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Large Scale Incremental Learning

Large Scale Incremental Learning

30 May 2019
Yue Wu
Yinpeng Chen
Lijuan Wang
Yuancheng Ye
Zicheng Liu
Yandong Guo
Y. Fu
    CLL
ArXivPDFHTML

Papers citing "Large Scale Incremental Learning"

50 / 246 papers shown
Title
Are Labels Needed for Incremental Instance Learning?
Are Labels Needed for Incremental Instance Learning?
Mert Kilickaya
Joaquin Vanschoren
CLL
SSL
47
1
0
26 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
37
93
0
14 Jan 2023
Sparse Coding in a Dual Memory System for Lifelong Learning
Sparse Coding in a Dual Memory System for Lifelong Learning
F. Sarfraz
Elahe Arani
Bahram Zonooz
CLL
21
20
0
28 Dec 2022
Bridging Images and Videos: A Simple Learning Framework for Large
  Vocabulary Video Object Detection
Bridging Images and Videos: A Simple Learning Framework for Large Vocabulary Video Object Detection
Sanghyun Woo
Kwanyong Park
Seoung Wug Oh
In So Kweon
Joon-Young Lee
VLM
VOS
28
6
0
20 Dec 2022
Task-Adaptive Saliency Guidance for Exemplar-free Class Incremental
  Learning
Task-Adaptive Saliency Guidance for Exemplar-free Class Incremental Learning
Xialei Liu
Jiang-Tian Zhai
Andrew D. Bagdanov
Ke Li
Mingg-Ming Cheng
CLL
33
4
0
16 Dec 2022
A soft nearest-neighbor framework for continual semi-supervised learning
A soft nearest-neighbor framework for continual semi-supervised learning
Zhiqi Kang
Enrico Fini
Moin Nabi
Elisa Ricci
Alahari Karteek
SSL
BDL
CLL
36
17
0
09 Dec 2022
PIVOT: Prompting for Video Continual Learning
PIVOT: Prompting for Video Continual Learning
Andrés Villa
Juan Carlos León Alcázar
Motasem Alfarra
Kumail Alhamoud
J. Hurtado
Fabian Caba Heilbron
Alvaro Soto
Guohao Li
VLM
CLL
45
45
0
09 Dec 2022
Single image calibration using knowledge distillation approaches
Single image calibration using knowledge distillation approaches
Khadidja Ould Amer
O. Hadjerci
Mohamed Abbas Hedjazi
Antoine Letienne
24
0
0
05 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
21
1
0
30 Nov 2022
Learning to Learn: How to Continuously Teach Humans and Machines
Learning to Learn: How to Continuously Teach Humans and Machines
Parantak Singh
You Li
Ankur Sikarwar
Weixian Lei
Daniel Gao
Morgan B. Talbot
Ying Sun
Mike Zheng Shou
Gabriel Kreiman
Mengmi Zhang
CLL
18
6
0
28 Nov 2022
FeTrIL: Feature Translation for Exemplar-Free Class-Incremental Learning
FeTrIL: Feature Translation for Exemplar-Free Class-Incremental Learning
Grégoire Petit
Adrian Daniel Popescu
Hugo Schindler
David Picard
Bertrand Delezoide
CLL
30
113
0
23 Nov 2022
Cooperative data-driven modeling
Cooperative data-driven modeling
Aleksandr Dekhovich
O. T. Turan
Jiaxiang Yi
Miguel A. Bessa
CLL
KELM
AI4CE
19
5
0
23 Nov 2022
Exemplar-free Continual Learning of Vision Transformers via Gated
  Class-Attention and Cascaded Feature Drift Compensation
Exemplar-free Continual Learning of Vision Transformers via Gated Class-Attention and Cascaded Feature Drift Compensation
Marco Cotogni
Fei Yang
C. Cusano
Andrew D. Bagdanov
Joost van de Weijer
CLL
30
0
0
22 Nov 2022
Unveiling the Tapestry: the Interplay of Generalization and Forgetting
  in Continual Learning
Unveiling the Tapestry: the Interplay of Generalization and Forgetting in Continual Learning
Zenglin Shi
Jing Jie
Ying Sun
J. Lim
Mengmi Zhang
CLL
44
1
0
21 Nov 2022
Cold Start Streaming Learning for Deep Networks
Cold Start Streaming Learning for Deep Networks
Cameron R. Wolfe
Anastasios Kyrillidis
CLL
23
2
0
09 Nov 2022
A Theoretical Study on Solving Continual Learning
A Theoretical Study on Solving Continual Learning
Gyuhak Kim
Changnan Xiao
Tatsuya Konishi
Zixuan Ke
Bin Liu
CLL
27
71
0
04 Nov 2022
ALIFE: Adaptive Logit Regularizer and Feature Replay for Incremental
  Semantic Segmentation
ALIFE: Adaptive Logit Regularizer and Feature Replay for Incremental Semantic Segmentation
Youngmin Oh
Donghyeon Baek
Bumsub Ham
CLL
22
25
0
13 Oct 2022
Schedule-Robust Online Continual Learning
Schedule-Robust Online Continual Learning
Ruohan Wang
Marco Ciccone
Giulia Luise
A. Yapp
Massimiliano Pontil
C. Ciliberto
CLL
37
4
0
11 Oct 2022
Continual Learning by Modeling Intra-Class Variation
Continual Learning by Modeling Intra-Class Variation
L. Yu
Tianyang Hu
Lanqing Hong
Zhen Liu
Adrian Weller
Weiyang Liu
CLL
56
12
0
11 Oct 2022
Learning "O" Helps for Learning More: Handling the Concealed Entity
  Problem for Class-incremental NER
Learning "O" Helps for Learning More: Handling the Concealed Entity Problem for Class-incremental NER
Ruotian Ma
Xuanting Chen
Lin Zhang
Xin Zhou
Junzhe Wang
Tao Gui
Qi Zhang
Xiang Gao
Yunwen Chen
54
8
0
10 Oct 2022
Learning Robust Representations for Continual Relation Extraction via
  Adversarial Class Augmentation
Learning Robust Representations for Continual Relation Extraction via Adversarial Class Augmentation
Peiyi Wang
Yifan Song
Tianyu Liu
Binghuai Lin
Yunbo Cao
Sujian Li
Zhifang Sui
CLL
SLR
37
22
0
10 Oct 2022
A Simple Baseline that Questions the Use of Pretrained-Models in
  Continual Learning
A Simple Baseline that Questions the Use of Pretrained-Models in Continual Learning
Paul Janson
Wenxuan Zhang
Rahaf Aljundi
Mohamed Elhoseiny
VLM
SSL
CLL
32
52
0
10 Oct 2022
CLIP model is an Efficient Continual Learner
CLIP model is an Efficient Continual Learner
Vishal Thengane
Salman Khan
Munawar Hayat
Fahad Shahbaz Khan
BDL
VLM
CLL
117
46
0
06 Oct 2022
Distance Based Image Classification: A solution to generative
  classification's conundrum?
Distance Based Image Classification: A solution to generative classification's conundrum?
Wen-Yan Lin
Siying Liu
B. Dai
Hongdong Li
VLM
37
2
0
04 Oct 2022
Towards Regression-Free Neural Networks for Diverse Compute Platforms
Towards Regression-Free Neural Networks for Diverse Compute Platforms
Rahul Duggal
Hao Zhou
Shuo Yang
Jun Fang
Yuanjun Xiong
Wei Xia
UQCV
36
1
0
27 Sep 2022
Improving Replay-Based Continual Semantic Segmentation with Smart Data
  Selection
Improving Replay-Based Continual Semantic Segmentation with Smart Data Selection
Tobias Kalb
Björn Mauthe
Jürgen Beyerer
CLL
32
10
0
20 Sep 2022
Few-shot Incremental Event Detection
Few-shot Incremental Event Detection
Hao Wang
Hanwen Shi
Jianyong Duan
19
2
0
05 Sep 2022
A Multi-Head Model for Continual Learning via Out-of-Distribution Replay
A Multi-Head Model for Continual Learning via Out-of-Distribution Replay
Gyuhak Kim
Zixuan Ke
Bin Liu
VLM
CLL
OODD
25
29
0
20 Aug 2022
Continual Prune-and-Select: Class-incremental learning with specialized
  subnetworks
Continual Prune-and-Select: Class-incremental learning with specialized subnetworks
Aleksandr Dekhovich
David Tax
M. Sluiter
Miguel A. Bessa
CLL
26
20
0
09 Aug 2022
Towards lifelong learning of Recurrent Neural Networks for control
  design
Towards lifelong learning of Recurrent Neural Networks for control design
Fabio Bonassi
Jing Xie
M. Farina
R. Scattolini
CLL
28
4
0
08 Aug 2022
Progressive Voronoi Diagram Subdivision: Towards A Holistic Geometric
  Framework for Exemplar-free Class-Incremental Learning
Progressive Voronoi Diagram Subdivision: Towards A Holistic Geometric Framework for Exemplar-free Class-Incremental Learning
Chunwei Ma
Zhanghexuan Ji
Ziyun Huang
Yan Shen
Mingchen Gao
Jinhui Xu
33
1
0
28 Jul 2022
S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for
  Domain Incremental Learning
S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for Domain Incremental Learning
Yabin Wang
Zhiwu Huang
Xiaopeng Hong
CLL
VLM
27
213
0
26 Jul 2022
Novel Class Discovery without Forgetting
Novel Class Discovery without Forgetting
K. J. Joseph
S. Paul
Gaurav Aggarwal
Soma Biswas
Piyush Rai
Kai Han
V. Balasubramanian
CLL
54
43
0
21 Jul 2022
ILASR: Privacy-Preserving Incremental Learning for Automatic Speech
  Recognition at Production Scale
ILASR: Privacy-Preserving Incremental Learning for Automatic Speech Recognition at Production Scale
Gopinath Chennupati
Milind Rao
Gurpreet Chadha
Aaron Eakin
A. Raju
...
Andrew Oberlin
Buddha Nandanoor
Prahalad Venkataramanan
Zheng Wu
Pankaj Sitpure
CLL
27
8
0
19 Jul 2022
Class-incremental Novel Class Discovery
Class-incremental Novel Class Discovery
Subhankar Roy
Mingxuan Liu
Zhun Zhong
N. Sebe
Elisa Ricci
CLL
33
43
0
18 Jul 2022
Multi-Granularity Regularized Re-Balancing for Class Incremental
  Learning
Multi-Granularity Regularized Re-Balancing for Class Incremental Learning
Huitong Chen
Yu Wang
Q. Hu
CLL
38
16
0
30 Jun 2022
TKIL: Tangent Kernel Approach for Class Balanced Incremental Learning
TKIL: Tangent Kernel Approach for Class Balanced Incremental Learning
Jinlin Xiang
Eli Shlizerman
CLL
19
8
0
17 Jun 2022
Towards Diverse Evaluation of Class Incremental Learning: A
  Representation Learning Perspective
Towards Diverse Evaluation of Class Incremental Learning: A Representation Learning Perspective
Sungmin Cha
Jihwan Kwak
Dongsub Shim
Hyunwoo J. Kim
Moontae Lee
Honglak Lee
Taesup Moon
CLL
30
1
0
16 Jun 2022
Incremental Learning Meets Transfer Learning: Application to Multi-site
  Prostate MRI Segmentation
Incremental Learning Meets Transfer Learning: Application to Multi-site Prostate MRI Segmentation
Chenyu You
Jinlin Xiang
Kun Su
Xiaoran Zhang
Siyuan Dong
J. Onofrey
Lawrence H. Staib
James S. Duncan
CLL
28
51
0
03 Jun 2022
ACIL: Analytic Class-Incremental Learning with Absolute Memorization and
  Privacy Protection
ACIL: Analytic Class-Incremental Learning with Absolute Memorization and Privacy Protection
Huiping Zhuang
Zhenyu Weng
Hongxin Wei
Renchunzi Xie
Kar-Ann Toh
Zhiping Lin
CLL
35
35
0
30 May 2022
A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental
  Learning
A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning
Da-Wei Zhou
Qiwen Wang
Han-Jia Ye
De-Chuan Zhan
31
124
0
26 May 2022
Self-distilled Knowledge Delegator for Exemplar-free Class Incremental
  Learning
Self-distilled Knowledge Delegator for Exemplar-free Class Incremental Learning
Fanfan Ye
Liang Ma
Qiaoyong Zhong
Di Xie
Shiliang Pu
BDL
CLL
21
2
0
23 May 2022
Incremental Learning with Differentiable Architecture and Forgetting
  Search
Incremental Learning with Differentiable Architecture and Forgetting Search
James Smith
Zachary Seymour
Han-Pang Chiu
OOD
CLL
AI4CE
49
4
0
19 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
34
7
0
11 May 2022
Explain to Not Forget: Defending Against Catastrophic Forgetting with
  XAI
Explain to Not Forget: Defending Against Catastrophic Forgetting with XAI
Sami Ede
Serop Baghdadlian
Leander Weber
A. Nguyen
Dario Zanca
Wojciech Samek
Sebastian Lapuschkin
CLL
27
6
0
04 May 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
19
4
0
26 Apr 2022
Alleviating Representational Shift for Continual Fine-tuning
Alleviating Representational Shift for Continual Fine-tuning
Shibo Jie
Zhi-Hong Deng
Ziheng Li
CLL
40
11
0
22 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
KELM
CLL
22
29
0
15 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
35
31
0
12 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
CLL
VLM
VPVLM
36
463
0
10 Apr 2022
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