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Continual Unsupervised Representation Learning

Continual Unsupervised Representation Learning

Neural Information Processing Systems (NeurIPS), 2019
31 October 2019
Dushyant Rao
Francesco Visin
Andrei A. Rusu
Yee Whye Teh
Razvan Pascanu
R. Hadsell
    BDLCLLSSLDRL
ArXiv (abs)PDFHTML

Papers citing "Continual Unsupervised Representation Learning"

50 / 166 papers shown
Title
Lifelong Infinite Mixture Model Based on Knowledge-Driven Dirichlet
  Process
Lifelong Infinite Mixture Model Based on Knowledge-Driven Dirichlet ProcessIEEE International Conference on Computer Vision (ICCV), 2021
Fei Ye
A. Bors
CLL
116
22
0
25 Aug 2021
Continual Neural Mapping: Learning An Implicit Scene Representation from
  Sequential Observations
Continual Neural Mapping: Learning An Implicit Scene Representation from Sequential ObservationsIEEE International Conference on Computer Vision (ICCV), 2021
Zike Yan
Yuxin Tian
Xuesong Shi
Ping Guo
Peng Wang
H. Zha
CLL
149
52
0
12 Aug 2021
Discriminative Distillation to Reduce Class Confusion in Continual
  Learning
Discriminative Distillation to Reduce Class Confusion in Continual LearningChinese Conference on Pattern Recognition and Computer Vision (CPRCV), 2021
Changhong Zhong
Z. Cui
Ruixuan Wang
Weishi Zheng
128
1
0
11 Aug 2021
Meta-Reinforcement Learning in Broad and Non-Parametric Environments
Meta-Reinforcement Learning in Broad and Non-Parametric EnvironmentsIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Zhenshan Bing
Lukas Knak
F. O. Morin
Kai-Qi Huang
Alois C. Knoll
OffRL
153
24
0
08 Aug 2021
Quantum Continual Learning Overcoming Catastrophic Forgetting
Quantum Continual Learning Overcoming Catastrophic ForgettingChinese Physics Letters (CPL), 2021
Wenjie Jiang
Zhide Lu
D. Deng
213
12
0
05 Aug 2021
Lifelong Twin Generative Adversarial Networks
Lifelong Twin Generative Adversarial NetworksInternational Conference on Information Photonics (ICIP), 2021
Fei Ye
A. Bors
GANSyDa
88
14
0
09 Jul 2021
Lifelong Mixture of Variational Autoencoders
Lifelong Mixture of Variational AutoencodersIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Fei Ye
A. Bors
DRL
103
32
0
09 Jul 2021
Lifelong Teacher-Student Network Learning
Lifelong Teacher-Student Network LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Fei Ye
A. Bors
CLL
102
53
0
09 Jul 2021
Task-agnostic Continual Learning with Hybrid Probabilistic Models
Task-agnostic Continual Learning with Hybrid Probabilistic Models
Polina Kirichenko
Mehrdad Farajtabar
Dushyant Rao
Balaji Lakshminarayanan
Nir Levine
Ang Li
Huiyi Hu
A. Wilson
Razvan Pascanu
VLMBDLCLL
127
22
0
24 Jun 2021
Multiband VAE: Latent Space Alignment for Knowledge Consolidation in
  Continual Learning
Multiband VAE: Latent Space Alignment for Knowledge Consolidation in Continual Learning
Kamil Deja
Pawel Wawrzyñski
Wojciech Masarczyk
Daniel Marczak
Tomasz Trzciñski
CLL
133
5
0
23 Jun 2021
A Survey on Semi-Supervised Learning for Delayed Partially Labelled Data
  Streams
A Survey on Semi-Supervised Learning for Delayed Partially Labelled Data Streams
Heitor Murilo Gomes
Maciej Grzenda
R. Mello
Jesse Read
Minh-Huong Le Nguyen
Nikolaos Perrakis
259
59
0
16 Jun 2021
SPeCiaL: Self-Supervised Pretraining for Continual Learning
SPeCiaL: Self-Supervised Pretraining for Continual Learning
Lucas Caccia
Joelle Pineau
CLLSSL
124
19
0
16 Jun 2021
Deep Bayesian Unsupervised Lifelong Learning
Deep Bayesian Unsupervised Lifelong LearningNeural Networks (NN), 2021
Tingting Zhao
Zifeng Wang
A. Masoomi
Jennifer Dy
BDL
127
34
0
13 Jun 2021
Continual Learning in Deep Networks: an Analysis of the Last Layer
Continual Learning in Deep Networks: an Analysis of the Last Layer
Timothée Lesort
Thomas George
Irina Rish
KELM
186
23
0
03 Jun 2021
Encoders and Ensembles for Task-Free Continual Learning
Encoders and Ensembles for Task-Free Continual Learning
Murray Shanahan
Christos Kaplanis
Jovana Mitrović
CLL
349
25
0
27 May 2021
Continual Learning for Real-World Autonomous Systems: Algorithms,
  Challenges and Frameworks
Continual Learning for Real-World Autonomous Systems: Algorithms, Challenges and FrameworksJournal of Intelligent and Robotic Systems (JIRS), 2021
Khadija Shaheen
Muhammad Abdullah Hanif
Osman Hasan
Mohamed Bennai
CLL
215
117
0
26 May 2021
Continual World: A Robotic Benchmark For Continual Reinforcement
  Learning
Continual World: A Robotic Benchmark For Continual Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2021
Maciej Wołczyk
Michal Zajkac
Razvan Pascanu
Lukasz Kuciñski
Piotr Milo's
CLLOffRL
268
111
0
23 May 2021
TAG: Task-based Accumulated Gradients for Lifelong learning
TAG: Task-based Accumulated Gradients for Lifelong learning
Pranshu Malviya
B. Ravindran
Sarath Chandar
CLL
184
5
0
11 May 2021
Schematic Memory Persistence and Transience for Efficient and Robust
  Continual Learning
Schematic Memory Persistence and Transience for Efficient and Robust Continual LearningNeural Networks (NN), 2021
Yuyang Gao
Giorgio Ascoli
Bo Pan
135
6
0
05 May 2021
Preserving Earlier Knowledge in Continual Learning with the Help of All
  Previous Feature Extractors
Preserving Earlier Knowledge in Continual Learning with the Help of All Previous Feature Extractors
Zhuoyun Li
Changhong Zhong
Sijia Liu
Ruixuan Wang
Weishi Zheng
CLL
134
31
0
28 Apr 2021
Towards Visual Semantics
Towards Visual SemanticsSN Computer Science (SN Comput. Sci.), 2021
Fausto Giunchiglia
L. Erculiani
Baptiste Caramiaux
125
16
0
26 Apr 2021
How Well Does Self-Supervised Pre-Training Perform with Streaming Data?
How Well Does Self-Supervised Pre-Training Perform with Streaming Data?International Conference on Learning Representations (ICLR), 2021
Dapeng Hu
Shipeng Yan
Qizhengqiu Lu
Lanqing Hong
Hailin Hu
Yifan Zhang
Zhenguo Li
Xinchao Wang
Jiashi Feng
215
32
0
25 Apr 2021
IB-DRR: Incremental Learning with Information-Back Discrete
  Representation Replay
IB-DRR: Incremental Learning with Information-Back Discrete Representation Replay
Jian Jiang
Edoardo Cetin
Oya Celiktutan
114
11
0
21 Apr 2021
Unsupervised Continual Learning Via Pseudo Labels
Unsupervised Continual Learning Via Pseudo Labels
Jiangpeng He
Feng Zhu
SSLCLL
136
31
0
14 Apr 2021
Unsupervised Class-Incremental Learning Through Confusion
Unsupervised Class-Incremental Learning Through Confusion
Shivam Khare
Kun Cao
James M. Rehg
SSLCLL
198
7
0
09 Apr 2021
Streaming Self-Training via Domain-Agnostic Unlabeled Images
Streaming Self-Training via Domain-Agnostic Unlabeled Images
Zhiqiu Lin
Deva Ramanan
Aayush Bansal
LRM
152
6
0
07 Apr 2021
Meta-Learning with Variational Bayes
Meta-Learning with Variational Bayes
Lucas Lingle
BDLOOD
149
0
0
03 Mar 2021
Towards Continual, Online, Self-Supervised Depth
Towards Continual, Online, Self-Supervised Depth
Muhammad Umar Karim Khan
TTACLL
287
2
0
28 Feb 2021
POLA: Online Time Series Prediction by Adaptive Learning Rates
POLA: Online Time Series Prediction by Adaptive Learning RatesIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021
Wenyu Zhang
AI4TS
128
4
0
17 Feb 2021
Generalising via Meta-Examples for Continual Learning in the Wild
Generalising via Meta-Examples for Continual Learning in the WildInternational Conference on Machine Learning, Optimization, and Data Science (MOD), 2021
Alessia Bertugli
Stefano Vincenzi
Simone Calderara
Baptiste Caramiaux
CLL
156
2
0
28 Jan 2021
Online Continual Learning in Image Classification: An Empirical Survey
Online Continual Learning in Image Classification: An Empirical SurveyNeurocomputing (Neurocomputing), 2021
Zheda Mai
Ruiwen Li
Jihwan Jeong
David Quispe
Hyunwoo J. Kim
Scott Sanner
VLMCLL
434
470
0
25 Jan 2021
The Surprising Positive Knowledge Transfer in Continual 3D Object Shape
  Reconstruction
The Surprising Positive Knowledge Transfer in Continual 3D Object Shape ReconstructionInternational Conference on 3D Vision (3DV), 2021
Anh Thai
Stefan Stojanov
Zixuan Huang
Isaac Rehg
James M. Rehg
CLL
137
1
0
18 Jan 2021
ORDisCo: Effective and Efficient Usage of Incremental Unlabeled Data for
  Semi-supervised Continual Learning
ORDisCo: Effective and Efficient Usage of Incremental Unlabeled Data for Semi-supervised Continual LearningComputer Vision and Pattern Recognition (CVPR), 2021
Liyuan Wang
Kuo Yang
Chongxuan Li
Lanqing Hong
Zhenguo Li
Jun Zhu
CLLBDL
161
100
0
02 Jan 2021
Towards Recognizing New Semantic Concepts in New Visual Domains
Towards Recognizing New Semantic Concepts in New Visual Domains
Goran Frehse
OOD
225
0
0
16 Dec 2020
Latent Space Conditioning on Generative Adversarial Networks
Latent Space Conditioning on Generative Adversarial NetworksVISIGRAPP (VISIGRAPP), 2020
Ricard Durall
Kalun Ho
Franz-Josef Pfreundt
J. Keuper
GAN
70
2
0
16 Dec 2020
Detecting and Adapting to Irregular Distribution Shifts in Bayesian
  Online Learning
Detecting and Adapting to Irregular Distribution Shifts in Bayesian Online LearningNeural Information Processing Systems (NeurIPS), 2020
Aodong Li
Alex Boyd
Padhraic Smyth
Stephan Mandt
364
30
0
15 Dec 2020
A Review of Open-World Learning and Steps Toward Open-World Learning
  Without Labels
A Review of Open-World Learning and Steps Toward Open-World Learning Without Labels
Mohsen Jafarzadeh
A. Dhamija
Steve Cruz
Chunchun Li
T. Ahmad
Terrance E. Boult
VLMOffRL
195
12
0
25 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
235
3
0
25 Nov 2020
Class-incremental learning: survey and performance evaluation on image
  classification
Class-incremental learning: survey and performance evaluation on image classificationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Marc Masana
Xialei Liu
Bartlomiej Twardowski
Mikel Menta
Andrew D. Bagdanov
Joost van de Weijer
CLL
371
798
0
28 Oct 2020
What is Wrong with Continual Learning in Medical Image Segmentation?
What is Wrong with Continual Learning in Medical Image Segmentation?
Camila González
Nick Lemke
G. Sakas
Anirban Mukhopadhyay
CLL
211
32
0
21 Oct 2020
Class-incremental Learning with Pre-allocated Fixed Classifiers
Class-incremental Learning with Pre-allocated Fixed ClassifiersInternational Conference on Pattern Recognition (ICPR), 2020
F. Pernici
Matteo Bruni
C. Baecchi
F. Turchini
Marco Bertini
CLL
269
41
0
16 Oct 2020
Linear Mode Connectivity in Multitask and Continual Learning
Linear Mode Connectivity in Multitask and Continual LearningInternational Conference on Learning Representations (ICLR), 2020
Seyed Iman Mirzadeh
Mehrdad Farajtabar
Dilan Görür
Razvan Pascanu
H. Ghasemzadeh
CLL
257
164
0
09 Oct 2020
Sequential Changepoint Detection in Neural Networks with Checkpoints
Sequential Changepoint Detection in Neural Networks with Checkpoints
Michalis K. Titsias
Jakub Sygnowski
Yutian Chen
BDL
128
10
0
06 Oct 2020
Task Agnostic Continual Learning Using Online Variational Bayes with
  Fixed-Point Updates
Task Agnostic Continual Learning Using Online Variational Bayes with Fixed-Point UpdatesNeural Computation (Neural Comput.), 2020
Chen Zeno
Itay Golan
Elad Hoffer
Daniel Soudry
OODFedML
205
49
0
01 Oct 2020
Few-Shot Unsupervised Continual Learning through Meta-Examples
Few-Shot Unsupervised Continual Learning through Meta-Examples
Alessia Bertugli
Stefano Vincenzi
Simone Calderara
Baptiste Caramiaux
CLLSSL
178
8
0
17 Sep 2020
Continual Prototype Evolution: Learning Online from Non-Stationary Data
  Streams
Continual Prototype Evolution: Learning Online from Non-Stationary Data StreamsIEEE International Conference on Computer Vision (ICCV), 2020
Matthias De Lange
Tinne Tuytelaars
CLL
389
240
0
02 Sep 2020
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
148
78
0
20 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
108
7
0
14 Jul 2020
Graph-Based Continual Learning
Graph-Based Continual LearningInternational Conference on Learning Representations (ICLR), 2020
Binh Tang
David S. Matteson
BDLCLL
185
40
0
09 Jul 2020
Pseudo-Rehearsal for Continual Learning with Normalizing Flows
Pseudo-Rehearsal for Continual Learning with Normalizing Flows
Jary Pomponi
Simone Scardapane
A. Uncini
246
16
0
05 Jul 2020
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