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Generative Models from the perspective of Continual Learning

Generative Models from the perspective of Continual Learning

21 December 2018
Timothée Lesort
Hugo Caselles-Dupré
Michael Garcia Ortiz
Andrei Stoian
David Filliat
    VLM
    DiffM
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Papers citing "Generative Models from the perspective of Continual Learning"

31 / 31 papers shown
Title
M2Distill: Multi-Modal Distillation for Lifelong Imitation Learning
M2Distill: Multi-Modal Distillation for Lifelong Imitation Learning
Kaushik Roy
Akila Dissanayake
Brendan Tidd
Peyman Moghadam
CLL
VLM
69
2
0
30 Sep 2024
Continual Pre-Training of Large Language Models: How to (re)warm your
  model?
Continual Pre-Training of Large Language Models: How to (re)warm your model?
Kshitij Gupta
Benjamin Thérien
Adam Ibrahim
Mats L. Richter
Quentin G. Anthony
Eugene Belilovsky
Irina Rish
Timothée Lesort
KELM
35
99
0
08 Aug 2023
Selective Amnesia: A Continual Learning Approach to Forgetting in Deep
  Generative Models
Selective Amnesia: A Continual Learning Approach to Forgetting in Deep Generative Models
Alvin Heng
Harold Soh
VLM
KELM
DiffM
40
107
0
17 May 2023
Exploring Continual Learning of Diffusion Models
Exploring Continual Learning of Diffusion Models
Michal Zajac
Kamil Deja
Anna Kuzina
Jakub M. Tomczak
Tomasz Trzciñski
Florian Shkurti
Piotr Milo's
DiffM
35
11
0
27 Mar 2023
PIVOT: Prompting for Video Continual Learning
PIVOT: Prompting for Video Continual Learning
Andrés Villa
Juan Carlos León Alcázar
Motasem Alfarra
Kumail Alhamoud
J. Hurtado
Fabian Caba Heilbron
Alvaro Soto
Guohao Li
VLM
CLL
40
45
0
09 Dec 2022
Review Learning: Alleviating Catastrophic Forgetting with Generative
  Replay without Generator
Review Learning: Alleviating Catastrophic Forgetting with Generative Replay without Generator
Jaesung Yoo
Sung-Hyuk Choi
Yewon Yang
Suhyeon Kim
J. Choi
...
H. J. Joo
Dae-Jung Kim
R. Park
Hyeong-Jin Yoon
Kwangsoo Kim
KELM
OffRL
40
0
0
17 Oct 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
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
PaRT: Parallel Learning Towards Robust and Transparent AI
PaRT: Parallel Learning Towards Robust and Transparent AI
Mahsa Paknezhad
Hamsawardhini Rengarajan
Chenghao Yuan
Sujanya Suresh
Manas Gupta
Savitha Ramasamy
Hwee Kuan Lee
OOD
38
1
0
24 Jan 2022
DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion
DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion
Arthur Douillard
Alexandre Ramé
Guillaume Couairon
Matthieu Cord
CLL
30
295
0
22 Nov 2021
Lifelong Vehicle Trajectory Prediction Framework Based on Generative
  Replay
Lifelong Vehicle Trajectory Prediction Framework Based on Generative Replay
Peng Bao
Zonghai Chen
Ji-kai Wang
Deyun Dai
Hao Zhao
33
9
0
15 Nov 2021
CLEVA-Compass: A Continual Learning EValuation Assessment Compass to
  Promote Research Transparency and Comparability
CLEVA-Compass: A Continual Learning EValuation Assessment Compass to Promote Research Transparency and Comparability
Martin Mundt
Steven Braun
Quentin Delfosse
Kristian Kersting
27
35
0
07 Oct 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
25
73
0
23 Sep 2021
Memory-Free Generative Replay For Class-Incremental Learning
Memory-Free Generative Replay For Class-Incremental Learning
Xiaomeng Xin
Yiran Zhong
Yunzhong Hou
Jinjun Wang
Liang Zheng
24
8
0
01 Sep 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
Class-Incremental Learning with Generative Classifiers
Class-Incremental Learning with Generative Classifiers
Gido M. van de Ven
Zhe Li
A. Tolias
BDL
50
58
0
20 Apr 2021
Overcoming Catastrophic Forgetting with Gaussian Mixture Replay
Overcoming Catastrophic Forgetting with Gaussian Mixture Replay
Benedikt Pfülb
A. Gepperth
VLM
BDL
24
12
0
19 Apr 2021
Understanding Continual Learning Settings with Data Distribution Drift
  Analysis
Understanding Continual Learning Settings with Data Distribution Drift Analysis
Timothée Lesort
Massimo Caccia
Irina Rish
25
55
0
04 Apr 2021
Replay in Deep Learning: Current Approaches and Missing Biological
  Elements
Replay in Deep Learning: Current Approaches and Missing Biological Elements
Tyler L. Hayes
G. Krishnan
M. Bazhenov
H. Siegelmann
T. Sejnowski
Christopher Kanan
CLL
38
130
0
01 Apr 2021
iMAP: Implicit Mapping and Positioning in Real-Time
iMAP: Implicit Mapping and Positioning in Real-Time
Edgar Sucar
Shikun Liu
Joseph Ortiz
Andrew J. Davison
3DH
73
594
0
23 Mar 2021
Curriculum-Meta Learning for Order-Robust Continual Relation Extraction
Curriculum-Meta Learning for Order-Robust Continual Relation Extraction
Tongtong Wu
Xuekai Li
Yuan-Fang Li
Reza Haffari
Guilin Qi
Yujin Zhu
Guoqiang Xu
CLL
35
67
0
06 Jan 2021
BinPlay: A Binary Latent Autoencoder for Generative Replay Continual
  Learning
BinPlay: A Binary Latent Autoencoder for Generative Replay Continual Learning
Kamil Deja
Pawel Wawrzyñski
Daniel Marczak
Wojciech Masarczyk
Tomasz Trzciñski
SyDa
16
9
0
25 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
27
42
0
24 Nov 2020
Imbalanced Continual Learning with Partitioning Reservoir Sampling
Imbalanced Continual Learning with Partitioning Reservoir Sampling
C. Kim
Jinseo Jeong
Gunhee Kim
CLL
27
101
0
08 Sep 2020
A Wholistic View of Continual Learning with Deep Neural Networks:
  Forgotten Lessons and the Bridge to Active and Open World Learning
A Wholistic View of Continual Learning with Deep Neural Networks: Forgotten Lessons and the Bridge to Active and Open World Learning
Martin Mundt
Yongjun Hong
Iuliia Pliushch
Visvanathan Ramesh
CLL
30
146
0
03 Sep 2020
Automatic Recall Machines: Internal Replay, Continual Learning and the
  Brain
Automatic Recall Machines: Internal Replay, Continual Learning and the Brain
Xu Ji
Joao Henriques
Tinne Tuytelaars
Andrea Vedaldi
KELM
25
10
0
22 Jun 2020
GAN Memory with No Forgetting
GAN Memory with No Forgetting
Yulai Cong
Miaoyun Zhao
Jianqiao Li
Sijia Wang
Lawrence Carin
CLL
13
116
0
13 Jun 2020
Self-Supervised Learning Aided Class-Incremental Lifelong Learning
Self-Supervised Learning Aided Class-Incremental Lifelong Learning
Song Zhang
Gehui Shen
Jinsong Huang
Zhihong Deng
CLL
33
14
0
10 Jun 2020
BooVAE: Boosting Approach for Continual Learning of VAE
BooVAE: Boosting Approach for Continual Learning of VAE
Anna Kuzina
Evgenii Egorov
Evgeny Burnaev
CLL
11
24
0
30 Aug 2019
DisCoRL: Continual Reinforcement Learning via Policy Distillation
DisCoRL: Continual Reinforcement Learning via Policy Distillation
Kalifou René Traoré
Hugo Caselles-Dupré
Timothée Lesort
Te Sun
Guanghang Cai
Natalia Díaz Rodríguez
David Filliat
OffRL
32
60
0
11 Jul 2019
Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild
Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild
Kibok Lee
Kimin Lee
Jinwoo Shin
Honglak Lee
CLL
43
201
0
29 Mar 2019
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