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Lifelong Learning with Dynamically Expandable Networks

Lifelong Learning with Dynamically Expandable Networks

4 August 2017
Jaehong Yoon
Eunho Yang
Jeongtae Lee
Sung Ju Hwang
    CLL
ArXivPDFHTML

Papers citing "Lifelong Learning with Dynamically Expandable Networks"

50 / 262 papers shown
Title
Imbalanced Continual Learning with Partitioning Reservoir Sampling
Imbalanced Continual Learning with Partitioning Reservoir Sampling
C. Kim
Jinseo Jeong
Gunhee Kim
CLL
32
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
Learning Adaptive Embedding Considering Incremental Class
Learning Adaptive Embedding Considering Incremental Class
Yang Yang
Zhensheng Sun
HengShu Zhu
Yanjie Fu
Hui Xiong
Jian Yang
CLL
24
40
0
31 Aug 2020
Meta Continual Learning via Dynamic Programming
Meta Continual Learning via Dynamic Programming
R. Krishnan
Prasanna Balaprakash
CLL
22
10
0
05 Aug 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
SyDa
CLL
12
65
0
20 Jul 2020
Batch-level Experience Replay with Review for Continual Learning
Batch-level Experience Replay with Review for Continual Learning
Zheda Mai
Hyunwoo J. Kim
Jihwan Jeong
Scott Sanner
VLM
CLL
21
15
0
11 Jul 2020
Graph-Based Continual Learning
Graph-Based Continual Learning
Binh Tang
David S. Matteson
BDL
CLL
34
37
0
09 Jul 2020
Continual BERT: Continual Learning for Adaptive Extractive Summarization
  of COVID-19 Literature
Continual BERT: Continual Learning for Adaptive Extractive Summarization of COVID-19 Literature
Jongjin Park
CLL
33
15
0
07 Jul 2020
Supermasks in Superposition
Supermasks in Superposition
Mitchell Wortsman
Vivek Ramanujan
Rosanne Liu
Aniruddha Kembhavi
Mohammad Rastegari
J. Yosinski
Ali Farhadi
SSL
CLL
33
281
0
26 Jun 2020
Generalisation Guarantees for Continual Learning with Orthogonal
  Gradient Descent
Generalisation Guarantees for Continual Learning with Orthogonal Gradient Descent
Mehdi Abbana Bennani
Thang Doan
Masashi Sugiyama
CLL
50
61
0
21 Jun 2020
Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of
  Gaussian Processes
Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes
Mengdi Xu
Wenhao Ding
Jiacheng Zhu
Zuxin Liu
Baiming Chen
Ding Zhao
CLL
OffRL
30
34
0
19 Jun 2020
Understanding the Role of Training Regimes in Continual Learning
Understanding the Role of Training Regimes in Continual Learning
Seyed Iman Mirzadeh
Mehrdad Farajtabar
Razvan Pascanu
H. Ghasemzadeh
CLL
21
219
0
12 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
Efficient Architecture Search for Continual Learning
Efficient Architecture Search for Continual Learning
Qiang Gao
Zhipeng Luo
Diego Klabjan
CLL
48
48
0
07 Jun 2020
PODNet: Pooled Outputs Distillation for Small-Tasks Incremental Learning
PODNet: Pooled Outputs Distillation for Small-Tasks Incremental Learning
Arthur Douillard
Matthieu Cord
Charles Ollion
Thomas Robert
Eduardo Valle
CLL
17
6
0
28 Apr 2020
Few-Shot Class-Incremental Learning
Few-Shot Class-Incremental Learning
Xiaoyu Tao
Xiaopeng Hong
Xinyuan Chang
Songlin Dong
Xing Wei
Yihong Gong
CLL
39
403
0
23 Apr 2020
SS-IL: Separated Softmax for Incremental Learning
SS-IL: Separated Softmax for Incremental Learning
Hongjoon Ahn
Jihwan Kwak
S. Lim
Hyeonsu Bang
Hyojun Kim
Taesup Moon
CLL
22
176
0
31 Mar 2020
Adversarial Continual Learning
Adversarial Continual Learning
Sayna Ebrahimi
Franziska Meier
Roberto Calandra
Trevor Darrell
Marcus Rohrbach
CLL
VLM
154
199
0
21 Mar 2020
Lifelong Learning with Searchable Extension Units
Lifelong Learning with Searchable Extension Units
Wenjin Wang
Yunqing Hu
Yin Zhang
KELM
CLL
13
3
0
19 Mar 2020
Federated Continual Learning with Weighted Inter-client Transfer
Federated Continual Learning with Weighted Inter-client Transfer
Jaehong Yoon
Wonyoung Jeong
Giwoong Lee
Eunho Yang
Sung Ju Hwang
FedML
40
200
0
06 Mar 2020
Using Hindsight to Anchor Past Knowledge in Continual Learning
Using Hindsight to Anchor Past Knowledge in Continual Learning
Arslan Chaudhry
Albert Gordo
P. Dokania
Philip Torr
David Lopez-Paz
KELM
CLL
34
234
0
19 Feb 2020
BatchEnsemble: An Alternative Approach to Efficient Ensemble and
  Lifelong Learning
BatchEnsemble: An Alternative Approach to Efficient Ensemble and Lifelong Learning
Yeming Wen
Dustin Tran
Jimmy Ba
OOD
FedML
UQCV
32
483
0
17 Feb 2020
Frosting Weights for Better Continual Training
Frosting Weights for Better Continual Training
Xiaofeng Zhu
Feng Liu
Goce Trajcevski
Dingding Wang
FedML
AI4CE
CLL
28
5
0
07 Jan 2020
A Neural Dirichlet Process Mixture Model for Task-Free Continual
  Learning
A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning
Soochan Lee
Junsoo Ha
Dongsu Zhang
Gunhee Kim
BDL
CLL
25
210
0
03 Jan 2020
AdaFilter: Adaptive Filter Fine-tuning for Deep Transfer Learning
AdaFilter: Adaptive Filter Fine-tuning for Deep Transfer Learning
Yunhui Guo
Yandong Li
Liqiang Wang
Tajana Simunic
40
41
0
21 Nov 2019
OpenLORIS-Object: A Robotic Vision Dataset and Benchmark for Lifelong
  Deep Learning
OpenLORIS-Object: A Robotic Vision Dataset and Benchmark for Lifelong Deep Learning
Qi She
Fan Feng
Xinyue Hao
Qihan Yang
Chuanlin Lan
...
Zhengwei Wang
Yao Guo
Yimin Zhang
Fei Qiao
Rosa H. M. Chan
VLM
38
75
0
15 Nov 2019
Continual Learning Using Bayesian Neural Networks
Continual Learning Using Bayesian Neural Networks
Honglin Li
Payam Barnaghi
Shirin Enshaeifar
F. Ganz
BDL
19
38
0
09 Oct 2019
DEVDAN: Deep Evolving Denoising Autoencoder
DEVDAN: Deep Evolving Denoising Autoencoder
Andri Ashfahani
Mahardhika Pratama
E. Lughofer
Yew-Soon Ong
36
98
0
08 Oct 2019
Automatic Construction of Multi-layer Perceptron Network from Streaming
  Examples
Automatic Construction of Multi-layer Perceptron Network from Streaming Examples
Mahardhika Pratama
Choiru Za’in
Andri Ashfahani
Yew-Soon Ong
Weiping Ding
AI4CE
19
52
0
08 Oct 2019
REMIND Your Neural Network to Prevent Catastrophic Forgetting
REMIND Your Neural Network to Prevent Catastrophic Forgetting
Tyler L. Hayes
Kushal Kafle
Robik Shrestha
Manoj Acharya
Christopher Kanan
CLL
31
295
0
06 Oct 2019
Neural Architecture Search for Class-incremental Learning
Neural Architecture Search for Class-incremental Learning
Shenyang Huang
Vincent François-Lavet
Guillaume Rabusseau
CLL
31
16
0
14 Sep 2019
Feature Partitioning for Efficient Multi-Task Architectures
Feature Partitioning for Efficient Multi-Task Architectures
Alejandro Newell
Lu Jiang
Chong-Jun Wang
Li Li
Jia Deng
42
17
0
12 Aug 2019
Continual Learning by Asymmetric Loss Approximation with Single-Side
  Overestimation
Continual Learning by Asymmetric Loss Approximation with Single-Side Overestimation
Dongmin Park
Seokil Hong
Bohyung Han
Kyoung Mu Lee
AAML
CLL
24
39
0
08 Aug 2019
Overcoming Catastrophic Forgetting by Neuron-level Plasticity Control
Overcoming Catastrophic Forgetting by Neuron-level Plasticity Control
Inyoung Paik
Sangjun Oh
Taeyeong Kwak
Injung Kim
CLL
37
49
0
31 Jul 2019
Continual Learning for Robotics: Definition, Framework, Learning
  Strategies, Opportunities and Challenges
Continual Learning for Robotics: Definition, Framework, Learning Strategies, Opportunities and Challenges
Timothée Lesort
Vincenzo Lomonaco
Andrei Stoian
Davide Maltoni
David Filliat
Natalia Díaz Rodríguez
CLL
24
248
0
29 Jun 2019
Uncertainty-guided Continual Learning with Bayesian Neural Networks
Uncertainty-guided Continual Learning with Bayesian Neural Networks
Sayna Ebrahimi
Mohamed Elhoseiny
Trevor Darrell
Marcus Rohrbach
CLL
BDL
23
195
0
06 Jun 2019
Uncertainty-based Continual Learning with Adaptive Regularization
Uncertainty-based Continual Learning with Adaptive Regularization
Hongjoon Ahn
Sungmin Cha
Donggyu Lee
Taesup Moon
BDL
24
209
0
28 May 2019
Hierarchically Structured Meta-learning
Hierarchically Structured Meta-learning
Huaxiu Yao
Ying Wei
Junzhou Huang
Z. Li
30
203
0
13 May 2019
A Multi-Task Learning Framework for Overcoming the Catastrophic
  Forgetting in Automatic Speech Recognition
A Multi-Task Learning Framework for Overcoming the Catastrophic Forgetting in Automatic Speech Recognition
Jiabin Xue
Jiqing Han
Tieran Zheng
Xiang Gao
Jiaxing Guo
CLL
27
9
0
17 Apr 2019
Learning to Remember: A Synaptic Plasticity Driven Framework for
  Continual Learning
Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning
O. Ostapenko
M. Puscas
T. Klein
P. Jähnichen
Moin Nabi
CLL
60
298
0
05 Apr 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
Class-incremental Learning via Deep Model Consolidation
Class-incremental Learning via Deep Model Consolidation
Junting Zhang
Jie Zhang
Shalini Ghosh
Dawei Li
Serafettin Tasci
Larry Heck
Heming Zhang
C.-C. Jay Kuo
CLL
27
335
0
19 Mar 2019
Continual Learning via Neural Pruning
Continual Learning via Neural Pruning
Siavash Golkar
Michael Kagan
Kyunghyun Cho
CLL
21
159
0
11 Mar 2019
On Tiny Episodic Memories in Continual Learning
On Tiny Episodic Memories in Continual Learning
Arslan Chaudhry
Marcus Rohrbach
Mohamed Elhoseiny
Thalaiyasingam Ajanthan
P. Dokania
Philip Torr
MarcÁurelio Ranzato
CLL
52
393
0
27 Feb 2019
Scalable and Order-robust Continual Learning with Additive Parameter
  Decomposition
Scalable and Order-robust Continual Learning with Additive Parameter Decomposition
Jaehong Yoon
Saehoon Kim
Eunho Yang
Sung Ju Hwang
CLL
37
176
0
25 Feb 2019
Neural-encoding Human Experts' Domain Knowledge to Warm Start
  Reinforcement Learning
Neural-encoding Human Experts' Domain Knowledge to Warm Start Reinforcement Learning
Andrew Silva
Matthew C. Gombolay
OffRL
27
20
0
15 Feb 2019
Adaptive Posterior Learning: few-shot learning with a surprise-based
  memory module
Adaptive Posterior Learning: few-shot learning with a surprise-based memory module
Tiago Ramalho
M. Garnelo
BDL
33
77
0
07 Feb 2019
Using Machine Learning for Handover Optimization in Vehicular Fog
  Computing
Using Machine Learning for Handover Optimization in Vehicular Fog Computing
Salman Memon
Muthucumaru Maheswaran
29
37
0
18 Dec 2018
Task-Free Continual Learning
Task-Free Continual Learning
Rahaf Aljundi
Klaas Kelchtermans
Tinne Tuytelaars
CLL
41
354
0
10 Dec 2018
Incremental Learning for Semantic Segmentation of Large-Scale Remote
  Sensing Data
Incremental Learning for Semantic Segmentation of Large-Scale Remote Sensing Data
O. Tasar
Y. Tarabalka
Pierre Alliez
CLL
14
127
0
29 Oct 2018
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