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Learning without Forgetting
v1v2v3 (latest)

Learning without Forgetting

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2016
29 June 2016
Zhizhong Li
Derek Hoiem
    CLLOODSSL
ArXiv (abs)PDFHTML

Papers citing "Learning without Forgetting"

50 / 2,447 papers shown
Incremental Learning with Repetition via Pseudo-Feature Projection
Incremental Learning with Repetition via Pseudo-Feature Projection
Benedikt Tscheschner
Eduardo Veas
Marc Masana
CLL
170
0
0
27 Feb 2025
Exploring Open-world Continual Learning with Knowns-Unknowns Knowledge Transfer
Exploring Open-world Continual Learning with Knowns-Unknowns Knowledge Transfer
Yujie Li
Guannan Lai
Xin Yang
Yongbin Li
Marcello Bonsangue
Tianrui Li
CLLVLM
393
2
0
27 Feb 2025
Model Adaptation: Unsupervised Domain Adaptation without Source Data
Model Adaptation: Unsupervised Domain Adaptation without Source DataComputer Vision and Pattern Recognition (CVPR), 2020
Rui Li
Qianfen Jiao
Wenming Cao
Hau-San Wong
Si Wu
OOD
755
562
0
26 Feb 2025
C-LoRA: Continual Low-Rank Adaptation for Pre-trained Models
C-LoRA: Continual Low-Rank Adaptation for Pre-trained Models
Xin Zhang
Liang Bai
Xian Yang
Jiye Liang
CLL
478
3
0
25 Feb 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
382
0
0
25 Feb 2025
SECURA: Sigmoid-Enhanced CUR Decomposition with Uninterrupted Retention and Low-Rank Adaptation in Large Language Models
SECURA: Sigmoid-Enhanced CUR Decomposition with Uninterrupted Retention and Low-Rank Adaptation in Large Language Models
Yuxuan Zhang
CLLALM
513
1
0
25 Feb 2025
CLIMB-3D: Continual Learning for Imbalanced 3D Instance Segmentation
CLIMB-3D: Continual Learning for Imbalanced 3D Instance Segmentation
Vishal Thengane
Jean Lahoud
Hisham Cholakkal
Rao Muhammad Anwer
L. Yin
Xiatian Zhu
Salman Khan
CLL
1.1K
0
0
24 Feb 2025
CND-IDS: Continual Novelty Detection for Intrusion Detection Systems
CND-IDS: Continual Novelty Detection for Intrusion Detection SystemsDesign Automation Conference (DAC), 2025
Sean Fuhrman
Onat Gungor
T. Rosing
AAML
287
3
0
21 Feb 2025
Accurate Forgetting for Heterogeneous Federated Continual Learning
Accurate Forgetting for Heterogeneous Federated Continual LearningInternational Conference on Learning Representations (ICLR), 2025
Abudukelimu Wuerkaixi
Sen Cui
J.N. Zhang
Kunda Yan
Bo Han
Gang Niu
Lei Fang
Changshui Zhang
Masashi Sugiyama
500
21
0
20 Feb 2025
Multi-Attribute Steering of Language Models via Targeted Intervention
Multi-Attribute Steering of Language Models via Targeted InterventionAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Duy Nguyen
Archiki Prasad
Elias Stengel-Eskin
Joey Tianyi Zhou
LLMSV
394
18
0
18 Feb 2025
ConSense: Continually Sensing Human Activity with WiFi via Growing and Picking
ConSense: Continually Sensing Human Activity with WiFi via Growing and PickingAAAI Conference on Artificial Intelligence (AAAI), 2025
Rong Li
Tao Deng
Siwei Feng
Mingjie Sun
Juncheng Jia
CLL
259
4
0
18 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
463
1
0
17 Feb 2025
Ten Challenging Problems in Federated Foundation Models
Ten Challenging Problems in Federated Foundation ModelsIEEE Transactions on Knowledge and Data Engineering (TKDE), 2025
Tao Fan
Hanlin Gu
Xuemei Cao
Chee Seng Chan
Qian Chen
...
Yu Zhang
Xiaojin Zhang
Zhenzhe Zheng
Lixin Fan
Qiang Yang
FedML
569
34
0
14 Feb 2025
Wasserstein distributional adversarial training for deep neural networks
Wasserstein distributional adversarial training for deep neural networks
Xingjian Bai
Guangyi He
Yifan Jiang
Jan Obloj
OOD
380
3
0
13 Feb 2025
Analysis of Overparameterization in Continual Learning under a Linear Model
Analysis of Overparameterization in Continual Learning under a Linear Model
Daniel Goldfarb
Paul Hand
CLL
224
2
0
11 Feb 2025
Prompt-Driven Continual Graph Learning
Prompt-Driven Continual Graph Learning
Qi Wang
Tianfei Zhou
Ye Yuan
Rui Mao
CLL
370
1
0
10 Feb 2025
Achieving Deep Continual Learning via Evolution
Achieving Deep Continual Learning via Evolution
Aojun Lu
Junchao Ke
Chunhui Ding
Jiahao Fan
Jiancheng Lv
Yanan Sun
CLL
360
1
0
10 Feb 2025
Sequence Transferability and Task Order Selection in Continual Learning
T. Nguyen
Cuong N. Nguyen
Quang Pham
B. T. Nguyen
Savitha Ramasamy
Xiaoli Li
Cuong V Nguyen
270
1
0
10 Feb 2025
MADAR: Efficient Continual Learning for Malware Analysis with Distribution-Aware Replay
MADAR: Efficient Continual Learning for Malware Analysis with Distribution-Aware Replay
Mohammad Saidur Rahman
Scott E. Coull
Qi Yu
M. Wright
AAML
637
4
0
09 Feb 2025
Demystifying Catastrophic Forgetting in Two-Stage Incremental Object Detector
Demystifying Catastrophic Forgetting in Two-Stage Incremental Object Detector
Qirui Wu
Shizhou Zhang
De Cheng
Yinghui Xing
Di Xu
Peng Wang
Yanning Zhang
ObjD
649
3
0
08 Feb 2025
Online Curvature-Aware Replay: Leveraging $\mathbf{2^{nd}}$ Order Information for Online Continual Learning
Online Curvature-Aware Replay: Leveraging 2nd\mathbf{2^{nd}}2nd Order Information for Online Continual Learning
Edoardo Urettini
Antonio Carta
294
3
0
03 Feb 2025
VLM-Assisted Continual learning for Visual Question Answering in Self-Driving
VLM-Assisted Continual learning for Visual Question Answering in Self-Driving
Yuxin Lin
Mengshi Qi
Liang Liu
Huadong Ma
CLL
295
4
0
02 Feb 2025
DesCLIP: Robust Continual Learning via General Attribute Descriptions for VLM-Based Visual Recognition
DesCLIP: Robust Continual Learning via General Attribute Descriptions for VLM-Based Visual Recognition
Chiyuan He
Zihuan Qiu
Fanman Meng
Linfeng Xu
Qi Wu
Haoyang Li
CLLKELMVLM
536
0
0
02 Feb 2025
On the Discrimination and Consistency for Exemplar-Free Class Incremental LearningInternational Joint Conference on Artificial Intelligence (IJCAI), 2025
Tianqi Wang
Jingcai Guo
Depeng Li
Zhi Chen
99
3
0
28 Jan 2025
Iterative Feature Space Optimization through Incremental Adaptive Evaluation
Yanping Wu
Li Yang
Zhengzhang Chen
Zijun Yao
Yanjie Fu
Kunpeng Liu
Xiao Luo
Dongjie Wang
149
1
0
28 Jan 2025
Federated Class-Incremental Learning: A Hybrid Approach Using Latent Exemplars and Data-Free Techniques to Address Local and Global Forgetting
Federated Class-Incremental Learning: A Hybrid Approach Using Latent Exemplars and Data-Free Techniques to Address Local and Global ForgettingInternational Conference on Learning Representations (ICLR), 2025
Milad Khademi Nori
Il-Min Kim
Guanghui
CLL
487
7
0
26 Jan 2025
How to Alleviate Catastrophic Forgetting in LLMs Finetuning? Hierarchical Layer-Wise and Element-Wise Regularization
How to Alleviate Catastrophic Forgetting in LLMs Finetuning? Hierarchical Layer-Wise and Element-Wise Regularization
Shezheng Song
Hao Xu
Jun Ma
Shan Zhao
Long Peng
Qian Wan
Xiaodong Liu
Jie Yu
KELMCLLALM
486
0
0
23 Jan 2025
Towards Robust Incremental Learning under Ambiguous Supervision
Towards Robust Incremental Learning under Ambiguous SupervisionInternational Joint Conference on Artificial Intelligence (IJCAI), 2025
Rui Wang
Mingxuan Xia
Chang Yao
Lei Feng
Junbo Zhao
Gang Chen
Haobo Wang
CLL
1.0K
0
0
23 Jan 2025
Multiple Queries with Multiple Keys: A Precise Prompt Matching Paradigm for Prompt-based Continual Learning
Multiple Queries with Multiple Keys: A Precise Prompt Matching Paradigm for Prompt-based Continual Learning
Dunwei Tu
Huiyu Yi
Yanjie Wang
Baile Xu
Furao Shen
Jian Zhao
CLL
521
0
0
22 Jan 2025
A margin-based replacement for cross-entropy loss
A margin-based replacement for cross-entropy loss
Michael W. Spratling
Heiko H. Schütt
319
0
0
21 Jan 2025
Empowering Large Language Model for Continual Video Question Answering with Collaborative Prompting
Empowering Large Language Model for Continual Video Question Answering with Collaborative PromptingConference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Chen Cai
Zheng Wang
J. Gao
Wenyang Liu
Ye Lu
Runzhong Zhang
Kim-Hui Yap
CLL
398
11
0
20 Jan 2025
Strategic Base Representation Learning via Feature Augmentations for Few-Shot Class Incremental Learning
Strategic Base Representation Learning via Feature Augmentations for Few-Shot Class Incremental LearningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2025
Parinita Nema
V. Kurmi
CLL
315
2
0
17 Jan 2025
Class Incremental Fault Diagnosis under Limited Fault Data via Supervised Contrastive Knowledge Distillation
Class Incremental Fault Diagnosis under Limited Fault Data via Supervised Contrastive Knowledge DistillationIEEE Transactions on Industrial Informatics (IEEE TII), 2025
Han Zhang
Yifei Yao
Zixuan Wang
Jiayuan Su
Mengxuan Li
Peng Peng
Hongwei Wang
CLL
417
5
0
16 Jan 2025
Incrementally Learning Multiple Diverse Data Domains via Multi-Source Dynamic Expansion Model
Incrementally Learning Multiple Diverse Data Domains via Multi-Source Dynamic Expansion Model
RunQing Wu
Fei Ye
QiHe Liu
Guoxi Huang
Jinyu Guo
Rongyao Hu
CLL
835
1
0
15 Jan 2025
Dynamic Prototype Rehearsal for Continual ECG Arrhythmia Detection
Dynamic Prototype Rehearsal for Continual ECG Arrhythmia Detection
Sana Rahmani
Reetam Chatterjee
Ali Etemad
J. Hashemi
233
0
0
13 Jan 2025
LSEBMCL: A Latent Space Energy-Based Model for Continual Learning
LSEBMCL: A Latent Space Energy-Based Model for Continual LearningDigital Signal Processing and Signal Processing Education Workshop (SPSPE), 2025
Xiaodi Li
Dingcheng Li
Rujun Gao
Mahmoud Zamani
Latifur Khan
CLLKELM
206
2
0
09 Jan 2025
HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs
HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs
Junying Chen
Zhenyang Cai
Ke Ji
Xiang Wang
Wanlong Liu
Rongsheng Wang
Jianye Hou
Benyou Wang
LRM
233
1
0
25 Dec 2024
Computational Analysis of Yaredawi YeZema Silt in Ethiopian Orthodox
  Tewahedo Church Chants
Computational Analysis of Yaredawi YeZema Silt in Ethiopian Orthodox Tewahedo Church ChantsInternational Society for Music Information Retrieval Conference (ISMIR), 2024
Mequanent Argaw Muluneh
Yan-Tsung Peng
Li Su
375
0
0
25 Dec 2024
On the Generalization and Adaptation Ability of Machine-Generated Text Detectors in Academic Writing
On the Generalization and Adaptation Ability of Machine-Generated Text Detectors in Academic Writing
Yule Liu
Zhiyuan Zhong
Yifan Liao
Zhen Sun
Jingyi Zheng
...
Qingyuan Gong
Fenghua Tong
Yang Chen
Yang Zhang
Xinlei He
DeLMO
336
0
0
23 Dec 2024
Hierarchically Gated Experts for Efficient Online Continual Learning
Hierarchically Gated Experts for Efficient Online Continual LearningInternational Conference on Agents and Artificial Intelligence (ICAART), 2024
Kevin Luong
Michael Thielscher
CLLOffRL
294
1
0
22 Dec 2024
Expert Routing with Synthetic Data for Continual Learning
Expert Routing with Synthetic Data for Continual Learning
Yewon Byun
Sanket Vaibhav Mehta
Saurabh Garg
Emma Strubell
Michael Oberst
Bryan Wilder
Zachary Chase Lipton
569
0
0
22 Dec 2024
Continual Learning with Strategic Selection and Forgetting for Network Intrusion Detection
Continual Learning with Strategic Selection and Forgetting for Network Intrusion DetectionIEEE Conference on Computer Communications (INFOCOM), 2024
Xinchen Zhang
Running Zhao
Zhihan Jiang
Handi Chen
Yulong Ding
Edith C.H. Ngai
Shuang-Hua Yang
AAML
641
10
0
20 Dec 2024
Balanced Gradient Sample Retrieval for Enhanced Knowledge Retention in
  Proxy-based Continual Learning
Balanced Gradient Sample Retrieval for Enhanced Knowledge Retention in Proxy-based Continual Learning
Hongye Xu
Jan Wasilewski
Bartosz Krawczyk
CLL
423
0
0
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Enabling Realtime Reinforcement Learning at Scale with Staggered
  Asynchronous Inference
Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous InferenceInternational Conference on Learning Representations (ICLR), 2024
Matthew D Riemer
G. Subbaraj
Glen Berseth
Irina Rish
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302
6
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18 Dec 2024
Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence
Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence
Yichen Li
Yuying Wang
Haozhao Wang
Yining Qi
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516
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Relation-Guided Adversarial Learning for Data-free Knowledge Transfer
Relation-Guided Adversarial Learning for Data-free Knowledge TransferInternational Journal of Computer Vision (IJCV), 2024
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318
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On Distilling the Displacement Knowledge for Few-Shot Class-Incremental
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TinySubNets: An efficient and low capacity continual learning strategy
TinySubNets: An efficient and low capacity continual learning strategyAAAI Conference on Artificial Intelligence (AAAI), 2024
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CFSSeg: Closed-Form Solution for Class-Incremental Semantic Segmentation of 2D Images and 3D Point Clouds
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DASK: Distribution Rehearsing via Adaptive Style Kernel Learning for
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