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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
Continual learning on 3D point clouds with random compressed rehearsal
Continual learning on 3D point clouds with random compressed rehearsal
M. Zamorski
Michal Stypulkowski
Konrad Karanowski
Tomasz Trzciñski
Maciej Ziȩba
3DPC
63
11
0
16 May 2022
Learning Representations for New Sound Classes With Continual
  Self-Supervised Learning
Learning Representations for New Sound Classes With Continual Self-Supervised Learning
Zhepei Wang
Cem Subakan
Xilin Jiang
Junkai Wu
Efthymios Tzinis
Mirco Ravanelli
Paris Smaragdis
CLLSSL
123
19
0
15 May 2022
Contrastive Supervised Distillation for Continual Representation
  Learning
Contrastive Supervised Distillation for Continual Representation Learning
Tommaso Barletti
Niccoló Biondi
F. Pernici
Matteo Bruni
A. Bimbo
CLL
70
7
0
11 May 2022
A Continual Deepfake Detection Benchmark: Dataset, Methods, and
  Essentials
A Continual Deepfake Detection Benchmark: Dataset, Methods, and Essentials
Chuqiao Li
Zhiwu Huang
D. Paudel
Yabin Wang
Mohamad Shahbazi
Xiaopeng Hong
Luc Van Gool
116
50
0
11 May 2022
Online Unsupervised Domain Adaptation for Person Re-identification
Online Unsupervised Domain Adaptation for Person Re-identification
Hamza Rami
Matthieu Ospici
Stéphane Lathuilière
OOD
71
11
0
09 May 2022
Combining Humor and Sarcasm for Improving Political Parody Detection
Combining Humor and Sarcasm for Improving Political Parody Detection
Xiao Ao
Danae Sánchez Villegas
Daniel Preoctiuc-Pietro
Nikolaos Aletras
31
8
0
06 May 2022
Forget Less, Count Better: A Domain-Incremental Self-Distillation
  Learning Benchmark for Lifelong Crowd Counting
Forget Less, Count Better: A Domain-Incremental Self-Distillation Learning Benchmark for Lifelong Crowd Counting
Jiaqi Gao
Jingqi Li
Hongming Shan
Yanyun Qu
Jianmin Wang
Fei-Yue Wang
Junping Zhang
97
21
0
06 May 2022
Lifelong Ensemble Learning based on Multiple Representations for
  Few-Shot Object Recognition
Lifelong Ensemble Learning based on Multiple Representations for Few-Shot Object Recognition
Hamidreza Kasaei
Songsong Xiong
73
13
0
04 May 2022
Generalized Knowledge Distillation via Relationship Matching
Generalized Knowledge Distillation via Relationship Matching
Han-Jia Ye
Su Lu
De-Chuan Zhan
FedML
75
21
0
04 May 2022
Meta Learning for Natural Language Processing: A Survey
Meta Learning for Natural Language Processing: A Survey
Hung-yi Lee
Shang-Wen Li
Ngoc Thang Vu
100
45
0
03 May 2022
DIRA: Dynamic Domain Incremental Regularised Adaptation
DIRA: Dynamic Domain Incremental Regularised Adaptation
Abanoub Ghobrial
Xu Zheng
Darryl Hond
Hamid Asgari
Kerstin Eder
AI4CE
103
1
0
30 Apr 2022
Continual Learning with Bayesian Model based on a Fixed Pre-trained
  Feature Extractor
Continual Learning with Bayesian Model based on a Fixed Pre-trained Feature Extractor
Yang Yang
Z. Cui
Junjie Xu
Changhong Zhong
Weishi Zheng
Ruixuan Wang
MedImBDLOOD
57
36
0
28 Apr 2022
Continual Learning for Peer-to-Peer Federated Learning: A Study on
  Automated Brain Metastasis Identification
Continual Learning for Peer-to-Peer Federated Learning: A Study on Automated Brain Metastasis Identification
Yixing Huang
Christoph Bert
Stefan Fischer
Manuel Schmidt
Arnd Dörfler
Andreas Maier
R. Fietkau
F. Putz
FedMLCLLOODMedIm
81
17
0
26 Apr 2022
Improving Feature Generalizability with Multitask Learning in Class
  Incremental Learning
Improving Feature Generalizability with Multitask Learning in Class Incremental Learning
Dongpeng Ma
Chi Ian Tang
Cecilia Mascolo
CLL
41
4
0
26 Apr 2022
Theoretical Understanding of the Information Flow on Continual Learning
  Performance
Theoretical Understanding of the Information Flow on Continual Learning Performance
Joshua Andle
Salimeh Yasaei Sekeh
CLL
68
8
0
26 Apr 2022
Multi-Head Distillation for Continual Unsupervised Domain Adaptation in
  Semantic Segmentation
Multi-Head Distillation for Continual Unsupervised Domain Adaptation in Semantic Segmentation
A. Saporta
Arthur Douillard
Tuan-Hung Vu
Patrick Pérez
Matthieu Cord
CLL
97
21
0
25 Apr 2022
Joint Feature Distribution Alignment Learning for NIR-VIS and VIS-VIS
  Face Recognition
Joint Feature Distribution Alignment Learning for NIR-VIS and VIS-VIS Face Recognition
T. Miyamoto
H. Hashimoto
Akihiro Hayasaka
Akinori F. Ebihara
Hitoshi Imaoka
CVBM
56
5
0
25 Apr 2022
Spacing Loss for Discovering Novel Categories
Spacing Loss for Discovering Novel Categories
K. J. Joseph
S. Paul
Gaurav Aggarwal
Soma Biswas
Piyush Rai
Kai Han
V. Balasubramanian
74
15
0
22 Apr 2022
Understanding and Preventing Capacity Loss in Reinforcement Learning
Understanding and Preventing Capacity Loss in Reinforcement Learning
Clare Lyle
Mark Rowland
Will Dabney
CLL
105
116
0
20 Apr 2022
Learning to Imagine: Diversify Memory for Incremental Learning using
  Unlabeled Data
Learning to Imagine: Diversify Memory for Incremental Learning using Unlabeled Data
Yujin Tang
Yifan Peng
Weishi Zheng
CLL
73
31
0
19 Apr 2022
An Efficient Domain-Incremental Learning Approach to Drive in All
  Weather Conditions
An Efficient Domain-Incremental Learning Approach to Drive in All Weather Conditions
M. Jehanzeb Mirza
Marc Masana
Horst Possegger
Horst Bischof
CLL
91
84
0
19 Apr 2022
Modeling Missing Annotations for Incremental Learning in Object
  Detection
Modeling Missing Annotations for Incremental Learning in Object Detection
Fabio Cermelli
Antonino Geraci
Dario Fontanel
Barbara Caputo
CLL
111
24
0
19 Apr 2022
Incremental Prompting: Episodic Memory Prompt for Lifelong Event
  Detection
Incremental Prompting: Episodic Memory Prompt for Lifelong Event Detection
Minqian Liu
Shiyu Chang
Lifu Huang
KELMCLL
88
29
0
15 Apr 2022
Self-Supervised Traffic Advisors: Distributed, Multi-view Traffic
  Prediction for Smart Cities
Self-Supervised Traffic Advisors: Distributed, Multi-view Traffic Prediction for Smart Cities
Jiankai Sun
Shreyas Kousik
David Fridovich-Keil
Mac Schwager
61
5
0
13 Apr 2022
Generative Negative Replay for Continual Learning
Generative Negative Replay for Continual Learning
G. Graffieti
Davide Maltoni
Lorenzo Pellegrini
Vincenzo Lomonaco
83
13
0
12 Apr 2022
LifeLonger: A Benchmark for Continual Disease Classification
LifeLonger: A Benchmark for Continual Disease Classification
Mohammad Mahdi Derakhshani
Ivona Najdenkoska
Tom van Sonsbeek
Xiantong Zhen
Dwarikanath Mahapatra
M. Worring
Cees G. M. Snoek
61
31
0
12 Apr 2022
Out-Of-Distribution Detection In Unsupervised Continual Learning
Out-Of-Distribution Detection In Unsupervised Continual Learning
Jiangpeng He
Fengqing Zhu
OODD
51
9
0
12 Apr 2022
CFA: Constraint-based Finetuning Approach for Generalized Few-Shot
  Object Detection
CFA: Constraint-based Finetuning Approach for Generalized Few-Shot Object Detection
Karim Guirguis
Ahmed Hendawy
George Eskandar
Mohamed Abdelsamad
Matthias Kayser
Jürgen Beyerer
61
16
0
11 Apr 2022
DualPrompt: Complementary Prompting for Rehearsal-free Continual
  Learning
DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning
Zifeng Wang
Zizhao Zhang
Sayna Ebrahimi
Ruoxi Sun
Han Zhang
...
Xiaoqi Ren
Guolong Su
Vincent Perot
Jennifer Dy
Tomas Pfister
CLLVLMVPVLM
134
506
0
10 Apr 2022
FOSTER: Feature Boosting and Compression for Class-Incremental Learning
FOSTER: Feature Boosting and Compression for Class-Incremental Learning
Fu Lee Wang
Da-Wei Zhou
Han-Jia Ye
De-Chuan Zhan
CLL
97
262
0
10 Apr 2022
Class-Incremental Learning with Strong Pre-trained Models
Class-Incremental Learning with Strong Pre-trained Models
Tz-Ying Wu
Gurumurthy Swaminathan
Zhizhong Li
Avinash Ravichandran
Nuno Vasconcelos
Rahul Bhotika
Stefano Soatto
CLL
139
67
0
07 Apr 2022
Incremental Prototype Tuning for Class Incremental Learning
Incremental Prototype Tuning for Class Incremental Learning
Jieren Deng
Jianhua Hu
Haojian Zhang
Yunkuan Wang
CLLVLM
104
3
0
07 Apr 2022
Efficient Test-Time Model Adaptation without Forgetting
Efficient Test-Time Model Adaptation without Forgetting
Shuaicheng Niu
Jiaxiang Wu
Yifan Zhang
Yaofo Chen
S. Zheng
P. Zhao
Mingkui Tan
OODVLMTTA
100
354
0
06 Apr 2022
Federated Cross Learning for Medical Image Segmentation
Federated Cross Learning for Medical Image Segmentation
Xuanang Xu
H. Deng
Tianyi Chen
Tianshu Kuang
J. C. Barber
Daeseung Kim
J. Gateno
J. Xia
Pingkun Yan
FedMLOOD
84
19
0
05 Apr 2022
Overcoming Catastrophic Forgetting in Incremental Object Detection via
  Elastic Response Distillation
Overcoming Catastrophic Forgetting in Incremental Object Detection via Elastic Response Distillation
Tao Feng
Mang Wang
Hangjie Yuan
ObjDCLL
105
92
0
05 Apr 2022
Attention Distraction: Watermark Removal Through Continual Learning with
  Selective Forgetting
Attention Distraction: Watermark Removal Through Continual Learning with Selective Forgetting
Qi Zhong
L. Zhang
Shengshan Hu
Longxiang Gao
Jun Zhang
Yang Xiang
WIGMAAML
79
5
0
05 Apr 2022
Re-examining Distillation For Continual Object Detection
Re-examining Distillation For Continual Object Detection
Eli Verwimp
Kuo Yang
Sarah Parisot
Hong Lanqing
Jingyu Sun
Eduardo Pérez-Pellitero
Matthias De Lange
Tinne Tuytelaars
VLM
111
6
0
04 Apr 2022
Class-Incremental Learning by Knowledge Distillation with Adaptive
  Feature Consolidation
Class-Incremental Learning by Knowledge Distillation with Adaptive Feature Consolidation
Minsoo Kang
Jaeyoo Park
Bohyung Han
CLL
103
191
0
02 Apr 2022
A Closer Look at Rehearsal-Free Continual Learning
A Closer Look at Rehearsal-Free Continual Learning
James Smith
Junjiao Tian
Shaunak Halbe
Yen-Chang Hsu
Z. Kira
VLMCLL
116
67
0
31 Mar 2022
Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks
Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks
Da-Wei Zhou
Han-Jia Ye
Liang Ma
Di Xie
Shiliang Pu
De-Chuan Zhan
CLL
110
129
0
31 Mar 2022
Task Adaptive Parameter Sharing for Multi-Task Learning
Task Adaptive Parameter Sharing for Multi-Task Learning
Matthew Wallingford
Hao Li
Alessandro Achille
Avinash Ravichandran
Charless C. Fowlkes
Rahul Bhotika
Stefano Soatto
MoMe
88
63
0
30 Mar 2022
Unseen Classes at a Later Time? No Problem
Unseen Classes at a Later Time? No Problem
Hari Chandana Kuchibhotla
Sumitra S Malagi
Shivam Chandhok
V. Balasubramanian
CLL
87
10
0
30 Mar 2022
Energy-based Latent Aligner for Incremental Learning
Energy-based Latent Aligner for Incremental Learning
K. J. Joseph
Salman Khan
Fahad Shahbaz Khan
Rao Muhammad Anwer
V. Balasubramanian
CLL
96
48
0
28 Mar 2022
Doodle It Yourself: Class Incremental Learning by Drawing a Few Sketches
Doodle It Yourself: Class Incremental Learning by Drawing a Few Sketches
A. Bhunia
Viswanatha Reddy Gajjala
Subhadeep Koley
Rohit Kundu
Aneeshan Sain
Tao Xiang
Yi-Zhe Song
CLL
90
30
0
28 Mar 2022
Gradient-Matching Coresets for Rehearsal-Based Continual Learning
Gradient-Matching Coresets for Rehearsal-Based Continual Learning
Lukas Balles
Giovanni Zappella
Cédric Archambeau
CLL
55
3
0
28 Mar 2022
Uncertainty-aware Contrastive Distillation for Incremental Semantic
  Segmentation
Uncertainty-aware Contrastive Distillation for Incremental Semantic Segmentation
Guanglei Yang
Enrico Fini
Dan Xu
Paolo Rota
Mingli Ding
Moin Nabi
Xavier Alameda-Pineda
Elisa Ricci
CLL
82
67
0
26 Mar 2022
Knowledge Distillation with the Reused Teacher Classifier
Knowledge Distillation with the Reused Teacher Classifier
Defang Chen
Jianhan Mei
Hailin Zhang
C. Wang
Yan Feng
Chun-Yen Chen
101
173
0
26 Mar 2022
Class-Incremental Learning for Action Recognition in Videos
Class-Incremental Learning for Action Recognition in Videos
Jaeyoo Park
Minsoo Kang
Bohyung Han
CLL
84
52
0
25 Mar 2022
Continual Test-Time Domain Adaptation
Continual Test-Time Domain Adaptation
Qin Wang
Olga Fink
Luc Van Gool
Dengxin Dai
OODTTA
114
434
0
25 Mar 2022
Probing Representation Forgetting in Supervised and Unsupervised
  Continual Learning
Probing Representation Forgetting in Supervised and Unsupervised Continual Learning
Mohammad-Javad Davari
Nader Asadi
Sudhir Mudur
Rahaf Aljundi
Eugene Belilovsky
CLLKELM
60
77
0
24 Mar 2022
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