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Reinforced Continual Learning

Reinforced Continual Learning

31 May 2018
Ju Xu
Zhanxing Zhu
    CLL
ArXivPDFHTML

Papers citing "Reinforced Continual Learning"

50 / 208 papers shown
Title
A Theoretical Study on Solving Continual Learning
A Theoretical Study on Solving Continual Learning
Gyuhak Kim
Changnan Xiao
Tatsuya Konishi
Zixuan Ke
Bin Liu
CLL
27
71
0
04 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
34
28
0
27 Oct 2022
Variational Model Perturbation for Source-Free Domain Adaptation
Variational Model Perturbation for Source-Free Domain Adaptation
Mengmeng Jing
Xiantong Zhen
Jingjing Li
Cees G. M. Snoek
39
25
0
19 Oct 2022
You Only Live Once: Single-Life Reinforcement Learning
You Only Live Once: Single-Life Reinforcement Learning
Annie S. Chen
Archit Sharma
Sergey Levine
Chelsea Finn
OffRL
21
20
0
17 Oct 2022
Grow and Merge: A Unified Framework for Continuous Categories Discovery
Grow and Merge: A Unified Framework for Continuous Categories Discovery
Xinwei Zhang
Jianwen Jiang
Yutong Feng
Zhi-Fan Wu
Xibin Zhao
Hai Wan
Mingqian Tang
Rong Jin
Yue Gao
CLL
43
29
0
09 Oct 2022
Topological Continual Learning with Wasserstein Distance and Barycenter
Topological Continual Learning with Wasserstein Distance and Barycenter
Tananun Songdechakraiwut
Xiaoshuang Yin
B. V. Veen
CLL
21
0
0
06 Oct 2022
Efficient Meta-Learning for Continual Learning with Taylor Expansion
  Approximation
Efficient Meta-Learning for Continual Learning with Taylor Expansion Approximation
Xiaohan Zou
Tong Lin
CLL
33
2
0
03 Oct 2022
Learn the Time to Learn: Replay Scheduling in Continual Learning
Learn the Time to Learn: Replay Scheduling in Continual Learning
Marcus Klasson
Hedvig Kjellström
Chen Zhang
CLL
37
9
0
18 Sep 2022
On the Soft-Subnetwork for Few-shot Class Incremental Learning
On the Soft-Subnetwork for Few-shot Class Incremental Learning
Haeyong Kang
Jaehong Yoon
Sultan Rizky Hikmawan Madjid
Sung Ju Hwang
Chang D. Yoo
CLL
52
41
0
15 Sep 2022
Reinforced Continual Learning for Graphs
Reinforced Continual Learning for Graphs
Appan Rakaraddi
Siew-Kei Lam
Mahardhika Pratama
Marcus Vinícius de Carvalho
CLL
27
24
0
04 Sep 2022
Beyond Supervised Continual Learning: a Review
Beyond Supervised Continual Learning: a Review
Benedikt Bagus
A. Gepperth
Timothée Lesort
BDL
CLL
35
10
0
30 Aug 2022
Continual Machine Reading Comprehension via Uncertainty-aware Fixed
  Memory and Adversarial Domain Adaptation
Continual Machine Reading Comprehension via Uncertainty-aware Fixed Memory and Adversarial Domain Adaptation
Zhijing Wu
Hua Xu
Jingliang Fang
Kai Gao
CLL
28
1
0
10 Aug 2022
AdaptCL: Adaptive Continual Learning for Tackling Heterogeneity in
  Sequential Datasets
AdaptCL: Adaptive Continual Learning for Tackling Heterogeneity in Sequential Datasets
Yuqing Zhao
Divya Saxena
Jiannong Cao
CLL
33
12
0
22 Jul 2022
E2-AEN: End-to-End Incremental Learning with Adaptively Expandable
  Network
E2-AEN: End-to-End Incremental Learning with Adaptively Expandable Network
Guimei Cao
Zhanzhan Cheng
Yunlu Xu
Duo Li
Shiliang Pu
Yi Niu
Fei Wu
CLL
30
2
0
14 Jul 2022
Reactive Exploration to Cope with Non-Stationarity in Lifelong
  Reinforcement Learning
Reactive Exploration to Cope with Non-Stationarity in Lifelong Reinforcement Learning
C. Steinparz
Thomas Schmied
Fabian Paischer
Marius-Constantin Dinu
Vihang Patil
Angela Bitto-Nemling
Hamid Eghbalzadeh
Sepp Hochreiter
CLL
29
11
0
12 Jul 2022
A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental
  Learning
A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning
Da-Wei Zhou
Qiwen Wang
Han-Jia Ye
De-Chuan Zhan
33
124
0
26 May 2022
An Efficient Domain-Incremental Learning Approach to Drive in All
  Weather Conditions
An Efficient Domain-Incremental Learning Approach to Drive in All Weather Conditions
M. Jehanzeb Mirza
Marc Masana
Horst Possegger
Horst Bischof
CLL
14
74
0
19 Apr 2022
CFA: Constraint-based Finetuning Approach for Generalized Few-Shot
  Object Detection
CFA: Constraint-based Finetuning Approach for Generalized Few-Shot Object Detection
Karim Guirguis
Ahmed Hendawy
George Eskandar
Mohamed Abdelsamad
Matthias Kayser
Jürgen Beyerer
27
15
0
11 Apr 2022
Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks
Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks
Da-Wei Zhou
Han-Jia Ye
Liang Ma
Di Xie
Shiliang Pu
De-Chuan Zhan
CLL
21
119
0
31 Mar 2022
Continual Normalization: Rethinking Batch Normalization for Online
  Continual Learning
Continual Normalization: Rethinking Batch Normalization for Online Continual Learning
Quang Pham
Chenghao Liu
Guosheng Lin
BDL
OnRL
38
57
0
30 Mar 2022
Addressing Client Drift in Federated Continual Learning with Adaptive
  Optimization
Addressing Client Drift in Federated Continual Learning with Adaptive Optimization
Yeshwanth Venkatesha
Youngeun Kim
Hyoungseob Park
Yuhang Li
Priyadarshini Panda
FedML
13
8
0
24 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
Continual Learning Based on OOD Detection and Task Masking
Continual Learning Based on OOD Detection and Task Masking
Gyuhak Kim
Sepideh Esmaeilpour
Changnan Xiao
Bing-Quan Liu
OODD
CLL
24
17
0
17 Mar 2022
Privacy-preserving Online AutoML for Domain-Specific Face Detection
Privacy-preserving Online AutoML for Domain-Specific Face Detection
Chenqian Yan
Yuge Zhang
Quanlu Zhang
Yaming Yang
Xinyang Jiang
Yuqing Yang
Baoyuan Wang
CVBM
33
6
0
16 Mar 2022
Learning Incrementally to Segment Multiple Organs in a CT Image
Learning Incrementally to Segment Multiple Organs in a CT Image
Peng Liu
Xia Wang
Mengsi Fan
Hongli Pan
Minmin Yin
...
Xiaoying Zhao
Li Xiao
Liangjing Ding
Xingwang Wu
S. Kevin Zhou
CLL
20
22
0
04 Mar 2022
Learning Bayesian Sparse Networks with Full Experience Replay for
  Continual Learning
Learning Bayesian Sparse Networks with Full Experience Replay for Continual Learning
Dong Gong
Qingsen Yan
Yuhang Liu
Anton Van Den Hengel
Javen Qinfeng Shi
CLL
BDL
35
37
0
21 Feb 2022
TRGP: Trust Region Gradient Projection for Continual Learning
TRGP: Trust Region Gradient Projection for Continual Learning
Sen Lin
Li Yang
Deliang Fan
Junshan Zhang
CLL
83
74
0
07 Feb 2022
Architecture Matters in Continual Learning
Architecture Matters in Continual Learning
Seyed Iman Mirzadeh
Arslan Chaudhry
Dong Yin
Timothy Nguyen
Razvan Pascanu
Dilan Görür
Mehrdad Farajtabar
OOD
KELM
120
59
0
01 Feb 2022
Progressive Continual Learning for Spoken Keyword Spotting
Progressive Continual Learning for Spoken Keyword Spotting
Yizheng Huang
Nana Hou
Nancy F. Chen
CLL
29
15
0
29 Jan 2022
Logarithmic Continual Learning
Logarithmic Continual Learning
Wojciech Masarczyk
Pawel Wawrzyñski
Daniel Marczak
Kamil Deja
Tomasz Trzciñski
24
4
0
17 Jan 2022
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
FFNB: Forgetting-Free Neural Blocks for Deep Continual Visual Learning
FFNB: Forgetting-Free Neural Blocks for Deep Continual Visual Learning
H. Sahbi
Haoming Zhan
AI4CE
33
1
0
22 Nov 2021
Provable Lifelong Learning of Representations
Provable Lifelong Learning of Representations
Xinyuan Cao
Weiyang Liu
Santosh Vempala
CLL
25
13
0
27 Oct 2021
Wide Neural Networks Forget Less Catastrophically
Wide Neural Networks Forget Less Catastrophically
Seyed Iman Mirzadeh
Arslan Chaudhry
Dong Yin
Huiyi Hu
Razvan Pascanu
Dilan Görür
Mehrdad Farajtabar
CLL
33
60
0
21 Oct 2021
Block Contextual MDPs for Continual Learning
Block Contextual MDPs for Continual Learning
Shagun Sodhani
Franziska Meier
Joelle Pineau
Amy Zhang
CLL
41
26
0
13 Oct 2021
Flattening Sharpness for Dynamic Gradient Projection Memory Benefits
  Continual Learning
Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning
Danruo Deng
Guangyong Chen
Jianye Hao
Qiong Wang
Pheng-Ann Heng
CLL
AAML
24
77
0
09 Oct 2021
Towards Lifelong Learning of Multilingual Text-To-Speech Synthesis
Towards Lifelong Learning of Multilingual Text-To-Speech Synthesis
Mu Yang
Shaojin Ding
Tianlong Chen
Tong Wang
Zhangyang Wang
CLL
30
5
0
09 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
30
73
0
23 Sep 2021
On robustness of generative representations against catastrophic
  forgetting
On robustness of generative representations against catastrophic forgetting
Wojciech Masarczyk
Kamil Deja
Tomasz Trzciñski
14
3
0
04 Sep 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
Co-Transport for Class-Incremental Learning
Co-Transport for Class-Incremental Learning
Da-Wei Zhou
Han-Jia Ye
De-Chuan Zhan
CLL
44
73
0
27 Jul 2021
AlterSGD: Finding Flat Minima for Continual Learning by Alternative
  Training
AlterSGD: Finding Flat Minima for Continual Learning by Alternative Training
Zhongzhan Huang
Ming Liang
Senwei Liang
Wei He
CLL
ODL
42
6
0
13 Jul 2021
AdaXpert: Adapting Neural Architecture for Growing Data
AdaXpert: Adapting Neural Architecture for Growing Data
Shuaicheng Niu
Jiaxiang Wu
Guanghui Xu
Yifan Zhang
Yong Guo
P. Zhao
Peng Wang
Mingkui Tan
30
14
0
01 Jul 2021
Learngene: From Open-World to Your Learning Task
Learngene: From Open-World to Your Learning Task
Qiufeng Wang
Xin Geng
Shuxia Lin
Shiyu Xia
Lei Qi
Ning Xu
38
20
0
12 Jun 2021
Model Zoo: A Growing "Brain" That Learns Continually
Model Zoo: A Growing "Brain" That Learns Continually
Rahul Ramesh
Pratik Chaudhari
CLL
FedML
24
61
0
06 Jun 2021
Online Coreset Selection for Rehearsal-based Continual Learning
Online Coreset Selection for Rehearsal-based Continual Learning
Jaehong Yoon
Divyam Madaan
Eunho Yang
Sung Ju Hwang
CLL
25
139
0
02 Jun 2021
Smaller Is Better: An Analysis of Instance Quantity/Quality Trade-off in
  Rehearsal-based Continual Learning
Smaller Is Better: An Analysis of Instance Quantity/Quality Trade-off in Rehearsal-based Continual Learning
Francesco Pelosin
A. Torsello
25
1
0
28 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
43
5
0
11 May 2021
A Deep Learning Framework for Lifelong Machine Learning
A Deep Learning Framework for Lifelong Machine Learning
Charles X. Ling
Tanner A. Bohn
CLL
30
5
0
01 May 2021
Rectification-based Knowledge Retention for Continual Learning
Rectification-based Knowledge Retention for Continual Learning
Pravendra Singh
Pratik Mazumder
Piyush Rai
Vinay P. Namboodiri
CLL
27
41
0
30 Mar 2021
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