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Learning without Forgetting

Learning without Forgetting

29 June 2016
Zhizhong Li
Derek Hoiem
    CLL
    OOD
    SSL
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Papers citing "Learning without Forgetting"

50 / 2,216 papers shown
Title
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
17
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
26
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
VLM
CLL
36
408
0
25 Jan 2021
ISP Distillation
ISP Distillation
Eli Schwartz
A. Bronstein
Raja Giryes
VLM
37
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
25
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
131
36
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
38
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
47
13
0
18 Jan 2021
Learning Invariant Representation for Continual Learning
Learning Invariant Representation for Continual Learning
Ghada Sokar
Decebal Constantin Mocanu
Mykola Pechenizkiy
BDL
CLL
32
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
27
13
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
54
38
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
43
32
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
51
21
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
CLL
ObjD
19
46
0
31 Dec 2020
Few Shot Learning With No Labels
Few Shot Learning With No Labels
Aditya Bharti
V. Balasubramanian
C. V. Jawahar
VLM
20
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
CLL
OffRL
56
311
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
26
106
0
24 Dec 2020
IIRC: Incremental Implicitly-Refined Classification
IIRC: Incremental Implicitly-Refined Classification
Mohamed Abdelsalam
Mojtaba Faramarzi
Shagun Sodhani
A. Chandar
CLL
19
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
21
10
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
27
163
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
KELM
CLL
23
216
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
17
20
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
23
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
31
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
3DPC
CLL
45
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
16
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
38
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
CLL
OffRL
33
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
19
25
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
KELM
CLL
34
35
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
35
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
168
112
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
VLM
OOD
CLL
28
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
CLL
SSL
28
54
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
28
167
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
VLM
CLL
30
24
0
30 Nov 2020
Incremental Learning via Rate Reduction
Incremental Learning via Rate Reduction
Ziyang Wu
Christina Baek
Chong You
Yi Ma
CLL
27
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
28
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
12
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
34
2
0
25 Nov 2020
Lethean Attack: An Online Data Poisoning Technique
Lethean Attack: An Online Data Poisoning Technique
Eyal Perry
SILM
AAML
6
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
32
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
19
234
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
17
26
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
31
49
0
18 Nov 2020
Continual Learning with Deep Artificial Neurons
Continual Learning with Deep Artificial Neurons
Blake Camp
J. Mandivarapu
Rolando Estrada
20
8
0
13 Nov 2020
Using IPA-Based Tacotron for Data Efficient Cross-Lingual Speaker
  Adaptation and Pronunciation Enhancement
Using IPA-Based Tacotron for Data Efficient Cross-Lingual Speaker Adaptation and Pronunciation Enhancement
Hamed Hemati
Damian Borth
19
9
0
12 Nov 2020
Bi-tuning of Pre-trained Representations
Bi-tuning of Pre-trained Representations
Jincheng Zhong
Ximei Wang
Zhi Kou
Jianmin Wang
Mingsheng Long
21
21
0
12 Nov 2020
A CNN-based Feature Space for Semi-supervised Incremental Learning in
  Assisted Living Applications
A CNN-based Feature Space for Semi-supervised Incremental Learning in Assisted Living Applications
Tobias Scheck
A. P. Grassi
G. Hirtz
SSL
4
1
0
11 Nov 2020
Learning Translation Invariance in CNNs
Learning Translation Invariance in CNNs
Valerio Biscione
J. Bowers
SSL
18
13
0
06 Nov 2020
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