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Learning without Forgetting

Learning without Forgetting

29 June 2016
Zhizhong Li
Derek Hoiem
    CLL
    OOD
    SSL
ArXivPDFHTML

Papers citing "Learning without Forgetting"

50 / 2,215 papers shown
Title
Exploring Optimal Deep Learning Models for Image-based Malware Variant
  Classification
Exploring Optimal Deep Learning Models for Image-based Malware Variant Classification
Rikima Mitsuhashi
Takahiro Shinagawa
9
3
0
10 Apr 2020
Structure-preserving neural networks
Structure-preserving neural networks
Quercus Hernandez
Alberto Badías
D. González
Francisco Chinesta
Elías Cueto
PINN
22
70
0
09 Apr 2020
Universal Source-Free Domain Adaptation
Universal Source-Free Domain Adaptation
Jogendra Nath Kundu
Naveen Venkat
V. RahulM.
R. Venkatesh Babu
VLM
TTA
7
338
0
09 Apr 2020
Evaluating Online Continual Learning with CALM
Evaluating Online Continual Learning with CALM
Germán Kruszewski
Ionut-Teodor Sorodoc
Tomas Mikolov
CLL
23
1
0
07 Apr 2020
Learning to Segment the Tail
Learning to Segment the Tail
Xinting Hu
Yi Jiang
Kaihua Tang
Jingyuan Chen
Chunyan Miao
Hanwang Zhang
VLM
CLL
22
80
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
CLL
VLM
18
157
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
19
333
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
42
184
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
22
176
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
25
120
0
30 Mar 2020
Incremental Learning In Online Scenario
Incremental Learning In Online Scenario
Jiangpeng He
Runyu Mao
Zeman Shao
F. Zhu
CLL
24
148
0
30 Mar 2020
Towards Backward-Compatible Representation Learning
Towards Backward-Compatible Representation Learning
Yantao Shen
Yuanjun Xiong
W. Xia
Stefano Soatto
39
78
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
CLL
OOD
30
153
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
29
10
0
22 Mar 2020
Online Continual Learning on Sequences
Online Continual Learning on Sequences
G. I. Parisi
Vincenzo Lomonaco
CLL
19
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
186
46
0
19 Mar 2020
The Future of Digital Health with Federated Learning
The Future of Digital Health with Federated Learning
Nicola Rieke
Jonny Hancox
Wenqi Li
Fausto Milletari
H. Roth
...
Ronald M. Summers
Andrew Trask
Daguang Xu
Maximilian Baust
M. Jorge Cardoso
OOD
174
1,712
0
18 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
ObjD
CLL
VLM
177
98
0
17 Mar 2020
Any-Shot Object Detection
Any-Shot Object Detection
Shafin Rahman
Salman Khan
Nick Barnes
Fahad Shahbaz Khan
ObjD
VLM
19
17
0
16 Mar 2020
Beyond without Forgetting: Multi-Task Learning for Classification with
  Disjoint Datasets
Beyond without Forgetting: Multi-Task Learning for Classification with Disjoint Datasets
Y. Hong
Li Niu
Jianfu Zhang
Liqing Zhang
29
5
0
15 Mar 2020
FOAL: Fast Online Adaptive Learning for Cardiac Motion Estimation
FOAL: Fast Online Adaptive Learning for Cardiac Motion Estimation
Hanchao Yu
Shanhui Sun
Haichao Yu
Xiao Chen
Humphrey Shi
Thomas Huang
Terrence Chen
39
45
0
10 Mar 2020
Faster ILOD: Incremental Learning for Object Detectors based on Faster
  RCNN
Faster ILOD: Incremental Learning for Object Detectors based on Faster RCNN
Can Peng
Kun-li Zhao
Brian C. Lovell
ObjD
11
110
0
09 Mar 2020
FoCL: Feature-Oriented Continual Learning for Generative Models
FoCL: Feature-Oriented Continual Learning for Generative Models
Qicheng Lao
Mehrzad Mortazavi
Marzieh S. Tahaei
Francis Dutil
T. Fevens
Mohammad Havaei
CLL
20
13
0
09 Mar 2020
Synaptic Metaplasticity in Binarized Neural Networks
Synaptic Metaplasticity in Binarized Neural Networks
Axel Laborieux
M. Ernoult
T. Hirtzlin
D. Querlioz
CLL
26
62
0
07 Mar 2020
Energy-efficient and Robust Cumulative Training with Net2Net
  Transformation
Energy-efficient and Robust Cumulative Training with Net2Net Transformation
Aosong Feng
Priyadarshini Panda
27
1
0
02 Mar 2020
Multi-Scale Neural network for EEG Representation Learning in BCI
Multi-Scale Neural network for EEG Representation Learning in BCI
Wonjun Ko
Eunjin Jeon
Seungwoo Jeong
Heung-Il Suk
6
80
0
02 Mar 2020
On Catastrophic Interference in Atari 2600 Games
On Catastrophic Interference in Atari 2600 Games
W. Fedus
Dibya Ghosh
John D. Martin
Marc G. Bellemare
Yoshua Bengio
Hugo Larochelle
12
26
0
28 Feb 2020
Cognitively-Inspired Model for Incremental Learning Using a Few Examples
Cognitively-Inspired Model for Incremental Learning Using a Few Examples
Ali Ayub
Alan Wagner
CLL
9
3
0
27 Feb 2020
Semantically-Guided Representation Learning for Self-Supervised
  Monocular Depth
Semantically-Guided Representation Learning for Self-Supervised Monocular Depth
Vitor Campagnolo Guizilini
Rui Hou
Jie Li
Rares Ambrus
Adrien Gaidon
SSL
MDE
30
228
0
27 Feb 2020
Mnemonics Training: Multi-Class Incremental Learning without Forgetting
Mnemonics Training: Multi-Class Incremental Learning without Forgetting
Yaoyao Liu
Yuting Su
Anan Liu
Bernt Schiele
Qianru Sun
CLL
28
337
0
24 Feb 2020
Learning to Continually Learn
Learning to Continually Learn
Shawn L. E. Beaulieu
Lapo Frati
Thomas Miconi
Joel Lehman
Kenneth O. Stanley
Jeff Clune
Nick Cheney
KELM
CLL
46
147
0
21 Feb 2020
Using Hindsight to Anchor Past Knowledge in Continual Learning
Using Hindsight to Anchor Past Knowledge in Continual Learning
Arslan Chaudhry
Albert Gordo
P. Dokania
Philip Torr
David Lopez-Paz
KELM
CLL
27
234
0
19 Feb 2020
Few-Shot Few-Shot Learning and the role of Spatial Attention
Few-Shot Few-Shot Learning and the role of Spatial Attention
Yann Lifchitz
Yannis Avrithis
Sylvaine Picard
SSL
28
7
0
18 Feb 2020
Residual Continual Learning
Residual Continual Learning
Janghyeon Lee
Donggyu Joo
H. Hong
Junmo Kim
CLL
20
23
0
17 Feb 2020
Self-Distillation Amplifies Regularization in Hilbert Space
Self-Distillation Amplifies Regularization in Hilbert Space
H. Mobahi
Mehrdad Farajtabar
Peter L. Bartlett
35
229
0
13 Feb 2020
Multi-Task Incremental Learning for Object Detection
Multi-Task Incremental Learning for Object Detection
Xialei Liu
Hao Yang
Avinash Ravichandran
Rahul Bhotika
Stefano Soatto
ObjD
VLM
CLL
8
12
0
13 Feb 2020
Incremental Meta-Learning via Indirect Discriminant Alignment
Incremental Meta-Learning via Indirect Discriminant Alignment
Qing Liu
Orchid Majumder
Alessandro Achille
Avinash Ravichandran
Rahul Bhotika
Stefano Soatto
CLL
10
6
0
11 Feb 2020
Multitask Emotion Recognition with Incomplete Labels
Multitask Emotion Recognition with Incomplete Labels
Didan Deng
Zhaokang Chen
Bertram E. Shi
CVBM
21
94
0
10 Feb 2020
Understanding the effects of artifacts on automated polyp detection and
  incorporating that knowledge via learning without forgetting
Understanding the effects of artifacts on automated polyp detection and incorporating that knowledge via learning without forgetting
Maxime Kayser
R. Soberanis-Mukul
Anna-Maria Zvereva
P. Klare
Nassir Navab
Shadi Albarqouni
6
7
0
07 Feb 2020
Modeling the Background for Incremental Learning in Semantic
  Segmentation
Modeling the Background for Incremental Learning in Semantic Segmentation
Fabio Cermelli
Massimiliano Mancini
Samuel Rota Buló
Elisa Ricci
Barbara Caputo
CLL
VLM
24
277
0
03 Feb 2020
A Novel Incremental Cross-Modal Hashing Approach
A Novel Incremental Cross-Modal Hashing Approach
Devraj Mandal
Soma Biswas
CLL
6
1
0
03 Feb 2020
Adversarial Incremental Learning
Ankur Singh
CLL
16
1
0
30 Jan 2020
Ternary Feature Masks: zero-forgetting for task-incremental learning
Ternary Feature Masks: zero-forgetting for task-incremental learning
Marc Masana
Tinne Tuytelaars
Joost van de Weijer
CLL
34
30
0
23 Jan 2020
Rethinking the Distribution Gap of Person Re-identification with
  Camera-based Batch Normalization
Rethinking the Distribution Gap of Person Re-identification with Camera-based Batch Normalization
Zijie Zhuang
Longhui Wei
Lingxi Xie
Tianyu Zhang
Hengheng Zhang
Haozhe Wu
H. Ai
Qi Tian
11
1
0
23 Jan 2020
SPACE: Structured Compression and Sharing of Representational Space for
  Continual Learning
SPACE: Structured Compression and Sharing of Representational Space for Continual Learning
Gobinda Saha
Isha Garg
Aayush Ankit
Kaushik Roy
CLL
22
22
0
23 Jan 2020
Active and Incremental Learning with Weak Supervision
Active and Incremental Learning with Weak Supervision
C. Brust
Christoph Käding
Joachim Denzler
CLL
6
18
0
20 Jan 2020
Continual Learning for Domain Adaptation in Chest X-ray Classification
Continual Learning for Domain Adaptation in Chest X-ray Classification
Matthias Lenga
H. Schulz
A. Saalbach
OOD
16
61
0
16 Jan 2020
ScaIL: Classifier Weights Scaling for Class Incremental Learning
ScaIL: Classifier Weights Scaling for Class Incremental Learning
Eden Belouadah
Adrian Daniel Popescu
CLL
22
78
0
16 Jan 2020
Intelligence, physics and information -- the tradeoff between accuracy
  and simplicity in machine learning
Intelligence, physics and information -- the tradeoff between accuracy and simplicity in machine learning
Tailin Wu
19
1
0
11 Jan 2020
Frosting Weights for Better Continual Training
Frosting Weights for Better Continual Training
Xiaofeng Zhu
Feng Liu
Goce Trajcevski
Dingding Wang
FedML
AI4CE
CLL
28
5
0
07 Jan 2020
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