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1808.06670
Cited By
Learning deep representations by mutual information estimation and maximization
20 August 2018
R. Devon Hjelm
A. Fedorov
Samuel Lavoie-Marchildon
Karan Grewal
Phil Bachman
Adam Trischler
Yoshua Bengio
SSL
DRL
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Papers citing
"Learning deep representations by mutual information estimation and maximization"
50 / 634 papers shown
Title
Object discovery and representation networks
Olivier J. Hénaff
Skanda Koppula
Evan Shelhamer
Daniel Zoran
Andrew Jaegle
Andrew Zisserman
João Carreira
Relja Arandjelović
44
87
0
16 Mar 2022
MetAug: Contrastive Learning via Meta Feature Augmentation
Jiangmeng Li
Jingyao Wang
Changwen Zheng
Fuchun Sun
Hui Xiong
37
23
0
10 Mar 2022
Discriminability-Transferability Trade-Off: An Information-Theoretic Perspective
Quan Cui
Bingchen Zhao
Zhao-Min Chen
Borui Zhao
Renjie Song
Jiajun Liang
Boyan Zhou
Osamu Yoshie
24
18
0
08 Mar 2022
Audio Self-supervised Learning: A Survey
Shuo Liu
Adria Mallol-Ragolta
Emilia Parada-Cabeleiro
Kun Qian
Xingshuo Jing
Alexander Kathan
Bin Hu
Bjoern W. Schuller
SSL
45
106
0
02 Mar 2022
Understanding Contrastive Learning Requires Incorporating Inductive Biases
Nikunj Saunshi
Jordan T. Ash
Surbhi Goel
Dipendra Kumar Misra
Cyril Zhang
Sanjeev Arora
Sham Kakade
A. Krishnamurthy
SSL
29
109
0
28 Feb 2022
Efficient Attribute Unlearning: Towards Selective Removal of Input Attributes from Feature Representations
Tao Guo
Song Guo
Jiewei Zhang
Wenchao Xu
Junxiao Wang
MU
32
18
0
27 Feb 2022
Vision-Language Pre-Training with Triple Contrastive Learning
Jinyu Yang
Jiali Duan
Son N. Tran
Yi Xu
Sampath Chanda
Liqun Chen
Belinda Zeng
Trishul Chilimbi
Junzhou Huang
VLM
46
289
0
21 Feb 2022
Task-Agnostic Graph Explanations
Yaochen Xie
S. Katariya
Xianfeng Tang
E-Wen Huang
Nikhil S. Rao
Karthik Subbian
Shuiwang Ji
51
25
0
16 Feb 2022
A Differential Entropy Estimator for Training Neural Networks
Georg Pichler
Pierre Colombo
Malik Boudiaf
Günther Koliander
Pablo Piantanida
25
21
0
14 Feb 2022
Conditional Contrastive Learning with Kernel
Yao-Hung Hubert Tsai
Tianqi Li
Martin Q. Ma
Han Zhao
Kun Zhang
Louis-Philippe Morency
Ruslan Salakhutdinov
27
25
0
11 Feb 2022
Multimodal Audio-Visual Information Fusion using Canonical-Correlated Graph Neural Network for Energy-Efficient Speech Enhancement
L. A. Passos
João Paulo Papa
Javier Del Ser
Amir Hussain
Ahsan Adeel
27
35
0
09 Feb 2022
Learning Representation from Neural Fisher Kernel with Low-rank Approximation
Ruixiang Zhang
Shuangfei Zhai
Etai Littwin
J. Susskind
SSL
36
3
0
04 Feb 2022
Efficient Embedding of Semantic Similarity in Control Policies via Entangled Bisimulation
Martín Bertrán
Walter A. Talbott
Nitish Srivastava
J. Susskind
47
3
0
28 Jan 2022
Informative Pseudo-Labeling for Graph Neural Networks with Few Labels
Yayong Li
Jie Yin
Ling-Hao Chen
27
33
0
20 Jan 2022
Transferability in Deep Learning: A Survey
Junguang Jiang
Yang Shu
Jianmin Wang
Mingsheng Long
OOD
34
101
0
15 Jan 2022
Robust Contrastive Learning against Noisy Views
Ching-Yao Chuang
R. Devon Hjelm
Xin Eric Wang
Vibhav Vineet
Neel Joshi
Antonio Torralba
Stefanie Jegelka
Ya-heng Song
NoLa
16
68
0
12 Jan 2022
Sound and Visual Representation Learning with Multiple Pretraining Tasks
A. Vasudevan
Dengxin Dai
Luc Van Gool
SSL
38
6
0
04 Jan 2022
Representation Learning via Consistent Assignment of Views to Clusters
T. Silva
Adín Ramirez Rivera
SSL
19
8
0
31 Dec 2021
Disentanglement and Generalization Under Correlation Shifts
Christina M. Funke
Paul Vicol
Kuan-Chieh Jackson Wang
Matthias Kümmerer
R. Zemel
Matthias Bethge
OOD
39
7
0
29 Dec 2021
Computationally Efficient Approximations for Matrix-based Renyi's Entropy
Tieliang Gong
Yuxin Dong
Shujian Yu
B. Dong
72
2
0
27 Dec 2021
How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial Robustness?
Xinhsuai Dong
Anh Tuan Luu
Min Lin
Shuicheng Yan
Hanwang Zhang
SILM
AAML
25
55
0
22 Dec 2021
Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation
K. Chaitanya
Ertunc Erdil
Neerav Karani
E. Konukoglu
SSL
22
121
0
17 Dec 2021
Semantic-Based Few-Shot Learning by Interactive Psychometric Testing
Lu Yin
Vlado Menkovski
Yulong Pei
Mykola Pechenizkiy
27
1
0
16 Dec 2021
CoCo-BERT: Improving Video-Language Pre-training with Contrastive Cross-modal Matching and Denoising
Jianjie Luo
Yehao Li
Yingwei Pan
Ting Yao
Hongyang Chao
Tao Mei
VLM
18
41
0
14 Dec 2021
CLIP-Lite: Information Efficient Visual Representation Learning with Language Supervision
A. Shrivastava
Ramprasaath R. Selvaraju
Nikhil Naik
Vicente Ordonez
VLM
CLIP
30
6
0
14 Dec 2021
Multi-Modal Mutual Information Maximization: A Novel Approach for Unsupervised Deep Cross-Modal Hashing
Tuan Hoang
Thanh-Toan Do
Tam V. Nguyen
Ngai-man Cheung
22
26
0
13 Dec 2021
Semi-Supervised Contrastive Learning for Remote Sensing: Identifying Ancient Urbanization in the South Central Andes
Jiachen Xu
Junlin Guo
James Zimmer-Dauphinee
Quan Liu
Yuxuan Shi
Zuhayr Asad
D. Mitchell Wilkes
Parker VanValkenburgh
Steven A. Wernke
Yuankai Huo
SSL
24
2
0
13 Dec 2021
Self-Supervised Modality-Aware Multiple Granularity Pre-Training for RGB-Infrared Person Re-Identification
Lin Wan
Qianyan Jing
Zongyuan Sun
Chuan Zhang
Zhihang Li
Yehansen Chen
SSL
17
5
0
12 Dec 2021
A Unified Framework for Multi-distribution Density Ratio Estimation
Lantao Yu
Yujia Jin
Stefano Ermon
21
4
0
07 Dec 2021
Joint Learning of Localized Representations from Medical Images and Reports
Philipp Muller
Georgios Kaissis
Cong Zou
Daniel Munich
140
81
0
06 Dec 2021
Representation Learning for Conversational Data using Discourse Mutual Information Maximization
Bishal Santra
Sumegh Roychowdhury
Aishik Mandal
Vasu Gurram
Atharva Naik
Manish Gupta
Pawan Goyal
SSL
27
4
0
04 Dec 2021
GANORCON: Are Generative Models Useful for Few-shot Segmentation?
Oindrila Saha
Zezhou Cheng
Subhransu Maji
47
17
0
01 Dec 2021
CLAWS: Contrastive Learning with hard Attention and Weak Supervision
Jansel Herrera-Gerena
Ramakrishnan Sundareswaran
John Just
Matthew J. Darr
Ali Jannesari
SSL
43
2
0
01 Dec 2021
Molecular Contrastive Learning with Chemical Element Knowledge Graph
Yin Fang
Qiang Zhang
Haihong Yang
Xiang Zhuang
Shumin Deng
Wen Zhang
Minghai Qin
Zhuo Chen
Xiaohui Fan
Huajun Chen
15
109
0
01 Dec 2021
MC-SSL0.0: Towards Multi-Concept Self-Supervised Learning
Sara Atito
Muhammad Awais
Ammarah Farooq
Zhenhua Feng
J. Kittler
19
17
0
30 Nov 2021
A Practical Contrastive Learning Framework for Single-Image Super-Resolution
Gang Wu
Junjun Jiang
Xianming Liu
49
50
0
27 Nov 2021
Data Invariants to Understand Unsupervised Out-of-Distribution Detection
Lars Doorenbos
Raphael Sznitman
Pablo Márquez-Neila
OODD
27
6
0
26 Nov 2021
Causality-inspired Single-source Domain Generalization for Medical Image Segmentation
Cheng Ouyang
Chen Chen
Surui Li
Zeju Li
C. Qin
Wenjia Bai
Daniel Rueckert
OOD
37
156
0
24 Nov 2021
Towards Graph Self-Supervised Learning with Contrastive Adjusted Zooming
Yizhen Zheng
Ming Jin
Shirui Pan
Yuan-Fang Li
Hao Peng
Ming Li
Zhao‐Rui Li
SSL
38
24
0
20 Nov 2021
Discovering and Explaining the Representation Bottleneck of DNNs
Huiqi Deng
Qihan Ren
Hao Zhang
Quanshi Zhang
42
59
0
11 Nov 2021
Dual Prototypical Contrastive Learning for Few-shot Semantic Segmentation
Hyeongjun Kwon
Somi Jeong
Sunok Kim
Kwanghoon Sohn
VLM
37
10
0
09 Nov 2021
Towards the Generalization of Contrastive Self-Supervised Learning
Weiran Huang
Mingyang Yi
Xuyang Zhao
Zihao Jiang
SSL
23
108
0
01 Nov 2021
Barlow Graph Auto-Encoder for Unsupervised Network Embedding
R. A. Khan
M. Kleinsteuber
SSL
25
3
0
29 Oct 2021
Self-Supervised Learning Disentangled Group Representation as Feature
Tan Wang
Zhongqi Yue
Jianqiang Huang
Qianru Sun
Hanwang Zhang
OOD
36
67
0
28 Oct 2021
Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning
Aakash Kaku
Sahana Upadhya
N. Razavian
SSL
21
29
0
27 Oct 2021
Contrastive Learning for Neural Topic Model
Thong Nguyen
A. Luu
31
56
0
25 Oct 2021
CLLD: Contrastive Learning with Label Distance for Text Classification
Jinhe Lan
Qingyuan Zhan
Chenhao Jiang
Kunping Yuan
Desheng Wang
VLM
34
2
0
25 Oct 2021
MUSE: Feature Self-Distillation with Mutual Information and Self-Information
Yunpeng Gong
Ye Yu
Gaurav Mittal
Greg Mori
Mei Chen
SSL
32
2
0
25 Oct 2021
Learning Speaker Representation with Semi-supervised Learning approach for Speaker Profiling
Shangeth Rajaa
Pham Van Tung
Chng Eng Siong
43
5
0
24 Oct 2021
Contrastively Disentangled Sequential Variational Autoencoder
M. Kiener
Weiran Wang
Michael Gerndt
CoGe
DRL
34
40
0
22 Oct 2021
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