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Expert Gate: Lifelong Learning with a Network of Experts

Expert Gate: Lifelong Learning with a Network of Experts

18 November 2016
Rahaf Aljundi
Punarjay Chakravarty
Tinne Tuytelaars
    CLL
ArXivPDFHTML

Papers citing "Expert Gate: Lifelong Learning with a Network of Experts"

50 / 124 papers shown
Title
Multi-Label Continual Learning using Augmented Graph Convolutional
  Network
Multi-Label Continual Learning using Augmented Graph Convolutional Network
Kaile Du
Fan Lyu
Linyan Li
Fuyuan Hu
Wei Feng
Fenglei Xu
Xuefeng Xi
Hanjing Cheng
CLL
33
13
0
27 Nov 2022
BeGin: Extensive Benchmark Scenarios and An Easy-to-use Framework for
  Graph Continual Learning
BeGin: Extensive Benchmark Scenarios and An Easy-to-use Framework for Graph Continual Learning
Jihoon Ko
Shinhwan Kang
Taehyung Kwon
Heechan Moon
Kijung Shin
CLL
41
7
0
26 Nov 2022
Continual Learning of Natural Language Processing Tasks: A Survey
Continual Learning of Natural Language Processing Tasks: A Survey
Zixuan Ke
Bin Liu
KELM
CLL
VLM
32
69
0
23 Nov 2022
Unveiling the Tapestry: the Interplay of Generalization and Forgetting
  in Continual Learning
Unveiling the Tapestry: the Interplay of Generalization and Forgetting in Continual Learning
Zenglin Shi
Jing Jie
Ying Sun
J. Lim
Mengmi Zhang
CLL
42
1
0
21 Nov 2022
ConStruct-VL: Data-Free Continual Structured VL Concepts Learning
ConStruct-VL: Data-Free Continual Structured VL Concepts Learning
James Smith
Paola Cascante-Bonilla
Assaf Arbelle
Donghyun Kim
Yikang Shen
David D. Cox
Diyi Yang
Z. Kira
Rogerio Feris
Leonid Karlinsky
VLM
47
20
0
17 Nov 2022
NEVIS'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision
  Research
NEVIS'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research
J. Bornschein
Alexandre Galashov
Ross Hemsley
Amal Rannen-Triki
Yutian Chen
...
Angeliki Lazaridou
Yee Whye Teh
Andrei A. Rusu
Razvan Pascanu
MarcÁurelio Ranzato
OOD
VLM
AI4TS
41
17
0
15 Nov 2022
Mining Unseen Classes via Regional Objectness: A Simple Baseline for
  Incremental Segmentation
Mining Unseen Classes via Regional Objectness: A Simple Baseline for Incremental Segmentation
Zekang Zhang
Guangyu Gao
Zhiyuan Fang
Jianbo Jiao
Yunchao Wei
CLL
26
31
0
13 Nov 2022
Cold Start Streaming Learning for Deep Networks
Cold Start Streaming Learning for Deep Networks
Cameron R. Wolfe
Anastasios Kyrillidis
CLL
23
2
0
09 Nov 2022
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
LegoNet: A Fast and Exact Unlearning Architecture
LegoNet: A Fast and Exact Unlearning Architecture
Sihao Yu
Fei Sun
J. Guo
Ruqing Zhang
Xueqi Cheng
MU
42
8
0
28 Oct 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
Improving Replay-Based Continual Semantic Segmentation with Smart Data
  Selection
Improving Replay-Based Continual Semantic Segmentation with Smart Data Selection
Tobias Kalb
Björn Mauthe
Jürgen Beyerer
CLL
32
10
0
20 Sep 2022
Incremental Task Learning with Incremental Rank Updates
Incremental Task Learning with Incremental Rank Updates
Rakib Hyder
Ken Shao
Boyu Hou
P. Markopoulos
Ashley Prater-Bennette
Ulugbek S. Kamilov
CLL
16
13
0
19 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
34
27
0
15 Jul 2022
Domain adaptation strategies for cancer-independent detection of lymph
  node metastases
Domain adaptation strategies for cancer-independent detection of lymph node metastases
Péter Bándi
M. Balkenhol
M. V. Dijk
Bram van Ginneken
Jeroen van der Laak
G. Litjens
OOD
18
1
0
13 Jul 2022
Queried Unlabeled Data Improves and Robustifies Class-Incremental
  Learning
Queried Unlabeled Data Improves and Robustifies Class-Incremental Learning
Tianlong Chen
Sijia Liu
Shiyu Chang
Lisa Amini
Zhangyang Wang
CLL
26
4
0
15 Jun 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
29
123
0
26 May 2022
Rethinking Task-Incremental Learning Baselines
Rethinking Task-Incremental Learning Baselines
Md. Rejwanul Hossain
P. Saha
T. Chowdhury
Shafin Rahman
Fuad Rahman
Nabeel Mohammed
CLL
35
5
0
23 May 2022
Memory-efficient Reinforcement Learning with Value-based Knowledge
  Consolidation
Memory-efficient Reinforcement Learning with Value-based Knowledge Consolidation
Qingfeng Lan
Yangchen Pan
Jun Luo
A. R. Mahmood
OffRL
29
7
0
22 May 2022
How catastrophic can catastrophic forgetting be in linear regression?
How catastrophic can catastrophic forgetting be in linear regression?
Itay Evron
E. Moroshko
Rachel A. Ward
Nati Srebro
Daniel Soudry
CLL
30
48
0
19 May 2022
Learning Representations for New Sound Classes With Continual
  Self-Supervised Learning
Learning Representations for New Sound Classes With Continual Self-Supervised Learning
Zhepei Wang
Cem Subakan
Xilin Jiang
Junkai Wu
Efthymios Tzinis
Mirco Ravanelli
Paris Smaragdis
CLL
SSL
67
19
0
15 May 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
Class-Incremental Learning with Strong Pre-trained Models
Class-Incremental Learning with Strong Pre-trained Models
Tz-Ying Wu
Gurumurthy Swaminathan
Zhizhong Li
Avinash Ravichandran
Nuno Vasconcelos
Rahul Bhotika
Stefano Soatto
CLL
32
67
0
07 Apr 2022
Efficient and Degradation-Adaptive Network for Real-World Image
  Super-Resolution
Efficient and Degradation-Adaptive Network for Real-World Image Super-Resolution
Jie Liang
Huiyu Zeng
Lei Zhang
SupR
30
87
0
27 Mar 2022
A Comparative Study of Calibration Methods for Imbalanced Class
  Incremental Learning
A Comparative Study of Calibration Methods for Imbalanced Class Incremental Learning
Umang Aggarwal
Adrian Daniel Popescu
Eden Belouadah
C´eline Hudelot
CLL
14
4
0
01 Feb 2022
Technical Report for ICCV 2021 Challenge SSLAD-Track3B: Transformers Are
  Better Continual Learners
Technical Report for ICCV 2021 Challenge SSLAD-Track3B: Transformers Are Better Continual Learners
Duo Li
Guimei Cao
Yunlu Xu
Zhanzhan Cheng
Yi Niu
CLL
27
21
0
13 Jan 2022
An Incremental Learning Approach to Automatically Recognize Pulmonary
  Diseases from the Multi-vendor Chest Radiographs
An Incremental Learning Approach to Automatically Recognize Pulmonary Diseases from the Multi-vendor Chest Radiographs
Mehreen Sirshar
Taimur Hassan
M. Akram
S. Khan
27
33
0
07 Jan 2022
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
Exploring System Performance of Continual Learning for Mobile and
  Embedded Sensing Applications
Exploring System Performance of Continual Learning for Mobile and Embedded Sensing Applications
Young D. Kwon
Jagmohan Chauhan
Abhishek Kumar
Pan Hui
Cecilia Mascolo
CLL
HAI
28
32
0
25 Oct 2021
Multi-Domain Incremental Learning for Semantic Segmentation
Multi-Domain Incremental Learning for Semantic Segmentation
Prachi Garg
Rohit Saluja
V. Balasubramanian
Chetan Arora
A. Subramanian
C. V. Jawahar
CLL
25
32
0
23 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
27
73
0
23 Sep 2021
An Investigation of Replay-based Approaches for Continual Learning
An Investigation of Replay-based Approaches for Continual Learning
Benedikt Bagus
A. Gepperth
CLL
33
33
0
15 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
Discriminative Distillation to Reduce Class Confusion in Continual
  Learning
Discriminative Distillation to Reduce Class Confusion in Continual Learning
Changhong Zhong
Z. Cui
Ruixuan Wang
Weishi Zheng
23
1
0
11 Aug 2021
Continual Learning for Automated Audio Captioning Using The Learning
  Without Forgetting Approach
Continual Learning for Automated Audio Captioning Using The Learning Without Forgetting Approach
Jan van den Berg
K. Drossos
CLL
6
11
0
16 Jul 2021
Lifelong Mixture of Variational Autoencoders
Lifelong Mixture of Variational Autoencoders
Fei Ye
A. Bors
DRL
24
27
0
09 Jul 2021
A First Look at Class Incremental Learning in Deep Learning Mobile
  Traffic Classification
A First Look at Class Incremental Learning in Deep Learning Mobile Traffic Classification
Giampaolo Bovenzi
Lixuan Yang
A. Finamore
Giuseppe Aceto
D. Ciuonzo
A. Pescapé
Dario Rossi
20
22
0
09 Jul 2021
Multi-View Correlation Distillation for Incremental Object Detection
Multi-View Correlation Distillation for Incremental Object Detection
Dongbao Yang
Yu Zhou
Weiping Wang
32
59
0
05 Jul 2021
Learning without Forgetting for 3D Point Cloud Objects
Learning without Forgetting for 3D Point Cloud Objects
T. Chowdhury
Mahira Jalisha
A. Cheraghian
Shafin Rahman
3DPC
35
9
0
27 Jun 2021
Piggyback GAN: Efficient Lifelong Learning for Image Conditioned
  Generation
Piggyback GAN: Efficient Lifelong Learning for Image Conditioned Generation
Mengyao Zhai
Lei Chen
Jiawei He
Megha Nawhal
Frederick Tung
Greg Mori
CLL
38
28
0
24 Apr 2021
Continual Learning in Sensor-based Human Activity Recognition: an
  Empirical Benchmark Analysis
Continual Learning in Sensor-based Human Activity Recognition: an Empirical Benchmark Analysis
Saurav Jha
Martin Schiemer
F. Zambonelli
Juan Ye
23
48
0
19 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
Continual Learning for Blind Image Quality Assessment
Continual Learning for Blind Image Quality Assessment
Weixia Zhang
Dingquan Li
Chao Ma
Guangtao Zhai
Xiaokang Yang
Kede Ma
VLM
24
86
0
19 Feb 2021
Continual Learning in Low-rank Orthogonal Subspaces
Continual Learning in Low-rank Orthogonal Subspaces
Arslan Chaudhry
Naeemullah Khan
P. Dokania
Philip Torr
CLL
33
115
0
22 Oct 2020
Adaptive Aggregation Networks for Class-Incremental Learning
Adaptive Aggregation Networks for Class-Incremental Learning
Yaoyao Liu
Bernt Schiele
Qianru Sun
CLL
21
215
0
10 Oct 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
Initial Classifier Weights Replay for Memoryless Class Incremental
  Learning
Initial Classifier Weights Replay for Memoryless Class Incremental Learning
Eden Belouadah
Adrian Daniel Popescu
Ioannis Kanellos
CLL
21
23
0
31 Aug 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
21
234
0
19 Feb 2020
Towards Crowdsourced Training of Large Neural Networks using
  Decentralized Mixture-of-Experts
Towards Crowdsourced Training of Large Neural Networks using Decentralized Mixture-of-Experts
Max Ryabinin
Anton I. Gusev
FedML
27
48
0
10 Feb 2020
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