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Learning without Forgetting
v1v2v3 (latest)

Learning without Forgetting

29 June 2016
Zhizhong Li
Derek Hoiem
    CLLOODSSL
ArXiv (abs)PDFHTML

Papers citing "Learning without Forgetting"

50 / 2,270 papers shown
Title
AggSS: An Aggregated Self-Supervised Approach for Class-Incremental
  Learning
AggSS: An Aggregated Self-Supervised Approach for Class-Incremental Learning
Jayateja Kalla
Soma Biswas
SSL
78
0
0
08 Aug 2024
Diffusion Model Meets Non-Exemplar Class-Incremental Learning and Beyond
Diffusion Model Meets Non-Exemplar Class-Incremental Learning and Beyond
Jichuan Zhang
Yali Li
Xin Liu
Shengjin Wang
DiffM
85
1
0
06 Aug 2024
Distribution-Level Memory Recall for Continual Learning: Preserving
  Knowledge and Avoiding Confusion
Distribution-Level Memory Recall for Continual Learning: Preserving Knowledge and Avoiding Confusion
Shaoxu Cheng
Kanglei Geng
Chiyuan He
Zihuan Qiu
Linfeng Xu
Heqian Qiu
Lanxiao Wang
Qingbo Wu
Fanman Meng
Hongliang Li
CLL
86
0
0
04 Aug 2024
Balanced Residual Distillation Learning for 3D Point Cloud Class-Incremental Semantic Segmentation
Balanced Residual Distillation Learning for 3D Point Cloud Class-Incremental Semantic Segmentation
Yuanzhi Su
Siyuan Chen
Yuan-Gen Wang
CLL
145
3
0
02 Aug 2024
The Phantom Menace: Unmasking Privacy Leakages in Vision-Language Models
The Phantom Menace: Unmasking Privacy Leakages in Vision-Language Models
Simone Caldarella
Massimiliano Mancini
Elisa Ricci
Rahaf Aljundi
PILM
74
2
0
02 Aug 2024
Exploiting the Semantic Knowledge of Pre-trained Text-Encoders for Continual Learning
Exploiting the Semantic Knowledge of Pre-trained Text-Encoders for Continual Learning
Lu Yu
Hesong Li
Ying Fu
Joost van de Weijer
Bartłomiej Twardowski
Joost van de Weijer
Changsheng Xu
CLL
97
1
0
02 Aug 2024
Dynamic Object Queries for Transformer-based Incremental Object
  Detection
Dynamic Object Queries for Transformer-based Incremental Object Detection
Jichuan Zhang
Wei Li
Shuang Cheng
Yali Li
Shengjin Wang
78
0
0
31 Jul 2024
Multi-Site Class-Incremental Learning with Weighted Experts in
  Echocardiography
Multi-Site Class-Incremental Learning with Weighted Experts in Echocardiography
Kit M. Bransby
Woo-Jin Cho Kim
Jorge Oliveira
Alex Thorley
A. Beqiri
Alberto Gómez
A. Chartsias
OOD
93
0
0
31 Jul 2024
PMoE: Progressive Mixture of Experts with Asymmetric Transformer for
  Continual Learning
PMoE: Progressive Mixture of Experts with Asymmetric Transformer for Continual Learning
Min Jae Jung
Romain Rouvoy
KELMMoECLL
83
4
0
31 Jul 2024
Conditioned Prompt-Optimization for Continual Deepfake Detection
Conditioned Prompt-Optimization for Continual Deepfake Detection
Francesco Laiti
Benedetta Liberatori
Thomas De Min
Elisa Ricci
108
3
0
31 Jul 2024
Fine-gained Zero-shot Video Sampling
Fine-gained Zero-shot Video Sampling
Dengsheng Chen
Jie Hu
Javier Segovia-Aguas
Enhua Wu
VGenDiffM
53
0
0
31 Jul 2024
VIPeR: Visual Incremental Place Recognition with Adaptive Mining and Continual Learning
VIPeR: Visual Incremental Place Recognition with Adaptive Mining and Continual Learning
Yuhao Zhang
Zhengxuan Wu
Xingrui Yang
Weicai Ye
Yian Zhang
Bonan Min
Weichen Dai
Zhiheng Huang
79
2
0
31 Jul 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
99
0
0
30 Jul 2024
PIP: Prototypes-Injected Prompt for Federated Class Incremental Learning
PIP: Prototypes-Injected Prompt for Federated Class Incremental Learning
M. A. Ma'sum
Mahardhika Pratama
Savitha Ramasamy
Lin Liu
Habibullah Habibullah
Ryszard Kowalczyk
CLL
87
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
Zhihang Lin
Zhihang Lin
Yushun Zhang
Tian Ding
Ruoyu Sun
Ruoyu Sun
CLL
177
5
0
30 Jul 2024
FTF-ER: Feature-Topology Fusion-Based Experience Replay Method for
  Continual Graph Learning
FTF-ER: Feature-Topology Fusion-Based Experience Replay Method for Continual Graph Learning
Jinhui Pang
Changqing Lin
Xiaoshuai Hao
Rong Yin
Zixuan Wang
Zhihui Zhang
Jinglin He
Huang Tai Sheng
80
4
0
28 Jul 2024
Graph Memory Learning: Imitating Lifelong Remembering and Forgetting of
  Brain Networks
Graph Memory Learning: Imitating Lifelong Remembering and Forgetting of Brain Networks
Jiaxing Miao
Liang Hu
Qi Zhang
LongBing Cao
CLL
99
0
0
27 Jul 2024
PromptCCD: Learning Gaussian Mixture Prompt Pool for Continual Category
  Discovery
PromptCCD: Learning Gaussian Mixture Prompt Pool for Continual Category Discovery
Fernando Julio Cendra
Bingchen Zhao
Kai Han
VLMCLL
102
6
0
26 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
65
1
0
26 Jul 2024
Inference Load-Aware Orchestration for Hierarchical Federated Learning
Inference Load-Aware Orchestration for Hierarchical Federated Learning
Anna Lackinger
P. Frangoudis
Ivan vCilić
Alireza Furutanpey
Ilir Murturi
Ivana Podnar vZarko
Schahram Dustdar
FedML
88
5
0
23 Jul 2024
Strike a Balance in Continual Panoptic Segmentation
Strike a Balance in Continual Panoptic Segmentation
Jinpeng Chen
Runmin Cong
Yuxuan Luo
H. Ip
Sam Kwong
108
4
0
23 Jul 2024
CLIP with Generative Latent Replay: a Strong Baseline for Incremental
  Learning
CLIP with Generative Latent Replay: a Strong Baseline for Incremental Learning
Emanuele Frascaroli
Aniello Panariello
Pietro Buzzega
Lorenzo Bonicelli
Angelo Porrello
Simone Calderara
VLMCLL
78
6
0
22 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
88
3
0
22 Jul 2024
CP-Prompt: Composition-Based Cross-modal Prompting for
  Domain-Incremental Continual Learning
CP-Prompt: Composition-Based Cross-modal Prompting for Domain-Incremental Continual Learning
Yu Feng
Zhen Tian
Zhonghong Ou
Zongfu Han
Haoran Luo
Guangwei Zhang
Meina Song
CLLVLM
63
8
0
22 Jul 2024
Learn to Preserve and Diversify: Parameter-Efficient Group with
  Orthogonal Regularization for Domain Generalization
Learn to Preserve and Diversify: Parameter-Efficient Group with Orthogonal Regularization for Domain Generalization
Jiajun Hu
Jian Zhang
Lei Qi
Yinghuan Shi
Yang Gao
OOD
69
6
0
21 Jul 2024
Decoupled Prompt-Adapter Tuning for Continual Activity Recognition
Decoupled Prompt-Adapter Tuning for Continual Activity Recognition
Di Fu
Thanh Vinh Vo
Haozhe Ma
Tze-Yun Leong
54
1
0
20 Jul 2024
An Attention-based Representation Distillation Baseline for Multi-Label
  Continual Learning
An Attention-based Representation Distillation Baseline for Multi-Label Continual Learning
Martin Menabue
Emanuele Frascaroli
Matteo Boschini
Lorenzo Bonicelli
Angelo Porrello
Simone Calderara
CLL
61
0
0
19 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
87
2
0
19 Jul 2024
Class-Incremental Learning with CLIP: Adaptive Representation Adjustment
  and Parameter Fusion
Class-Incremental Learning with CLIP: Adaptive Representation Adjustment and Parameter Fusion
Linlan Huang
Xusheng Cao
Haori Lu
Xialei Liu
CLL
115
18
0
19 Jul 2024
Early Preparation Pays Off: New Classifier Pre-tuning for Class
  Incremental Semantic Segmentation
Early Preparation Pays Off: New Classifier Pre-tuning for Class Incremental Semantic Segmentation
Zhengyuan Xie
Haiquan Lu
Jia-Wen Xiao
Enguang Wang
Le Zhang
Xialei Liu
CLL
87
4
0
19 Jul 2024
Continual Learning for Remote Physiological Measurement: Minimize
  Forgetting and Simplify Inference
Continual Learning for Remote Physiological Measurement: Minimize Forgetting and Simplify Inference
Qian Liang
Yan Chen
Yang Hu
CLL
95
2
0
19 Jul 2024
Addressing Imbalance for Class Incremental Learning in Medical Image
  Classification
Addressing Imbalance for Class Incremental Learning in Medical Image Classification
Xuze Hao
Wenqian Ni
Xuhao Jiang
Weimin Tan
Bo Yan
CLL
62
0
0
18 Jul 2024
Improving GPU Multi-Tenancy Through Dynamic Multi-Instance GPU
  Reconfiguration
Improving GPU Multi-Tenancy Through Dynamic Multi-Instance GPU Reconfiguration
Tianyu Wang
Sheng Li
Bingyao Li
Yuezhen Dai
Ao Li
Geng Yuan
Yufei Ding
Youtao Zhang
Xulong Tang
98
0
0
18 Jul 2024
Continual Distillation Learning: Knowledge Distillation in Prompt-based Continual Learning
Continual Distillation Learning: Knowledge Distillation in Prompt-based Continual Learning
Qifan Zhang
Yunhui Guo
Yu Xiang
CLLVLM
168
0
0
18 Jul 2024
Adaptive Cascading Network for Continual Test-Time Adaptation
Adaptive Cascading Network for Continual Test-Time Adaptation
Kien X. Nguyen
Fengchun Qiao
Xi Peng
TTACLLVLM
71
1
0
17 Jul 2024
CroMo-Mixup: Augmenting Cross-Model Representations for Continual
  Self-Supervised Learning
CroMo-Mixup: Augmenting Cross-Model Representations for Continual Self-Supervised Learning
Erum Mushtaq
D. Yaldiz
Yavuz Faruk Bakman
Jie Ding
Chenyang Tao
Dimitrios Dimitriadis
A. Avestimehr
CLL
85
1
0
16 Jul 2024
Bridge Past and Future: Overcoming Information Asymmetry in Incremental
  Object Detection
Bridge Past and Future: Overcoming Information Asymmetry in Incremental Object Detection
Qijie Mo
Yipeng Gao
Shenghao Fu
Junkai Yan
Ancong Wu
Wei-Shi Zheng
CLL
93
7
0
16 Jul 2024
Beyond Prompt Learning: Continual Adapter for Efficient Rehearsal-Free
  Continual Learning
Beyond Prompt Learning: Continual Adapter for Efficient Rehearsal-Free Continual Learning
Xinyuan Gao
Songlin Dong
Yuhang He
Qiang Wang
Yihong Gong
CLL
116
19
0
14 Jul 2024
Advancing Continual Learning for Robust Deepfake Audio Classification
Advancing Continual Learning for Robust Deepfake Audio Classification
Feiyi Dong
Qingchen Tang
Yichen Bai
Zihan Wang
69
3
0
14 Jul 2024
Background Adaptation with Residual Modeling for Exemplar-Free
  Class-Incremental Semantic Segmentation
Background Adaptation with Residual Modeling for Exemplar-Free Class-Incremental Semantic Segmentation
Anqi Zhang
Guangyu Gao
CLLVLM
99
5
0
13 Jul 2024
Overcoming Catastrophic Forgetting in Federated Class-Incremental
  Learning via Federated Global Twin Generator
Overcoming Catastrophic Forgetting in Federated Class-Incremental Learning via Federated Global Twin Generator
Thinh Nguyen
Khoa D. Doan
Binh T. Nguyen
Danh Le-Phuoc
Kok-Seng Wong
FedML
75
0
0
13 Jul 2024
iNeMo: Incremental Neural Mesh Models for Robust Class-Incremental
  Learning
iNeMo: Incremental Neural Mesh Models for Robust Class-Incremental Learning
Tom Fischer
Yaoyao Liu
Artur Jesslen
Noor Ahmed
Prakhar Kaushik
Angtian Wang
Alan Yuille
Adam Kortylewski
Eddy Ilg
CLLAI4CE
81
1
0
12 Jul 2024
Cs2K: Class-specific and Class-shared Knowledge Guidance for Incremental
  Semantic Segmentation
Cs2K: Class-specific and Class-shared Knowledge Guidance for Incremental Semantic Segmentation
Wei Cong
Yang Cong
Yuyang Liu
Gan Sun
VLMCLL
75
3
0
12 Jul 2024
One Stone, Four Birds: A Comprehensive Solution for QA System Using
  Supervised Contrastive Learning
One Stone, Four Birds: A Comprehensive Solution for QA System Using Supervised Contrastive Learning
Bo Wang
Tsunenori Mine
AAML
103
0
0
12 Jul 2024
Exemplar-free Continual Representation Learning via Learnable Drift
  Compensation
Exemplar-free Continual Representation Learning via Learnable Drift Compensation
Alex Gomez-Villa
Dipam Goswami
Kai Wang
Andrew D. Bagdanov
Bartlomiej Twardowski
Joost van de Weijer
CLLSSL
74
11
0
11 Jul 2024
CLEO: Continual Learning of Evolving Ontologies
CLEO: Continual Learning of Evolving Ontologies
Shishir Muralidhara
Saqib Bukhari
Georg Schneider
Didier Stricker
René Schuster
CLL
75
1
0
11 Jul 2024
Adaptive Deep Iris Feature Extractor at Arbitrary Resolutions
Adaptive Deep Iris Feature Extractor at Arbitrary Resolutions
Yuho Shoji
Yuka Ogino
Takahiro Toizumi
Atsushi Ito
CVBM
55
0
0
11 Jul 2024
Lifelong Histopathology Whole Slide Image Retrieval via Distance
  Consistency Rehearsal
Lifelong Histopathology Whole Slide Image Retrieval via Distance Consistency Rehearsal
Xinyu Zhu
Zhiguo Jiang
Kun-Hsuan Wu
Jun Shi
Yushan Zheng
CLL
99
4
0
11 Jul 2024
Rethinking Few-shot Class-incremental Learning: Learning from Yourself
Rethinking Few-shot Class-incremental Learning: Learning from Yourself
Yu-Ming Tang
Yi-Xing Peng
Jingke Meng
Wei-Shi Zheng
CLL
96
6
0
10 Jul 2024
Certified Continual Learning for Neural Network Regression
Certified Continual Learning for Neural Network Regression
Long H. Pham
Jun Sun
119
2
0
09 Jul 2024
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