition
  Systems A case study for Modern Greek
Sample-Efficient Unsupervised Domain Adaptation of Speech Recognition Systems A case study for Modern Greek
Georgios Paraskevopoulos
Theodoros Kouzelis
Georgios Rouvalis
Athanasios Katsamanis
V. Katsouros
Alexandros Potamianos
VLM
25
7
0
31 Dec 2022
Bridging Images and Videos: A Simple Learning Framework for Large
  Vocabulary Video Object Detection
Bridging Images and Videos: A Simple Learning Framework for Large Vocabulary Video Object Detection
Sanghyun Woo
Kwanyong Park
Seoung Wug Oh
In So Kweon
Joon-Young Lee
VLM
VOS
25
6
0
20 Dec 2022
Progressive Learning without Forgetting
Progressive Learning without Forgetting
Tao Feng
Hangjie Yuan
Mang Wang
Ziyuan Huang
Ang Bian
Jianzhou Zhang
CLL
KELM
44
4
0
28 Nov 2022
Overcoming Catastrophic Forgetting by XAI
Overcoming Catastrophic Forgetting by XAI
Giang Nguyen
18
0
0
25 Nov 2022
CL-CrossVQA: A Continual Learning Benchmark for Cross-Domain Visual
  Question Answering
CL-CrossVQA: A Continual Learning Benchmark for Cross-Domain Visual Question Answering
Yao Zhang
Haokun Chen
A. Frikha
Yezi Yang
Denis Krompass
Gengyuan Zhang
Jindong Gu
Volker Tresp
VLM
LRM
16
7
0
19 Nov 2022
Simulation-Based Parallel Training
Simulation-Based Parallel Training
Lucas Meyer
Alejandro Ribés
Bruno Raffin
AI4CE
23
2
0
08 Nov 2022
Weight Averaging: A Simple Yet Effective Method to Overcome Catastrophic
  Forgetting in Automatic Speech Recognition
Weight Averaging: A Simple Yet Effective Method to Overcome Catastrophic Forgetting in Automatic Speech Recognition
Steven Vander Eeckt
Hugo Van hamme
CLL
MoMe
58
14
0
27 Oct 2022
Grow and Merge: A Unified Framework for Continuous Categories Discovery
Grow and Merge: A Unified Framework for Continuous Categories Discovery
Xinwei Zhang
Jianwen Jiang
Yutong Feng
Zhi-Fan Wu
Xibin Zhao
Hai Wan
Mingqian Tang
Rong Jin
Yue Gao
CLL
38
29
0
09 Oct 2022
Multi-domain Learning for Updating Face Anti-spoofing Models
Multi-domain Learning for Updating Face Anti-spoofing Models
Xiao Guo
Yaojie Liu
Anil Jain
Xiaoming Liu
CLL
CVBM
18
30
0
23 Aug 2022
S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for
  Domain Incremental Learning
S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for Domain Incremental Learning
Yabin Wang
Zhiwu Huang
Xiaopeng Hong
CLL
VLM
27
208
0
26 Jul 2022
Don't Stop Learning: Towards Continual Learning for the CLIP Model
Don't Stop Learning: Towards Continual Learning for the CLIP Model
Yuxuan Ding
Lingqiao Liu
Chunna Tian
Jingyuan Yang
Haoxuan Ding
CLL
VLM
KELM
19
51
0
19 Jul 2022
Reactive Exploration to Cope with Non-Stationarity in Lifelong
  Reinforcement Learning
Reactive Exploration to Cope with Non-Stationarity in Lifelong Reinforcement Learning
C. Steinparz
Thomas Schmied
Fabian Paischer
Marius-Constantin Dinu
Vihang Patil
Angela Bitto-Nemling
Hamid Eghbalzadeh
Sepp Hochreiter
CLL
24
11
0
12 Jul 2022
On-device Synaptic Memory Consolidation using Fowler-Nordheim
  Quantum-tunneling
On-device Synaptic Memory Consolidation using Fowler-Nordheim Quantum-tunneling
Mustafizur Rahman
Subhankar Bose
S. Chakrabartty
19
3
0
27 Jun 2022
A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental
  Learning
A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning
Da-Wei Zhou
Qiwen Wang
Han-Jia Ye
De-Chuan Zhan
26
122
0
26 May 2022
Enhancing Continual Learning with Global Prototypes: Counteracting
  Negative Representation Drift
Enhancing Continual Learning with Global Prototypes: Counteracting Negative Representation Drift
Xueying Bai
Jinghuan Shang
Yifan Sun
Niranjan Balasubramanian
CLL
35
1
0
24 May 2022
Exploring the structure-property relations of thin-walled, 2D extruded
  lattices using neural networks
Exploring the structure-property relations of thin-walled, 2D extruded lattices using neural networks
Junyan He
Shashank Kushwaha
Diab Abueidda
I. Jasiuk
9
22
0
13 May 2022
Meta-attention for ViT-backed Continual Learning
Meta-attention for ViT-backed Continual Learning
Mengqi Xue
Haofei Zhang
Jie Song
Mingli Song
CLL
22
41
0
22 Mar 2022
Incremental Few-Shot Learning via Implanting and Compressing
Incremental Few-Shot Learning via Implanting and Compressing
Yiting Li
H. Zhu
Xijia Feng
Zilong Cheng
Jun Ma
Cheng Xiang
P. Vadakkepat
T. Lee
CLL
VLM
21
2
0
19 Mar 2022
Deep Class Incremental Learning from Decentralized Data
Deep Class Incremental Learning from Decentralized Data
Xiaohan Zhang
Songlin Dong
Jinjie Chen
Qiaoling Tian
Yihong Gong
Xiaopeng Hong
CLL
23
11
0
11 Mar 2022
Online Deep Learning based on Auto-Encoder
Online Deep Learning based on Auto-Encoder
Siyun Zhang
Jian-wei Liu
Xin Zuo
Run-kun Lu
Siming Lian
30
6
0
19 Jan 2022
The CLEAR Benchmark: Continual LEArning on Real-World Imagery
The CLEAR Benchmark: Continual LEArning on Real-World Imagery
Zhiqiu Lin
Jia Shi
Deepak Pathak
Deva Ramanan
CLL
VLM
145
91
0
17 Jan 2022
Exemplar-free Class Incremental Learning via Discriminative and
  Comparable One-class Classifiers
Exemplar-free Class Incremental Learning via Discriminative and Comparable One-class Classifiers
Wenju Sun
Qingyong Li
Jing Zhang
Danyu Wang
Wen Wang
Yangli-ao Geng
BDL
24
3
0
05 Jan 2022
Generative Kernel Continual learning
Generative Kernel Continual learning
Mohammad Mahdi Derakhshani
Xiantong Zhen
Ling Shao
Cees G. M. Snoek
BDL
VLM
33
0
0
26 Dec 2021
Continual Learning with Knowledge Transfer for Sentiment Classification
Continual Learning with Knowledge Transfer for Sentiment Classification
Zixuan Ke
Bing-Quan Liu
Hao Wang
Lei Shu
CLL
19
30
0
18 Dec 2021
Adapting BERT for Continual Learning of a Sequence of Aspect Sentiment
  Classification Tasks
Adapting BERT for Continual Learning of a Sequence of Aspect Sentiment Classification Tasks
Zixuan Ke
Hu Xu
Bing-Quan Liu
CLL
240
83
0
06 Dec 2021
CLASSIC: Continual and Contrastive Learning of Aspect Sentiment
  Classification Tasks
CLASSIC: Continual and Contrastive Learning of Aspect Sentiment Classification Tasks
Zixuan Ke
Bing-Quan Liu
Hu Xu
Lei Shu
CLL
31
55
0
05 Dec 2021
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
189
122
0
05 Dec 2021
Exploring System Performance of Continual Learning for Mobile and
  Embedded Sensing Applications
Exploring System Performance of Continual Learning for Mobile and Embedded Sensing Applications
Young D. Kwon
Jagmohan Chauhan
Abhishek Kumar
Pan Hui
Cecilia Mascolo
CLL
HAI
28
32
0
25 Oct 2021
HCV: Hierarchy-Consistency Verification for Incremental
  Implicitly-Refined Classification
HCV: Hierarchy-Consistency Verification for Incremental Implicitly-Refined Classification
Kai Wang
Xialei Liu
Luis Herranz
Joost van de Weijer
CLL
19
4
0
21 Oct 2021
GROWN: GRow Only When Necessary for Continual Learning
GROWN: GRow Only When Necessary for Continual Learning
Li Yang
Sen Lin
Junshan Zhang
Deliang Fan
CLL
28
11
0
03 Oct 2021
Recent Advances of Continual Learning in Computer Vision: An Overview
Recent Advances of Continual Learning in Computer Vision: An Overview
Haoxuan Qu
Hossein Rahmani
Li Xu
Bryan M. Williams
Jun Liu
VLM
CLL
25
73
0
23 Sep 2021
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