MINE: Mutual Information Neural Estimation

12 January 2018

Mohamed Ishmael Belghazi

Aaron Courville

Papers citing "MINE: Mutual Information Neural Estimation"

50 / 632 papers shown

Title
Decompose to Adapt: Cross-domain Object Detection via Feature Disentanglement Dongnan Liu Chaoyi Zhang Yang Song Heng Huang Chenyu Wang Michael Barnett Weidong (Tom) Cai 18 37 0 06 Jan 2022
Bringing Your Own View: Graph Contrastive Learning without Prefabricated Data Augmentations Yuning You Tianlong Chen Zhangyang Wang Yang Shen SSL 27 61 0 04 Jan 2022
Computationally Efficient Approximations for Matrix-based Renyi's Entropy Tieliang Gong Yuxin Dong Shujian Yu B. Dong 67 2 0 27 Dec 2021
Disentanglement by Cyclic Reconstruction David Bertoin Emmanuel Rachelson OOD 21 4 0 24 Dec 2021
Improving Subgraph Recognition with Variational Graph Information Bottleneck Junchi Yu Jie Cao Ran He 22 53 0 18 Dec 2021
Graph Structure Learning with Variational Information Bottleneck Qingyun Sun Jianxin Li Hao Peng Jia Wu Xingcheng Fu Cheng Ji Philip S. Yu 41 154 0 16 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 17 26 0 13 Dec 2021
PACMAN: PAC-style bounds accounting for the Mismatch between Accuracy and Negative log-loss Matías Vera L. Rey Vega Pablo Piantanida 23 0 0 10 Dec 2021
Robust Speech Representation Learning via Flow-based Embedding Regularization Woohyun Kang Jahangir Alam A. Fathan 29 3 0 07 Dec 2021
Encouraging Disentangled and Convex Representation with Controllable Interpolation Regularization Yunhao Ge Zhi-Qin John Xu Yao Xiao Gan Xin Yunkui Pang Laurent Itti 40 3 0 06 Dec 2021
MDPFuzz: Testing Models Solving Markov Decision Processes Qi Pang Yuanyuan Yuan Shuai Wang 20 27 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 24 4 0 04 Dec 2021
Density Ratio Estimation via Infinitesimal Classification Kristy Choi Chenlin Meng Yang Song Stefano Ermon 14 38 0 22 Nov 2021
Lifelong Vehicle Trajectory Prediction Framework Based on Generative Replay Peng Bao Zonghai Chen Ji-kai Wang Deyun Dai Hao Zhao 33 9 0 15 Nov 2021
Neural Capacity Estimators: How Reliable Are They? Farhad Mirkarimi Stefano Rini Nariman Farsad 27 9 0 14 Nov 2021
Can Information Flows Suggest Targets for Interventions in Neural Circuits? Praveen Venkatesh Sanghamitra Dutta Neil Mehta P. Grover AAML 29 8 0 09 Nov 2021
Information-Theoretic Bias Assessment Of Learned Representations Of Pretrained Face Recognition Jiazhi Li Wael AbdAlmageed 13 6 0 08 Nov 2021
Estimating and Maximizing Mutual Information for Knowledge Distillation A. Shrivastava Yanjun Qi Vicente Ordonez 21 5 0 29 Oct 2021
Review-Based Domain Disentanglement without Duplicate Users or Contexts for Cross-Domain Recommendation Yoonhyuk Choi Jiho Choi Taewook Ko HyungHo Byun Qiongxiong Ma 24 15 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 30 2 0 25 Oct 2021
Learning Speaker Representation with Semi-supervised Learning approach for Speaker Profiling Shangeth Rajaa Pham Van Tung Chng Eng Siong 36 5 0 24 Oct 2021
CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP Andreas Fürst Elisabeth Rumetshofer Johannes Lehner Viet-Hung Tran Fei Tang ... David P. Kreil Michael K Kopp G. Klambauer Angela Bitto-Nemling Sepp Hochreiter VLM CLIP 207 102 0 21 Oct 2021
Quantifying the Task-Specific Information in Text-Based Classifications Zining Zhu Aparna Balagopalan Marzyeh Ghassemi Frank Rudzicz 42 4 0 17 Oct 2021
Learning Semantics: An Opportunity for Effective 6G Communications Mohamed Sana Emilio Calvanese Strinati 40 51 0 14 Oct 2021
Decoupled Contrastive Learning Chun-Hsiao Yeh Cheng-Yao Hong Yen-Chi Hsu Tyng-Luh Liu Yubei Chen Yann LeCun 183 183 0 13 Oct 2021
Gated Information Bottleneck for Generalization in Sequential Environments Francesco Alesiani Shujian Yu Xi Yu OOD AAML 19 13 0 12 Oct 2021
Information Theoretic Structured Generative Modeling Bo Hu Shujian Yu José C. Príncipe SyDa DRL 15 0 0 12 Oct 2021
On a Benefit of Mask Language Modeling: Robustness to Simplicity Bias Ting-Rui Chiang 32 3 0 11 Oct 2021
An Information-Theoretic Analysis of The Cost of Decentralization for Learning and Inference Under Privacy Constraints Sharu Theresa Jose Osvaldo Simeone FedML 18 0 0 11 Oct 2021
Batch-Softmax Contrastive Loss for Pairwise Sentence Scoring Tasks Anton Chernyavskiy Dmitry Ilvovsky Pavel Kalinin Preslav Nakov 27 7 0 10 Oct 2021
Braxlines: Fast and Interactive Toolkit for RL-driven Behavior Engineering beyond Reward Maximization S. Gu Manfred Diaz Daniel Freeman Hiroki Furuta Seyed Kamyar Seyed Ghasemipour Anton Raichuk Byron David Erik Frey Erwin Coumans Olivier Bachem 44 14 0 10 Oct 2021
Using multiple reference audios and style embedding constraints for speech synthesis Cheng Gong Longbiao Wang Zhenhua Ling Ju Zhang J. Dang 16 5 0 09 Oct 2021
3D Infomax improves GNNs for Molecular Property Prediction Hannes Stärk Dominique Beaini Gabriele Corso Prudencio Tossou Christian Dallago Stephan Günnemann Pietro Lió AI4CE 36 204 0 08 Oct 2021
Pre-training Molecular Graph Representation with 3D Geometry Shengchao Liu Hanchen Wang Weiyang Liu Joan Lasenby Hongyu Guo Jian Tang 126 302 0 07 Oct 2021
InfoSeg: Unsupervised Semantic Image Segmentation with Mutual Information Maximization Robert Harb Patrick Knobelreiter SSL 43 22 0 07 Oct 2021
The Information Geometry of Unsupervised Reinforcement Learning Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine SSL OffRL 61 31 0 06 Oct 2021
Reliable Estimation of KL Divergence using a Discriminator in Reproducing Kernel Hilbert Space S. Ghimire A. Masoomi Jennifer Dy 31 7 0 29 Sep 2021
Information-Bottleneck-Based Behavior Representation Learning for Multi-agent Reinforcement learning Yue Jin Shuangqing Wei Jian Yuan Xudong Zhang 22 3 0 29 Sep 2021
SemCal: Semantic LiDAR-Camera Calibration using Neural MutualInformation Estimator Peng-Tao Jiang Philip R. Osteen Srikanth Saripalli 27 16 0 21 Sep 2021
Cross Domain Robot Imitation with Invariant Representation Zhao-Heng Yin Lingfeng Sun Hengbo Ma Masayoshi Tomizuka Wu-Jun Li 24 13 0 13 Sep 2021
On Characterizing the Trade-off in Invariant Representation Learning Bashir Sadeghi Sepehr Dehdashtian Vishnu Naresh Boddeti 36 7 0 08 Sep 2021
Improving Multimodal Fusion with Hierarchical Mutual Information Maximization for Multimodal Sentiment Analysis Wei Han Hui Chen Soujanya Poria 37 316 0 01 Sep 2021
Efficient Person Search: An Anchor-Free Approach Yichao Yan Jinpeng Li Jie Qin Tianran Ouyang Xiaokang Yang 29 18 0 01 Sep 2021
Layer-wise Model Pruning based on Mutual Information Chun Fan Jiwei Li Xiang Ao Fei Wu Yuxian Meng Xiaofei Sun 46 19 0 28 Aug 2021
ProtoInfoMax: Prototypical Networks with Mutual Information Maximization for Out-of-Domain Detection Iftitahu Ni'mah Meng Fang Vlado Menkovski Mykola Pechenizkiy 35 5 0 27 Aug 2021
Learning Disentangled Representations in the Imaging Domain Xiao Liu Pedro Sanchez Spyridon Thermos Alison Q. OÑeil Sotirios A. Tsaftaris OOD DRL 32 71 0 26 Aug 2021
Revealing the Distributional Vulnerability of Discriminators by Implicit Generators Zhilin Zhao LongBing Cao Kun-Yu Lin 29 11 0 23 Aug 2021
DisenKGAT: Knowledge Graph Embedding with Disentangled Graph Attention Network Junkang Wu Wentao Shi Xuezhi Cao Jiawei Chen Wenqiang Lei Fuzheng Zhang Wei Wu Xiangnan He 24 66 0 22 Aug 2021
Neuron Campaign for Initialization Guided by Information Bottleneck Theory Haitao Mao Xu Chen Qiang Fu Lun Du Shi Han Dongmei Zhang AI4CE 13 10 0 14 Aug 2021