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2108.03418
Cited By
Information Bottleneck Approach to Spatial Attention Learning
7 August 2021
Qiuxia Lai
Yu Li
Ailing Zeng
Minhao Liu
Hanqiu Sun
Qiang Xu
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Papers citing
"Information Bottleneck Approach to Spatial Attention Learning"
28 / 28 papers shown
Title
Differentiable Channel Selection in Self-Attention For Person Re-Identification
Yancheng Wang
Nebojsa Jojic
Yingzhen Yang
55
0
0
13 May 2025
Efficient Visual Transformer by Learnable Token Merging
Yancheng Wang
Yingzhen Yang
ViT
74
2
0
21 Jul 2024
Recognizable Information Bottleneck
Yilin Lyu
Xin Liu
M. Song
Xinyue Wang
Chaomin Shen
T. Zeng
L. Jing
69
5
0
28 Apr 2023
R2-Trans:Fine-Grained Visual Categorization with Redundancy Reduction
Yu Wang
Shuo Ye
Shujian Yu
Xinge You
40
14
0
21 Apr 2022
Learning to Learn with Variational Information Bottleneck for Domain Generalization
Yingjun Du
Jun Xu
Huan Xiong
Qiang Qiu
Xiantong Zhen
Cees G. M. Snoek
Ling Shao
BDL
OOD
65
165
0
15 Jul 2020
Decision-Making with Auto-Encoding Variational Bayes
Romain Lopez
Pierre Boyeau
Nir Yosef
Michael I. Jordan
Jeffrey Regier
BDL
199
10,591
0
17 Feb 2020
Restricting the Flow: Information Bottlenecks for Attribution
Karl Schulz
Leon Sixt
Federico Tombari
Tim Landgraf
FAtt
24
183
0
02 Jan 2020
Information-Bottleneck Approach to Salient Region Discovery
A. Zhmoginov
Ian S. Fischer
Mark Sandler
26
18
0
22 Jul 2019
High Frequency Component Helps Explain the Generalization of Convolutional Neural Networks
Haohan Wang
Xindi Wu
Pengcheng Yin
Eric Xing
46
518
0
28 May 2019
Local Relation Networks for Image Recognition
Han Hu
Zheng Zhang
Zhenda Xie
Stephen Lin
FAtt
59
499
0
25 Apr 2019
InfoMask: Masked Variational Latent Representation to Localize Chest Disease
Saeid Asgari Taghanaki
Mohammad Havaei
T. Berthier
Francis Dutil
Lisa Di-Jorio
Ghassan Hamarneh
Yoshua Bengio
75
42
0
28 Mar 2019
Attention Branch Network: Learning of Attention Mechanism for Visual Explanation
Hiroshi Fukui
Tsubasa Hirakawa
Takayoshi Yamashita
H. Fujiyoshi
XAI
FAtt
54
402
0
25 Dec 2018
CBAM: Convolutional Block Attention Module
Sanghyun Woo
Jongchan Park
Joon-Young Lee
In So Kweon
169
16,337
0
17 Jul 2018
Learn To Pay Attention
Saumya Jetley
Nicholas A. Lord
Namhoon Lee
Philip Torr
93
437
0
06 Apr 2018
Variational Attention for Sequence-to-Sequence Models
Hareesh Bahuleyan
Lili Mou
Olga Vechtomova
Pascal Poupart
DRL
59
117
0
21 Dec 2017
Neural Discrete Representation Learning
Aaron van den Oord
Oriol Vinyals
Koray Kavukcuoglu
BDL
SSL
OCL
154
4,928
0
02 Nov 2017
Squeeze-and-Excitation Networks
Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
334
26,241
0
05 Sep 2017
Deep Variational Information Bottleneck
Alexander A. Alemi
Ian S. Fischer
Joshua V. Dillon
Kevin Patrick Murphy
78
1,697
0
01 Dec 2016
Information Dropout: Learning Optimal Representations Through Noisy Computation
Alessandro Achille
Stefano Soatto
OOD
DRL
SSL
40
397
0
04 Nov 2016
Wide Residual Networks
Sergey Zagoruyko
N. Komodakis
256
7,951
0
23 May 2016
Learning Deep Features for Discriminative Localization
Bolei Zhou
A. Khosla
Àgata Lapedriza
A. Oliva
Antonio Torralba
SSL
SSeg
FAtt
161
9,266
0
14 Dec 2015
Action Recognition using Visual Attention
Shikhar Sharma
Ryan Kiros
Ruslan Salakhutdinov
50
666
0
12 Nov 2015
Attention-Based Models for Speech Recognition
J. Chorowski
Dzmitry Bahdanau
Dmitriy Serdyuk
Kyunghyun Cho
Yoshua Bengio
98
2,605
0
24 Jun 2015
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
Ke Xu
Jimmy Ba
Ryan Kiros
Kyunghyun Cho
Aaron Courville
Ruslan Salakhutdinov
R. Zemel
Yoshua Bengio
DiffM
279
10,034
0
10 Feb 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
920
99,991
0
04 Sep 2014
Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
AIMat
383
27,205
0
01 Sep 2014
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
Karen Simonyan
Andrea Vedaldi
Andrew Zisserman
FAtt
167
7,252
0
20 Dec 2013
Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation
Yoshua Bengio
Nicholas Léonard
Aaron Courville
305
3,099
0
15 Aug 2013
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