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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
Progressive Prompts: Continual Learning for Language Models
Progressive Prompts: Continual Learning for Language ModelsInternational Conference on Learning Representations (ICLR), 2023
Anastasia Razdaibiedina
Yuning Mao
Rui Hou
Madian Khabsa
M. Lewis
Amjad Almahairi
VLMKELMCLL
285
191
0
29 Jan 2023
Learning and Predicting Multimodal Vehicle Action Distributions in a
  Unified Probabilistic Model Without Labels
Learning and Predicting Multimodal Vehicle Action Distributions in a Unified Probabilistic Model Without Labels
Charles Richter
Patrick R. Barragán
S. Karaman
SSL
251
1
0
14 Dec 2022
A soft nearest-neighbor framework for continual semi-supervised learning
A soft nearest-neighbor framework for continual semi-supervised learningIEEE International Conference on Computer Vision (ICCV), 2022
Zhiqi Kang
Enrico Fini
Moin Nabi
Elisa Ricci
Alahari Karteek
SSLBDLCLL
293
22
0
09 Dec 2022
Bio-Inspired, Task-Free Continual Learning through Activity
  Regularization
Bio-Inspired, Task-Free Continual Learning through Activity RegularizationBiological cybernetics (Biol Cybern), 2022
Francesco Lassig
Pau Vilimelis Aceituno
M. Sorbaro
Benjamin Grewe
CLL
152
11
0
08 Dec 2022
Neural Weight Search for Scalable Task Incremental Learning
Neural Weight Search for Scalable Task Incremental LearningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Jian Jiang
Oya Celiktutan
CLL
153
11
0
24 Nov 2022
Hierarchically Structured Task-Agnostic Continual Learning
Hierarchically Structured Task-Agnostic Continual LearningMachine-mediated learning (ML), 2022
Heinke Hihn
Daniel A. Braun
BDLCLL
161
14
0
14 Nov 2022
Generative Negative Text Replay for Continual Vision-Language
  Pretraining
Generative Negative Text Replay for Continual Vision-Language PretrainingEuropean Conference on Computer Vision (ECCV), 2022
Shipeng Yan
Lanqing Hong
Hang Xu
Jianhua Han
Tinne Tuytelaars
Zhenguo Li
Xuming He
VLMCLLCLIP
163
23
0
31 Oct 2022
Task-Free Continual Learning via Online Discrepancy Distance Learning
Task-Free Continual Learning via Online Discrepancy Distance LearningNeural Information Processing Systems (NeurIPS), 2022
Fei Ye
A. Bors
CLL
294
32
0
12 Oct 2022
TAME: Task Agnostic Continual Learning using Multiple Experts
TAME: Task Agnostic Continual Learning using Multiple Experts
Haoran Zhu
Maryam Majzoubi
Arihant Jain
A. Choromańska
OOD
154
6
0
08 Oct 2022
Distance Based Image Classification: A solution to generative
  classification's conundrum?
Distance Based Image Classification: A solution to generative classification's conundrum?International Journal of Computer Vision (IJCV), 2022
Wen-Yan Lin
Siying Liu
B. Dai
Hongdong Li
VLM
107
4
0
04 Oct 2022
Beyond Supervised Continual Learning: a Review
Beyond Supervised Continual Learning: a Review
Benedikt Bagus
A. Gepperth
Timothée Lesort
BDLCLL
231
13
0
30 Aug 2022
Semi-Supervised and Unsupervised Deep Visual Learning: A Survey
Semi-Supervised and Unsupervised Deep Visual Learning: A SurveyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Yanbei Chen
Goran Frehse
Xiatian Zhu
Zeynep Akata
303
164
0
24 Aug 2022
SCALE: Online Self-Supervised Lifelong Learning without Prior Knowledge
SCALE: Online Self-Supervised Lifelong Learning without Prior Knowledge
Xiaofan Yu
Yunhui Guo
Sicun Gao
Tajana Simunic
CLLSSL
357
21
0
24 Aug 2022
Task-agnostic Continual Hippocampus Segmentation for Smooth Population
  Shifts
Task-agnostic Continual Hippocampus Segmentation for Smooth Population Shifts
Camila González
Amin Ranem
Ahmed Othman
Anirban Mukhopadhyay
OOD
160
8
0
05 Aug 2022
Balancing Stability and Plasticity through Advanced Null Space in
  Continual Learning
Balancing Stability and Plasticity through Advanced Null Space in Continual LearningEuropean Conference on Computer Vision (ECCV), 2022
Yajing Kong
Liu Liu
Zhen Wang
Dacheng Tao
CLL
146
49
0
25 Jul 2022
Continual Variational Autoencoder Learning via Online Cooperative
  Memorization
Continual Variational Autoencoder Learning via Online Cooperative MemorizationEuropean Conference on Computer Vision (ECCV), 2022
Fei Ye
A. Bors
CLL
171
21
0
20 Jul 2022
CULT: Continual Unsupervised Learning with Typicality-Based Environment
  Detection
CULT: Continual Unsupervised Learning with Typicality-Based Environment Detection
Oliver Daniels-Koch
DRL
43
0
0
17 Jul 2022
How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on
  Continual Learning and Functional Composition
How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on Continual Learning and Functional Composition
Jorge Armando Mendez Mendez
Eric Eaton
KELMCLL
273
35
0
15 Jul 2022
Contrastive Learning for Online Semi-Supervised General Continual
  Learning
Contrastive Learning for Online Semi-Supervised General Continual LearningInternational Conference on Information Photonics (ICIP), 2022
Nicolas Michel
Romain Negrel
Giovanni Chierchia
J. Bercher
CLLSSL
184
7
0
12 Jul 2022
Learning an evolved mixture model for task-free continual learning
Learning an evolved mixture model for task-free continual learningInternational Conference on Information Photonics (ICIP), 2022
Fei Ye
A. Bors
CLL
188
9
0
11 Jul 2022
Memory-free Online Change-point Detection: A Novel Neural Network
  Approach
Memory-free Online Change-point Detection: A Novel Neural Network Approach
Zahra Atashgahi
Decebal Constantin Mocanu
Raymond N. J. Veldhuis
Mykola Pechenizkiy
AI4TS
183
12
0
08 Jul 2022
Modular Lifelong Reinforcement Learning via Neural Composition
Modular Lifelong Reinforcement Learning via Neural CompositionInternational Conference on Learning Representations (ICLR), 2022
Jorge Armando Mendez Mendez
H. V. Seijen
Eric Eaton
OffRLKELMCLL
263
49
0
01 Jul 2022
Hebbian Continual Representation Learning
Hebbian Continual Representation LearningHawaii International Conference on System Sciences (HICSS), 2022
P. Morawiecki
Andrii Krutsylo
Maciej Wołczyk
Marek Śmieja
CLL
128
2
0
28 Jun 2022
Transfer Learning via Test-Time Neural Networks Aggregation
Transfer Learning via Test-Time Neural Networks AggregationVISIGRAPP (VISIGRAPP), 2022
Bruno Casella
Alessio Barbaro Chisari
Sebastiano Battiato
M. Giuffrida
FedMLOOD
145
5
0
27 Jun 2022
Beyond Just Vision: A Review on Self-Supervised Representation Learning
  on Multimodal and Temporal Data
Beyond Just Vision: A Review on Self-Supervised Representation Learning on Multimodal and Temporal Data
Shohreh Deldari
Hao Xue
Aaqib Saeed
Jiayuan He
Daniel V. Smith
Flora D. Salim
AI4TS
215
43
0
06 Jun 2022
Top-down inference in an early visual cortex inspired hierarchical
  Variational Autoencoder
Top-down inference in an early visual cortex inspired hierarchical Variational Autoencoder
F. Csikor
B. Meszéna
Bence Szabó
Gergő Orbán
BDLDRL
220
7
0
01 Jun 2022
Thalamus: a brain-inspired algorithm for biologically-plausible
  continual learning and disentangled representations
Thalamus: a brain-inspired algorithm for biologically-plausible continual learning and disentangled representationsInternational Conference on Learning Representations (ICLR), 2022
Ali Hummos
CLL
189
12
0
24 May 2022
Continual Learning with Bayesian Model based on a Fixed Pre-trained
  Feature Extractor
Continual Learning with Bayesian Model based on a Fixed Pre-trained Feature Extractor
Yang Yang
Z. Cui
Junjie Xu
Changhong Zhong
Weishi Zheng
Ruixuan Wang
MedImBDLOOD
193
50
0
28 Apr 2022
Out-Of-Distribution Detection In Unsupervised Continual Learning
Out-Of-Distribution Detection In Unsupervised Continual Learning
Jiangpeng He
Fengqing Zhu
OODD
107
14
0
12 Apr 2022
The Challenges of Continuous Self-Supervised Learning
The Challenges of Continuous Self-Supervised LearningEuropean Conference on Computer Vision (ECCV), 2022
Senthil Purushwalkam
Pedro Morgado
Abhinav Gupta
CLL
216
55
0
23 Mar 2022
Lifelong Adaptive Machine Learning for Sensor-based Human Activity
  Recognition Using Prototypical Networks
Lifelong Adaptive Machine Learning for Sensor-based Human Activity Recognition Using Prototypical NetworksItalian National Conference on Sensors (INS), 2022
Rebecca Adaimi
Edison Thomaz
CLL
140
19
0
11 Mar 2022
Continual Learning with Invertible Generative Models
Continual Learning with Invertible Generative ModelsNeural Networks (NN), 2022
Jary Pomponi
Simone Scardapane
A. Uncini
BDL
272
5
0
11 Feb 2022
Unsupervised physics-informed disentanglement of multimodal data for
  high-throughput scientific discovery
Unsupervised physics-informed disentanglement of multimodal data for high-throughput scientific discovery
N. Trask
Carianne Martinez
Kookjin Lee
Brad L. Boyce
DRLAI4CE
129
10
0
07 Feb 2022
Logarithmic Continual Learning
Logarithmic Continual LearningIEEE Access (IEEE Access), 2022
Wojciech Masarczyk
Pawel Wawrzyñski
Daniel Marczak
Kamil Deja
Tomasz Trzciñski
141
4
0
17 Jan 2022
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
CLLSSL
231
47
0
30 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
CLLVPVLMKELMVLM
347
1,048
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
178
13
0
15 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
BDLCLLSSL
279
202
0
08 Dec 2021
Self-Supervised Class Incremental Learning
Self-Supervised Class Incremental Learning
Zixuan Ni
Siliang Tang
Yueting Zhuang
CLL
129
7
0
18 Nov 2021
From Machine Learning to Robotics: Challenges and Opportunities for
  Embodied Intelligence
From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence
Nicholas Roy
Ingmar Posner
Timothy D. Barfoot
Philippe Beaudoin
Yoshua Bengio
...
S. Schaal
Gaurav Sukhatme
D. Thérien
Marc Toussaint
M. van de Panne
294
82
0
28 Oct 2021
Mixture-of-Variational-Experts for Continual Learning
Mixture-of-Variational-Experts for Continual Learning
Y. Yin
Yu Wang
CLLFedML
290
10
0
25 Oct 2021
Growing Representation Learning
Growing Representation Learning
Ryan N. King
Bobak J. Mortazavi
CLLOOD
68
0
0
17 Oct 2021
Representational Continuity for Unsupervised Continual Learning
Representational Continuity for Unsupervised Continual Learning
Divyam Madaan
Jaehong Yoon
Yuanchun Li
Yunxin Liu
Sung Ju Hwang
CLLSSL
333
136
0
13 Oct 2021
Hypernetworks for Continual Semi-Supervised Learning
Hypernetworks for Continual Semi-Supervised Learning
Dhanajit Brahma
Vinay Kumar Verma
Piyush Rai
BDLCLL
145
14
0
05 Oct 2021
DualNet: Continual Learning, Fast and Slow
DualNet: Continual Learning, Fast and Slow
Quang Pham
Chenghao Liu
Guosheng Lin
CLL
275
49
0
01 Oct 2021
Recent Advances of Continual Learning in Computer Vision: An Overview
Recent Advances of Continual Learning in Computer Vision: An OverviewIET Computer Vision (ICV), 2021
Haoxuan Qu
Hossein Rahmani
Kepeng Xu
Bryan M. Williams
Jun Liu
VLMCLL
454
98
0
23 Sep 2021
A Conditional Generative Matching Model for Multi-lingual Reply
  Suggestion
A Conditional Generative Matching Model for Multi-lingual Reply Suggestion
Budhaditya Deb
Guoqing Zheng
Milad Shokouhi
Ahmed Hassan Awadallah
128
1
0
15 Sep 2021
Online Unsupervised Learning of Visual Representations and Categories
Online Unsupervised Learning of Visual Representations and Categories
Mengye Ren
Tyler R. Scott
Michael L. Iuzzolino
Michael C. Mozer
R. Zemel
OCLSSL
324
5
0
13 Sep 2021
Complementary Calibration: Boosting General Continual Learning with
  Collaborative Distillation and Self-Supervision
Complementary Calibration: Boosting General Continual Learning with Collaborative Distillation and Self-Supervision
Zhong Ji
Jin Li
Qiang Wang
Zhongfei Zhang
CLL
163
21
0
03 Sep 2021
Catastrophic Interference in Reinforcement Learning: A Solution Based on
  Context Division and Knowledge Distillation
Catastrophic Interference in Reinforcement Learning: A Solution Based on Context Division and Knowledge DistillationIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Tiantian Zhang
Xueqian Wang
Bin Liang
Bo Yuan
OffRL
127
20
0
01 Sep 2021
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