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Achieving Forgetting Prevention and Knowledge Transfer in Continual
  Learning

Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning

5 December 2021
Zixuan Ke
Bing-Quan Liu
Nianzu Ma
Hu Xu
Lei Shu
    CLL
ArXivPDFHTML

Papers citing "Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning"

50 / 72 papers shown
Title
Parameter-Efficient Continual Fine-Tuning: A Survey
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
Hyper-RAG: Combating LLM Hallucinations using Hypergraph-Driven Retrieval-Augmented Generation
Hyper-RAG: Combating LLM Hallucinations using Hypergraph-Driven Retrieval-Augmented Generation
Yifan Feng
Hao Hu
Xingliang Hou
Shiquan Liu
Shihui Ying
S. Du
Han Hu
Yue Gao
37
0
0
30 Mar 2025
Merge then Realign: Simple and Effective Modality-Incremental Continual Learning for Multimodal LLMs
Dingkun Zhang
Shuhan Qi
Xinyu Xiao
Kehai Chen
Xuan Wang
CLL
MoMe
61
0
0
08 Mar 2025
Order-Robust Class Incremental Learning: Graph-Driven Dynamic Similarity Grouping
Order-Robust Class Incremental Learning: Graph-Driven Dynamic Similarity Grouping
Guannan Lai
Yujie Li
Xiangkun Wang
J. Zhang
Tianrui Li
Xin Yang
CLL
44
0
0
27 Feb 2025
Recurrent Knowledge Identification and Fusion for Language Model Continual Learning
Recurrent Knowledge Identification and Fusion for Language Model Continual Learning
Yujie Feng
Xujia Wang
Zexin Lu
Shenghong Fu
Guangyuan Shi
Yongxin Xu
Yasha Wang
Philip S. Yu
Xu Chu
Xiao-Ming Wu
CLL
KELM
41
1
0
22 Feb 2025
Achieving Upper Bound Accuracy of Joint Training in Continual Learning
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
Continual Learning Using a Kernel-Based Method Over Foundation Models
Saleh Momeni
Sahisnu Mazumder
Bing-Quan Liu
CLL
67
1
0
20 Dec 2024
In-context Continual Learning Assisted by an External Continual Learner
In-context Continual Learning Assisted by an External Continual Learner
Saleh Momeni
Sahisnu Mazumder
Zixuan Ke
Bing Liu
CLL
88
0
0
20 Dec 2024
Continual Task Learning through Adaptive Policy Self-Composition
Shengchao Hu
Yuhang Zhou
Ziqing Fan
Jifeng Hu
Li Shen
Ya-Qin Zhang
Dacheng Tao
OffRL
69
0
0
18 Nov 2024
Delta: A Cloud-assisted Data Enrichment Framework for On-Device
  Continual Learning
Delta: A Cloud-assisted Data Enrichment Framework for On-Device Continual Learning
Chen Gong
Zhenzhe Zheng
Fan Wu
Xiaofeng Jia
Guihai Chen
LMTD
FedML
34
2
0
24 Oct 2024
Does RoBERTa Perform Better than BERT in Continual Learning: An
  Attention Sink Perspective
Does RoBERTa Perform Better than BERT in Continual Learning: An Attention Sink Perspective
Xueying Bai
Yifan Sun
Niranjan Balasubramanian
CLL
24
0
0
08 Oct 2024
TaSL: Continual Dialog State Tracking via Task Skill Localization and
  Consolidation
TaSL: Continual Dialog State Tracking via Task Skill Localization and Consolidation
Yujie Feng
Xu Chu
Yongxin Xu
Guangyuan Shi
Bo Liu
Xiao-Ming Wu
MoMe
CLL
32
7
0
19 Aug 2024
Mitigate Negative Transfer with Similarity Heuristic Lifelong Prompt
  Tuning
Mitigate Negative Transfer with Similarity Heuristic Lifelong Prompt Tuning
Chenyuan Wu
Gangwei Jiang
Defu Lian
CLL
23
0
0
18 Jun 2024
Towards Lifelong Learning of Large Language Models: A Survey
Towards Lifelong Learning of Large Language Models: A Survey
Junhao Zheng
Shengjie Qiu
Chengming Shi
Qianli Ma
KELM
CLL
30
14
0
10 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
38
1
0
04 Jun 2024
Parameterizing Federated Continual Learning for Reproducible Research
Parameterizing Federated Continual Learning for Reproducible Research
Bart Cox
Jeroen Galjaard
Aditya Shankar
Jérémie Decouchant
Lydia Y. Chen
FedML
43
0
0
04 Jun 2024
Bridging Neuroscience and AI: Environmental Enrichment as a Model for Forward Knowledge Transfer
Bridging Neuroscience and AI: Environmental Enrichment as a Model for Forward Knowledge Transfer
Rajat Saxena
Bruce L. McNaughton
CLL
53
2
0
12 May 2024
Boosting Large Language Models with Continual Learning for Aspect-based
  Sentiment Analysis
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
A Closer Look at Classification Evaluation Metrics and a Critical
  Reflection of Common Evaluation Practice
A Closer Look at Classification Evaluation Metrics and a Critical Reflection of Common Evaluation Practice
Juri Opitz
14
16
0
25 Apr 2024
Continual Learning of Large Language Models: A Comprehensive Survey
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
63
0
25 Apr 2024
Q-Tuning: Queue-based Prompt Tuning for Lifelong Few-shot Language
  Learning
Q-Tuning: Queue-based Prompt Tuning for Lifelong Few-shot Language Learning
Yanhui Guo
Shaoyuan Xu
Jinmiao Fu
Jia-Wei Liu
Chaosheng Dong
Bryan Wang
VLM
CLL
33
5
0
22 Apr 2024
Continual Learning of Range-Dependent Transmission Loss for Underwater
  Acoustic using Conditional Convolutional Neural Net
Continual Learning of Range-Dependent Transmission Loss for Underwater Acoustic using Conditional Convolutional Neural Net
Indu Kant Deo
Akash Venkateshwaran
R. Jaiman
AI4CE
33
3
0
11 Apr 2024
Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning
Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning
Huiyi Wang
Haodong Lu
Lina Yao
Dong Gong
KELM
CLL
42
8
0
27 Mar 2024
InsCL: A Data-efficient Continual Learning Paradigm for Fine-tuning
  Large Language Models with Instructions
InsCL: A Data-efficient Continual Learning Paradigm for Fine-tuning Large Language Models with Instructions
Yifan Wang
Yafei Liu
Chufan Shi
Haoling Li
Chen Chen
H. Lu
Yujiu Yang
CLL
39
25
0
18 Mar 2024
HOP to the Next Tasks and Domains for Continual Learning in NLP
HOP to the Next Tasks and Domains for Continual Learning in NLP
Umberto Michieli
Mete Ozay
VLM
33
2
0
28 Feb 2024
Speech Translation with Speech Foundation Models and Large Language
  Models: What is There and What is Missing?
Speech Translation with Speech Foundation Models and Large Language Models: What is There and What is Missing?
Marco Gaido
Sara Papi
Matteo Negri
L. Bentivogli
41
12
0
19 Feb 2024
Into the Unknown: Self-Learning Large Language Models
Into the Unknown: Self-Learning Large Language Models
Teddy Ferdinan
Jan Kocoñ
P. Kazienko
30
2
0
14 Feb 2024
EdgeOL: Efficient in-situ Online Learning on Edge Devices
EdgeOL: Efficient in-situ Online Learning on Edge Devices
Sheng R. Li
Geng Yuan
Yawen Wu
Yuezhen Dai
Chao Wu
Alex K. Jones
Jingtong Hu
Yanzhi Wang
Xulong Tang
33
1
0
30 Jan 2024
Dynamic Transformer Architecture for Continual Learning of Multimodal
  Tasks
Dynamic Transformer Architecture for Continual Learning of Multimodal Tasks
Yuliang Cai
Mohammad Rostami
33
4
0
27 Jan 2024
Towards Continual Learning Desiderata via HSIC-Bottleneck
  Orthogonalization and Equiangular Embedding
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
Federated Continual Learning via Knowledge Fusion: A Survey
Federated Continual Learning via Knowledge Fusion: A Survey
Xin Yang
Hao Yu
Xin Gao
Hao Wang
Junbo Zhang
Tianrui Li
FedML
30
31
0
27 Dec 2023
Continual Learning through Networks Splitting and Merging with
  Dreaming-Meta-Weighted Model Fusion
Continual Learning through Networks Splitting and Merging with Dreaming-Meta-Weighted Model Fusion
Yi Sun
Xin Xu
Jian Li
Guanglei Xie
Yifei Shi
Qiang Fang
CLL
MoMe
26
1
0
12 Dec 2023
Continual Learning: Applications and the Road Forward
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
40
44
0
20 Nov 2023
Visually Grounded Continual Language Learning with Selective
  Specialization
Visually Grounded Continual Language Learning with Selective Specialization
Kyra Ahrens
Lennart Bengtson
Jae Hee Lee
Stefan Wermter
19
0
0
24 Oct 2023
CITB: A Benchmark for Continual Instruction Tuning
CITB: A Benchmark for Continual Instruction Tuning
Zihan Zhang
Meng Fang
Ling-Hao Chen
Mohammad-Reza Namazi-Rad
ALM
CLL
44
23
0
23 Oct 2023
Lifelong Sequence Generation with Dynamic Module Expansion and
  Adaptation
Lifelong Sequence Generation with Dynamic Module Expansion and Adaptation
Chengwei Qin
Junwon Lee
Shafiq R. Joty
CLL
43
12
0
15 Oct 2023
Diversifying the Mixture-of-Experts Representation for Language Models
  with Orthogonal Optimizer
Diversifying the Mixture-of-Experts Representation for Language Models with Orthogonal Optimizer
Boan Liu
Liang Ding
Li Shen
Keqin Peng
Yu Cao
Dazhao Cheng
Dacheng Tao
MoE
36
7
0
15 Oct 2023
Sub-network Discovery and Soft-masking for Continual Learning of Mixed
  Tasks
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
Modularity in Deep Learning: A Survey
Modularity in Deep Learning: A Survey
Haozhe Sun
Isabelle Guyon
MoMe
30
2
0
02 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
Continual Learning with Dirichlet Generative-based Rehearsal
Continual Learning with Dirichlet Generative-based Rehearsal
Min Zeng
Wei Xue
Qi-fei Liu
Yi-Ting Guo
CLL
BDL
24
5
0
13 Sep 2023
Challenges and Opportunities of Using Transformer-Based Multi-Task
  Learning in NLP Through ML Lifecycle: A Survey
Challenges and Opportunities of Using Transformer-Based Multi-Task Learning in NLP Through ML Lifecycle: A Survey
Lovre Torbarina
Tin Ferkovic
Lukasz Roguski
Velimir Mihelčić
Bruno Šarlija
Z. Kraljevic
19
5
0
16 Aug 2023
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual
  Learning
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning
Zhenyi Wang
Enneng Yang
Li Shen
Heng-Chiao Huang
KELM
MU
31
47
0
16 Jul 2023
Domain-Agnostic Neural Architecture for Class Incremental Continual
  Learning in Document Processing Platform
Domain-Agnostic Neural Architecture for Class Incremental Continual Learning in Document Processing Platform
Mateusz Wójcik
Witold Ko'sciukiewicz
Mateusz Baran
Tomasz Kajdanowicz
Adam Gonczarek
CLL
17
1
0
11 Jul 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
Complementary Learning Subnetworks for Parameter-Efficient
  Class-Incremental Learning
Complementary Learning Subnetworks for Parameter-Efficient Class-Incremental Learning
Depeng Li
Zhigang Zeng
CLL
25
1
0
21 Jun 2023
Context selectivity with dynamic availability enables lifelong continual
  learning
Context selectivity with dynamic availability enables lifelong continual learning
M. Barry
W. Gerstner
G. Bellec
CLL
11
0
0
02 Jun 2023
Continual Task Allocation in Meta-Policy Network via Sparse Prompting
Continual Task Allocation in Meta-Policy Network via Sparse Prompting
Yijun Yang
Tianyi Zhou
Jing Jiang
Guodong Long
Yuhui Shi
CLL
OffRL
36
9
0
29 May 2023
Teamwork Is Not Always Good: An Empirical Study of Classifier Drift in
  Class-incremental Information Extraction
Teamwork Is Not Always Good: An Empirical Study of Classifier Drift in Class-incremental Information Extraction
Minqian Liu
Lifu Huang
CLL
15
9
0
26 May 2023
Active Continual Learning: On Balancing Knowledge Retention and
  Learnability
Active Continual Learning: On Balancing Knowledge Retention and Learnability
Thuy-Trang Vu
Shahram Khadivi
Mahsa Ghorbanali
Dinh Q. Phung
Gholamreza Haffari
CLL
11
3
0
06 May 2023
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