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2005.01123
Cited By
Mutual Information Gradient Estimation for Representation Learning
International Conference on Learning Representations (ICLR), 2020
3 May 2020
Liangjiang Wen
Yiji Zhou
Lirong He
Mingyuan Zhou
Zenglin Xu
DRL
SSL
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Papers citing
"Mutual Information Gradient Estimation for Representation Learning"
20 / 20 papers shown
InfMasking: Unleashing Synergistic Information by Contrastive Multimodal Interactions
Liangjian Wen
Qun Dai
Jianzhuang Liu
Jiangtao Zheng
Yong Dai
Dongkai Wang
Zhao Kang
Jun Wang
Z. Xu
Jiang Duan
327
1
0
28 Sep 2025
FindRec: Stein-Guided Entropic Flow for Multi-Modal Sequential Recommendation
Xinjian Zhao
Yutian Xiao
Binhao Wang
Sheng Zhang
Shanshan Ye
Wanyu Wang
Hongzhi Yin
Ruocheng Guo
Zenglin Xu
284
9
0
07 Jul 2025
The Hidden Link Between RLHF and Contrastive Learning
Xufei Lv
Kehai Chen
Haoyuan Sun
X. Bai
Min Zhang
Houde Liu
Kehai Chen
287
4
0
27 Jun 2025
A Deep Bayesian Nonparametric Framework for Robust Mutual Information Estimation
Forough Fazeliasl
Michael Minyi Zhang
Bei Jiang
Linglong Kong
269
0
0
13 Mar 2025
Beyond Redundancy: Information-aware Unsupervised Multiplex Graph Structure Learning
Neural Information Processing Systems (NeurIPS), 2024
Zhixiang Shen
Shuo Wang
Zhao Kang
378
30
0
25 Sep 2024
MVEB: Self-Supervised Learning with Multi-View Entropy Bottleneck
Liangjiang Wen
Xiasi Wang
Jianzhuang Liu
Zenglin Xu
260
13
0
28 Mar 2024
Privacy for Fairness: Information Obfuscation for Fair Representation Learning with Local Differential Privacy
Songjie Xie
Youlong Wu
Jiaxuan Li
Ming Ding
Khaled B. Letaief
AAML
224
3
0
16 Feb 2024
AI-based association analysis for medical imaging using latent-space geometric confounder correction
Xianjing Liu
Yue Liu
Meike W. Vernooij
E. Wolvius
Gennady V. Roshchupkin
Esther E. Bron
MedIm
407
2
0
03 Oct 2023
Provable Dynamic Fusion for Low-Quality Multimodal Data
International Conference on Machine Learning (ICML), 2023
Qingyang Zhang
Haitao Wu
Changqing Zhang
Qinghua Hu
Huazhu Fu
Qiufeng Wang
Xi Peng
368
140
0
03 Jun 2023
Self-Supervision Can Be a Good Few-Shot Learner
European Conference on Computer Vision (ECCV), 2022
Yuning Lu
Liangjiang Wen
Jianzhuang Liu
Yajing Liu
Xinmei Tian
SSL
292
55
0
19 Jul 2022
AutoTransfer: Subject Transfer Learning with Censored Representations on Biosignals Data
Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2021
Niklas Smedemark-Margulies
Ye Wang
T. Koike-Akino
Deniz Erdogmus
OOD
304
5
0
17 Dec 2021
Tight Mutual Information Estimation With Contrastive Fenchel-Legendre Optimization
Qing Guo
Junya Chen
Dong Wang
Yuewei Yang
Xinwei Deng
Lawrence Carin
Fan Li
Jing-Zheng Huang
Chenyang Tao
382
24
0
02 Jul 2021
Stochastic Mutual Information Gradient Estimation for Dimensionality Reduction Networks
Information Sciences (Inf. Sci.), 2021
Ozan Özdenizci
Deniz Erdogmus
194
18
0
01 May 2021
Cross-modal Image Retrieval with Deep Mutual Information Maximization
Neurocomputing (Neurocomputing), 2021
Chunbin Gu
Jiajun Bu
Xixi Zhou
Chengwei Yao
Dongfang Ma
Zhi Yu
Xifeng Yan
231
19
0
10 Mar 2021
A Quantitative Metric for Privacy Leakage in Federated Learning
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021
Y. Liu
Xinghua Zhu
Jianzong Wang
Jing Xiao
FedML
242
23
0
24 Feb 2021
Combating the Instability of Mutual Information-based Losses via Regularization
Conference on Uncertainty in Artificial Intelligence (UAI), 2020
Kwanghee Choi
Siyeong Lee
AAML
480
6
0
16 Nov 2020
Neural Approximate Sufficient Statistics for Implicit Models
International Conference on Learning Representations (ICLR), 2020
Yanzhi Chen
Dinghuai Zhang
Michael U. Gutmann
Aaron Courville
Zhanxing Zhu
622
97
0
20 Oct 2020
AR-DAE: Towards Unbiased Neural Entropy Gradient Estimation
Jae Hyun Lim
Aaron Courville
C. Pal
Chin-Wei Huang
DRL
271
25
0
09 Jun 2020
Nonparametric Score Estimators
Yuhao Zhou
Jiaxin Shi
Jun Zhu
332
30
0
20 May 2020
Bidirectional Generative Modeling Using Adversarial Gradient Estimation
Xinwei Shen
Tong Zhang
Kani Chen
GAN
295
9
0
21 Feb 2020
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