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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 / 2,447 papers shown
Training Object Detectors from Few Weakly-Labeled and Many Unlabeled
  Images
Training Object Detectors from Few Weakly-Labeled and Many Unlabeled ImagesPattern Recognition (Pattern Recognit.), 2019
Zhaohui Yang
Miaojing Shi
Chao Xu
V. Ferrari
Yannis Avrithis
WSOD
842
11
0
01 Dec 2019
Towards Oracle Knowledge Distillation with Neural Architecture Search
Towards Oracle Knowledge Distillation with Neural Architecture SearchAAAI Conference on Artificial Intelligence (AAAI), 2019
Minsoo Kang
Jonghwan Mun
Bohyung Han
FedML
285
47
0
29 Nov 2019
Continuous Adaptation for Interactive Object Segmentation by Learning
  from Corrections
Continuous Adaptation for Interactive Object Segmentation by Learning from CorrectionsEuropean Conference on Computer Vision (ECCV), 2019
Theodora Kontogianni
Michael Gygli
J. Uijlings
V. Ferrari
CLLVLM
299
60
0
28 Nov 2019
Lifelong Spectral Clustering
Lifelong Spectral ClusteringAAAI Conference on Artificial Intelligence (AAAI), 2019
Gan Sun
Yang Cong
Qianqian Wang
Jun Li
Y. Fu
CLL
244
21
0
27 Nov 2019
Domain-Aware Dynamic Networks
Domain-Aware Dynamic Networks
Tianyuan Zhang
Bichen Wu
Xin Wang
Joseph E. Gonzalez
Kurt Keutzer
151
6
0
26 Nov 2019
Neural Random Forest Imitation
Neural Random Forest Imitation
Christoph Reinders
Bodo Rosenhahn
146
2
0
25 Nov 2019
Continual Learning with Adaptive Weights (CLAW)
Continual Learning with Adaptive Weights (CLAW)International Conference on Learning Representations (ICLR), 2019
T. Adel
Han Zhao
Richard Turner
CLL
198
79
0
21 Nov 2019
Online Learned Continual Compression with Adaptive Quantization Modules
Online Learned Continual Compression with Adaptive Quantization Modules
Lucas Caccia
Eugene Belilovsky
Massimo Caccia
Joelle Pineau
280
5
0
19 Nov 2019
Towards Making Deep Transfer Learning Never Hurt
Towards Making Deep Transfer Learning Never HurtIndustrial Conference on Data Mining (IDM), 2019
Ruosi Wan
Haoyi Xiong
Xingjian Li
Zhanxing Zhu
Jun Huan
130
21
0
18 Nov 2019
Maintaining Discrimination and Fairness in Class Incremental Learning
Maintaining Discrimination and Fairness in Class Incremental LearningComputer Vision and Pattern Recognition (CVPR), 2019
Bowen Zhao
Xi Xiao
Guojun Gan
Bin Zhang
Shutao Xia
CLL
422
513
0
16 Nov 2019
OpenLORIS-Object: A Robotic Vision Dataset and Benchmark for Lifelong
  Deep Learning
OpenLORIS-Object: A Robotic Vision Dataset and Benchmark for Lifelong Deep LearningIEEE International Conference on Robotics and Automation (ICRA), 2019
Qi She
Fan Feng
Xinyue Hao
Qihan Yang
Chuanlin Lan
...
Zhengwei Wang
Yao Guo
Yimin Zhang
Fei Qiao
Rosa H. M. Chan
VLM
352
82
0
15 Nov 2019
Learning from the Past: Continual Meta-Learning via Bayesian Graph
  Modeling
Learning from the Past: Continual Meta-Learning via Bayesian Graph ModelingAAAI Conference on Artificial Intelligence (AAAI), 2019
Yadan Luo
Zi Huang
Zheng Zhang
Ziwei Wang
Mahsa Baktashmotlagh
Yang Yang
CLLBDL
124
27
0
12 Nov 2019
Knowledge Distillation for Incremental Learning in Semantic Segmentation
Knowledge Distillation for Incremental Learning in Semantic SegmentationComputer Vision and Image Understanding (CVIU), 2019
Umberto Michieli
Pietro Zanuttigh
CLLVLM
326
107
0
08 Nov 2019
Continual Unsupervised Representation Learning
Continual Unsupervised Representation LearningNeural Information Processing Systems (NeurIPS), 2019
Dushyant Rao
Francesco Visin
Andrei A. Rusu
Yee Whye Teh
Razvan Pascanu
R. Hadsell
BDLCLLSSLDRL
134
283
0
31 Oct 2019
MOD: A Deep Mixture Model with Online Knowledge Distillation for Large
  Scale Video Temporal Concept Localization
MOD: A Deep Mixture Model with Online Knowledge Distillation for Large Scale Video Temporal Concept Localization
Rongcheng Lin
Jing Xiao
Jianping Fan
82
4
0
27 Oct 2019
Adversarial Feature Alignment: Avoid Catastrophic Forgetting in
  Incremental Task Lifelong Learning
Adversarial Feature Alignment: Avoid Catastrophic Forgetting in Incremental Task Lifelong LearningNeural Computation (Neural Comput.), 2019
Hang Zhou
Ziwei Liu
Chenglei Wu
Ping Luo
Lifeng Sun
CLL
250
25
0
24 Oct 2019
Human Action Recognition in Drone Videos using a Few Aerial Training
  Examples
Human Action Recognition in Drone Videos using a Few Aerial Training ExamplesComputer Vision and Image Understanding (CVIU), 2019
Waqas Sultani
M. Shah
290
49
0
22 Oct 2019
Orthogonal Gradient Descent for Continual Learning
Orthogonal Gradient Descent for Continual LearningInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2019
Mehrdad Farajtabar
Navid Azizan
Alex Mott
Ang Li
CLL
690
453
0
15 Oct 2019
Compacting, Picking and Growing for Unforgetting Continual Learning
Compacting, Picking and Growing for Unforgetting Continual LearningNeural Information Processing Systems (NeurIPS), 2019
Steven C. Y. Hung
Cheng-Hao Tu
Cheng-En Wu
Chien-Hung Chen
Yi-Ming Chan
Chu-Song Chen
CLL
390
353
0
15 Oct 2019
Learning to Remember from a Multi-Task Teacher
Learning to Remember from a Multi-Task Teacher
Yuwen Xiong
Mengye Ren
R. Urtasun
CLLKELMOOD
159
4
0
10 Oct 2019
Continual Learning in Neural Networks
Continual Learning in Neural Networks
Rahaf Aljundi
CLL
203
42
0
07 Oct 2019
Domain Expansion in DNN-based Acoustic Models for Robust Speech
  Recognition
Domain Expansion in DNN-based Acoustic Models for Robust Speech RecognitionAutomatic Speech Recognition & Understanding (ASRU), 2019
Shahram Ghorbani
S. Khorram
John H. L. Hansen
129
19
0
01 Oct 2019
Test-Time Training with Self-Supervision for Generalization under
  Distribution Shifts
Test-Time Training with Self-Supervision for Generalization under Distribution Shifts
Yu Sun
Xiaolong Wang
Zhuang Liu
John Miller
Alexei A. Efros
Moritz Hardt
TTAOOD
329
104
0
29 Sep 2019
On Generalizing Detection Models for Unconstrained Environments
On Generalizing Detection Models for Unconstrained Environments
Prajjwal Bhargava
OOD
71
8
0
28 Sep 2019
Multi-task Learning and Catastrophic Forgetting in Continual
  Reinforcement Learning
Multi-task Learning and Catastrophic Forgetting in Continual Reinforcement LearningGlobal Conference on Artificial Intelligence (GAI), 2019
Joao G. Ribeiro
Francisco S. Melo
João Dias
CLL
158
12
0
22 Sep 2019
ContCap: A scalable framework for continual image captioning
ContCap: A scalable framework for continual image captioning
Giang Nguyen
Tae Joon Jun
T. Tran
Tolcha Yalew
Daeyoung Kim
VLMCLL
118
13
0
19 Sep 2019
A continual learning survey: Defying forgetting in classification tasks
A continual learning survey: Defying forgetting in classification tasks
Matthias De Lange
Rahaf Aljundi
Marc Masana
Sarah Parisot
Xu Jia
A. Leonardis
Greg Slabaugh
Tinne Tuytelaars
CLLKELM
323
258
0
18 Sep 2019
Efficient Continual Learning in Neural Networks with Embedding
  Regularization
Efficient Continual Learning in Neural Networks with Embedding Regularization
Jary Pomponi
Simone Scardapane
Vincenzo Lomonaco
A. Uncini
CLL
180
45
0
09 Sep 2019
LAMOL: LAnguage MOdeling for Lifelong Language Learning
LAMOL: LAnguage MOdeling for Lifelong Language LearningInternational Conference on Learning Representations (ICLR), 2019
Fan-Keng Sun
Cheng-Hao Ho
Hung-yi Lee
CLLKELM
279
238
0
07 Sep 2019
Meta-Learning with Warped Gradient Descent
Meta-Learning with Warped Gradient DescentInternational Conference on Learning Representations (ICLR), 2019
Sebastian Flennerhag
Andrei A. Rusu
Razvan Pascanu
Francesco Visin
Hujun Yin
R. Hadsell
466
220
0
30 Aug 2019
BooVAE: Boosting Approach for Continual Learning of VAE
BooVAE: Boosting Approach for Continual Learning of VAENeural Information Processing Systems (NeurIPS), 2019
Anna Kuzina
Evgenii Egorov
Evgeny Burnaev
CLL
295
31
0
30 Aug 2019
Learning Continually from Low-shot Data Stream
Learning Continually from Low-shot Data Stream
Canyu Le
Xihan Wei
Biao Wang
L. Zhang
Zhonggui Chen
CLL
118
4
0
27 Aug 2019
Spiking Neural Predictive Coding for Continual Learning from Data
  Streams
Spiking Neural Predictive Coding for Continual Learning from Data Streams
Alexander Ororbia
471
36
0
23 Aug 2019
Regularizing CNN Transfer Learning with Randomised Regression
Regularizing CNN Transfer Learning with Randomised RegressionComputer Vision and Pattern Recognition (CVPR), 2019
Yang Zhong
A. Maki
249
14
0
16 Aug 2019
Online Continual Learning with Maximally Interfered Retrieval
Online Continual Learning with Maximally Interfered Retrieval
Rahaf Aljundi
Lucas Caccia
Eugene Belilovsky
Massimo Caccia
Min Lin
Laurent Charlin
Tinne Tuytelaars
CLL
591
622
0
11 Aug 2019
Continual Learning by Asymmetric Loss Approximation with Single-Side
  Overestimation
Continual Learning by Asymmetric Loss Approximation with Single-Side OverestimationIEEE International Conference on Computer Vision (ICCV), 2019
Dongmin Park
Seokil Hong
Bohyung Han
Kyoung Mu Lee
AAMLCLL
313
47
0
08 Aug 2019
Toward Understanding Catastrophic Forgetting in Continual Learning
Toward Understanding Catastrophic Forgetting in Continual Learning
Cuong V Nguyen
Alessandro Achille
Michael Lam
Tal Hassner
Vijay Mahadevan
Stefano Soatto
255
110
0
02 Aug 2019
AutoML: A Survey of the State-of-the-Art
AutoML: A Survey of the State-of-the-ArtKnowledge-Based Systems (KBS), 2019
Xin He
Kaiyong Zhao
Xiaowen Chu
787
1,677
0
02 Aug 2019
Continual Learning via Online Leverage Score Sampling
Continual Learning via Online Leverage Score Sampling
D. Teng
Sakyasingha Dasgupta
CLL
109
5
0
01 Aug 2019
Biologically inspired sleep algorithm for artificial neural networks
Biologically inspired sleep algorithm for artificial neural networks
G. Krishnan
Timothy Tadros
Ramyaa Ramyaa
M. Bazhenov
100
20
0
01 Aug 2019
Incremental Learning Techniques for Semantic Segmentation
Incremental Learning Techniques for Semantic Segmentation
Umberto Michieli
Pietro Zanuttigh
SSegCLLVLM
386
271
0
31 Jul 2019
Overcoming Catastrophic Forgetting by Neuron-level Plasticity Control
Overcoming Catastrophic Forgetting by Neuron-level Plasticity ControlAAAI Conference on Artificial Intelligence (AAAI), 2019
Inyoung Paik
Sangjun Oh
Taeyeong Kwak
Injung Kim
CLL
158
59
0
31 Jul 2019
Context-Aware Multipath Networks
Context-Aware Multipath Networks
Dumindu Tissera
Kumara Kahatapitiya
Rukshan Wijesinghe
Subha Fernando
Ranga Rodrigo
107
7
0
26 Jul 2019
Lifelong GAN: Continual Learning for Conditional Image Generation
Lifelong GAN: Continual Learning for Conditional Image GenerationIEEE International Conference on Computer Vision (ICCV), 2019
Mengyao Zhai
Lei Chen
Frederick Tung
Jiawei He
Megha Nawhal
Greg Mori
CLL
245
203
0
23 Jul 2019
Adaptive Compression-based Lifelong Learning
Adaptive Compression-based Lifelong LearningBritish Machine Vision Conference (BMVC), 2019
Shivangi Srivastava
Maxim Berman
Matthew B. Blaschko
D. Tuia
CLL
157
10
0
23 Jul 2019
Autoencoder-Based Incremental Class Learning without Retraining on Old
  Data
Autoencoder-Based Incremental Class Learning without Retraining on Old Data
Euntae Choi
Kyungmi Lee
Kiyoung Choi
CLL
110
13
0
18 Jul 2019
Growing a Brain: Fine-Tuning by Increasing Model Capacity
Growing a Brain: Fine-Tuning by Increasing Model CapacityComputer Vision and Pattern Recognition (CVPR), 2017
Yu-Xiong Wang
Deva Ramanan
M. Hebert
CLL
203
161
0
18 Jul 2019
Bringing Giant Neural Networks Down to Earth with Unlabeled Data
Bringing Giant Neural Networks Down to Earth with Unlabeled Data
Yehui Tang
Shan You
Chang Xu
Boxin Shi
Chao Xu
193
11
0
13 Jul 2019
DisCoRL: Continual Reinforcement Learning via Policy Distillation
DisCoRL: Continual Reinforcement Learning via Policy Distillation
Kalifou René Traoré
Hugo Caselles-Dupré
Timothée Lesort
Te Sun
Guanghang Cai
Natalia Díaz Rodríguez
David Filliat
OffRL
167
65
0
11 Jul 2019
Rehearsal-Free Continual Learning over Small Non-I.I.D. Batches
Rehearsal-Free Continual Learning over Small Non-I.I.D. Batches
Vincenzo Lomonaco
Davide Maltoni
Lorenzo Pellegrini
CLLVLM
223
70
0
08 Jul 2019
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