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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 / 2,216 papers shown
Title
AttentionHTR: Handwritten Text Recognition Based on Attention
  Encoder-Decoder Networks
AttentionHTR: Handwritten Text Recognition Based on Attention Encoder-Decoder Networks
Dmitrijs Kass
Ekta Vats
HAI
51
28
0
23 Jan 2022
Continual Learning for CTR Prediction: A Hybrid Approach
Continual Learning for CTR Prediction: A Hybrid Approach
Ke Hu
Yi Qi
Jianqiang Huang
Jia Cheng
Jun Lei
28
6
0
18 Jan 2022
The CLEAR Benchmark: Continual LEArning on Real-World Imagery
The CLEAR Benchmark: Continual LEArning on Real-World Imagery
Zhiqiu Lin
Jia Shi
Deepak Pathak
Deva Ramanan
CLL
VLM
151
92
0
17 Jan 2022
Transferability in Deep Learning: A Survey
Transferability in Deep Learning: A Survey
Junguang Jiang
Yang Shu
Jianmin Wang
Mingsheng Long
OOD
39
101
0
15 Jan 2022
Federated Continual Learning for Socially Aware Robotics
Federated Continual Learning for Socially Aware Robotics
Luke M. Guerdan
Hatice Gunes
FedML
34
3
0
14 Jan 2022
Technical Report for ICCV 2021 Challenge SSLAD-Track3B: Transformers Are
  Better Continual Learners
Technical Report for ICCV 2021 Challenge SSLAD-Track3B: Transformers Are Better Continual Learners
Duo Li
Guimei Cao
Yunlu Xu
Zhanzhan Cheng
Yi Niu
CLL
30
21
0
13 Jan 2022
Intra-domain and cross-domain transfer learning for time series data --
  How transferable are the features?
Intra-domain and cross-domain transfer learning for time series data -- How transferable are the features?
Erik Otović
Marko Njirjak
Dario Jozinović
G. Mauša
A. Michelini
Ivan Štajduhar
AI4TS
36
40
0
12 Jan 2022
Continual Learning of Long Topic Sequences in Neural Information
  Retrieval
Continual Learning of Long Topic Sequences in Neural Information Retrieval
Thomas Gerald
Laure Soulier
CLL
48
4
0
10 Jan 2022
Improved Input Reprogramming for GAN Conditioning
Improved Input Reprogramming for GAN Conditioning
Tuan Dinh
Daewon Seo
Zhixu Du
Liang Shang
Kangwook Lee
AI4CE
27
8
0
07 Jan 2022
An Incremental Learning Approach to Automatically Recognize Pulmonary
  Diseases from the Multi-vendor Chest Radiographs
An Incremental Learning Approach to Automatically Recognize Pulmonary Diseases from the Multi-vendor Chest Radiographs
Mehreen Sirshar
Taimur Hassan
M. Akram
S. Khan
32
33
0
07 Jan 2022
Exemplar-free Class Incremental Learning via Discriminative and
  Comparable One-class Classifiers
Exemplar-free Class Incremental Learning via Discriminative and Comparable One-class Classifiers
Wenju Sun
Qingyong Li
Jing Zhang
Danyu Wang
Wen Wang
Yangli-ao Geng
BDL
29
3
0
05 Jan 2022
Hyperparameter-free Continuous Learning for Domain Classification in
  Natural Language Understanding
Hyperparameter-free Continuous Learning for Domain Classification in Natural Language Understanding
Ting Hua
Yilin Shen
Changsheng Zhao
Yen-Chang Hsu
Hongxia Jin
39
5
0
05 Jan 2022
Towards Unsupervised Open World Semantic Segmentation
Towards Unsupervised Open World Semantic Segmentation
Svenja Uhlemeyer
Matthias Rottmann
Hanno Gottschalk
36
18
0
04 Jan 2022
Sound and Visual Representation Learning with Multiple Pretraining Tasks
Sound and Visual Representation Learning with Multiple Pretraining Tasks
A. Vasudevan
Dengxin Dai
Luc Van Gool
SSL
38
6
0
04 Jan 2022
Class-Incremental Continual Learning into the eXtended DER-verse
Class-Incremental Continual Learning into the eXtended DER-verse
Matteo Boschini
Lorenzo Bonicelli
Pietro Buzzega
Angelo Porrello
Simone Calderara
CLL
BDL
37
129
0
03 Jan 2022
Relational Experience Replay: Continual Learning by Adaptively Tuning
  Task-wise Relationship
Relational Experience Replay: Continual Learning by Adaptively Tuning Task-wise Relationship
Quanziang Wang
Renzhen Wang
Yuexiang Li
Dong Wei
Kai Ma
Yefeng Zheng
Deyu Meng
CLL
38
7
0
31 Dec 2021
Continually Learning Self-Supervised Representations with Projected
  Functional Regularization
Continually Learning Self-Supervised Representations with Projected Functional Regularization
Alex Gomez-Villa
Bartlomiej Twardowski
Lu Yu
Andrew D. Bagdanov
Joost van de Weijer
CLL
SSL
28
37
0
30 Dec 2021
FRIDA -- Generative Feature Replay for Incremental Domain Adaptation
FRIDA -- Generative Feature Replay for Incremental Domain Adaptation
Sayan Rakshit
Anwesh Mohanty
Ruchika Chavhan
Biplab Banerjee
Gemma Roig
S. Chaudhuri
CLL
25
10
0
28 Dec 2021
Towards continual task learning in artificial neural networks: current
  approaches and insights from neuroscience
Towards continual task learning in artificial neural networks: current approaches and insights from neuroscience
David McCaffary
CLL
23
5
0
28 Dec 2021
Efficient Diversity-Driven Ensemble for Deep Neural Networks
Efficient Diversity-Driven Ensemble for Deep Neural Networks
Wentao Zhang
Jiawei Jiang
Yingxia Shao
Bin Cui
32
17
0
26 Dec 2021
Towards Federated Learning on Time-Evolving Heterogeneous Data
Towards Federated Learning on Time-Evolving Heterogeneous Data
Yongxin Guo
Tao R. Lin
Xiaoying Tang
FedML
24
30
0
25 Dec 2021
Continual Learning for Unsupervised Anomaly Detection in Continuous
  Auditing of Financial Accounting Data
Continual Learning for Unsupervised Anomaly Detection in Continuous Auditing of Financial Accounting Data
Hamed Hemati
Marco Schreyer
Damian Borth
36
9
0
25 Dec 2021
Graph Few-shot Class-incremental Learning
Graph Few-shot Class-incremental Learning
Zhen Tan
Kaize Ding
Ruocheng Guo
Huan Liu
CLL
GNN
39
59
0
23 Dec 2021
PyCIL: A Python Toolbox for Class-Incremental Learning
PyCIL: A Python Toolbox for Class-Incremental Learning
Da-Wei Zhou
Fu Lee Wang
Han-Jia Ye
De-Chuan Zhan
CLL
48
93
0
23 Dec 2021
DILF-EN framework for Class-Incremental Learning
DILF-EN framework for Class-Incremental Learning
M. A. Karim
Indu Joshi
Pratik Mazumder
Pravendra Singh
CLL
30
1
0
23 Dec 2021
Continual learning of longitudinal health records
Continual learning of longitudinal health records
Jacob Armstrong
David Clifton
CLL
KELM
32
15
0
22 Dec 2021
How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial
  Robustness?
How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial Robustness?
Xinhsuai Dong
Anh Tuan Luu
Min Lin
Shuicheng Yan
Hanwang Zhang
SILM
AAML
25
55
0
22 Dec 2021
EyePAD++: A Distillation-based approach for joint Eye Authentication and
  Presentation Attack Detection using Periocular Images
EyePAD++: A Distillation-based approach for joint Eye Authentication and Presentation Attack Detection using Periocular Images
Prithviraj Dhar
Amit Kumar
Kirsten Kaplan
Khushi Gupta
Rakesh Ranjan
Ramalingam Chellappa
AAML
24
11
0
22 Dec 2021
Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks
Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks
Zixuan Ke
Bing-Quan Liu
Xingchang Huang
CLL
25
122
0
18 Dec 2021
An Autonomous Self-Incremental Learning Approach for Detection of Cyber
  Attacks on Unmanned Aerial Vehicles (UAVs)
An Autonomous Self-Incremental Learning Approach for Detection of Cyber Attacks on Unmanned Aerial Vehicles (UAVs)
Yasir Ali Farrukh
Irfan Khan
AAML
27
0
0
18 Dec 2021
Distill and De-bias: Mitigating Bias in Face Verification using
  Knowledge Distillation
Distill and De-bias: Mitigating Bias in Face Verification using Knowledge Distillation
Prithviraj Dhar
Joshua Gleason
A. Roy
Carlos D. Castillo
P. Phillips
Ramalingam Chellappa
CVBM
30
7
0
17 Dec 2021
Continual Learning for Monolingual End-to-End Automatic Speech
  Recognition
Continual Learning for Monolingual End-to-End Automatic Speech Recognition
Steven Vander Eeckt
Hugo Van hamme
CLL
22
17
0
17 Dec 2021
Automated Deep Learning: Neural Architecture Search Is Not the End
Automated Deep Learning: Neural Architecture Search Is Not the End
Xuanyi Dong
D. Kedziora
Katarzyna Musial
Bogdan Gabrys
41
26
0
16 Dec 2021
Monitoring crop phenology with street-level imagery using computer
  vision
Monitoring crop phenology with street-level imagery using computer vision
R. d’Andrimont
M. Yordanov
Laura Martinez-Sanchez
M. Velde
27
25
0
16 Dec 2021
Effective prevention of semantic drift as angular distance in
  memory-less continual deep neural networks
Effective prevention of semantic drift as angular distance in memory-less continual deep neural networks
Khouloud Saadi
Muhammad Taimoor Khan
CLL
17
0
0
16 Dec 2021
An Empirical Investigation of the Role of Pre-training in Lifelong
  Learning
An Empirical Investigation of the Role of Pre-training in Lifelong Learning
Sanket Vaibhav Mehta
Darshan Patil
Sarath Chandar
Emma Strubell
CLL
47
139
0
16 Dec 2021
MAVE: A Product Dataset for Multi-source Attribute Value Extraction
MAVE: A Product Dataset for Multi-source Attribute Value Extraction
Li Yang
Qifan Wang
Zac Yu
Anand Kulkarni
Sumit Sanghai
Bin Shu
Jonathan L. Elsas
Bhargav Kanagal
21
67
0
16 Dec 2021
Learning to Prompt for Continual Learning
Learning to Prompt for Continual Learning
Zifeng Wang
Zizhao Zhang
Chen-Yu Lee
Han Zhang
Ruoxi Sun
Xiaoqi Ren
Guolong Su
Vincent Perot
Jennifer Dy
Tomas Pfister
CLL
VPVLM
KELM
VLM
22
743
0
16 Dec 2021
Lifelong Generative Modelling Using Dynamic Expansion Graph Model
Lifelong Generative Modelling Using Dynamic Expansion Graph Model
Fei Ye
A. Bors
CLL
27
10
0
15 Dec 2021
Object Pursuit: Building a Space of Objects via Discriminative Weight
  Generation
Object Pursuit: Building a Space of Objects via Discriminative Weight Generation
Chuanyu Pan
Yanchao Yang
Kaichun Mo
Yueqi Duan
Leonidas J. Guibas
OCL
23
1
0
15 Dec 2021
Static-Dynamic Co-Teaching for Class-Incremental 3D Object Detection
Static-Dynamic Co-Teaching for Class-Incremental 3D Object Detection
Na Zhao
G. Lee
CLL
34
16
0
14 Dec 2021
Lifelong Unsupervised Domain Adaptive Person Re-identification with
  Coordinated Anti-forgetting and Adaptation
Lifelong Unsupervised Domain Adaptive Person Re-identification with Coordinated Anti-forgetting and Adaptation
Zhipeng Huang
Zhizheng Zhang
Cuiling Lan
Wenjun Zeng
Peng Chu
Quanzeng You
Jiang Wang
Zicheng Liu
Zhengjun Zha
CLL
45
36
0
13 Dec 2021
Ex-Model: Continual Learning from a Stream of Trained Models
Ex-Model: Continual Learning from a Stream of Trained Models
Antonio Carta
Andrea Cossu
Vincenzo Lomonaco
D. Bacciu
CLL
19
11
0
13 Dec 2021
Improving Vision Transformers for Incremental Learning
Improving Vision Transformers for Incremental Learning
Pei Yu
Yinpeng Chen
Ying Jin
Zicheng Liu
CLL
ViT
27
16
0
12 Dec 2021
Provable Continual Learning via Sketched Jacobian Approximations
Provable Continual Learning via Sketched Jacobian Approximations
Reinhard Heckel
CLL
22
9
0
09 Dec 2021
Gradient-matching coresets for continual learning
Gradient-matching coresets for continual learning
Lukas Balles
Giovanni Zappella
Cédric Archambeau
CLL
DD
49
2
0
09 Dec 2021
Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class
  Incremental Learning
Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning
Yujun Shi
Kuangqi Zhou
Jian Liang
Zihang Jiang
Jiashi Feng
Philip Torr
Song Bai
Vincent Y. F. Tan
CLL
28
62
0
09 Dec 2021
Self-Supervised Models are Continual Learners
Self-Supervised Models are Continual Learners
Enrico Fini
Victor G. Turrisi da Costa
Xavier Alameda-Pineda
Elisa Ricci
Alahari Karteek
Julien Mairal
BDL
CLL
SSL
60
161
0
08 Dec 2021
A Contrastive Distillation Approach for Incremental Semantic
  Segmentation in Aerial Images
A Contrastive Distillation Approach for Incremental Semantic Segmentation in Aerial Images
Edoardo Arnaudo
Fabio Cermelli
A. Tavera
Claudio Rossi
Barbara Caputo
CLL
24
9
0
07 Dec 2021
Is Class-Incremental Enough for Continual Learning?
Is Class-Incremental Enough for Continual Learning?
Andrea Cossu
G. Graffieti
Lorenzo Pellegrini
Davide Maltoni
D. Bacciu
Antonio Carta
Vincenzo Lomonaco
CLL
47
30
0
06 Dec 2021
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