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Switchable Representation Learning Framework with Self-compatibility
v1v2v3v4 (latest)

Switchable Representation Learning Framework with Self-compatibility

16 June 2022
Shengsen Wu
Yan Bai
Yihang Lou
Xiongkun Linghu
Jianzhong He
Ling-yu Duan
ArXiv (abs)PDFHTML

Papers citing "Switchable Representation Learning Framework with Self-compatibility"

50 / 54 papers shown
Title
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
135
81
0
07 Feb 2022
Neighborhood Consensus Contrastive Learning for Backward-Compatible
  Representation
Neighborhood Consensus Contrastive Learning for Backward-Compatible Representation
Shengsen Wu
Liang Chen
Yihang Lou
Yan Bai
Tao Bai
Minghua Deng
Ling-yu Duan
53
8
0
07 Aug 2021
Evidential Deep Learning for Open Set Action Recognition
Evidential Deep Learning for Open Set Action Recognition
Wentao Bao
Qi Yu
Yu Kong
CMLEDL
112
141
0
21 Jul 2021
CompOFA: Compound Once-For-All Networks for Faster Multi-Platform
  Deployment
CompOFA: Compound Once-For-All Networks for Faster Multi-Platform Deployment
Manas Sahni
S. Varshini
Alind Khare
Alexey Tumanov
48
33
0
26 Apr 2021
LeViT: a Vision Transformer in ConvNet's Clothing for Faster Inference
LeViT: a Vision Transformer in ConvNet's Clothing for Faster Inference
Ben Graham
Alaaeldin El-Nouby
Hugo Touvron
Pierre Stock
Armand Joulin
Hervé Jégou
Matthijs Douze
ViT
97
794
0
02 Apr 2021
Gradient-guided Loss Masking for Neural Machine Translation
Gradient-guided Loss Masking for Neural Machine Translation
Xinyi Wang
Ankur Bapna
Melvin Johnson
Orhan Firat
65
9
0
26 Feb 2021
Dynamic Neural Networks: A Survey
Dynamic Neural Networks: A Survey
Yizeng Han
Gao Huang
Shiji Song
Le Yang
Honghui Wang
Yulin Wang
3DHAI4TSAI4CE
115
653
0
09 Feb 2021
Trusted Multi-View Classification
Trusted Multi-View Classification
Zongbo Han
Changqing Zhang
Huazhu Fu
Qiufeng Wang
EDL
64
172
0
03 Feb 2021
Positive-Congruent Training: Towards Regression-Free Model Updates
Positive-Congruent Training: Towards Regression-Free Model Updates
Sijie Yan
Yuanjun Xiong
Kaustav Kundu
Shuo Yang
Siqi Deng
Meng Wang
Wei Xia
Stefano Soatto
BDL
89
53
0
18 Nov 2020
Glance and Focus: a Dynamic Approach to Reducing Spatial Redundancy in
  Image Classification
Glance and Focus: a Dynamic Approach to Reducing Spatial Redundancy in Image Classification
Yulin Wang
Kangchen Lv
Rui Huang
Shiji Song
Le Yang
Gao Huang
3DH
47
150
0
11 Oct 2020
Asymmetric metric learning for knowledge transfer
Asymmetric metric learning for knowledge transfer
Mateusz Budnik
Yannis Avrithis
64
35
0
29 Jun 2020
FastReID: A Pytorch Toolbox for General Instance Re-identification
FastReID: A Pytorch Toolbox for General Instance Re-identification
Lingxiao He
Xingyu Liao
Wu Liu
Xinchen Liu
Peng Cheng
Tao Mei
115
315
0
04 Jun 2020
Towards Backward-Compatible Representation Learning
Towards Backward-Compatible Representation Learning
Yantao Shen
Yuanjun Xiong
Wei Xia
Stefano Soatto
88
81
0
26 Mar 2020
Circle Loss: A Unified Perspective of Pair Similarity Optimization
Circle Loss: A Unified Perspective of Pair Similarity Optimization
Yifan Sun
Changmao Cheng
Yuhan Zhang
Chi Zhang
Liang Zheng
Zhongdao Wang
Yichen Wei
117
860
0
25 Feb 2020
Being Bayesian about Categorical Probability
Being Bayesian about Categorical Probability
Taejong Joo
U. Chung
Minji Seo
UQCVBDL
88
61
0
19 Feb 2020
The Tree Ensemble Layer: Differentiability meets Conditional Computation
The Tree Ensemble Layer: Differentiability meets Conditional Computation
Hussein Hazimeh
Natalia Ponomareva
P. Mol
Zhenyu Tan
Rahul Mazumder
UQCVAI4CE
405
80
0
18 Feb 2020
Gradient Surgery for Multi-Task Learning
Gradient Surgery for Multi-Task Learning
Tianhe Yu
Saurabh Kumar
Abhishek Gupta
Sergey Levine
Karol Hausman
Chelsea Finn
197
1,230
0
19 Jan 2020
Dynamic Convolutions: Exploiting Spatial Sparsity for Faster Inference
Dynamic Convolutions: Exploiting Spatial Sparsity for Faster Inference
Thomas Verelst
Tinne Tuytelaars
67
153
0
06 Dec 2019
Orthogonal Gradient Descent for Continual Learning
Orthogonal Gradient Descent for Continual Learning
Mehrdad Farajtabar
Navid Azizan
Alex Mott
Ang Li
CLL
111
374
0
15 Oct 2019
Deformable Kernels: Adapting Effective Receptive Fields for Object
  Deformation
Deformable Kernels: Adapting Effective Receptive Fields for Object Deformation
Hang Gao
Xizhou Zhu
Steve Lin
Jifeng Dai
111
65
0
07 Oct 2019
Once-for-All: Train One Network and Specialize it for Efficient
  Deployment
Once-for-All: Train One Network and Specialize it for Efficient Deployment
Han Cai
Chuang Gan
Tianzhe Wang
Zhekai Zhang
Song Han
OOD
133
1,283
0
26 Aug 2019
Pixel-Adaptive Convolutional Neural Networks
Pixel-Adaptive Convolutional Neural Networks
Hang Su
Varun Jampani
Deqing Sun
Orazio Gallo
Erik Learned-Miller
Jan Kautz
93
291
0
10 Apr 2019
Bag of Tricks and A Strong Baseline for Deep Person Re-identification
Bag of Tricks and A Strong Baseline for Deep Person Re-identification
Hao Luo
Youzhi Gu
Xingyu Liao
Shenqi Lai
Wei Jiang
BDL3DPC
164
1,179
0
17 Mar 2019
Slimmable Neural Networks
Slimmable Neural Networks
Jiahui Yu
L. Yang
N. Xu
Jianchao Yang
Thomas Huang
95
556
0
21 Dec 2018
Adapting Auxiliary Losses Using Gradient Similarity
Adapting Auxiliary Losses Using Gradient Similarity
Yunshu Du
Wojciech M. Czarnecki
Siddhant M. Jayakumar
Mehrdad Farajtabar
Razvan Pascanu
Balaji Lakshminarayanan
98
158
0
05 Dec 2018
ProxylessNAS: Direct Neural Architecture Search on Target Task and
  Hardware
ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
Han Cai
Ligeng Zhu
Song Han
107
1,877
0
02 Dec 2018
Deformable ConvNets v2: More Deformable, Better Results
Deformable ConvNets v2: More Deformable, Better Results
Xizhou Zhu
Han Hu
Stephen Lin
Jifeng Dai
ObjD
134
2,024
0
27 Nov 2018
Multi-Task Learning as Multi-Objective Optimization
Multi-Task Learning as Multi-Objective Optimization
Ozan Sener
V. Koltun
175
1,291
0
10 Oct 2018
MnasNet: Platform-Aware Neural Architecture Search for Mobile
MnasNet: Platform-Aware Neural Architecture Search for Mobile
Mingxing Tan
Bo Chen
Ruoming Pang
Vijay Vasudevan
Mark Sandler
Andrew G. Howard
Quoc V. Le
MQ
131
3,020
0
31 Jul 2018
Evidential Deep Learning to Quantify Classification Uncertainty
Evidential Deep Learning to Quantify Classification Uncertainty
Murat Sensoy
Lance M. Kaplan
M. Kandemir
OODUQCVEDLBDL
194
1,005
0
05 Jun 2018
Pixel-wise Attentional Gating for Parsimonious Pixel Labeling
Pixel-wise Attentional Gating for Parsimonious Pixel Labeling
Shu Kong
Charless C. Fowlkes
95
40
0
03 May 2018
Concurrent Spatial and Channel Squeeze & Excitation in Fully
  Convolutional Networks
Concurrent Spatial and Channel Squeeze & Excitation in Fully Convolutional Networks
Abhijit Guha Roy
Nassir Navab
Christian Wachinger
84
809
0
07 Mar 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks
MobileNetV2: Inverted Residuals and Linear Bottlenecks
Mark Sandler
Andrew G. Howard
Menglong Zhu
A. Zhmoginov
Liang-Chieh Chen
237
19,353
0
13 Jan 2018
Convolutional Networks with Adaptive Inference Graphs
Convolutional Networks with Adaptive Inference Graphs
Andreas Veit
Serge J. Belongie
OODGNN
107
385
0
30 Nov 2017
SkipNet: Learning Dynamic Routing in Convolutional Networks
SkipNet: Learning Dynamic Routing in Convolutional Networks
Xin Wang
Feng Yu
Zi-Yi Dou
Trevor Darrell
Joseph E. Gonzalez
112
640
0
26 Nov 2017
CondenseNet: An Efficient DenseNet using Learned Group Convolutions
CondenseNet: An Efficient DenseNet using Learned Group Convolutions
Gao Huang
Shichen Liu
Laurens van der Maaten
Kilian Q. Weinberger
124
798
0
25 Nov 2017
Person Transfer GAN to Bridge Domain Gap for Person Re-Identification
Person Transfer GAN to Bridge Domain Gap for Person Re-Identification
Longhui Wei
Shiliang Zhang
Wen Gao
Q. Tian
GAN
124
1,670
0
23 Nov 2017
GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep
  Multitask Networks
GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks
Zhao Chen
Vijay Badrinarayanan
Chen-Yu Lee
Andrew Rabinovich
ODL
176
1,295
0
07 Nov 2017
BranchyNet: Fast Inference via Early Exiting from Deep Neural Networks
BranchyNet: Fast Inference via Early Exiting from Deep Neural Networks
Surat Teerapittayanon
Bradley McDanel
H. T. Kung
UQCV
101
1,151
0
06 Sep 2017
Learning Efficient Convolutional Networks through Network Slimming
Learning Efficient Convolutional Networks through Network Slimming
Zhuang Liu
Jianguo Li
Zhiqiang Shen
Gao Huang
Shoumeng Yan
Changshui Zhang
140
2,427
0
22 Aug 2017
Segmentation-Aware Convolutional Networks Using Local Attention Masks
Segmentation-Aware Convolutional Networks Using Local Attention Masks
Adam W. Harley
Konstantinos G. Derpanis
Iasonas Kokkinos
SSeg
205
142
0
15 Aug 2017
ShuffleNet: An Extremely Efficient Convolutional Neural Network for
  Mobile Devices
ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
Xiangyu Zhang
Xinyu Zhou
Mengxiao Lin
Jian Sun
AI4TS
154
6,896
0
04 Jul 2017
Gradient Episodic Memory for Continual Learning
Gradient Episodic Memory for Continual Learning
David Lopez-Paz
MarcÁurelio Ranzato
VLMCLL
141
2,743
0
26 Jun 2017
Not All Pixels Are Equal: Difficulty-aware Semantic Segmentation via
  Deep Layer Cascade
Not All Pixels Are Equal: Difficulty-aware Semantic Segmentation via Deep Layer Cascade
Xiaoxiao Li
Ziwei Liu
Ping Luo
Chen Change Loy
Xiaoou Tang
163
264
0
05 Apr 2017
Deformable Convolutional Networks
Deformable Convolutional Networks
Jifeng Dai
Haozhi Qi
Yuwen Xiong
Yi Li
Guodong Zhang
Han Hu
Yichen Wei
232
5,345
0
17 Mar 2017
Adaptive Neural Networks for Efficient Inference
Adaptive Neural Networks for Efficient Inference
Tolga Bolukbasi
Joseph Wang
O. Dekel
Venkatesh Saligrama
68
357
0
25 Feb 2017
Adaptive Computation Time for Recurrent Neural Networks
Adaptive Computation Time for Recurrent Neural Networks
Alex Graves
127
552
0
29 Mar 2016
Identity Mappings in Deep Residual Networks
Identity Mappings in Deep Residual Networks
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
357
10,204
0
16 Mar 2016
Visual Concept Recognition and Localization via Iterative Introspection
Visual Concept Recognition and Localization via Iterative Introspection
Amir Rosenfeld
S. Ullman
76
23
0
14 Mar 2016
Decision Forests, Convolutional Networks and the Models in-Between
Decision Forests, Convolutional Networks and the Models in-Between
Yani Andrew Ioannou
D. Robertson
Darko Zikic
Peter Kontschieder
Jamie Shotton
Matthew Brown
A. Criminisi
152
88
0
03 Mar 2016
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