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Learning without Forgetting
v1v2v3 (latest)

Learning without Forgetting

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2016
29 June 2016
Zhizhong Li
Derek Hoiem
    CLLOODSSL
ArXiv (abs)PDFHTML

Papers citing "Learning without Forgetting"

50 / 2,446 papers shown
Learning latent representations across multiple data domains using
  Lifelong VAEGAN
Learning latent representations across multiple data domains using Lifelong VAEGAN
Fei Ye
A. Bors
SyDaCLL
177
79
0
20 Jul 2020
Resolution Switchable Networks for Runtime Efficient Image Recognition
Resolution Switchable Networks for Runtime Efficient Image RecognitionEuropean Conference on Computer Vision (ECCV), 2020
Yikai Wang
F. Sun
Duo Li
Anbang Yao
297
31
0
19 Jul 2020
Drinking from a Firehose: Continual Learning with Web-scale Natural
  Language
Drinking from a Firehose: Continual Learning with Web-scale Natural LanguageIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Hexiang Hu
Ozan Sener
Fei Sha
V. Koltun
CLL
224
28
0
18 Jul 2020
Learn distributed GAN with Temporary Discriminators
Learn distributed GAN with Temporary DiscriminatorsEuropean Conference on Computer Vision (ECCV), 2020
Hui Qu
Yikai Zhang
Qi Chang
Zhennan Yan
Chao Chen
Dimitris N. Metaxas
FedML
197
21
0
17 Jul 2020
GMNet: Graph Matching Network for Large Scale Part Semantic Segmentation
  in the Wild
GMNet: Graph Matching Network for Large Scale Part Semantic Segmentation in the WildEuropean Conference on Computer Vision (ECCV), 2020
Umberto Michieli
E. Borsato
Luca Rossi
Pietro Zanuttigh
277
46
0
17 Jul 2020
A Biologically Plausible Audio-Visual Integration Model for Continual
  Learning
A Biologically Plausible Audio-Visual Integration Model for Continual LearningIEEE International Joint Conference on Neural Network (IJCNN), 2020
Wenjie Chen
Fengtong Du
Ye Wang
Lihong Cao
CLL
119
0
0
17 Jul 2020
Detecting Human-Object Interactions with Action Co-occurrence Priors
Detecting Human-Object Interactions with Action Co-occurrence PriorsEuropean Conference on Computer Vision (ECCV), 2020
Dong-Jin Kim
Xiao Sun
Jinsoo Choi
Stephen Lin
In So Kweon
222
133
0
17 Jul 2020
Preserving Semantic Neighborhoods for Robust Cross-modal Retrieval
Preserving Semantic Neighborhoods for Robust Cross-modal RetrievalEuropean Conference on Computer Vision (ECCV), 2020
Christopher Thomas
Adriana Kovashka
259
43
0
16 Jul 2020
Neuromodulated Neural Architectures with Local Error Signals for
  Memory-Constrained Online Continual Learning
Neuromodulated Neural Architectures with Local Error Signals for Memory-Constrained Online Continual Learning
Sandeep Madireddy
A. Yanguas-Gil
Dali Wang
CLL
109
0
0
16 Jul 2020
SpaceNet: Make Free Space For Continual Learning
SpaceNet: Make Free Space For Continual LearningNeurocomputing (Neurocomputing), 2020
Ghada Sokar
Decebal Constantin Mocanu
Mykola Pechenizkiy
CLL
229
85
0
15 Jul 2020
Anatomy of Catastrophic Forgetting: Hidden Representations and Task
  Semantics
Anatomy of Catastrophic Forgetting: Hidden Representations and Task SemanticsInternational Conference on Learning Representations (ICLR), 2020
V. Ramasesh
Ethan Dyer
M. Raghu
CLL
312
192
0
14 Jul 2020
Lifelong Policy Gradient Learning of Factored Policies for Faster
  Training Without Forgetting
Lifelong Policy Gradient Learning of Factored Policies for Faster Training Without ForgettingNeural Information Processing Systems (NeurIPS), 2020
Jorge Armando Mendez Mendez
Boyu Wang
Eric Eaton
CLL
179
42
0
14 Jul 2020
Automated Synthetic-to-Real Generalization
Automated Synthetic-to-Real GeneralizationInternational Conference on Machine Learning (ICML), 2020
Wuyang Chen
Zhiding Yu
Zinan Lin
Anima Anandkumar
151
70
0
14 Jul 2020
Lifelong Learning using Eigentasks: Task Separation, Skill Acquisition,
  and Selective Transfer
Lifelong Learning using Eigentasks: Task Separation, Skill Acquisition, and Selective Transfer
Aswin Raghavan
Jesse Hostetler
Indranil Sur
Abrar Rahman
Ajay Divakaran
CLL
117
7
0
14 Jul 2020
Representation Transfer by Optimal Transport
Representation Transfer by Optimal Transport
Xuhong Li
Yves Grandvalet
Rémi Flamary
Nicolas Courty
Dejing Dou
OT
151
8
0
13 Jul 2020
Disentanglement of Color and Shape Representations for Continual
  Learning
Disentanglement of Color and Shape Representations for Continual Learning
David Berga
Marc Masana
Joost van de Weijer
CLL
137
3
0
13 Jul 2020
RATT: Recurrent Attention to Transient Tasks for Continual Image
  Captioning
RATT: Recurrent Attention to Transient Tasks for Continual Image CaptioningNeural Information Processing Systems (NeurIPS), 2020
Riccardo Del Chiaro
Bartlomiej Twardowski
Andrew D. Bagdanov
Joost van de Weijer
CLLVLM
189
49
0
13 Jul 2020
MeDaS: An open-source platform as service to help break the walls
  between medicine and informatics
MeDaS: An open-source platform as service to help break the walls between medicine and informatics
Liang Zhang
Johann Li
Ping Li
Xiaoyuan Lu
Peiyi Shen
Guangming Zhu
Syed Afaq Ali Shah
Bennamoun
Kun Qian
Björn W. Schuller
MedIm
208
6
0
12 Jul 2020
Batch-level Experience Replay with Review for Continual Learning
Batch-level Experience Replay with Review for Continual Learning
Zheda Mai
Hyunwoo J. Kim
Jihwan Jeong
Scott Sanner
VLMCLL
113
18
0
11 Jul 2020
Graph-Based Continual Learning
Graph-Based Continual LearningInternational Conference on Learning Representations (ICLR), 2020
Binh Tang
David S. Matteson
BDLCLL
213
40
0
09 Jul 2020
Wandering Within a World: Online Contextualized Few-Shot Learning
Wandering Within a World: Online Contextualized Few-Shot LearningInternational Conference on Learning Representations (ICLR), 2020
Mengye Ren
Michael L. Iuzzolino
Michael C. Mozer
R. Zemel
CLL
238
33
0
09 Jul 2020
Robust Re-Identification by Multiple Views Knowledge Distillation
Robust Re-Identification by Multiple Views Knowledge DistillationEuropean Conference on Computer Vision (ECCV), 2020
Angelo Porrello
Luca Bergamini
Simone Calderara
209
72
0
08 Jul 2020
Continual Learning in Human Activity Recognition: an Empirical Analysis
  of Regularization
Continual Learning in Human Activity Recognition: an Empirical Analysis of Regularization
Saurav Jha
Martin Schiemer
Juan Ye
CLL
141
14
0
06 Jul 2020
FLUID: A Unified Evaluation Framework for Flexible Sequential Data
FLUID: A Unified Evaluation Framework for Flexible Sequential Data
Matthew Wallingford
Aditya Kusupati
Keivan Alizadeh Vahid
Aaron Walsman
Aniruddha Kembhavi
Ali Farhadi
341
2
0
06 Jul 2020
Pseudo-Rehearsal for Continual Learning with Normalizing Flows
Pseudo-Rehearsal for Continual Learning with Normalizing Flows
Jary Pomponi
Simone Scardapane
A. Uncini
254
16
0
05 Jul 2020
On Class Orderings for Incremental Learning
On Class Orderings for Incremental Learning
Marc Masana
Bartlomiej Twardowski
Joost van de Weijer
CLL
144
15
0
04 Jul 2020
RSAC: Regularized Subspace Approximation Classifier for Lightweight
  Continuous Learning
RSAC: Regularized Subspace Approximation Classifier for Lightweight Continuous Learning
Chih-Hsing Ho
Shang-Ho
S. Tsai
CLL
110
0
0
03 Jul 2020
Learn Faster and Forget Slower via Fast and Stable Task Adaptation
Learn Faster and Forget Slower via Fast and Stable Task Adaptation
Farshid Varno
Lucas May Petry
Lisa Di-Jorio
Stan Matwin
CLL
285
2
0
02 Jul 2020
Continual Learning: Tackling Catastrophic Forgetting in Deep Neural
  Networks with Replay Processes
Continual Learning: Tackling Catastrophic Forgetting in Deep Neural Networks with Replay Processes
Timothée Lesort
CLL
369
24
0
01 Jul 2020
Robustifying the Deployment of tinyML Models for Autonomous
  mini-vehicles
Robustifying the Deployment of tinyML Models for Autonomous mini-vehicles
Miguel de Prado
Manuele Rusci
Romain Donze
Alessandro Capotondi
Serge Monnerat
Luca Benini and
Nuria Pazos
189
44
0
01 Jul 2020
Enabling Continual Learning with Differentiable Hebbian Plasticity
Enabling Continual Learning with Differentiable Hebbian Plasticity
Vithursan Thangarasa
Thomas Miconi
Graham W. Taylor
CLL
155
15
0
30 Jun 2020
MgSvF: Multi-Grained Slow vs. Fast Framework for Few-Shot
  Class-Incremental Learning
MgSvF: Multi-Grained Slow vs. Fast Framework for Few-Shot Class-Incremental Learning
Hanbin Zhao
Yongjian Fu
Mintong Kang
Qi Tian
Leilei Gan
Xi Li
CLL
487
135
0
28 Jun 2020
Bookworm continual learning: beyond zero-shot learning and continual
  learning
Bookworm continual learning: beyond zero-shot learning and continual learning
Kai Wang
Luis Herranz
Anjan Dutta
Joost van de Weijer
VLMCLL
158
6
0
26 Jun 2020
OvA-INN: Continual Learning with Invertible Neural Networks
OvA-INN: Continual Learning with Invertible Neural NetworksIEEE International Joint Conference on Neural Network (IJCNN), 2020
Guillaume Hocquet
O. Bichler
D. Querlioz
BDLCLL
104
13
0
24 Jun 2020
Insights from the Future for Continual Learning
Insights from the Future for Continual Learning
Arthur Douillard
Eduardo Valle
Charles Ollion
Thomas Robert
Matthieu Cord
VLMCLL
230
12
0
24 Jun 2020
Automatic Recall Machines: Internal Replay, Continual Learning and the
  Brain
Automatic Recall Machines: Internal Replay, Continual Learning and the Brain
Xu Ji
Joao Henriques
Tinne Tuytelaars
Andrea Vedaldi
KELM
239
11
0
22 Jun 2020
Continual Learning in Recurrent Neural Networks
Continual Learning in Recurrent Neural Networks
Benjamin Ehret
Christian Henning
Maria R. Cervera
Alexander Meulemans
J. Oswald
Benjamin Grewe
CLL
190
10
0
22 Jun 2020
Neural Topic Modeling with Continual Lifelong Learning
Neural Topic Modeling with Continual Lifelong Learning
Pankaj Gupta
Yatin Chaudhary
Thomas Runkler
Hinrich Schütze
BDLCLL
187
53
0
19 Jun 2020
Online Reinforcement Learning Control by Direct Heuristic Dynamic
  Programming: from Time-Driven to Event-Driven
Online Reinforcement Learning Control by Direct Heuristic Dynamic Programming: from Time-Driven to Event-Driven
Qingtao Zhao
J. Si
Jian Sun
41
17
0
16 Jun 2020
GAN Memory with No Forgetting
GAN Memory with No ForgettingNeural Information Processing Systems (NeurIPS), 2020
Yulai Cong
Miaoyun Zhao
Jianqiao Li
Sijia Wang
Lawrence Carin
CLL
277
143
0
13 Jun 2020
MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and
  Architectures
MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and ArchitecturesNeural Information Processing Systems (NeurIPS), 2020
Jeongun Ryu
Jaewoong Shin
Haebeom Lee
Sung Ju Hwang
AAMLOOD
170
8
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
114
11
0
12 Jun 2020
CPR: Classifier-Projection Regularization for Continual Learning
CPR: Classifier-Projection Regularization for Continual LearningInternational Conference on Learning Representations (ICLR), 2020
Sungmin Cha
Hsiang Hsu
Taebaek Hwang
Flavio du Pin Calmon
Taesup Moon
CLL
270
90
0
12 Jun 2020
Towards Robust Pattern Recognition: A Review
Towards Robust Pattern Recognition: A ReviewProceedings of the IEEE (Proc. IEEE), 2020
Xu-Yao Zhang
Cheng-Lin Liu
C. Suen
OODHAI
203
126
0
12 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
156
14
0
10 Jun 2020
Transient Non-Stationarity and Generalisation in Deep Reinforcement
  Learning
Transient Non-Stationarity and Generalisation in Deep Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2020
Maximilian Igl
Gregory Farquhar
Jelena Luketina
Wendelin Boehmer
Shimon Whiteson
374
98
0
10 Jun 2020
Knowledge Distillation: A Survey
Knowledge Distillation: A Survey
Jianping Gou
B. Yu
Stephen J. Maybank
Dacheng Tao
VLM
1.9K
3,720
0
09 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
182
29
0
09 Jun 2020
Learning not to Discriminate: Task Agnostic Learning for Improving
  Monolingual and Code-switched Speech Recognition
Learning not to Discriminate: Task Agnostic Learning for Improving Monolingual and Code-switched Speech Recognition
Gurunath Reddy Madhumani
Sanket Shah
Basil Abraham
Vikas Joshi
Sunayana Sitaram
186
7
0
09 Jun 2020
Self-Distillation as Instance-Specific Label Smoothing
Self-Distillation as Instance-Specific Label Smoothing
Zhilu Zhang
M. Sabuncu
186
125
0
09 Jun 2020
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