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Conditional Channel Gated Networks for Task-Aware Continual Learning

Conditional Channel Gated Networks for Task-Aware Continual Learning

31 March 2020
Davide Abati
Jakub M. Tomczak
Tijmen Blankevoort
Simone Calderara
Rita Cucchiara
B. Bejnordi
    CLL
ArXivPDFHTML

Papers citing "Conditional Channel Gated Networks for Task-Aware Continual Learning"

50 / 107 papers shown
Title
Booster-SHOT: Boosting Stacked Homography Transformations for Multiview
  Pedestrian Detection with Attention
Booster-SHOT: Boosting Stacked Homography Transformations for Multiview Pedestrian Detection with Attention
Jinwoo Hwang
Philipp Benz
Tae-Hoon Kim
ViT
18
3
0
19 Aug 2022
Class-Incremental Learning with Cross-Space Clustering and Controlled
  Transfer
Class-Incremental Learning with Cross-Space Clustering and Controlled Transfer
Arjun Ashok
K. J. Joseph
V. Balasubramanian
CLL
6
29
0
07 Aug 2022
Lifelong DP: Consistently Bounded Differential Privacy in Lifelong
  Machine Learning
Lifelong DP: Consistently Bounded Differential Privacy in Lifelong Machine Learning
Phung Lai
Han Hu
Nhathai Phan
Ruoming Jin
My T. Thai
An M. Chen
11
1
0
26 Jul 2022
Online Continual Learning with Contrastive Vision Transformer
Online Continual Learning with Contrastive Vision Transformer
Zhen Wang
Liu Liu
Yajing Kong
Jiaxian Guo
Dacheng Tao
CLL
16
29
0
24 Jul 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
8
12
0
22 Jul 2022
Novel Class Discovery without Forgetting
Novel Class Discovery without Forgetting
K. J. Joseph
S. Paul
Gaurav Aggarwal
Soma Biswas
Piyush Rai
Kai Han
V. Balasubramanian
CLL
29
43
0
21 Jul 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
M. Salman Asif
CLL
8
13
0
19 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
15
2
0
14 Jul 2022
Transfer without Forgetting
Transfer without Forgetting
Matteo Boschini
Lorenzo Bonicelli
Angelo Porrello
Giovanni Bellitto
M. Pennisi
S. Palazzo
C. Spampinato
Simone Calderara
CLL
8
46
0
01 Jun 2022
Continual Learning for Visual Search with Backward Consistent Feature
  Embedding
Continual Learning for Visual Search with Backward Consistent Feature Embedding
Timmy S. T. Wan
Jun-Cheng Chen
Tzer-Yi Wu
Chu-Song Chen
CLL
VLM
18
18
0
26 May 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
17
122
0
26 May 2022
Continual Learning with Bayesian Model based on a Fixed Pre-trained
  Feature Extractor
Continual Learning with Bayesian Model based on a Fixed Pre-trained Feature Extractor
Yang Yang
Z. Cui
Junjie Xu
Changhong Zhong
Weishi Zheng
Ruixuan Wang
MedIm
BDL
OOD
11
34
0
28 Apr 2022
Spacing Loss for Discovering Novel Categories
Spacing Loss for Discovering Novel Categories
K. J. Joseph
S. Paul
Gaurav Aggarwal
Soma Biswas
Piyush Rai
Kai Han
V. Balasubramanian
6
14
0
22 Apr 2022
CNLL: A Semi-supervised Approach For Continual Noisy Label Learning
CNLL: A Semi-supervised Approach For Continual Noisy Label Learning
Nazmul Karim
Umar Khalid
Ashkan Esmaeili
Nazanin Rahnavard
NoLa
CLL
25
15
0
21 Apr 2022
Learning to Imagine: Diversify Memory for Incremental Learning using
  Unlabeled Data
Learning to Imagine: Diversify Memory for Incremental Learning using Unlabeled Data
Yujin Tang
Yifan Peng
Weishi Zheng
CLL
11
31
0
19 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
6
67
0
07 Apr 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
8
175
0
02 Apr 2022
Energy-based Latent Aligner for Incremental Learning
Energy-based Latent Aligner for Incremental Learning
K. J. Joseph
Salman Khan
F. Khan
Rao Muhammad Anwer
V. Balasubramanian
CLL
14
46
0
28 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
14
17
0
17 Mar 2022
RBC: Rectifying the Biased Context in Continual Semantic Segmentation
RBC: Rectifying the Biased Context in Continual Semantic Segmentation
Hanbin Zhao
Fengyu Yang
Xinghe Fu
Xi Li
CLL
23
30
0
16 Mar 2022
Representation Compensation Networks for Continual Semantic Segmentation
Representation Compensation Networks for Continual Semantic Segmentation
Chang-Bin Zhang
Jianqiang Xiao
Xialei Liu
Ying-Cong Chen
Mingg-Ming Cheng
SSeg
CLL
11
93
0
10 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
A. Hengel
Javen Qinfeng Shi
CLL
BDL
20
37
0
21 Feb 2022
Mixture-of-Experts with Expert Choice Routing
Mixture-of-Experts with Expert Choice Routing
Yan-Quan Zhou
Tao Lei
Han-Chu Liu
Nan Du
Yanping Huang
Vincent Zhao
Andrew M. Dai
Zhifeng Chen
Quoc V. Le
James Laudon
MoE
147
323
0
18 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
8
21
0
13 Jan 2022
Relational Experience Replay: Continual Learning by Adaptively Tuning
  Task-wise Relationship
Relational Experience Replay: Continual Learning by Adaptively Tuning Task-wise Relationship
Quanziang Wang
Renzhen Wang
Yuexiang Li
Dong Wei
Kai Ma
Yefeng Zheng
Deyu Meng
CLL
11
6
0
31 Dec 2021
DILF-EN framework for Class-Incremental Learning
DILF-EN framework for Class-Incremental Learning
M. A. Karim
Indu Joshi
Pratik Mazumder
Pravendra Singh
CLL
11
1
0
23 Dec 2021
CLASSIC: Continual and Contrastive Learning of Aspect Sentiment
  Classification Tasks
CLASSIC: Continual and Contrastive Learning of Aspect Sentiment Classification Tasks
Zixuan Ke
Bing-Quan Liu
Hu Xu
Lei Shu
CLL
10
55
0
05 Dec 2021
Online Continual Learning Via Candidates Voting
Online Continual Learning Via Candidates Voting
Jiangpeng He
F. Zhu
CLL
18
18
0
17 Oct 2021
Continual Learning with Differential Privacy
Continual Learning with Differential Privacy
Pradnya Desai
Phung Lai
Nhathai Phan
My T. Thai
14
7
0
11 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
23
73
0
23 Sep 2021
Online Continual Learning For Visual Food Classification
Online Continual Learning For Visual Food Classification
Jiangpeng He
F. Zhu
CLL
10
47
0
15 Aug 2021
Continual Semi-Supervised Learning through Contrastive Interpolation
  Consistency
Continual Semi-Supervised Learning through Contrastive Interpolation Consistency
Matteo Boschini
Pietro Buzzega
Lorenzo Bonicelli
Angelo Porrello
Simone Calderara
CLL
19
40
0
14 Aug 2021
DIODE: Dilatable Incremental Object Detection
DIODE: Dilatable Incremental Object Detection
Can Peng
Kun-li Zhao
Sam Maksoud
Tianren Wang
Brian C. Lovell
CLL
ObjD
14
9
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
10
1
0
11 Aug 2021
An EM Framework for Online Incremental Learning of Semantic Segmentation
An EM Framework for Online Incremental Learning of Semantic Segmentation
Shipeng Yan
Jiale Zhou
Jiangwei Xie
Songyang Zhang
Xuming He
CLL
8
40
0
08 Aug 2021
Few-Shot and Continual Learning with Attentive Independent Mechanisms
Few-Shot and Continual Learning with Attentive Independent Mechanisms
Eugene Lee
Cheng-Han Huang
Chen-Yi Lee
CLL
13
24
0
29 Jul 2021
Split-and-Bridge: Adaptable Class Incremental Learning within a Single
  Neural Network
Split-and-Bridge: Adaptable Class Incremental Learning within a Single Neural Network
Jong-Yeong Kim
Dong-Wan Choi
CLL
8
25
0
03 Jul 2021
Learning Multiple Stock Trading Patterns with Temporal Routing Adaptor
  and Optimal Transport
Learning Multiple Stock Trading Patterns with Temporal Routing Adaptor and Optimal Transport
Hengxu Lin
Dong Zhou
Weiqing Liu
Jiang Bian
AIFin
AI4TS
15
63
0
24 Jun 2021
Preserving Earlier Knowledge in Continual Learning with the Help of All
  Previous Feature Extractors
Preserving Earlier Knowledge in Continual Learning with the Help of All Previous Feature Extractors
Zhuoyun Li
Changhong Zhong
Sijia Liu
Ruixuan Wang
Weishi Zheng
CLL
6
29
0
28 Apr 2021
FrameExit: Conditional Early Exiting for Efficient Video Recognition
FrameExit: Conditional Early Exiting for Efficient Video Recognition
Amir Ghodrati
B. Bejnordi
A. Habibian
34
81
0
27 Apr 2021
Unsupervised Continual Learning Via Pseudo Labels
Unsupervised Continual Learning Via Pseudo Labels
Jiangpeng He
Feng Zhu
SSL
CLL
6
25
0
14 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
17
129
0
01 Apr 2021
DER: Dynamically Expandable Representation for Class Incremental
  Learning
DER: Dynamically Expandable Representation for Class Incremental Learning
Shipeng Yan
Jiangwei Xie
Xuming He
CLL
10
434
0
31 Mar 2021
Training Networks in Null Space of Feature Covariance for Continual
  Learning
Training Networks in Null Space of Feature Covariance for Continual Learning
Shipeng Wang
Xiaorong Li
Jian Sun
Zongben Xu
CLL
18
129
0
12 Mar 2021
Towards Continual, Online, Self-Supervised Depth
Towards Continual, Online, Self-Supervised Depth
Muhammad Umar Karim Khan
TTA
CLL
15
2
0
28 Feb 2021
Understanding Catastrophic Forgetting and Remembering in Continual
  Learning with Optimal Relevance Mapping
Understanding Catastrophic Forgetting and Remembering in Continual Learning with Optimal Relevance Mapping
Prakhar Kaushik
Alex Gain
Adam Kortylewski
Alan Yuille
CLL
11
68
0
22 Feb 2021
Generalising via Meta-Examples for Continual Learning in the Wild
Generalising via Meta-Examples for Continual Learning in the Wild
Alessia Bertugli
Stefano Vincenzi
Simone Calderara
Andrea Passerini
CLL
9
2
0
28 Jan 2021
CNN with large memory layers
CNN with large memory layers
R. Karimov
Yury Malkov
Karim Iskakov
Victor Lempitsky
11
0
0
27 Jan 2021
Online Continual Learning in Image Classification: An Empirical Survey
Online Continual Learning in Image Classification: An Empirical Survey
Zheda Mai
Ruiwen Li
Jihwan Jeong
David Quispe
Hyunwoo J. Kim
Scott Sanner
VLM
CLL
12
404
0
25 Jan 2021
Multi-Domain Image-to-Image Translation with Adaptive Inference Graph
Multi-Domain Image-to-Image Translation with Adaptive Inference Graph
The-Phuc Nguyen
Stéphane Lathuilière
Elisa Ricci
3DH
9
6
0
11 Jan 2021
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