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iCaRL: Incremental Classifier and Representation Learning
v1v2 (latest)

iCaRL: Incremental Classifier and Representation Learning

23 November 2016
Sylvestre-Alvise Rebuffi
Alexander Kolesnikov
G. Sperl
Christoph H. Lampert
    CLLOOD
ArXiv (abs)PDFHTML

Papers citing "iCaRL: Incremental Classifier and Representation Learning"

50 / 2,041 papers shown
Title
GAN Memory with No Forgetting
GAN Memory with No Forgetting
Yulai Cong
Miaoyun Zhao
Jianqiao Li
Sijia Wang
Lawrence Carin
CLL
80
124
0
13 Jun 2020
BI-MAML: Balanced Incremental Approach for Meta Learning
BI-MAML: Balanced Incremental Approach for Meta Learning
Yang Zheng
Jinlin Xiang
Kun Su
Eli Shlizerman
CLL
48
10
0
12 Jun 2020
CPR: Classifier-Projection Regularization for Continual Learning
CPR: Classifier-Projection Regularization for Continual Learning
Sungmin Cha
Hsiang Hsu
Taebaek Hwang
Flavio du Pin Calmon
Taesup Moon
CLL
77
77
0
12 Jun 2020
Towards Robust Pattern Recognition: A Review
Towards Robust Pattern Recognition: A Review
Xu-Yao Zhang
Cheng-Lin Liu
C. Suen
OODHAI
69
110
0
12 Jun 2020
Understanding the Role of Training Regimes in Continual Learning
Understanding the Role of Training Regimes in Continual Learning
Seyed Iman Mirzadeh
Mehrdad Farajtabar
Razvan Pascanu
H. Ghasemzadeh
CLL
81
228
0
12 Jun 2020
Unifying Regularisation Methods for Continual Learning
Unifying Regularisation Methods for Continual Learning
Frederik Benzing
CLL
77
8
0
11 Jun 2020
Dataset Condensation with Gradient Matching
Dataset Condensation with Gradient Matching
Bo Zhao
Konda Reddy Mopuri
Hakan Bilen
DD
170
505
0
10 Jun 2020
Self-Supervised Learning Aided Class-Incremental Lifelong Learning
Self-Supervised Learning Aided Class-Incremental Lifelong Learning
Song Zhang
Gehui Shen
Jinsong Huang
Zhihong Deng
CLL
81
14
0
10 Jun 2020
Variational Auto-Regressive Gaussian Processes for Continual Learning
Variational Auto-Regressive Gaussian Processes for Continual Learning
Sanyam Kapoor
Theofanis Karaletsos
T. Bui
BDL
83
26
0
09 Jun 2020
Optimal Continual Learning has Perfect Memory and is NP-hard
Optimal Continual Learning has Perfect Memory and is NP-hard
Jeremias Knoblauch
Hisham Husain
Tom Diethe
CLL
140
105
0
09 Jun 2020
Continual Representation Learning for Biometric Identification
Continual Representation Learning for Biometric Identification
Bo Zhao
Shixiang Tang
Dapeng Chen
Hakan Bilen
Rui Zhao
CLL
86
36
0
08 Jun 2020
Efficient Architecture Search for Continual Learning
Efficient Architecture Search for Continual Learning
Qiang Gao
Zhipeng Luo
Diego Klabjan
CLL
93
49
0
07 Jun 2020
Coresets via Bilevel Optimization for Continual Learning and Streaming
Coresets via Bilevel Optimization for Continual Learning and Streaming
Zalan Borsos
Mojmír Mutný
Andreas Krause
CLL
105
241
0
06 Jun 2020
MANTRA: Memory Augmented Networks for Multiple Trajectory Prediction
MANTRA: Memory Augmented Networks for Multiple Trajectory Prediction
Francesco Marchetti
Federico Becattini
Lorenzo Seidenari
A. Bimbo
78
121
0
05 Jun 2020
Continual Learning of Predictive Models in Video Sequences via
  Variational Autoencoders
Continual Learning of Predictive Models in Video Sequences via Variational Autoencoders
Damian Campo
Giulia Slavic
Mohamad Baydoun
L. Marcenaro
C. Regazzoni
CLLBDL
29
3
0
02 Jun 2020
Class-Incremental Learning for Semantic Segmentation Re-Using Neither
  Old Data Nor Old Labels
Class-Incremental Learning for Semantic Segmentation Re-Using Neither Old Data Nor Old Labels
Marvin Klingner
Andreas Bär
Philipp Donn
Tim Fingscheidt
CLL
163
45
0
12 May 2020
Incremental Few-Shot Object Detection for Robotics
Incremental Few-Shot Object Detection for Robotics
Yiting Li
H. Zhu
Sichao Tian
Fan Feng
Jun Ma
C. Teo
Cheng Xiang
P. Vadakkepat
T. Lee
ObjDCLL
76
11
0
06 May 2020
Visually Grounded Continual Learning of Compositional Phrases
Visually Grounded Continual Learning of Compositional Phrases
Xisen Jin
Junyi Du
Arka Sadhu
Ram Nevatia
Xiang Ren
CLL
61
4
0
02 May 2020
Importance Driven Continual Learning for Segmentation Across Domains
Importance Driven Continual Learning for Segmentation Across Domains
S. Özgün
Anne-Marie Rickmann
Abhijit Guha Roy
Christian Wachinger
OODCLL
57
33
0
30 Apr 2020
Exploring Fine-tuning Techniques for Pre-trained Cross-lingual Models
  via Continual Learning
Exploring Fine-tuning Techniques for Pre-trained Cross-lingual Models via Continual Learning
Zihan Liu
Genta Indra Winata
Andrea Madotto
Pascale Fung
CLL
92
18
0
29 Apr 2020
Continual Deep Learning by Functional Regularisation of Memorable Past
Continual Deep Learning by Functional Regularisation of Memorable Past
Pingbo Pan
S. Swaroop
Alexander Immer
Runa Eschenhagen
Richard Turner
Mohammad Emtiyaz Khan
KELMCLL
79
144
0
29 Apr 2020
PODNet: Pooled Outputs Distillation for Small-Tasks Incremental Learning
PODNet: Pooled Outputs Distillation for Small-Tasks Incremental Learning
Arthur Douillard
Matthieu Cord
Charles Ollion
Thomas Robert
Eduardo Valle
CLL
59
6
0
28 Apr 2020
Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less
  Forgetting
Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less Forgetting
Sanyuan Chen
Yutai Hou
Yiming Cui
Wanxiang Che
Ting Liu
Xiangzhan Yu
KELMCLL
140
226
0
27 Apr 2020
IROS 2019 Lifelong Robotic Vision Challenge -- Lifelong Object
  Recognition Report
IROS 2019 Lifelong Robotic Vision Challenge -- Lifelong Object Recognition Report
Qi She
Fan Feng
Qi Liu
Rosa H. M. Chan
Xinyue Hao
...
Di Xie
Yangsheng Xu
Lin Yang
Qiaoyong Zhong
Liguang Zhou
21
2
0
26 Apr 2020
Dropout as an Implicit Gating Mechanism For Continual Learning
Dropout as an Implicit Gating Mechanism For Continual Learning
Seyed Iman Mirzadeh
Mehrdad Farajtabar
H. Ghasemzadeh
CLL
69
43
0
24 Apr 2020
Few-Shot Class-Incremental Learning
Few-Shot Class-Incremental Learning
Xiaoyu Tao
Xiaopeng Hong
Xinyuan Chang
Songlin Dong
Xing Wei
Yihong Gong
CLL
104
419
0
23 Apr 2020
CLOPS: Continual Learning of Physiological Signals
CLOPS: Continual Learning of Physiological Signals
Dani Kiyasseh
T. Zhu
David Clifton
65
7
0
20 Apr 2020
Boosting Deep Open World Recognition by Clustering
Boosting Deep Open World Recognition by Clustering
Dario Fontanel
Fabio Cermelli
Massimiliano Mancini
Samuel Rota Buló
Elisa Ricci
Barbara Caputo
81
21
0
20 Apr 2020
CatNet: Class Incremental 3D ConvNets for Lifelong Egocentric Gesture
  Recognition
CatNet: Class Incremental 3D ConvNets for Lifelong Egocentric Gesture Recognition
Zhengwei Wang
Qi She
Tejo Chalasani
A. Smolic
3DPCSLR
70
15
0
20 Apr 2020
Generative Feature Replay For Class-Incremental Learning
Generative Feature Replay For Class-Incremental Learning
Xialei Liu
Chenshen Wu
Mikel Menta
Luis Herranz
Bogdan Raducanu
Andrew D. Bagdanov
Shangling Jui
Joost van de Weijer
CLL
66
156
0
20 Apr 2020
Dark Experience for General Continual Learning: a Strong, Simple
  Baseline
Dark Experience for General Continual Learning: a Strong, Simple Baseline
Pietro Buzzega
Matteo Boschini
Angelo Porrello
Davide Abati
Simone Calderara
BDLCLL
93
928
0
15 Apr 2020
Defining Benchmarks for Continual Few-Shot Learning
Defining Benchmarks for Continual Few-Shot Learning
Antreas Antoniou
Massimiliano Patacchiola
Mateusz Ochal
Amos Storkey
56
38
0
15 Apr 2020
Learning to Segment the Tail
Learning to Segment the Tail
Xinting Hu
Yi Jiang
Kaihua Tang
Jingyuan Chen
Chunyan Miao
Hanwang Zhang
VLMCLL
102
83
0
02 Apr 2020
Memory-Efficient Incremental Learning Through Feature Adaptation
Memory-Efficient Incremental Learning Through Feature Adaptation
Ahmet Iscen
Jeffrey O. Zhang
Svetlana Lazebnik
Cordelia Schmid
CLLVLM
75
165
0
01 Apr 2020
Semantic Drift Compensation for Class-Incremental Learning
Semantic Drift Compensation for Class-Incremental Learning
Lu Yu
Bartlomiej Twardowski
Xialei Liu
Luis Herranz
Kai Wang
Yongmei Cheng
Shangling Jui
Joost van de Weijer
CLL
95
345
0
01 Apr 2020
Conditional Channel Gated Networks for Task-Aware Continual Learning
Conditional Channel Gated Networks for Task-Aware Continual Learning
Davide Abati
Jakub M. Tomczak
Tijmen Blankevoort
Simone Calderara
Rita Cucchiara
B. Bejnordi
CLL
102
187
0
31 Mar 2020
SS-IL: Separated Softmax for Incremental Learning
SS-IL: Separated Softmax for Incremental Learning
Hongjoon Ahn
Jihwan Kwak
S. Lim
Hyeonsu Bang
Hyojun Kim
Taesup Moon
CLL
148
181
0
31 Mar 2020
Continual Learning with Node-Importance based Adaptive Group Sparse
  Regularization
Continual Learning with Node-Importance based Adaptive Group Sparse Regularization
Sangwon Jung
Hongjoon Ahn
Sungmin Cha
Taesup Moon
CLL
88
128
0
30 Mar 2020
Incremental Learning In Online Scenario
Incremental Learning In Online Scenario
Jiangpeng He
Runyu Mao
Zeman Shao
Fengqing Zhu
CLL
99
153
0
30 Mar 2020
Disturbance-immune Weight Sharing for Neural Architecture Search
Disturbance-immune Weight Sharing for Neural Architecture Search
Shuaicheng Niu
Jiaxiang Wu
Yifan Zhang
Yong Guo
P. Zhao
Junzhou Huang
Mingkui Tan
84
27
0
29 Mar 2020
Towards Backward-Compatible Representation Learning
Towards Backward-Compatible Representation Learning
Yantao Shen
Yuanjun Xiong
Wei Xia
Stefano Soatto
97
81
0
26 Mar 2020
iTAML: An Incremental Task-Agnostic Meta-learning Approach
iTAML: An Incremental Task-Agnostic Meta-learning Approach
Jathushan Rajasegaran
Salman Khan
Munawar Hayat
Fahad Shahbaz Khan
M. Shah
CLLOOD
149
157
0
25 Mar 2020
Overcoming Catastrophic Forgetting in Graph Neural Networks with
  Experience Replay
Overcoming Catastrophic Forgetting in Graph Neural Networks with Experience Replay
Fan Zhou
Chengtai Cao
CLL
71
10
0
22 Mar 2020
Adversarial Continual Learning
Adversarial Continual Learning
Sayna Ebrahimi
Franziska Meier
Roberto Calandra
Trevor Darrell
Marcus Rohrbach
CLLVLM
201
200
0
21 Mar 2020
Online Continual Learning on Sequences
Online Continual Learning on Sequences
G. I. Parisi
Vincenzo Lomonaco
CLL
56
25
0
20 Mar 2020
XtarNet: Learning to Extract Task-Adaptive Representation for
  Incremental Few-Shot Learning
XtarNet: Learning to Extract Task-Adaptive Representation for Incremental Few-Shot Learning
Sung Whan Yoon
Do-Yeon Kim
Jun Seo
Jaekyun Moon
CLL
254
46
0
19 Mar 2020
Lifelong Learning with Searchable Extension Units
Lifelong Learning with Searchable Extension Units
Wenjin Wang
Yunqing Hu
Yin Zhang
KELMCLL
108
3
0
19 Mar 2020
Incremental Object Detection via Meta-Learning
Incremental Object Detection via Meta-Learning
K. J. Joseph
Jathushan Rajasegaran
Salman Khan
Fahad Shahbaz Khan
V. Balasubramanian
ObjDCLLVLM
226
104
0
17 Mar 2020
Online Fast Adaptation and Knowledge Accumulation: a New Approach to
  Continual Learning
Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning
Massimo Caccia
Pau Rodríguez López
O. Ostapenko
Fabrice Normandin
Min Lin
...
I. Laradji
Irina Rish
Alexande Lacoste
David Vazquez
Laurent Charlin
CLLKELM
79
66
0
12 Mar 2020
Incremental Few-Shot Object Detection
Incremental Few-Shot Object Detection
Juan-Manuel Perez-Rua
Xiatian Zhu
Timothy M. Hospedales
Tao Xiang
ObjDCLL
72
218
0
10 Mar 2020
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