ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2002.08165
  4. Cited By
Using Hindsight to Anchor Past Knowledge in Continual Learning
v1v2 (latest)

Using Hindsight to Anchor Past Knowledge in Continual Learning

AAAI Conference on Artificial Intelligence (AAAI), 2019
19 February 2020
Arslan Chaudhry
Albert Gordo
P. Dokania
Juil Sock
David Lopez-Paz
    KELMCLL
ArXiv (abs)PDFHTML

Papers citing "Using Hindsight to Anchor Past Knowledge in Continual Learning"

50 / 156 papers shown
Continual Knowledge Consolidation LORA for Domain Incremental Learning
Continual Knowledge Consolidation LORA for Domain Incremental Learning
Naeem Paeedeh
Mahardhika Pratama
Weiping Ding
Jimmy Cao
Wolfgang Mayer
Ryszard Kowalczyk
CLLMoMe
232
0
0
17 Oct 2025
Deep Generative Continual Learning using Functional LoRA: FunLoRA
Deep Generative Continual Learning using Functional LoRA: FunLoRA
Victor Enescu
Hichem Sahbi
317
0
0
03 Oct 2025
Source-Free Cross-Domain Continual Learning
Source-Free Cross-Domain Continual Learning
Muhammad Furqon
Mahardhika Pratama
Igor Skrjanc
Lin Liu
Habibullah Habibullah
K. Doğançay
CLLBDL
252
0
0
02 Oct 2025
Embodied Intelligence in Disassembly: Multimodal Perception Cross-validation and Continual Learning in Neuro-Symbolic TAMP
Embodied Intelligence in Disassembly: Multimodal Perception Cross-validation and Continual Learning in Neuro-Symbolic TAMP
Ziwen He
Zhigang Wang
Yanlong Peng
Pengxu Chang
Hong Yang
Ming Chen
160
1
0
14 Sep 2025
BRAIN: Bias-Mitigation Continual Learning Approach to Vision-Brain Understanding
BRAIN: Bias-Mitigation Continual Learning Approach to Vision-Brain Understanding
Xuan-Bac Nguyen
Thanh-Dat Truong
Pawan Sinha
Khoa Luu
CLL
181
0
0
25 Aug 2025
CLIFF: Continual Learning for Incremental Flake Features in 2D Material Identification
CLIFF: Continual Learning for Incremental Flake Features in 2D Material Identification
Sankalp Pandey
Xuan-Bac Nguyen
Nicholas Borys
Hugh Churchill
Khoa Luu
170
0
0
24 Aug 2025
Dynamic Mixture-of-Experts for Incremental Graph Learning
Dynamic Mixture-of-Experts for Incremental Graph Learning
Lecheng Kong
Theodore Vasiloudis
Seongjun Yun
Han Xie
Xiang Song
CLL
213
0
0
13 Aug 2025
Integrating Task-Specific and Universal Adapters for Pre-Trained Model-based Class-Incremental Learning
Integrating Task-Specific and Universal Adapters for Pre-Trained Model-based Class-Incremental Learning
Yan Wang
Da-Wei Zhou
Han-Jia Ye
CLLMoMe
228
6
0
11 Aug 2025
OpenHAIV: A Framework Towards Practical Open-World Learning
OpenHAIV: A Framework Towards Practical Open-World Learning
Xiang Xiang
Yuwen Tan
Zhuo Xu
Jing Ma
Jiaxin Dai
Yifan Liang
Hanlin Li
CLLVLM
211
0
0
10 Aug 2025
AWF: Adaptive Weight Fusion for Enhanced Class Incremental Semantic Segmentation
AWF: Adaptive Weight Fusion for Enhanced Class Incremental Semantic Segmentation
Zechao Sun
Shuying Piao
Weitong Chen
Chang George Dong
Lin Yue
Weitong Chen
Luping Zhou
CLL
379
1
0
01 Jul 2025
Frugal Incremental Generative Modeling using Variational Autoencoders
Frugal Incremental Generative Modeling using Variational Autoencoders
Victor Enescu
Hichem Sahbi
CLL
350
1
0
28 May 2025
CogniSNN: An Exploration to Random Graph Architecture based Spiking Neural Networks with Enhanced Depth-Scalability and Path-Plasticity
CogniSNN: An Exploration to Random Graph Architecture based Spiking Neural Networks with Enhanced Depth-Scalability and Path-Plasticity
Yongsheng Huang
Peibo Duan
Zhipeng Liu
Kai Sun
Changsheng Zhang
Bin Zhang
Mingkun Xu
GNN
323
0
0
09 May 2025
Efficient Continual Learning through Frequency Decomposition and Integration
Efficient Continual Learning through Frequency Decomposition and Integration
Ruiqi Liu
Boyu Diao
Libo Huang
Hangda Liu
Chuanguang Yang
Zhulin An
Yongjun Xu
CLL
352
1
0
28 Mar 2025
Experience Replay Addresses Loss of Plasticity in Continual Learning
Experience Replay Addresses Loss of Plasticity in Continual Learning
Jiuqi Wang
Rohan Chandra
Shangtong Zhang
CLLKELM
440
3
0
25 Mar 2025
ProtoDepth: Unsupervised Continual Depth Completion with Prototypes
ProtoDepth: Unsupervised Continual Depth Completion with PrototypesComputer Vision and Pattern Recognition (CVPR), 2025
Patrick Rim
Hyoungseob Park
Xien Chen
Ziyao Zeng
Younjoon Chung
Alex Wong
CLLMDE
393
9
0
17 Mar 2025
PVBF: A Framework for Mitigating Parameter Variation Imbalance in Online Continual Learning
PVBF: A Framework for Mitigating Parameter Variation Imbalance in Online Continual LearningNeural Networks (NN), 2025
Zelin Tao
Hao Deng
Mingqing Liu
Lijun Zhang
Shengjie Zhao
CLL
447
0
0
25 Feb 2025
RECAST: Reparameterized, Compact weight Adaptation for Sequential Tasks
RECAST: Reparameterized, Compact weight Adaptation for Sequential TasksInternational Conference on Learning Representations (ICLR), 2024
Nazia Tasnim
Bryan A. Plummer
CLLOffRL
550
2
0
25 Nov 2024
COBRA: A Continual Learning Approach to Vision-Brain Understanding
COBRA: A Continual Learning Approach to Vision-Brain Understanding
Xuan-Bac Nguyen
Arabinda Kumar Choudhary
Arabinda Kumar Choudhary
Pawan Sinha
Xin Li
Khoa Luu
CLL
487
4
0
25 Nov 2024
Lifelong Event Detection via Optimal Transport
Lifelong Event Detection via Optimal TransportConference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Viet Dao
Van-Cuong Pham
Quyen Tran
Thanh-Thien Le
Linh Ngo Van
Truong Nguyen
CLL
357
2
0
11 Oct 2024
Continual Learning: Less Forgetting, More OOD Generalization via
  Adaptive Contrastive Replay
Continual Learning: Less Forgetting, More OOD Generalization via Adaptive Contrastive Replay
Hossein Rezaei
Mohammad Sabokrou
CLL
285
1
0
09 Oct 2024
Continual Learning in the Frequency Domain
Continual Learning in the Frequency DomainNeural Information Processing Systems (NeurIPS), 2024
Ruiqi Liu
Boyu Diao
Libo Huang
Zijia An
Zhulin An
Yongjun Xu
VLMCLL
466
24
0
09 Oct 2024
Fair Class-Incremental Learning using Sample Weighting
Fair Class-Incremental Learning using Sample Weighting
Jaeyoung Park
Minsu Kim
Steven Euijong Whang
394
0
0
02 Oct 2024
Prior-free Balanced Replay: Uncertainty-guided Reservoir Sampling for
  Long-Tailed Continual Learning
Prior-free Balanced Replay: Uncertainty-guided Reservoir Sampling for Long-Tailed Continual LearningACM Multimedia (MM), 2024
Lei Liu
Li Liu
Yawen Cui
CLL
268
3
0
27 Aug 2024
An Effective Dynamic Gradient Calibration Method for Continual Learning
An Effective Dynamic Gradient Calibration Method for Continual Learning
Weichen Lin
Jiaxiang Chen
Ru Huang
Huihua Ding
CLL
349
2
0
30 Jul 2024
MoFO: Momentum-Filtered Optimizer for Mitigating Forgetting in LLM Fine-Tuning
MoFO: Momentum-Filtered Optimizer for Mitigating Forgetting in LLM Fine-Tuning
Yupeng Chen
Senmiao Wang
Yushun Zhang
Zhihang Lin
Haozhe Zhang
Tian Ding
Tian Ding
Ruoyu Sun
CLL
457
7
0
30 Jul 2024
Constructing Enhanced Mutual Information for Online Class-Incremental
  Learning
Constructing Enhanced Mutual Information for Online Class-Incremental Learning
Huan Zhang
Fan Lyu
Shenghua Fan
Yujin Zheng
Dingwen Wang
CLL
333
0
0
26 Jul 2024
Learning at a Glance: Towards Interpretable Data-limited Continual
  Semantic Segmentation via Semantic-Invariance Modelling
Learning at a Glance: Towards Interpretable Data-limited Continual Semantic Segmentation via Semantic-Invariance Modelling
Bo Yuan
Danpei Zhao
Z. Shi
VLMCLL
289
13
0
22 Jul 2024
Continual Panoptic Perception: Towards Multi-modal Incremental
  Interpretation of Remote Sensing Images
Continual Panoptic Perception: Towards Multi-modal Incremental Interpretation of Remote Sensing Images
Bo Yuan
Danpei Zhao
Zhuoran Liu
Wentao Li
Tian Li
CLLVLM
445
5
0
19 Jul 2024
Efficient Data-Parallel Continual Learning with Asynchronous Distributed
  Rehearsal Buffers
Efficient Data-Parallel Continual Learning with Asynchronous Distributed Rehearsal Buffers
Thomas Bouvier
Bogdan Nicolae
Hugo Chaugier
Alexandru Costan
Ian Foster
Gabriel Antoniu
237
2
0
05 Jun 2024
Provable Contrastive Continual Learning
Provable Contrastive Continual Learning
Yichen Wen
Zhiquan Tan
Kaipeng Zheng
Chuanlong Xie
Weiran Huang
CLL
269
12
0
29 May 2024
Cross-Domain Continual Learning via CLAMP
Cross-Domain Continual Learning via CLAMP
Weiwei Weng
Mahardhika Pratama
Jie Zhang
Chen Chen
E. Yapp
Savitha Ramasamy
252
4
0
12 May 2024
Few-Shot Class Incremental Learning via Robust Transformer Approach
Few-Shot Class Incremental Learning via Robust Transformer Approach
Naeem Paeedeh
Mahardhika Pratama
S. Wibirama
Wolfgang Mayer
Zehong Cao
Ryszard Kowalczyk
CLL
264
5
0
08 May 2024
Dynamically Anchored Prompting for Task-Imbalanced Continual Learning
Dynamically Anchored Prompting for Task-Imbalanced Continual Learning
Chenxing Hong
Yan Jin
Zhiqi Kang
Yizhou Chen
Mengke Li
Yang Lu
Hanzi Wang
239
6
0
23 Apr 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
310
1
0
22 Apr 2024
QCore: Data-Efficient, On-Device Continual Calibration for Quantized
  Models -- Extended Version
QCore: Data-Efficient, On-Device Continual Calibration for Quantized Models -- Extended Version
David Campos
Bin Yang
Tung Kieu
Miao Zhang
Chenjuan Guo
Christian S. Jensen
323
11
0
22 Apr 2024
Adaptive Memory Replay for Continual Learning
Adaptive Memory Replay for Continual Learning
James Seale Smith
Lazar Valkov
Shaunak Halbe
V. Gutta
Rogerio Feris
Z. Kira
Leonid Karlinsky
272
24
0
18 Apr 2024
On the Convergence of Continual Learning with Adaptive Methods
On the Convergence of Continual Learning with Adaptive Methods
Seung Han
Yeon-Jae Kim
Taehyun Cho
Jungwoo Lee
CLL
403
9
0
08 Apr 2024
Selective Attention-based Modulation for Continual Learning
Selective Attention-based Modulation for Continual Learning
Giovanni Bellitto
Federica Proietto Salanitri
M. Pennisi
Matteo Boschini
Angelo Porrello
Simone Calderara
S. Palazzo
C. Spampinato
CLL
242
1
0
29 Mar 2024
A Unified and General Framework for Continual Learning
A Unified and General Framework for Continual Learning
Zhenyi Wang
Yan Li
Li Shen
Heng-Chiao Huang
CLL
312
41
0
20 Mar 2024
Towards Cross-Domain Continual Learning
Towards Cross-Domain Continual Learning
Marcus Vinícius de Carvalho
Mahardhika Pratama
Jie Zhang
Chua Haoyan
E. Yapp
CLL
246
3
0
19 Feb 2024
Class incremental learning with probability dampening and cascaded gated
  classifier
Class incremental learning with probability dampening and cascaded gated classifier
Jary Pomponi
Alessio Devoto
Simone Scardapane
CLL
371
0
0
02 Feb 2024
Learning Prompt with Distribution-Based Feature Replay for Few-Shot
  Class-Incremental Learning
Learning Prompt with Distribution-Based Feature Replay for Few-Shot Class-Incremental Learning
Zitong Huang
Ze Chen
Zhixing Chen
Erjin Zhou
Xinxing Xu
Rick Siow Mong Goh
Yong-Jin Liu
Wangmeng Zuo
Chun-Mei Feng
CLLVLMBDL
382
17
0
03 Jan 2024
Elastic Multi-Gradient Descent for Parallel Continual Learning
Elastic Multi-Gradient Descent for Parallel Continual Learning
Fan Lyu
Wei Feng
Yuepan Li
Qing Sun
Fanhua Shang
Liang Wan
Liang Wang
273
2
0
02 Jan 2024
Doubly Perturbed Task Free Continual Learning
Doubly Perturbed Task Free Continual Learning
Byung Hyun Lee
Min-hwan Oh
Se Young Chun
435
5
0
20 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
CLLMoMe
318
1
0
12 Dec 2023
Wake-Sleep Consolidated Learning
Wake-Sleep Consolidated Learning
Amelia Sorrenti
Giovanni Bellitto
Federica Proietto Salanitri
M. Pennisi
S. Palazzo
C. Spampinato
CLL
221
7
0
06 Dec 2023
Continual Learning for Image Segmentation with Dynamic Query
Continual Learning for Image Segmentation with Dynamic Query
Weijia Wu
Yuzhong Zhao
Zhuang Li
Lianlei Shan
Hong Zhou
Mike Zheng Shou
VLMCLL
481
33
0
29 Nov 2023
Online Continual Knowledge Learning for Language Models
Online Continual Knowledge Learning for Language Models
Yuhao Wu
Tongjun Shi
Karthick Sharma
Chun Seah
Shuhao Zhang
CLLKELM
334
7
0
16 Nov 2023
Look-Ahead Selective Plasticity for Continual Learning of Visual Tasks
Look-Ahead Selective Plasticity for Continual Learning of Visual Tasks
Rouzbeh Meshkinnejad
Jie Mei
Daniel Lizotte
Y. Mohsenzadeh
SSLCLL
374
4
0
02 Nov 2023
Towards Plastic and Stable Exemplar-Free Incremental Learning: A
  Dual-Learner Framework with Cumulative Parameter Averaging
Towards Plastic and Stable Exemplar-Free Incremental Learning: A Dual-Learner Framework with Cumulative Parameter Averaging
Wenju Sun
Qingyong Li
Wen Wang
Yangli-ao Geng
CLLMoMe
530
3
0
28 Oct 2023
1234
Next
Page 1 of 4