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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"

43 / 1,593 papers shown
Title
Open-world Learning and Application to Product Classification
Open-world Learning and Application to Product Classification
Hu Xu
Bing-Quan Liu
Lei Shu
P. Yu
CLLVLM
85
111
0
17 Sep 2018
Memory Efficient Experience Replay for Streaming Learning
Memory Efficient Experience Replay for Streaming Learning
Tyler L. Hayes
N. Cahill
Christopher Kanan
84
233
0
16 Sep 2018
Memory Replay GANs: learning to generate images from new categories
  without forgetting
Memory Replay GANs: learning to generate images from new categories without forgetting
Chenshen Wu
Luis Herranz
Xialei Liu
Yaxing Wang
Joost van de Weijer
Bogdan Raducanu
CLLVLMGAN
79
196
0
06 Sep 2018
DeeSIL: Deep-Shallow Incremental Learning
DeeSIL: Deep-Shallow Incremental Learning
Eden Belouadah
Adrian Daniel Popescu
CLL
98
73
0
20 Aug 2018
Small Sample Learning in Big Data Era
Small Sample Learning in Big Data Era
Jun Shu
Zongben Xu
Deyu Meng
98
72
0
14 Aug 2018
End-to-End Incremental Learning
End-to-End Incremental Learning
F. M. Castro
M. Marín-Jiménez
Nicolás Guil Mata
Cordelia Schmid
Alahari Karteek
CLL
99
1,163
0
25 Jul 2018
A Simple Unified Framework for Detecting Out-of-Distribution Samples and
  Adversarial Attacks
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks
Kimin Lee
Kibok Lee
Honglak Lee
Jinwoo Shin
OODD
201
2,073
0
10 Jul 2018
Revisiting Distillation and Incremental Classifier Learning
Revisiting Distillation and Incremental Classifier Learning
Khurram Javed
Faisal Shafait
49
66
0
08 Jul 2018
Kitting in the Wild through Online Domain Adaptation
Kitting in the Wild through Online Domain Adaptation
Massimiliano Mancini
H. Karaoğuz
Elisa Ricci
Patric Jensfelt
Barbara Caputo
74
56
0
03 Jul 2018
Continuous Learning in Single-Incremental-Task Scenarios
Continuous Learning in Single-Incremental-Task Scenarios
Davide Maltoni
Vincenzo Lomonaco
CLL
106
311
0
22 Jun 2018
Learn the new, keep the old: Extending pretrained models with new
  anatomy and images
Learn the new, keep the old: Extending pretrained models with new anatomy and images
Firat Özdemir
Philipp Fürnstahl
Orçun Göksel
CLL
64
48
0
01 Jun 2018
Reinforced Continual Learning
Reinforced Continual Learning
Ju Xu
Zhanxing Zhu
CLL
110
380
0
31 May 2018
Adding New Tasks to a Single Network with Weight Transformations using
  Binary Masks
Adding New Tasks to a Single Network with Weight Transformations using Binary Masks
Massimiliano Mancini
Elisa Ricci
Barbara Caputo
Samuel Rota Buló
96
52
0
28 May 2018
Lifelong Learning of Spatiotemporal Representations with Dual-Memory
  Recurrent Self-Organization
Lifelong Learning of Spatiotemporal Representations with Dual-Memory Recurrent Self-Organization
G. I. Parisi
Jun Tani
C. Weber
S. Wermter
CLL
66
130
0
28 May 2018
Self-Net: Lifelong Learning via Continual Self-Modeling
Self-Net: Lifelong Learning via Continual Self-Modeling
Blake Camp
J. Mandivarapu
Rolando Estrada
CLLSSL
66
16
0
25 May 2018
Measuring and regularizing networks in function space
Measuring and regularizing networks in function space
Ari S. Benjamin
David Rolnick
Konrad Paul Kording
82
140
0
21 May 2018
Progress & Compress: A scalable framework for continual learning
Progress & Compress: A scalable framework for continual learning
Jonathan Richard Schwarz
Jelena Luketina
Wojciech M. Czarnecki
A. Grabska-Barwinska
Yee Whye Teh
Razvan Pascanu
R. Hadsell
CLL
140
889
0
16 May 2018
Dynamic Few-Shot Visual Learning without Forgetting
Dynamic Few-Shot Visual Learning without Forgetting
Spyros Gidaris
N. Komodakis
VLM
71
1,132
0
25 Apr 2018
The Limits and Potentials of Deep Learning for Robotics
The Limits and Potentials of Deep Learning for Robotics
Niko Sünderhauf
Oliver Brock
Walter J. Scheirer
R. Hadsell
Dieter Fox
...
B. Upcroft
Pieter Abbeel
Wolfram Burgard
Michael Milford
Peter Corke
89
530
0
18 Apr 2018
Efficient parametrization of multi-domain deep neural networks
Efficient parametrization of multi-domain deep neural networks
Sylvestre-Alvise Rebuffi
Hakan Bilen
Andrea Vedaldi
OOD
86
366
0
27 Mar 2018
Incremental Learning-to-Learn with Statistical Guarantees
Incremental Learning-to-Learn with Statistical Guarantees
Giulia Denevi
C. Ciliberto
Dimitris Stamos
Massimiliano Pontil
CLL
69
48
0
21 Mar 2018
Continual Lifelong Learning with Neural Networks: A Review
Continual Lifelong Learning with Neural Networks: A Review
G. I. Parisi
Ronald Kemker
Jose L. Part
Christopher Kanan
S. Wermter
KELMCLL
261
2,911
0
21 Feb 2018
Tree-CNN: A Hierarchical Deep Convolutional Neural Network for
  Incremental Learning
Tree-CNN: A Hierarchical Deep Convolutional Neural Network for Incremental Learning
Deboleena Roy
Priyadarshini Panda
Kaushik Roy
BDLOODCLL
97
214
0
15 Feb 2018
Combinets: Creativity via Recombination of Neural Networks
Combinets: Creativity via Recombination of Neural Networks
Matthew J. Guzdial
Mark O. Riedl
31
10
0
10 Feb 2018
Rotate your Networks: Better Weight Consolidation and Less Catastrophic
  Forgetting
Rotate your Networks: Better Weight Consolidation and Less Catastrophic Forgetting
Xialei Liu
Marc Masana
Luis Herranz
Joost van de Weijer
Antonio M. López
Andrew D. Bagdanov
CLL
110
281
0
08 Feb 2018
Incremental Classifier Learning with Generative Adversarial Networks
Incremental Classifier Learning with Generative Adversarial Networks
Yue Wu
Yinpeng Chen
Lijuan Wang
Yuancheng Ye
Zicheng Liu
Yandong Guo
Zhengyou Zhang
Y. Fu
GAN
135
109
0
02 Feb 2018
Riemannian Walk for Incremental Learning: Understanding Forgetting and
  Intransigence
Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence
Arslan Chaudhry
P. Dokania
Thalaiyasingam Ajanthan
Philip Torr
CLL
138
1,147
0
30 Jan 2018
Unseen Class Discovery in Open-world Classification
Unseen Class Discovery in Open-world Classification
Lei Shu
Hu Xu
Bing-Quan Liu
59
71
0
17 Jan 2018
Overcoming catastrophic forgetting with hard attention to the task
Overcoming catastrophic forgetting with hard attention to the task
Joan Serrà
Dídac Surís
M. Miron
Alexandros Karatzoglou
CLL
152
1,086
0
04 Jan 2018
Incremental Learning in Deep Convolutional Neural Networks Using Partial
  Network Sharing
Incremental Learning in Deep Convolutional Neural Networks Using Partial Network Sharing
Syed Shakib Sarwar
Aayush Ankit
Kaushik Roy
CLL
95
109
0
07 Dec 2017
FearNet: Brain-Inspired Model for Incremental Learning
FearNet: Brain-Inspired Model for Incremental Learning
Ronald Kemker
Christopher Kanan
CLL
138
482
0
28 Nov 2017
Memory Aware Synapses: Learning what (not) to forget
Memory Aware Synapses: Learning what (not) to forget
Rahaf Aljundi
F. Babiloni
Mohamed Elhoseiny
Marcus Rohrbach
Tinne Tuytelaars
KELMCLL
90
1,654
0
27 Nov 2017
Scalable Recollections for Continual Lifelong Learning
Scalable Recollections for Continual Lifelong Learning
Matthew D Riemer
Tim Klinger
Djallel Bouneffouf
M. Franceschini
CLL
78
64
0
17 Nov 2017
PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning
PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning
Arun Mallya
Svetlana Lazebnik
CLL
119
1,312
0
15 Nov 2017
Deep Generative Dual Memory Network for Continual Learning
Deep Generative Dual Memory Network for Continual Learning
Nitin Kamra
Umang Gupta
Yan Liu
BDL
64
153
0
28 Oct 2017
Recent Advances in Zero-shot Recognition
Recent Advances in Zero-shot Recognition
Yanwei Fu
Tao Xiang
Yu-Gang Jiang
Xiangyang Xue
Leonid Sigal
S. Gong
BDLVLM
79
178
0
13 Oct 2017
Incremental Learning of Object Detectors without Catastrophic Forgetting
Incremental Learning of Object Detectors without Catastrophic Forgetting
K. Shmelkov
Cordelia Schmid
Alahari Karteek
ObjD
126
520
0
23 Aug 2017
Gradient Episodic Memory for Continual Learning
Gradient Episodic Memory for Continual Learning
David Lopez-Paz
MarcÁurelio Ranzato
VLMCLL
155
2,748
0
26 Jun 2017
Vocabulary-informed Extreme Value Learning
Yanwei Fu
Hanze Dong
Yu-Feng Ma
Zhengjun Zhang
Xiangyang Xue
VLM
66
4
0
28 May 2017
Learning multiple visual domains with residual adapters
Learning multiple visual domains with residual adapters
Sylvestre-Alvise Rebuffi
Hakan Bilen
Andrea Vedaldi
OOD
205
941
0
22 May 2017
A Strategy for an Uncompromising Incremental Learner
A Strategy for an Uncompromising Incremental Learner
Ragav Venkatesan
Hemanth Venkateswara
S. Panchanathan
Baoxin Li
CLL
86
41
0
02 May 2017
Encoder Based Lifelong Learning
Encoder Based Lifelong Learning
Amal Rannen Triki
Rahaf Aljundi
Mathew B. Blaschko
Tinne Tuytelaars
CLL
130
322
0
06 Apr 2017
Predicting Visual Exemplars of Unseen Classes for Zero-Shot Learning
Predicting Visual Exemplars of Unseen Classes for Zero-Shot Learning
Soravit Changpinyo
Wei-Lun Chao
Fei Sha
VLM
109
177
0
26 May 2016
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