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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
Transport-Hub-Aware Spatial-Temporal Adaptive Graph Transformer for
  Traffic Flow Prediction
Transport-Hub-Aware Spatial-Temporal Adaptive Graph Transformer for Traffic Flow Prediction
Xiao Xu
Lei Zhang
Bailong Liu
Zhi Liang
Xuefei Zhang
AI4TS
64
1
0
12 Oct 2023
TriRE: A Multi-Mechanism Learning Paradigm for Continual Knowledge
  Retention and Promotion
TriRE: A Multi-Mechanism Learning Paradigm for Continual Knowledge Retention and Promotion
Preetha Vijayan
Prashant Shivaram Bhat
Elahe Arani
Bahram Zonooz
CLL
65
6
0
12 Oct 2023
Continual Learning via Manifold Expansion Replay
Continual Learning via Manifold Expansion Replay
Zihao Xu
Xuan Tang
Yufei Shi
Jianfeng Zhang
Jian Yang
Mingsong Chen
Xian Wei
KELMCLL
28
4
0
12 Oct 2023
Leveraging Hierarchical Feature Sharing for Efficient Dataset
  Condensation
Leveraging Hierarchical Feature Sharing for Efficient Dataset Condensation
Haizhong Zheng
Jiachen Sun
Shutong Wu
B. Kailkhura
Zhuoqing Mao
Chaowei Xiao
Atul Prakash
DD
65
2
0
11 Oct 2023
CoinSeg: Contrast Inter- and Intra- Class Representations for
  Incremental Segmentation
CoinSeg: Contrast Inter- and Intra- Class Representations for Incremental Segmentation
Zekang Zhang
Guangyu Gao
Jianbo Jiao
C. Liu
Yunchao Wei
69
22
0
10 Oct 2023
Diagnosing Catastrophe: Large parts of accuracy loss in continual
  learning can be accounted for by readout misalignment
Diagnosing Catastrophe: Large parts of accuracy loss in continual learning can be accounted for by readout misalignment
Daniel Anthes
Sushrut Thorat
Peter König
Tim C Kietzmann
57
2
0
09 Oct 2023
Keep Moving: identifying task-relevant subspaces to maximise plasticity
  for newly learned tasks
Keep Moving: identifying task-relevant subspaces to maximise plasticity for newly learned tasks
Daniel Anthes
Sushrut Thorat
Peter König
Tim C Kietzmann
CLL
51
0
0
07 Oct 2023
Saliency-Guided Hidden Associative Replay for Continual Learning
Saliency-Guided Hidden Associative Replay for Continual Learning
Guangji Bai
Qilong Zhao
Xiaoyang Jiang
Yifei Zhang
Liang Zhao
CLL
102
6
0
06 Oct 2023
Class-Incremental Learning Using Generative Experience Replay Based on
  Time-aware Regularization
Class-Incremental Learning Using Generative Experience Replay Based on Time-aware Regularization
Zizhao Hu
Mohammad Rostami
CLLBDL
72
3
0
05 Oct 2023
OpenIncrement: A Unified Framework for Open Set Recognition and Deep
  Class-Incremental Learning
OpenIncrement: A Unified Framework for Open Set Recognition and Deep Class-Incremental Learning
Jiawen Xu
Claas Grohnfeldt
O. Kao
BDLCLL
57
2
0
05 Oct 2023
Hadamard Domain Training with Integers for Class Incremental Quantized
  Learning
Hadamard Domain Training with Integers for Class Incremental Quantized Learning
Martin Schiemer
Clemens J. S. Schaefer
Jayden Parker Vap
Mark Horeni
Yu Emma Wang
Juan Ye
Siddharth Joshi
70
2
0
05 Oct 2023
COOLer: Class-Incremental Learning for Appearance-Based Multiple Object
  Tracking
COOLer: Class-Incremental Learning for Appearance-Based Multiple Object Tracking
Zhizheng Liu
Mattia Segu
Fisher Yu
61
4
0
04 Oct 2023
Continual Contrastive Spoken Language Understanding
Continual Contrastive Spoken Language Understanding
Umberto Cappellazzo
Enrico Fini
Muqiao Yang
Daniele Falavigna
Alessio Brutti
Bhiksha Raj
CLL
69
1
0
04 Oct 2023
Diving into the Depths of Spotting Text in Multi-Domain Noisy Scenes
Diving into the Depths of Spotting Text in Multi-Domain Noisy Scenes
Alloy Das
Sanket Biswas
Umapada Pal
Josep Lladós
87
4
0
01 Oct 2023
HyperMask: Adaptive Hypernetwork-based Masks for Continual Learning
HyperMask: Adaptive Hypernetwork-based Masks for Continual Learning
Kamil Ksiazek
Przemysław Spurek
CLL
100
6
0
29 Sep 2023
A Survey of Incremental Transfer Learning: Combining Peer-to-Peer
  Federated Learning and Domain Incremental Learning for Multicenter
  Collaboration
A Survey of Incremental Transfer Learning: Combining Peer-to-Peer Federated Learning and Domain Incremental Learning for Multicenter Collaboration
Yixing Huang
Christoph Bert
Rostislav Makarov
Alexander Alenin
Andreas Maier
F. Putz
FedMLCLL
61
1
0
29 Sep 2023
Continual Action Assessment via Task-Consistent Score-Discriminative
  Feature Distribution Modeling
Continual Action Assessment via Task-Consistent Score-Discriminative Feature Distribution Modeling
Yuan-Ming Li
Ling-an Zeng
Jing-Ke Meng
Wei-Shi Zheng
103
11
0
29 Sep 2023
Generalizable Heterogeneous Federated Cross-Correlation and Instance
  Similarity Learning
Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity Learning
Wenke Huang
J. J. Valero-Mas
Dasaem Jeong
Bo Du
FedML
82
50
0
28 Sep 2023
E2Net: Resource-Efficient Continual Learning with Elastic Expansion
  Network
E2Net: Resource-Efficient Continual Learning with Elastic Expansion Network
Ruiqi Liu
Boyu Diao
Libo Huang
Zhulin An
Yongjun Xu
CLL
103
0
0
28 Sep 2023
Inherit with Distillation and Evolve with Contrast: Exploring Class
  Incremental Semantic Segmentation Without Exemplar Memory
Inherit with Distillation and Evolve with Contrast: Exploring Class Incremental Semantic Segmentation Without Exemplar Memory
Danpei Zhao
Bo Yuan
Z. Shi
VLMCLL
75
11
0
27 Sep 2023
Memory-Efficient Continual Learning Object Segmentation for Long Video
Memory-Efficient Continual Learning Object Segmentation for Long Video
Amir Nazemi
Mohammad Javad Shafiee
Zahra Gharaee
Paul Fieguth
VOSCLL
62
0
0
26 Sep 2023
HPCR: Holistic Proxy-based Contrastive Replay for Online Continual Learning
HPCR: Holistic Proxy-based Contrastive Replay for Online Continual Learning
Huiwei Lin
Shanshan Feng
Baoquan Zhang
Xutao Li
Yew-Soon Ong
CLL
131
0
0
26 Sep 2023
Revisiting Softmax Masking: Stop Gradient for Enhancing Stability in
  Replay-based Continual Learning
Revisiting Softmax Masking: Stop Gradient for Enhancing Stability in Replay-based Continual Learning
Hoyong Kim
M. Kwon
Kangil Kim
CLL
81
0
0
26 Sep 2023
ConPET: Continual Parameter-Efficient Tuning for Large Language Models
ConPET: Continual Parameter-Efficient Tuning for Large Language Models
Chenyan Song
Xu Han
Zheni Zeng
Kuai Li
Chen Chen
Zhiyuan Liu
Maosong Sun
Taojiannan Yang
CLLKELM
97
11
0
26 Sep 2023
FeCAM: Exploiting the Heterogeneity of Class Distributions in
  Exemplar-Free Continual Learning
FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning
Dipam Goswami
Yuyang Liu
Bartlomiej Twardowski
Joost van de Weijer
CLL
91
61
0
25 Sep 2023
Multivariate Prototype Representation for Domain-Generalized Incremental
  Learning
Multivariate Prototype Representation for Domain-Generalized Incremental Learning
Can Peng
Piotr Koniusz
Kai Guo
Brian C. Lovell
Peyman Moghadam
CLLOOD
64
2
0
24 Sep 2023
Randomize to Generalize: Domain Randomization for Runway FOD Detection
Randomize to Generalize: Domain Randomization for Runway FOD Detection
Javaria Farooq
Nayyer Aafaq
Muhammad Ishaq Khan
Ammar Saleem
Muhammad Abubakar Siddique
61
1
0
23 Sep 2023
Person Re-Identification for Robot Person Following with Online
  Continual Learning
Person Re-Identification for Robot Person Following with Online Continual Learning
Hanjing Ye
Jieting Zhao
Yu Zhan
Weinan Chen
Li He
Hong Zhang
65
9
0
21 Sep 2023
Create and Find Flatness: Building Flat Training Spaces in Advance for
  Continual Learning
Create and Find Flatness: Building Flat Training Spaces in Advance for Continual Learning
Wenhang Shi
Yiren Chen
Zhe Zhao
Wei Lu
Kimmo Yan
Xiaoyong Du
CLL
76
5
0
20 Sep 2023
RECALL+: Adversarial Web-based Replay for Continual Learning in Semantic
  Segmentation
RECALL+: Adversarial Web-based Replay for Continual Learning in Semantic Segmentation
Chang Liu
Giulia Rizzoli
F. Barbato
Andrea Maracani
Marco Toldo
Umberto Michieli
Yi Niu
Pietro Zanuttigh
CLL
75
2
0
19 Sep 2023
AR-TTA: A Simple Method for Real-World Continual Test-Time Adaptation
AR-TTA: A Simple Method for Real-World Continual Test-Time Adaptation
Damian Sójka
Sebastian Cygert
Bartlomiej Twardowski
Tomasz Trzciñski
TTA
53
8
0
18 Sep 2023
Looking through the past: better knowledge retention for generative
  replay in continual learning
Looking through the past: better knowledge retention for generative replay in continual learning
Valeriya Khan
Sebastian Cygert
Kamil Deja
Tomasz Trzciñski
Bartlomiej Twardowski
75
7
0
18 Sep 2023
Adaptive Reorganization of Neural Pathways for Continual Learning with
  Spiking Neural Networks
Adaptive Reorganization of Neural Pathways for Continual Learning with Spiking Neural Networks
Bing Han
Feifei Zhao
Wenxuan Pan
Zhaoya Zhao
Xianqi Li
Qingqun Kong
Yi Zeng
CLL
41
4
0
18 Sep 2023
DFIL: Deepfake Incremental Learning by Exploiting Domain-invariant
  Forgery Clues
DFIL: Deepfake Incremental Learning by Exploiting Domain-invariant Forgery Clues
Kun Pan
Yifang Yin
Yao Wei
Feng Lin
Zhongjie Ba
Zhenguang Liu
Peng Kuang
Lorenzo Cavallaro
Kui Ren
CLL
109
17
0
18 Sep 2023
CaT: Balanced Continual Graph Learning with Graph Condensation
CaT: Balanced Continual Graph Learning with Graph Condensation
Yilun Liu
Ruihong Qiu
Zi Huang
DD
110
42
0
18 Sep 2023
FDCNet: Feature Drift Compensation Network for Class-Incremental Weakly
  Supervised Object Localization
FDCNet: Feature Drift Compensation Network for Class-Incremental Weakly Supervised Object Localization
Sejin Park
Taehyung Lee
Yeejin Lee
Byeongkeun Kang
WSOLCLL
81
5
0
17 Sep 2023
Towards Robust Continual Learning with Bayesian Adaptive Moment
  Regularization
Towards Robust Continual Learning with Bayesian Adaptive Moment Regularization
Jack Foster
Alexandra Brintrup
CLL
90
0
0
15 Sep 2023
Continual Learning with Deep Streaming Regularized Discriminant Analysis
Continual Learning with Deep Streaming Regularized Discriminant Analysis
Joe Khawand
P. Hanappe
David Colliaux
CLL
26
1
0
15 Sep 2023
VERSE: Virtual-Gradient Aware Streaming Lifelong Learning with Anytime
  Inference
VERSE: Virtual-Gradient Aware Streaming Lifelong Learning with Anytime Inference
S. Banerjee
Vinay Kumar Verma
Avideep Mukherjee
Deepak Gupta
Vinay P. Namboodiri
Piyush Rai
CLL
91
5
0
15 Sep 2023
Efficiently Robustify Pre-trained Models
Efficiently Robustify Pre-trained Models
Nishant Jain
Iit Roorkee
Harkirat Singh Behl
Vibhav Vineet
OODVLM
42
3
0
14 Sep 2023
Plasticity-Optimized Complementary Networks for Unsupervised Continual
  Learning
Plasticity-Optimized Complementary Networks for Unsupervised Continual Learning
Alex Gomez-Villa
Bartlomiej Twardowski
Kai Wang
Joost van de Weijer
SSLCLL
72
9
0
12 Sep 2023
MultIOD: Rehearsal-free Multihead Incremental Object Detector
MultIOD: Rehearsal-free Multihead Incremental Object Detector
Eden Belouadah
Arnaud Dapogny
Kévin Bailly
ObjDCLL
52
0
0
11 Sep 2023
Class-Incremental Grouping Network for Continual Audio-Visual Learning
Class-Incremental Grouping Network for Continual Audio-Visual Learning
Shentong Mo
Weiguo Pian
Yapeng Tian
CLLVLM
87
26
0
11 Sep 2023
Create Your World: Lifelong Text-to-Image Diffusion
Create Your World: Lifelong Text-to-Image Diffusion
Gan Sun
Wenqi Liang
Jiahua Dong
Jun Li
Zhengming Ding
Yang Cong
DiffMVLM
75
33
0
08 Sep 2023
Continual Evidential Deep Learning for Out-of-Distribution Detection
Continual Evidential Deep Learning for Out-of-Distribution Detection
Eduardo Aguilar
Bogdan Raducanu
Petia Radeva
Joost van de Weijer
OODDEDL
83
8
0
06 Sep 2023
Continual Improvement of Threshold-Based Novelty Detection
Continual Improvement of Threshold-Based Novelty Detection
Abe Ejilemele
Jorge Mendez-Mendez
57
0
0
05 Sep 2023
Instant Continual Learning of Neural Radiance Fields
Instant Continual Learning of Neural Radiance Fields
Ryan Po
Zhengyang Dong
Alexander W. Bergman
Gordon Wetzstein
CLL
86
10
0
04 Sep 2023
Efficient Curriculum based Continual Learning with Informative Subset
  Selection for Remote Sensing Scene Classification
Efficient Curriculum based Continual Learning with Informative Subset Selection for Remote Sensing Scene Classification
Divakar Bhat
Biplab Banerjee
S. Chaudhuri
A. Bhattacharya
CLL
53
0
0
03 Sep 2023
Jointly Exploring Client Drift and Catastrophic Forgetting in Dynamic
  Learning
Jointly Exploring Client Drift and Catastrophic Forgetting in Dynamic Learning
Niklas Babendererde
Moritz Fuchs
Camila González
Yuri Tolkach
Anirban Mukhopadhyay
OODFedML
71
2
0
01 Sep 2023
ScrollNet: Dynamic Weight Importance for Continual Learning
ScrollNet: Dynamic Weight Importance for Continual Learning
Fei Yang
Kai Wang
Joost van de Weijer
64
5
0
31 Aug 2023
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