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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 / 2,446 papers shown
Natural Language Actor-Critic: Scalable Off-Policy Learning in Language Space
Natural Language Actor-Critic: Scalable Off-Policy Learning in Language Space
Joey Hong
Kang Liu
Zhan Ling
Jiecao Chen
Sergey Levine
LLMAGOffRL
153
0
0
04 Dec 2025
Parameter-Efficient Augment Plugin for Class-Incremental Learning
Parameter-Efficient Augment Plugin for Class-Incremental Learning
Zhiming Xu
Baile Xu
Jian Zhao
Furao Shen
Suorong Yang
CLL
172
0
0
03 Dec 2025
Elastic Weight Consolidation for Knowledge Graph Continual Learning: An Empirical Evaluation
Elastic Weight Consolidation for Knowledge Graph Continual Learning: An Empirical Evaluation
Gaganpreet Jhajj
Fuhua Lin
CLLKELM
212
0
0
01 Dec 2025
Provably Safe Model Updates
Leo Elmecker-Plakolm
Pierre Fasterling
Philip Sosnin
Calvin Tsay
Matthew Wicker
AAMLKELM
134
0
0
01 Dec 2025
Affordance-First Decomposition for Continual Learning in Video-Language Understanding
Mengzhu Xu
Hanzhi Liu
Ningkang Peng
Qianyu Chen
Canran Xiao
CLL
176
0
0
30 Nov 2025
Memory-Integrated Reconfigurable Adapters: A Unified Framework for Settings with Multiple Tasks
Memory-Integrated Reconfigurable Adapters: A Unified Framework for Settings with Multiple Tasks
Susmit Agrawal
Krishn Vishwas Kher
Saksham Mittal
Swarnim Maheshwari
Vineeth N. Balasubramanian
CLL
148
0
0
30 Nov 2025
SAIDO: Generalizable Detection of AI-Generated Images via Scene-Aware and Importance-Guided Dynamic Optimization in Continual Learning
Yongkang Hu
Yu Cheng
Y. Zhang
Yuan Xie
Zhaoxia Yin
84
0
0
29 Nov 2025
Stable-Drift: A Patient-Aware Latent Drift Replay Method for Stabilizing Representations in Continual Learning
Stable-Drift: A Patient-Aware Latent Drift Replay Method for Stabilizing Representations in Continual Learning
P. Theofilou
Anuhya Thota
Stefanos D. Kollias
Mamatha Thota
MedIm
308
0
0
27 Nov 2025
Prompt-Aware Adaptive Elastic Weight Consolidation for Continual Learning in Medical Vision-Language Models
Prompt-Aware Adaptive Elastic Weight Consolidation for Continual Learning in Medical Vision-Language Models
Ziyuan Gao
Philippe Morel
CLL
208
0
0
25 Nov 2025
Learning to Compress Graphs via Dual Agents for Consistent Topological Robustness Evaluation
Learning to Compress Graphs via Dual Agents for Consistent Topological Robustness Evaluation
Qisen Chai
Yansong Wang
Junjie Huang
Tao Jia
AAML
245
0
0
24 Nov 2025
When Generative Replay Meets Evolving Deepfakes: Domain-Aware Relative Weighting for Incremental Face Forgery Detection
When Generative Replay Meets Evolving Deepfakes: Domain-Aware Relative Weighting for Incremental Face Forgery Detection
Hao Shen
Jikang Cheng
Renye Yan
Zhongyuan Wang
Wei Peng
Baojin Huang
108
0
0
23 Nov 2025
Breaking Forgetting: Training-Free Few-Shot Class-Incremental Learning via Conditional Diffusion
Breaking Forgetting: Training-Free Few-Shot Class-Incremental Learning via Conditional Diffusion
Haidong Kang
Ketong Qian
Yi Lu
CLL
272
0
0
23 Nov 2025
Mitigating Catastrophic Forgetting in Streaming Generative and Predictive Learning via Stateful Replay
Mitigating Catastrophic Forgetting in Streaming Generative and Predictive Learning via Stateful Replay
Wenzhang Du
CLLAI4TS
215
0
0
22 Nov 2025
Adversarial Pseudo-replay for Exemplar-free Class-incremental Learning
Adversarial Pseudo-replay for Exemplar-free Class-incremental Learning
Hiroto Honda
CLL
184
0
0
22 Nov 2025
Continual Alignment for SAM: Rethinking Foundation Models for Medical Image Segmentation in Continual Learning
Continual Alignment for SAM: Rethinking Foundation Models for Medical Image Segmentation in Continual Learning
Jiayi Wang
Wei Dai
Haoyu Wang
Sihan Yang
Haixia Bi
Jian Sun
CLLMedIm
329
0
0
21 Nov 2025
InTAct: Interval-based Task Activation Consolidation for Continual Learning
InTAct: Interval-based Task Activation Consolidation for Continual Learning
Patryk Krukowski
Jan Miksa
Piotr Helm
Jacek Tabor
Paweł Wawrzyński
Przemysław Spurek
CLL
268
0
0
21 Nov 2025
MedPEFT-CL: Dual-Phase Parameter-Efficient Continual Learning with Medical Semantic Adapter and Bidirectional Memory Consolidation
MedPEFT-CL: Dual-Phase Parameter-Efficient Continual Learning with Medical Semantic Adapter and Bidirectional Memory Consolidation
Ziyuan Gao
CLLMedIm
185
0
0
21 Nov 2025
Parameter Importance-Driven Continual Learning for Foundation Models
Parameter Importance-Driven Continual Learning for Foundation Models
LingXiang Wang
Hainan Zhang
Zhiming Zheng
KELMCLL
475
0
0
19 Nov 2025
Learning from Mistakes: Loss-Aware Memory Enhanced Continual Learning for LiDAR Place Recognition
Learning from Mistakes: Loss-Aware Memory Enhanced Continual Learning for LiDAR Place Recognition
Xufei Wang
Junqiao Zhao
Siyue Tao
Qiwen Gu
Wonbong Kim
T. Feng
CLL
209
0
0
19 Nov 2025
Hierarchical Semantic Tree Anchoring for CLIP-Based Class-Incremental Learning
Hierarchical Semantic Tree Anchoring for CLIP-Based Class-Incremental Learning
Tao Hu
Lan Li
Zhen-Hao Xie
Da-Wei Zhou
CLLVLM
272
0
0
19 Nov 2025
CKDA: Cross-modality Knowledge Disentanglement and Alignment for Visible-Infrared Lifelong Person Re-identification
CKDA: Cross-modality Knowledge Disentanglement and Alignment for Visible-Infrared Lifelong Person Re-identification
Zhenyu Cui
Jiahuan Zhou
Yuxin Peng
88
0
0
19 Nov 2025
MergeSlide: Continual Model Merging and Task-to-Class Prompt-Aligned Inference for Lifelong Learning on Whole Slide Images
MergeSlide: Continual Model Merging and Task-to-Class Prompt-Aligned Inference for Lifelong Learning on Whole Slide Images
Doanh C. Bui
Ba-Hung Ngo
H. Pham
Khang Phuoc-Quy Nguyen
Maï K. Nguyen
Y. Nakashima
CLLMoMeVLM
306
0
0
17 Nov 2025
Neuro-Logic Lifelong Learning
Neuro-Logic Lifelong Learning
Bowen He
Xiaoan Xu
Alper Kamil Bozkurt
Vahid Tarokh
Juncheng Dong
CLL
170
0
0
16 Nov 2025
Teaching Prompts to Coordinate: Hierarchical Layer-Grouped Prompt Tuning for Continual Learning
Teaching Prompts to Coordinate: Hierarchical Layer-Grouped Prompt Tuning for Continual Learning
Shengqin Jiang
Tianqi Kong
Yuankai Qi
Haokui Zhang
Lina Yao
Quan Z. Sheng
Qingshan Liu
Ming-Hsuan Yang
CLL
210
0
0
15 Nov 2025
Class Incremental Medical Image Segmentation via Prototype-Guided Calibration and Dual-Aligned Distillation
Class Incremental Medical Image Segmentation via Prototype-Guided Calibration and Dual-Aligned Distillation
Shengqian Zhu
Chengrong Yu
Qiang Wang
Ying Song
Guangjun Li
Jiafei Wu
Xiaogang Xu
Zhang Yi
Junjie Hu
CLLVLM
268
0
0
11 Nov 2025
Mitigating Negative Flips via Margin Preserving Training
Mitigating Negative Flips via Margin Preserving Training
Simone Ricci
Niccoló Biondi
F. Pernici
Alberto Del Bimbo
VLM
164
0
0
11 Nov 2025
RedOne 2.0: Rethinking Domain-specific LLM Post-Training in Social Networking Services
RedOne 2.0: Rethinking Domain-specific LLM Post-Training in Social Networking Services
Fei Zhao
Chonggang Lu
Haofu Qian
Fangcheng Shi
Zijie Meng
...
Zheyong Xie
Zheyu Ye
Zhe Xu
Yao Hu
Shaosheng Cao
ALM
203
0
0
10 Nov 2025
Sharing the Learned Knowledge-base to Estimate Convolutional Filter Parameters for Continual Image Restoration
Sharing the Learned Knowledge-base to Estimate Convolutional Filter Parameters for Continual Image Restoration
Aupendu Kar
Krishnendu Ghosh
P. Biswas
CLLSupR
324
0
0
07 Nov 2025
ProDER: A Continual Learning Approach for Fault Prediction in Evolving Smart Grids
ProDER: A Continual Learning Approach for Fault Prediction in Evolving Smart Grids
Emad Efatinasab
Nahal Azadi
Davide Dalle Pezze
Gian Antonio Susto
Chuadhry Mujeeb Ahmed
M. Rampazzo
136
0
0
07 Nov 2025
Forgetting is Everywhere
Forgetting is Everywhere
Ben Sanati
Thomas L. Lee
Trevor A. McInroe
Aidan Scannell
Nikolay Malkin
David Abel
Amos Storkey
OODCML
380
0
0
06 Nov 2025
I Detect What I Don't Know: Incremental Anomaly Learning with Stochastic Weight Averaging-Gaussian for Oracle-Free Medical Imaging
I Detect What I Don't Know: Incremental Anomaly Learning with Stochastic Weight Averaging-Gaussian for Oracle-Free Medical Imaging
Nand Kumar Yadav
Rodrigue Rizk
William CW Chen
KC Santosh
MedIm
227
0
0
05 Nov 2025
Efficient Online Continual Learning in Sensor-Based Human Activity Recognition
Efficient Online Continual Learning in Sensor-Based Human Activity Recognition
Yao Zhang
Souza Leite Clayton
Yu Xiao
VLM
228
0
0
04 Nov 2025
LUMA-RAG: Lifelong Multimodal Agents with Provably Stable Streaming Alignment
LUMA-RAG: Lifelong Multimodal Agents with Provably Stable Streaming Alignment
Rohan Wandre
Yash Gajewar
Namrata Patel
Vivek Dhalkari
76
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Dynamic Routing Between Experts: A Data-Efficient Approach to Continual Learning in Vision-Language Models
Dynamic Routing Between Experts: A Data-Efficient Approach to Continual Learning in Vision-Language Models
Jay Mohta
Kenan E. Ak
Dimitrios Dimitriadis
Yan Xu
Mingwei Shen
CLLVLM
310
0
0
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Clustering-Based Weight Orthogonalization for Stabilizing Deep Reinforcement Learning
Clustering-Based Weight Orthogonalization for Stabilizing Deep Reinforcement LearningIEEE International Joint Conference on Neural Network (IJCNN), 2025
Guoqing Ma
Y. Zhang
Yuming Dai
Guangfu Hao
Yang Chen
S. Yu
OffRL
126
0
0
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Model Inversion with Layer-Specific Modeling and Alignment for Data-Free Continual Learning
Model Inversion with Layer-Specific Modeling and Alignment for Data-Free Continual Learning
Ruilin Tong
Haodong Lu
Yuhang Liu
Dong Gong
CLL
229
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0
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Incremental Human-Object Interaction Detection with Invariant Relation Representation Learning
Incremental Human-Object Interaction Detection with Invariant Relation Representation Learning
Yana Wei
Zeen Chi
Chongyu Wang
Yu Wu
Shipeng Yan
Yongfei Liu
Xuming He
148
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0
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Beyond Reasoning Gains: Mitigating General Capabilities Forgetting in Large Reasoning Models
Beyond Reasoning Gains: Mitigating General Capabilities Forgetting in Large Reasoning Models
Hoang Phan
Xianjun Yang
Kevin Yao
Jingyu Zhang
Shengjie Bi
Xiaocheng Tang
Madian Khabsa
Lijuan Liu
Deren Lei
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130
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0
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Memory-Free Continual Learning with Null Space Adaptation for Zero-Shot Vision-Language Models
Memory-Free Continual Learning with Null Space Adaptation for Zero-Shot Vision-Language Models
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Taesup Kim
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148
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0
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Benchmarking Catastrophic Forgetting Mitigation Methods in Federated Time Series Forecasting
Benchmarking Catastrophic Forgetting Mitigation Methods in Federated Time Series Forecasting
Khaled Hallak
Oudom Kem
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128
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0
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RECALL: REpresentation-aligned Catastrophic-forgetting ALLeviation via Hierarchical Model Merging
RECALL: REpresentation-aligned Catastrophic-forgetting ALLeviation via Hierarchical Model Merging
Bowen Wang
Haiyuan Wan
Liwen Shi
Chen Yang
Peng He
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Tiao Tan
Yongjian Li
Fangming Liu
Yifan Gong
Sheng Zhang
CLLMoMeKELM
219
2
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23 Oct 2025
C-NAV: Towards Self-Evolving Continual Object Navigation in Open World
C-NAV: Towards Self-Evolving Continual Object Navigation in Open World
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Fei Zhu
Wenzhuo Liu
Y. Yang
Qunbo Wang
Wenjun Wu
Jing Liu
222
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KORE: Enhancing Knowledge Injection for Large Multimodal Models via Knowledge-Oriented Augmentations and Constraints
KORE: Enhancing Knowledge Injection for Large Multimodal Models via Knowledge-Oriented Augmentations and Constraints
Kailin Jiang
Hongbo Jiang
Ning Jiang
Zhi Gao
Jinhe Bi
Yuchen Ren
B. Li
Yuntao Du
L. J. Liu
Qing Li
CLLOffRLKELMVLM
219
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Retaining by Doing: The Role of On-Policy Data in Mitigating Forgetting
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Noam Razin
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EndoCIL: A Class-Incremental Learning Framework for Endoscopic Image Classification
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Fly-CL: A Fly-Inspired Framework for Enhancing Efficient Decorrelation and Reduced Training Time in Pre-trained Model-based Continual Representation Learning
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HYDRA: HYbrid knowledge Distillation and spectral Reconstruction Algorithm for high channel hyperspectral camera applications
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