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Learning without Forgetting
v1v2v3 (latest)

Learning without Forgetting

29 June 2016
Zhizhong Li
Derek Hoiem
    CLLOODSSL
ArXiv (abs)PDFHTML

Papers citing "Learning without Forgetting"

50 / 2,270 papers shown
Title
Efficient Conditional GAN Transfer with Knowledge Propagation across
  Classes
Efficient Conditional GAN Transfer with Knowledge Propagation across Classes
Mohamad Shahbazi
Zhiwu Huang
D. Paudel
Ajad Chhatkuli
Luc Van Gool
83
28
0
12 Feb 2021
Show, Attend and Distill:Knowledge Distillation via Attention-based
  Feature Matching
Show, Attend and Distill:Knowledge Distillation via Attention-based Feature Matching
Mingi Ji
Byeongho Heo
Sungrae Park
146
152
0
05 Feb 2021
How do Quadratic Regularizers Prevent Catastrophic Forgetting: The Role
  of Interpolation
How do Quadratic Regularizers Prevent Catastrophic Forgetting: The Role of Interpolation
Ekdeep Singh Lubana
Puja Trivedi
Danai Koutra
Robert P. Dick
119
15
0
04 Feb 2021
Do Not Forget to Attend to Uncertainty while Mitigating Catastrophic
  Forgetting
Do Not Forget to Attend to Uncertainty while Mitigating Catastrophic Forgetting
V. Kurmi
Badri N. Patro
Venkatesh Subramanian
Vinay P. Namboodiri
108
22
0
03 Feb 2021
Self-Attention Meta-Learner for Continual Learning
Self-Attention Meta-Learner for Continual Learning
Ghada Sokar
Decebal Constantin Mocanu
Mykola Pechenizkiy
CLL
53
11
0
28 Jan 2021
Generalising via Meta-Examples for Continual Learning in the Wild
Generalising via Meta-Examples for Continual Learning in the Wild
Alessia Bertugli
Stefano Vincenzi
Simone Calderara
Andrea Passerini
CLL
50
2
0
28 Jan 2021
Graphonomy: Universal Image Parsing via Graph Reasoning and Transfer
Graphonomy: Universal Image Parsing via Graph Reasoning and Transfer
Liang Lin
Yiming Gao
Ke Gong
Meng Wang
Xiaodan Liang
59
13
0
26 Jan 2021
Online Continual Learning in Image Classification: An Empirical Survey
Online Continual Learning in Image Classification: An Empirical Survey
Zheda Mai
Ruiwen Li
Jihwan Jeong
David Quispe
Hyunwoo J. Kim
Scott Sanner
VLMCLL
137
422
0
25 Jan 2021
ISP Distillation
ISP Distillation
Eli Schwartz
A. Bronstein
Raja Giryes
VLM
82
6
0
25 Jan 2021
Federated Intrusion Detection for IoT with Heterogeneous Cohort Privacy
Federated Intrusion Detection for IoT with Heterogeneous Cohort Privacy
Ajesh Koyatan Chathoth
Abhyuday N. Jagannatha
Stephen Lee
81
14
0
25 Jan 2021
Memory-Efficient Semi-Supervised Continual Learning: The World is its
  Own Replay Buffer
Memory-Efficient Semi-Supervised Continual Learning: The World is its Own Replay Buffer
James Smith
Jonathan C. Balloch
Yen-Chang Hsu
Z. Kira
CLL
187
38
0
23 Jan 2021
The Surprising Positive Knowledge Transfer in Continual 3D Object Shape
  Reconstruction
The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction
Anh Thai
Stefan Stojanov
Zixuan Huang
Isaac Rehg
James M. Rehg
CLL
77
0
0
18 Jan 2021
Studying Catastrophic Forgetting in Neural Ranking Models
Studying Catastrophic Forgetting in Neural Ranking Models
Jesús Lovón-Melgarejo
Laure Soulier
K. Pinel-Sauvagnat
L. Tamine
CLL
122
14
0
18 Jan 2021
Learning Invariant Representation for Continual Learning
Learning Invariant Representation for Continual Learning
Ghada Sokar
Decebal Constantin Mocanu
Mykola Pechenizkiy
BDLCLL
66
16
0
15 Jan 2021
Mining Data Impressions from Deep Models as Substitute for the
  Unavailable Training Data
Mining Data Impressions from Deep Models as Substitute for the Unavailable Training Data
Gaurav Kumar Nayak
Konda Reddy Mopuri
Saksham Jain
Anirban Chakraborty
68
14
0
15 Jan 2021
CLeaR: An Adaptive Continual Learning Framework for Regression Tasks
CLeaR: An Adaptive Continual Learning Framework for Regression Tasks
Yujiang He
Bernhard Sick
CLL
102
39
0
04 Jan 2021
Regularization-based Continual Learning for Anomaly Detection in
  Discrete Manufacturing
Regularization-based Continual Learning for Anomaly Detection in Discrete Manufacturing
Benjamin Maschler
T. Pham
M. Weyrich
115
35
0
02 Jan 2021
Incremental Embedding Learning via Zero-Shot Translation
Incremental Embedding Learning via Zero-Shot Translation
Kun-Juan Wei
Cheng Deng
Xu Yang
Maosen Li
CLL
84
22
0
31 Dec 2020
SID: Incremental Learning for Anchor-Free Object Detection via Selective
  and Inter-Related Distillation
SID: Incremental Learning for Anchor-Free Object Detection via Selective and Inter-Related Distillation
Can Peng
Kun-li Zhao
Sam Maksoud
Meng Li
Brian C. Lovell
CLLObjD
82
47
0
31 Dec 2020
Few Shot Learning With No Labels
Few Shot Learning With No Labels
Aditya Bharti
V. Balasubramanian
C. V. Jawahar
VLM
36
3
0
26 Dec 2020
Towards Continual Reinforcement Learning: A Review and Perspectives
Towards Continual Reinforcement Learning: A Review and Perspectives
Khimya Khetarpal
Matthew D Riemer
Irina Rish
Doina Precup
CLLOffRL
142
324
0
25 Dec 2020
Decentralized Federated Learning via Mutual Knowledge Transfer
Decentralized Federated Learning via Mutual Knowledge Transfer
Chengxi Li
Gang Li
P. Varshney
FedML
110
112
0
24 Dec 2020
IIRC: Incremental Implicitly-Refined Classification
IIRC: Incremental Implicitly-Refined Classification
Mohamed Abdelsalam
Mojtaba Faramarzi
Shagun Sodhani
A. Chandar
CLL
65
29
0
23 Dec 2020
Selective Forgetting of Deep Networks at a Finer Level than Samples
Selective Forgetting of Deep Networks at a Finer Level than Samples
Tomohiro Hayase
S. Yasutomi
Takashi Katoh
74
12
0
22 Dec 2020
Ekya: Continuous Learning of Video Analytics Models on Edge Compute
  Servers
Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers
Romil Bhardwaj
Zhengxu Xia
Ganesh Ananthanarayanan
Junchen Jiang
Nikolaos Karianakis
Yuanchao Shu
Kevin Hsieh
P. Bahl
Ion Stoica
79
169
0
19 Dec 2020
Continual Lifelong Learning in Natural Language Processing: A Survey
Continual Lifelong Learning in Natural Language Processing: A Survey
Magdalena Biesialska
Katarzyna Biesialska
Marta R. Costa-jussá
KELMCLL
97
222
0
17 Dec 2020
Incremental Learning from Low-labelled Stream Data in Open-Set Video
  Face Recognition
Incremental Learning from Low-labelled Stream Data in Open-Set Video Face Recognition
Eric López-López
Carlos V. Regueiro
X. M. Pardo
CLL
52
21
0
17 Dec 2020
Computation-Efficient Knowledge Distillation via Uncertainty-Aware Mixup
Computation-Efficient Knowledge Distillation via Uncertainty-Aware Mixup
Guodong Xu
Ziwei Liu
Chen Change Loy
UQCV
51
39
0
17 Dec 2020
Towards Recognizing New Semantic Concepts in New Visual Domains
Towards Recognizing New Semantic Concepts in New Visual Domains
Massimiliano Mancini
OOD
141
0
0
16 Dec 2020
I3DOL: Incremental 3D Object Learning without Catastrophic Forgetting
I3DOL: Incremental 3D Object Learning without Catastrophic Forgetting
Jiahua Dong
Yang Cong
Gan Sun
Bingtao Ma
Lichen Wang
3DPCCLL
95
32
0
16 Dec 2020
More Industry-friendly: Federated Learning with High Efficient Design
More Industry-friendly: Federated Learning with High Efficient Design
Dingwei Li
Qinglong Chang
Lixue Pang
Yanfang Zhang
Xudong Sun
Jikun Ding
Liang Zhang
FedML
33
1
0
16 Dec 2020
Class-incremental Learning with Rectified Feature-Graph Preservation
Class-incremental Learning with Rectified Feature-Graph Preservation
Cheng-Hsun Lei
Yi-Hsin
Wen-Hsiao Peng
Wei-Chen Chiu
CLL
66
4
0
15 Dec 2020
Variable-Shot Adaptation for Online Meta-Learning
Variable-Shot Adaptation for Online Meta-Learning
Tianhe Yu
Xinyang Geng
Chelsea Finn
Sergey Levine
CLLOffRL
58
4
0
14 Dec 2020
Multi-Domain Multi-Task Rehearsal for Lifelong Learning
Multi-Domain Multi-Task Rehearsal for Lifelong Learning
Fan Lyu
Shuai Wang
Wei Feng
Zihan Ye
Fuyuan Hu
Song Wang
CLL
65
28
0
14 Dec 2020
Learn-Prune-Share for Lifelong Learning
Learn-Prune-Share for Lifelong Learning
Zifeng Wang
T. Jian
Kaushik R. Chowdhury
Yanzhi Wang
Jennifer Dy
Stratis Ioannidis
KELMCLL
66
36
0
13 Dec 2020
Knowledge Capture and Replay for Continual Learning
Knowledge Capture and Replay for Continual Learning
Saisubramaniam Gopalakrishnan
Pranshu Ranjan Singh
Haytham M. Fayek
Savitha Ramasamy
Arulmurugan Ambikapathi
CLL
78
18
0
12 Dec 2020
Overcoming Catastrophic Forgetting in Graph Neural Networks
Overcoming Catastrophic Forgetting in Graph Neural Networks
Huihui Liu
Yiding Yang
Xinchao Wang
229
120
0
10 Dec 2020
Continual Adaptation of Visual Representations via Domain Randomization
  and Meta-learning
Continual Adaptation of Visual Representations via Domain Randomization and Meta-learning
Riccardo Volpi
Diane Larlus
Grégory Rogez
VLMOODCLL
71
74
0
08 Dec 2020
Self-Training for Class-Incremental Semantic Segmentation
Self-Training for Class-Incremental Semantic Segmentation
Lu Yu
Xialei Liu
Joost van de Weijer
CLLSSL
87
57
0
06 Dec 2020
Few-shot Image Generation with Elastic Weight Consolidation
Few-shot Image Generation with Elastic Weight Consolidation
Yijun Li
Richard Y. Zhang
Jingwan Lu
Eli Shechtman
3DH
108
169
0
04 Dec 2020
Prototype-based Incremental Few-Shot Semantic Segmentation
Prototype-based Incremental Few-Shot Semantic Segmentation
Fabio Cermelli
Massimiliano Mancini
Yongqin Xian
Zeynep Akata
Barbara Caputo
VLMCLL
79
25
0
30 Nov 2020
Incremental Learning via Rate Reduction
Incremental Learning via Rate Reduction
Ziyang Wu
Christina Baek
Chong You
Yi-An Ma
CLL
76
40
0
30 Nov 2020
Association: Remind Your GAN not to Forget
Association: Remind Your GAN not to Forget
Yi Gu
Jie Li
Yuting Gao
Ruoxin Chen
Chentao Wu
Feiyang Cai
Chao Wang
Zirui Zhang
CLL
37
1
0
27 Nov 2020
Better Knowledge Retention through Metric Learning
Better Knowledge Retention through Metric Learning
Ke Li
Shichong Peng
Kailas Vodrahalli
Jitendra Malik
CLL
32
0
0
26 Nov 2020
Overcoming Catastrophic Forgetting via Direction-Constrained
  Optimization
Overcoming Catastrophic Forgetting via Direction-Constrained Optimization
Yunfei Teng
A. Choromańska
Murray Campbell
Songtao Lu
Parikshit Ram
L. Horesh
CLL
73
2
0
25 Nov 2020
Lethean Attack: An Online Data Poisoning Technique
Lethean Attack: An Online Data Poisoning Technique
Eyal Perry
SILMAAML
13
1
0
24 Nov 2020
Energy-Based Models for Continual Learning
Energy-Based Models for Continual Learning
Shuang Li
Yilun Du
Gido M. van de Ven
Igor Mordatch
89
42
0
24 Nov 2020
PLOP: Learning without Forgetting for Continual Semantic Segmentation
PLOP: Learning without Forgetting for Continual Semantic Segmentation
Arthur Douillard
Yifu Chen
Arnaud Dapogny
Matthieu Cord
CLL
76
243
0
23 Nov 2020
Sequential Targeting: an incremental learning approach for data
  imbalance in text classification
Sequential Targeting: an incremental learning approach for data imbalance in text classification
Joel Jang
Yoonjeon Kim
Kyoungho Choi
Sungho Suh
49
29
0
20 Nov 2020
Positive-Congruent Training: Towards Regression-Free Model Updates
Positive-Congruent Training: Towards Regression-Free Model Updates
Sijie Yan
Yuanjun Xiong
Kaustav Kundu
Shuo Yang
Siqi Deng
Meng Wang
Wei Xia
Stefano Soatto
BDL
93
53
0
18 Nov 2020
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