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Maintaining Discrimination and Fairness in Class Incremental Learning

Maintaining Discrimination and Fairness in Class Incremental Learning

16 November 2019
Bowen Zhao
Xi Xiao
Guojun Gan
Bin Zhang
Shutao Xia
    CLL
ArXiv (abs)PDFHTML

Papers citing "Maintaining Discrimination and Fairness in Class Incremental Learning"

50 / 234 papers shown
Title
Heterogeneous Forgetting Compensation for Class-Incremental Learning
Heterogeneous Forgetting Compensation for Class-Incremental Learning
Jiahua Dong
Wenqi Liang
Yang Cong
Gan Sun
CLL
105
21
0
07 Aug 2023
Neural Collapse Terminus: A Unified Solution for Class Incremental
  Learning and Its Variants
Neural Collapse Terminus: A Unified Solution for Class Incremental Learning and Its Variants
Yibo Yang
Haobo Yuan
Hefei Ling
Jianlong Wu
Lefei Zhang
Zhouchen Lin
Philip Torr
Dacheng Tao
Guohao Li
CLL
96
11
0
03 Aug 2023
Balanced Destruction-Reconstruction Dynamics for Memory-replay Class
  Incremental Learning
Balanced Destruction-Reconstruction Dynamics for Memory-replay Class Incremental Learning
Yuhang Zhou
Jiangchao Yao
Feng Hong
Ya Zhang
Yanfeng Wang
80
6
0
03 Aug 2023
Revisiting Distillation for Continual Learning on Visual Question
  Localized-Answering in Robotic Surgery
Revisiting Distillation for Continual Learning on Visual Question Localized-Answering in Robotic Surgery
Long Bai
Mobarakol Islam
Hongliang Ren
83
19
0
22 Jul 2023
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual
  Learning
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning
Zhenyi Wang
Enneng Yang
Li Shen
Heng-Chiao Huang
KELMMU
98
52
0
16 Jul 2023
Improving the Efficiency of Human-in-the-Loop Systems: Adding Artificial
  to Human Experts
Improving the Efficiency of Human-in-the-Loop Systems: Adding Artificial to Human Experts
Johannes Jakubik
Daniel Weber
Patrick Hemmer
Michael Vossing
G. Satzger
74
2
0
06 Jul 2023
S3C: Self-Supervised Stochastic Classifiers for Few-Shot
  Class-Incremental Learning
S3C: Self-Supervised Stochastic Classifiers for Few-Shot Class-Incremental Learning
Jaya Kalla
Soma Biswas
CLL
54
39
0
05 Jul 2023
Long-Tailed Continual Learning For Visual Food Recognition
Long-Tailed Continual Learning For Visual Food Recognition
Jiangpeng He
Luotao Lin
Jack Ma
H. Eicher-Miller
Fengqing Zhu
Fengqing M Zhu
178
14
0
01 Jul 2023
Continual Learners are Incremental Model Generalizers
Continual Learners are Incremental Model Generalizers
Jaehong Yoon
Sung Ju Hwang
Yu Cao
CLL
86
5
0
21 Jun 2023
One-Shot Machine Unlearning with Mnemonic Code
One-Shot Machine Unlearning with Mnemonic Code
Tomoya Yamashita
Masanori Yamada
Takashi Shibata
MU
32
2
0
09 Jun 2023
Teacher Agent: A Knowledge Distillation-Free Framework for
  Rehearsal-based Video Incremental Learning
Teacher Agent: A Knowledge Distillation-Free Framework for Rehearsal-based Video Incremental Learning
Shengqin Jiang
Yao-Huei Fang
Haokui Zhang
Qingshan Liu
Yuankai Qi
Yang Yang
Peifeng Wang
CLL
61
0
0
01 Jun 2023
Learning without Forgetting for Vision-Language Models
Learning without Forgetting for Vision-Language Models
Da-Wei Zhou
Yuanhan Zhang
Jingyi Ning
Jingyi Ning
De-Chuan Zhan
De-Chuan Zhan
Ziwei Liu
VLMCLL
138
44
0
30 May 2023
Condensed Prototype Replay for Class Incremental Learning
Condensed Prototype Replay for Class Incremental Learning
Jiangtao Kong
Zhenyu Zong
Dinesh Manocha
Huajie Shao
78
2
0
25 May 2023
Fairness Continual Learning Approach to Semantic Scene Understanding in
  Open-World Environments
Fairness Continual Learning Approach to Semantic Scene Understanding in Open-World Environments
Thanh-Dat Truong
Hoang-Quan Nguyen
Bhiksha Raj
Khoa Luu
CLL
114
14
0
25 May 2023
MRN: Multiplexed Routing Network for Incremental Multilingual Text
  Recognition
MRN: Multiplexed Routing Network for Incremental Multilingual Text Recognition
Tianlun Zheng
Zhineng Chen
Bin Huang
Wei Zhang
Yuran Jiang
99
11
0
24 May 2023
Dealing with Cross-Task Class Discrimination in Online Continual
  Learning
Dealing with Cross-Task Class Discrimination in Online Continual Learning
Yiduo Guo
Bing-Quan Liu
Dongyan Zhao
CLL
90
24
0
24 May 2023
Adapter Learning in Pretrained Feature Extractor for Continual Learning
  of Diseases
Adapter Learning in Pretrained Feature Extractor for Continual Learning of Diseases
Wentao Zhang
Yujun Huang
Tong Zhang
Qingsong Zou
Weishi Zheng
Ruixuan Wang
CLLMedIm
71
12
0
18 Apr 2023
Non-exemplar Class-incremental Learning by Random Auxiliary Classes
  Augmentation and Mixed Features
Non-exemplar Class-incremental Learning by Random Auxiliary Classes Augmentation and Mixed Features
Kenny Song
Quan Xia
Guoqiang Liang
Zhaoji Chen
Yanning Zhang
CLL
55
6
0
16 Apr 2023
PCR: Proxy-based Contrastive Replay for Online Class-Incremental
  Continual Learning
PCR: Proxy-based Contrastive Replay for Online Class-Incremental Continual Learning
Huiwei Lin
Baoquan Zhang
Shanshan Feng
Xutao Li
Yunming Ye
CLL
81
60
0
10 Apr 2023
CLVOS23: A Long Video Object Segmentation Dataset for Continual Learning
CLVOS23: A Long Video Object Segmentation Dataset for Continual Learning
Amir Nazemi
Zeyad Moustafa
Paul Fieguth
VOSCLL
77
5
0
09 Apr 2023
CILIATE: Towards Fairer Class-based Incremental Learning by Dataset and
  Training Refinement
CILIATE: Towards Fairer Class-based Incremental Learning by Dataset and Training Refinement
Xuan Gao
Juan Zhai
Shiqing Ma
Chao Shen
Yufei Chen
Shiwei Wang
63
2
0
09 Apr 2023
Continual Detection Transformer for Incremental Object Detection
Continual Detection Transformer for Incremental Object Detection
Yaoyao Liu
Bernt Schiele
Andrea Vedaldi
Christian Rupprecht
CLL
81
55
0
06 Apr 2023
Cross-Class Feature Augmentation for Class Incremental Learning
Cross-Class Feature Augmentation for Class Incremental Learning
Taehoon Kim
Jaeyoo Park
Bohyung Han
CLL
57
5
0
04 Apr 2023
On the Stability-Plasticity Dilemma of Class-Incremental Learning
On the Stability-Plasticity Dilemma of Class-Incremental Learning
Dongwan Kim
Bohyung Han
CLL
58
52
0
04 Apr 2023
Knowledge Accumulation in Continually Learned Representations and the
  Issue of Feature Forgetting
Knowledge Accumulation in Continually Learned Representations and the Issue of Feature Forgetting
Timm Hess
Eli Verwimp
Gido M. van de Ven
Tinne Tuytelaars
CLL
122
9
0
03 Apr 2023
How Efficient Are Today's Continual Learning Algorithms?
How Efficient Are Today's Continual Learning Algorithms?
Md Yousuf Harun
Jhair Gallardo
Tyler L. Hayes
Christopher Kanan
94
24
0
29 Mar 2023
Semantic-visual Guided Transformer for Few-shot Class-incremental
  Learning
Semantic-visual Guided Transformer for Few-shot Class-incremental Learning
Wen-Qiang Qiu
Sichao Fu
Jingyi Zhang
Chengxiang Lei
Qinmu Peng
64
11
0
27 Mar 2023
Class-Incremental Exemplar Compression for Class-Incremental Learning
Class-Incremental Exemplar Compression for Class-Incremental Learning
Zilin Luo
Yaoyao Liu
Bernt Schiele
Qianru Sun
VLMCLL
147
49
0
24 Mar 2023
Remind of the Past: Incremental Learning with Analogical Prompts
Remind of the Past: Incremental Learning with Analogical Prompts
Zhiheng Ma
Xiaopeng Hong
Beinan Liu
Yabin Wang
Pinyue Guo
Huiyun Li
CLL
84
1
0
24 Mar 2023
Two-level Graph Network for Few-Shot Class-Incremental Learning
Two-level Graph Network for Few-Shot Class-Incremental Learning
Hao Chen
Linyan Li
Fan Lyu
Fuyuan Hu
Zhenping Xia
Fenglei Xu
CLL
67
0
0
24 Mar 2023
Leveraging Old Knowledge to Continually Learn New Classes in Medical
  Images
Leveraging Old Knowledge to Continually Learn New Classes in Medical Images
Evelyn Chee
Mong Li Lee
Wynne Hsu
CLL
44
7
0
24 Mar 2023
First Session Adaptation: A Strong Replay-Free Baseline for
  Class-Incremental Learning
First Session Adaptation: A Strong Replay-Free Baseline for Class-Incremental Learning
A. Panos
Yuriko Kobe
Daniel Olmeda Reino
Rahaf Aljundi
Richard Turner
CLL
163
43
0
23 Mar 2023
AdaCL:Adaptive Continual Learning
AdaCL:Adaptive Continual Learning
Elif Ceren Gok
Murat Onur Yildirim
Mert Kilickaya
Joaquin Vanschoren
CLL
99
1
0
23 Mar 2023
Computationally Budgeted Continual Learning: What Does Matter?
Computationally Budgeted Continual Learning: What Does Matter?
Ameya Prabhu
Hasan Hammoud
P. Dokania
Philip Torr
Ser-Nam Lim
Guohao Li
Adel Bibi
CLL
80
64
0
20 Mar 2023
SIESTA: Efficient Online Continual Learning with Sleep
SIESTA: Efficient Online Continual Learning with Sleep
Md Yousuf Harun
Jhair Gallardo
Tyler L. Hayes
Ronald Kemker
Christopher Kanan
CLL
117
20
0
19 Mar 2023
Achieving a Better Stability-Plasticity Trade-off via Auxiliary Networks
  in Continual Learning
Achieving a Better Stability-Plasticity Trade-off via Auxiliary Networks in Continual Learning
Sang-Ho Kim
Lorenzo Noci
Antonio Orvieto
Thomas Hofmann
CLL
101
41
0
16 Mar 2023
Revisiting Class-Incremental Learning with Pre-Trained Models:
  Generalizability and Adaptivity are All You Need
Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need
Da-Wei Zhou
Han-Jia Ye
De-Chuan Zhan
Ziwei Liu
CLL
106
111
0
13 Mar 2023
TARGET: Federated Class-Continual Learning via Exemplar-Free
  Distillation
TARGET: Federated Class-Continual Learning via Exemplar-Free Distillation
Jie M. Zhang
Chen Chen
Weiming Zhuang
Lingjuan Lv
CLLFedML
82
54
0
13 Mar 2023
Knowledge Restore and Transfer for Multi-label Class-Incremental
  Learning
Knowledge Restore and Transfer for Multi-label Class-Incremental Learning
Songlin Dong
Haoyu Luo
Yuhang He
Xing Wei
Yihong Gong
KELMCLL
111
8
0
26 Feb 2023
Delving into Identify-Emphasize Paradigm for Combating Unknown Bias
Delving into Identify-Emphasize Paradigm for Combating Unknown Bias
Bowen Zhao
Chen Chen
Qian-Wei Wang
Anfeng He
Shutao Xia
94
1
0
22 Feb 2023
New Insights on Relieving Task-Recency Bias for Online Class Incremental
  Learning
New Insights on Relieving Task-Recency Bias for Online Class Incremental Learning
Guoqiang Liang
Zhaojie Chen
Zhaoqiang Chen
Shiyu Ji
Yanning Zhang
CLL
81
11
0
16 Feb 2023
Online Continual Learning via the Knowledge Invariant and Spread-out
  Properties
Online Continual Learning via the Knowledge Invariant and Spread-out Properties
Ya-nan Han
Jian Liu
CLL
84
8
0
02 Feb 2023
A Comprehensive Survey of Continual Learning: Theory, Method and
  Application
A Comprehensive Survey of Continual Learning: Theory, Method and Application
Liyuan Wang
Xingxing Zhang
Hang Su
Jun Zhu
KELMCLL
236
712
0
31 Jan 2023
DELTA: degradation-free fully test-time adaptation
DELTA: degradation-free fully test-time adaptation
Bowen Zhao
Chen Chen
Shutao Xia
TTA
171
62
0
30 Jan 2023
RMM: Reinforced Memory Management for Class-Incremental Learning
RMM: Reinforced Memory Management for Class-Incremental Learning
Yaoyao Liu
Bernt Schiele
Qianru Sun
CLL
89
96
0
14 Jan 2023
Resolving Task Confusion in Dynamic Expansion Architectures for Class
  Incremental Learning
Resolving Task Confusion in Dynamic Expansion Architectures for Class Incremental Learning
Bin Huang
Zhineng Chen
Peng Zhou
Jiayin Chen
Zuxuan Wu
CLL
70
22
0
29 Dec 2022
Evidential Deep Learning for Class-Incremental Semantic Segmentation
Evidential Deep Learning for Class-Incremental Semantic Segmentation
Karl Holmquist
Lena Klasén
Michael Felsberg
EDLCLL
54
6
0
06 Dec 2022
Continual Learning with Optimal Transport based Mixture Model
Continual Learning with Optimal Transport based Mixture Model
Quyen Tran
Hoang Phan
Khoat Than
Dinh Q. Phung
Trung Le
CLL
54
1
0
30 Nov 2022
Lifelong Person Re-Identification via Knowledge Refreshing and
  Consolidation
Lifelong Person Re-Identification via Knowledge Refreshing and Consolidation
Chunlin Yu
Ye-ling Shi
Zimo Liu
Shenghua Gao
Jingya Wang
KELMCLL
97
29
0
29 Nov 2022
Better Generalized Few-Shot Learning Even Without Base Data
Better Generalized Few-Shot Learning Even Without Base Data
Seongwoong Kim
Dong-Wan Choi
73
8
0
29 Nov 2022
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