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A Neural Dirichlet Process Mixture Model for Task-Free Continual
  Learning

A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning

3 January 2020
Soochan Lee
Junsoo Ha
Dongsu Zhang
Gunhee Kim
    BDL
    CLL
ArXivPDFHTML

Papers citing "A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning"

50 / 131 papers shown
Title
Real-Time Evaluation in Online Continual Learning: A New Hope
Real-Time Evaluation in Online Continual Learning: A New Hope
Yasir Ghunaim
Adel Bibi
Kumail Alhamoud
Motasem Alfarra
Hasan Hammoud
Ameya Prabhu
Philip Torr
Guohao Li
CLL
29
39
0
02 Feb 2023
A Comprehensive Survey of Continual Learning: Theory, Method and
  Application
A Comprehensive Survey of Continual Learning: Theory, Method and Application
Liyuan Wang
Xingxing Zhang
Hang Su
Jun Zhu
KELM
CLL
48
611
0
31 Jan 2023
Hierarchical Memory Pool Based Edge Semi-Supervised Continual Learning
  Method
Hierarchical Memory Pool Based Edge Semi-Supervised Continual Learning Method
Xiangwei Wang
Rui Han
Chi Harold Liu
CLL
19
0
0
17 Jan 2023
Self-Activating Neural Ensembles for Continual Reinforcement Learning
Self-Activating Neural Ensembles for Continual Reinforcement Learning
Sam Powers
Eliot Xing
Abhinav Gupta
KELM
CLL
30
5
0
31 Dec 2022
Bio-Inspired, Task-Free Continual Learning through Activity
  Regularization
Bio-Inspired, Task-Free Continual Learning through Activity Regularization
Francesco Lassig
Pau Vilimelis Aceituno
M. Sorbaro
Benjamin Grewe
CLL
30
8
0
08 Dec 2022
The Effectiveness of World Models for Continual Reinforcement Learning
The Effectiveness of World Models for Continual Reinforcement Learning
Samuel Kessler
M. Ostaszewski
Michal Bortkiewicz
M. Żarski
Maciej Wołczyk
Jack Parker-Holder
Stephen J. Roberts
Piotr Milo's
KELM
OffRL
CLL
35
7
0
29 Nov 2022
Neural Architecture for Online Ensemble Continual Learning
Neural Architecture for Online Ensemble Continual Learning
Mateusz Wójcik
Witold Ko'sciukiewicz
Tomasz Kajdanowicz
Adam Gonczarek
CLL
29
1
0
27 Nov 2022
CODA-Prompt: COntinual Decomposed Attention-based Prompting for
  Rehearsal-Free Continual Learning
CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning
James Smith
Leonid Karlinsky
V. Gutta
Paola Cascante-Bonilla
Donghyun Kim
Assaf Arbelle
Yikang Shen
Rogerio Feris
Z. Kira
CLL
VPVLM
VLM
43
262
0
23 Nov 2022
Building a Subspace of Policies for Scalable Continual Learning
Building a Subspace of Policies for Scalable Continual Learning
Jean-Baptiste Gaya
T. Doan
Lucas Caccia
Laure Soulier
Ludovic Denoyer
Roberta Raileanu
CLL
42
29
0
18 Nov 2022
Hierarchically Structured Task-Agnostic Continual Learning
Hierarchically Structured Task-Agnostic Continual Learning
Heinke Hihn
Daniel A. Braun
BDL
CLL
21
8
0
14 Nov 2022
Mitigating Forgetting in Online Continual Learning via Contrasting
  Semantically Distinct Augmentations
Mitigating Forgetting in Online Continual Learning via Contrasting Semantically Distinct Augmentations
Shenghao Yu
Wei-Chen Chiu
CLL
18
1
0
10 Nov 2022
Do Pre-trained Models Benefit Equally in Continual Learning?
Do Pre-trained Models Benefit Equally in Continual Learning?
Kuan-Ying Lee
Yuanyi Zhong
Yu-xiong Wang
CLL
32
28
0
27 Oct 2022
Task-Free Continual Learning via Online Discrepancy Distance Learning
Task-Free Continual Learning via Online Discrepancy Distance Learning
Fei Ye
A. Bors
CLL
24
28
0
12 Oct 2022
Toward Sustainable Continual Learning: Detection and Knowledge
  Repurposing of Similar Tasks
Toward Sustainable Continual Learning: Detection and Knowledge Repurposing of Similar Tasks
Sijia Wang
Yoojin Choi
Junya Chen
Mostafa El-Khamy
Ricardo Henao
CLL
27
0
0
11 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
22
3
0
08 Oct 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
CLL
SSL
36
15
0
24 Aug 2022
Open Long-Tailed Recognition in a Dynamic World
Open Long-Tailed Recognition in a Dynamic World
Ziwei Liu
Zhongqi Miao
Xiaohang Zhan
Jiayun Wang
Boqing Gong
Stella X. Yu
VLM
43
18
0
17 Aug 2022
Toward Transparent AI: A Survey on Interpreting the Inner Structures of
  Deep Neural Networks
Toward Transparent AI: A Survey on Interpreting the Inner Structures of Deep Neural Networks
Tilman Raukur
A. Ho
Stephen Casper
Dylan Hadfield-Menell
AAML
AI4CE
23
124
0
27 Jul 2022
Continual Variational Autoencoder Learning via Online Cooperative
  Memorization
Continual Variational Autoencoder Learning via Online Cooperative Memorization
Fei Ye
A. Bors
CLL
22
17
0
20 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
KELM
CLL
37
27
0
15 Jul 2022
Improving Task-free Continual Learning by Distributionally Robust Memory
  Evolution
Improving Task-free Continual Learning by Distributionally Robust Memory Evolution
Zhenyi Wang
Li Shen
Le Fang
Qiuling Suo
Tiehang Duan
Mingchen Gao
OOD
39
40
0
15 Jul 2022
Learning an evolved mixture model for task-free continual learning
Learning an evolved mixture model for task-free continual learning
Fei Ye
A. Bors
CLL
20
9
0
11 Jul 2022
Hebbian Continual Representation Learning
Hebbian Continual Representation Learning
P. Morawiecki
Andrii Krutsylo
Maciej Wołczyk
Marek Śmieja
CLL
24
2
0
28 Jun 2022
Towards Diverse Evaluation of Class Incremental Learning: A
  Representation Learning Perspective
Towards Diverse Evaluation of Class Incremental Learning: A Representation Learning Perspective
Sungmin Cha
Jihwan Kwak
Dongsub Shim
Hyunwoo J. Kim
Moontae Lee
Honglak Lee
Taesup Moon
CLL
28
1
0
16 Jun 2022
A Dirichlet Process Mixture of Robust Task Models for Scalable Lifelong
  Reinforcement Learning
A Dirichlet Process Mixture of Robust Task Models for Scalable Lifelong Reinforcement Learning
Zhi Wang
Chunlin Chen
D. Dong
BDL
CLL
4
16
0
22 May 2022
Incremental Learning with Differentiable Architecture and Forgetting
  Search
Incremental Learning with Differentiable Architecture and Forgetting Search
James Smith
Zachary Seymour
Han-Pang Chiu
OOD
CLL
AI4CE
42
4
0
19 May 2022
Bypassing Logits Bias in Online Class-Incremental Learning with a
  Generative Framework
Bypassing Logits Bias in Online Class-Incremental Learning with a Generative Framework
Gehui Shen
Shibo Jie
Ziheng Li
Zhi-Hong Deng
CLL
21
0
0
19 May 2022
Streaming Inference for Infinite Non-Stationary Clustering
Streaming Inference for Infinite Non-Stationary Clustering
Rylan Schaeffer
Gabrielle K. Liu
Yilun Du
Scott W. Linderman
Ila Rani Fiete
37
1
0
02 May 2022
Class-Incremental Learning by Knowledge Distillation with Adaptive
  Feature Consolidation
Class-Incremental Learning by Knowledge Distillation with Adaptive Feature Consolidation
Minsoo Kang
Jaeyoo Park
Bohyung Han
CLL
27
179
0
02 Apr 2022
A Closer Look at Rehearsal-Free Continual Learning
A Closer Look at Rehearsal-Free Continual Learning
James Smith
Junjiao Tian
Shaunak Halbe
Yen-Chang Hsu
Z. Kira
VLM
CLL
26
60
0
31 Mar 2022
Towards Exemplar-Free Continual Learning in Vision Transformers: an
  Account of Attention, Functional and Weight Regularization
Towards Exemplar-Free Continual Learning in Vision Transformers: an Account of Attention, Functional and Weight Regularization
Francesco Pelosin
Saurav Jha
A. Torsello
Bogdan Raducanu
Joost van de Weijer
CLL
23
29
0
24 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 Networks
Rebecca Adaimi
Edison Thomaz
CLL
29
13
0
11 Mar 2022
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
Continual Learning via Local Module Composition
Continual Learning via Local Module Composition
O. Ostapenko
Pau Rodríguez López
Massimo Caccia
Laurent Charlin
KELM
CLL
48
66
0
15 Nov 2021
Mixture-of-Variational-Experts for Continual Learning
Mixture-of-Variational-Experts for Continual Learning
Y. Yin
Yu Wang
CLL
FedML
23
6
0
25 Oct 2021
Online Continual Learning on Class Incremental Blurry Task Configuration
  with Anytime Inference
Online Continual Learning on Class Incremental Blurry Task Configuration with Anytime Inference
Hyun-woo Koh
Dahyun Kim
Jung-Woo Ha
Jonghyun Choi
CLL
33
65
0
19 Oct 2021
Continual Learning on Noisy Data Streams via Self-Purified Replay
Continual Learning on Noisy Data Streams via Self-Purified Replay
C. Kim
Jinseo Jeong
Sang-chul Moon
Gunhee Kim
CLL
40
39
0
14 Oct 2021
Hypernetworks for Continual Semi-Supervised Learning
Hypernetworks for Continual Semi-Supervised Learning
Dhanajit Brahma
Vinay Kumar Verma
Piyush Rai
BDL
CLL
30
12
0
05 Oct 2021
Towards a theory of out-of-distribution learning
Towards a theory of out-of-distribution learning
Jayanta Dey
Ali Geisa
Ronak D. Mehta
Tyler M. Tomita
Hayden S. Helm
Haoyin Xu
Eric Eaton
Jeffery Dick
Carey E. Priebe
Joshua T. Vogelstein
OOD
33
20
0
29 Sep 2021
Recent Advances of Continual Learning in Computer Vision: An Overview
Recent Advances of Continual Learning in Computer Vision: An Overview
Haoxuan Qu
Hossein Rahmani
Li Xu
Bryan M. Williams
Jun Liu
VLM
CLL
30
73
0
23 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
30
18
0
03 Sep 2021
Lifelong Infinite Mixture Model Based on Knowledge-Driven Dirichlet
  Process
Lifelong Infinite Mixture Model Based on Knowledge-Driven Dirichlet Process
Fei Ye
A. Bors
CLL
26
18
0
25 Aug 2021
Wanderlust: Online Continual Object Detection in the Real World
Wanderlust: Online Continual Object Detection in the Real World
Jianren Wang
Xin Wang
Shang-Guan Yue
Abhinav Gupta
22
57
0
25 Aug 2021
Unsupervised Image Generation with Infinite Generative Adversarial
  Networks
Unsupervised Image Generation with Infinite Generative Adversarial Networks
Hui Ying
He Wang
Tianjia Shao
Yin Yang
Kun Zhou
GAN
34
2
0
18 Aug 2021
Continual Neural Mapping: Learning An Implicit Scene Representation from
  Sequential Observations
Continual Neural Mapping: Learning An Implicit Scene Representation from Sequential Observations
Zike Yan
Yuxin Tian
Xuesong Shi
Ping Guo
Peng Wang
H. Zha
CLL
19
45
0
12 Aug 2021
Sequoia: A Software Framework to Unify Continual Learning Research
Sequoia: A Software Framework to Unify Continual Learning Research
Fabrice Normandin
Florian Golemo
O. Ostapenko
Pau Rodríguez López
Matthew D Riemer
...
Dominic Zhao
Timothée Lesort
Laurent Charlin
Irina Rish
Massimo Caccia
CLL
19
20
0
02 Aug 2021
Continual Novelty Detection
Continual Novelty Detection
Rahaf Aljundi
Daniel Olmeda Reino
N. Chumerin
Richard Turner
25
11
0
24 Jun 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
VLM
BDL
CLL
27
19
0
24 Jun 2021
Always Be Dreaming: A New Approach for Data-Free Class-Incremental
  Learning
Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning
James Smith
Yen-Chang Hsu
John C. Balloch
Yilin Shen
Hongxia Jin
Z. Kira
CLL
60
162
0
17 Jun 2021
Same State, Different Task: Continual Reinforcement Learning without
  Interference
Same State, Different Task: Continual Reinforcement Learning without Interference
Samuel Kessler
Jack Parker-Holder
Philip J. Ball
S. Zohren
Stephen J. Roberts
CLL
OffRL
19
46
0
05 Jun 2021
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