ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1808.06670
  4. Cited By
Learning deep representations by mutual information estimation and
  maximization

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
ArXivPDFHTML

Papers citing "Learning deep representations by mutual information estimation and maximization"

50 / 517 papers shown
Title
Patch-wise Contrastive Style Learning for Instagram Filter Removal
Patch-wise Contrastive Style Learning for Instagram Filter Removal
Furkan Kinli
B. Özcan
Mustafa Furkan Kıraç
16
7
0
15 Apr 2022
Joint Distribution Matters: Deep Brownian Distance Covariance for
  Few-Shot Classification
Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification
Jiangtao Xie
Fei Long
Jiaming Lv
Qilong Wang
P. Li
23
160
0
09 Apr 2022
Self-Labeling Refinement for Robust Representation Learning with
  Bootstrap Your Own Latent
Self-Labeling Refinement for Robust Representation Learning with Bootstrap Your Own Latent
Siddhant Garg
Dhruval Jain
SSL
45
0
0
09 Apr 2022
Attribute Prototype Network for Any-Shot Learning
Attribute Prototype Network for Any-Shot Learning
Wenjia Xu
Yongqin Xian
Jiuniu Wang
Bernt Schiele
Zeynep Akata
VLM
29
37
0
04 Apr 2022
Diverse Preference Augmentation with Multiple Domains for Cold-start
  Recommendations
Diverse Preference Augmentation with Multiple Domains for Cold-start Recommendations
Yan Zhang
Changyu Li
Ivor W. Tsang
Hui Xu
Lixin Duan
Hongzhi Yin
Wen Li
Jie Shao
23
9
0
01 Apr 2022
Weakly-supervised Temporal Path Representation Learning with Contrastive
  Curriculum Learning -- Extended Version
Weakly-supervised Temporal Path Representation Learning with Contrastive Curriculum Learning -- Extended Version
Sean Bin Yang
Chenjuan Guo
Jilin Hu
B. Yang
Jiangtao Tang
Christian S. Jensen
25
20
0
30 Mar 2022
Temporal Feature Alignment and Mutual Information Maximization for
  Video-Based Human Pose Estimation
Temporal Feature Alignment and Mutual Information Maximization for Video-Based Human Pose Estimation
Zhenguang Liu
Runyang Feng
Haoming Chen
Shuang Wu
Yixing Gao
Yunjun Gao
Xiang Wang
30
42
0
29 Mar 2022
Locality-Aware Inter-and Intra-Video Reconstruction for Self-Supervised
  Correspondence Learning
Locality-Aware Inter-and Intra-Video Reconstruction for Self-Supervised Correspondence Learning
Liulei Li
Tianfei Zhou
Wenguan Wang
Lu Yang
Jian-Wei Li
Yi Yang
SSL
30
47
0
27 Mar 2022
Chaos is a Ladder: A New Theoretical Understanding of Contrastive
  Learning via Augmentation Overlap
Chaos is a Ladder: A New Theoretical Understanding of Contrastive Learning via Augmentation Overlap
Yifei Wang
Qi Zhang
Yisen Wang
Jiansheng Yang
Zhouchen Lin
27
98
0
25 Mar 2022
Multi-scale and Cross-scale Contrastive Learning for Semantic
  Segmentation
Multi-scale and Cross-scale Contrastive Learning for Semantic Segmentation
Theodoros Pissas
Claudio S. Ravasio
L. Cruz
Christos Bergeles
25
15
0
25 Mar 2022
Object discovery and representation networks
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
MetAug: Contrastive Learning via Meta Feature Augmentation
Jiangmeng Li
Jingyao Wang
Changwen Zheng
Bing-Huang Su
Hui Xiong
22
23
0
10 Mar 2022
Discriminability-Transferability Trade-Off: An Information-Theoretic
  Perspective
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
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
35
106
0
02 Mar 2022
Understanding Contrastive Learning Requires Incorporating Inductive
  Biases
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
24
109
0
28 Feb 2022
Efficient Attribute Unlearning: Towards Selective Removal of Input
  Attributes from Feature Representations
Efficient Attribute Unlearning: Towards Selective Removal of Input Attributes from Feature Representations
Tao Guo
Song Guo
Jiewei Zhang
Wenchao Xu
Junxiao Wang
MU
27
17
0
27 Feb 2022
Vision-Language Pre-Training with Triple Contrastive Learning
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
29
289
0
21 Feb 2022
Task-Agnostic Graph Explanations
Task-Agnostic Graph Explanations
Yaochen Xie
S. Katariya
Xianfeng Tang
E-Wen Huang
Nikhil S. Rao
Karthik Subbian
Shuiwang Ji
43
25
0
16 Feb 2022
A Differential Entropy Estimator for Training Neural Networks
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
Conditional Contrastive Learning with Kernel
Yao-Hung Hubert Tsai
Tianqi Li
Martin Q. Ma
Han Zhao
Anton van den Hengel
Louis-Philippe Morency
Ruslan Salakhutdinov
19
25
0
11 Feb 2022
Informative Pseudo-Labeling for Graph Neural Networks with Few Labels
Informative Pseudo-Labeling for Graph Neural Networks with Few Labels
Yayong Li
Jie Yin
Ling-Hao Chen
19
33
0
20 Jan 2022
Transferability in Deep Learning: A Survey
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
Robust Contrastive Learning against Noisy Views
Ching-Yao Chuang
R. Devon Hjelm
Xin Wang
Vibhav Vineet
Neel Joshi
Antonio Torralba
Stefanie Jegelka
Ya-heng Song
NoLa
13
68
0
12 Jan 2022
Sound and Visual Representation Learning with Multiple Pretraining Tasks
Sound and Visual Representation Learning with Multiple Pretraining Tasks
A. Vasudevan
Dengxin Dai
Luc Van Gool
SSL
33
6
0
04 Jan 2022
Representation Learning via Consistent Assignment of Views to Clusters
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
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
Computationally Efficient Approximations for Matrix-based Renyi's Entropy
Tieliang Gong
Yuxin Dong
Shujian Yu
B. Dong
67
2
0
27 Dec 2021
How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial
  Robustness?
How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial Robustness?
Xinhsuai Dong
Anh Tuan Luu
Min-Bin Lin
Shuicheng Yan
Hanwang Zhang
SILM
AAML
20
55
0
22 Dec 2021
CLIP-Lite: Information Efficient Visual Representation Learning with
  Language Supervision
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
Semi-Supervised Contrastive Learning for Remote Sensing: Identifying
  Ancient Urbanization in the South Central Andes
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
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
A Unified Framework for Multi-distribution Density Ratio Estimation
Lantao Yu
Yujia Jin
Stefano Ermon
11
4
0
07 Dec 2021
Joint Learning of Localized Representations from Medical Images and
  Reports
Joint Learning of Localized Representations from Medical Images and Reports
Philipp Muller
Georgios Kaissis
Cong Zou
Daniel Munich
137
81
0
06 Dec 2021
Representation Learning for Conversational Data using Discourse Mutual
  Information Maximization
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
21
4
0
04 Dec 2021
GANORCON: Are Generative Models Useful for Few-shot Segmentation?
GANORCON: Are Generative Models Useful for Few-shot Segmentation?
Oindrila Saha
Zezhou Cheng
Subhransu Maji
34
17
0
01 Dec 2021
CLAWS: Contrastive Learning with hard Attention and Weak Supervision
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
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
108
0
01 Dec 2021
MC-SSL0.0: Towards Multi-Concept Self-Supervised Learning
MC-SSL0.0: Towards Multi-Concept Self-Supervised Learning
Sara Atito
Muhammad Awais
Ammarah Farooq
Zhenhua Feng
J. Kittler
17
17
0
30 Nov 2021
A Practical Contrastive Learning Framework for Single-Image
  Super-Resolution
A Practical Contrastive Learning Framework for Single-Image Super-Resolution
Gang Wu
Junjun Jiang
Xianming Liu
44
50
0
27 Nov 2021
Data Invariants to Understand Unsupervised Out-of-Distribution Detection
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
Causality-inspired Single-source Domain Generalization for Medical Image Segmentation
Cheng Ouyang
C. L. P. Chen
Surui Li
Zeju Li
C. Qin
Wenjia Bai
Daniel Rueckert
OOD
30
155
0
24 Nov 2021
Towards Graph Self-Supervised Learning with Contrastive Adjusted Zooming
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
33
24
0
20 Nov 2021
Discovering and Explaining the Representation Bottleneck of DNNs
Discovering and Explaining the Representation Bottleneck of DNNs
Huiqi Deng
Qihan Ren
Hao Zhang
Quanshi Zhang
39
59
0
11 Nov 2021
Dual Prototypical Contrastive Learning for Few-shot Semantic
  Segmentation
Dual Prototypical Contrastive Learning for Few-shot Semantic Segmentation
Hyeongjun Kwon
Somi Jeong
Sunok Kim
Kwanghoon Sohn
VLM
28
10
0
09 Nov 2021
Towards the Generalization of Contrastive Self-Supervised Learning
Towards the Generalization of Contrastive Self-Supervised Learning
Weiran Huang
Mingyang Yi
Xuyang Zhao
Zihao Jiang
SSL
21
106
0
01 Nov 2021
Barlow Graph Auto-Encoder for Unsupervised Network Embedding
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
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
Contrastive Learning for Neural Topic Model
Contrastive Learning for Neural Topic Model
Thong Nguyen
A. Luu
26
56
0
25 Oct 2021
CLLD: Contrastive Learning with Label Distance for Text Classification
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
MUSE: Feature Self-Distillation with Mutual Information and Self-Information
Yunpeng Gong
Ye Yu
Gaurav Mittal
Greg Mori
Mei Chen
SSL
28
2
0
25 Oct 2021
Previous
123456...91011
Next