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Trust but Verify: An Information-Theoretic Explanation for the Adversarial Fragility of Machine Learning Systems, and a General Defense against Adversarial Attacks

May 25, 2019
Jirong Yi, Hui Xie, Leixin Zhou, Xiaodong Wu, Weiyu Xu, Raghuraman Mudumbai

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Flow-based Deformation Guidance for Unpaired Multi-Contrast MRI Image-to-Image Translation

Dec 03, 2020
Toan Duc Bui, Manh Nguyen, Ngan Le, Khoa Luu

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Self-Supervised Domain Adaptation with Consistency Training

Oct 15, 2020
L. Xiao, J. Xu, D. Zhao, Z. Wang, L. Wang, Y. Nie, B. Dai

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Information Transfer in Swarms with Leaders

Jun 30, 2014
Yu Sun, Louis F. Rossi, Chien-Chung Shen, Jennifer Miller, X. Rosalind Wang, Joseph T. Lizier, Mikhail Prokopenko, Upul Senanayake

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Multi-Feature Multi-Scale CNN-Derived COVID-19 Classification from Lung Ultrasound Data

Feb 23, 2021
Hui Che, Jared Radbel, Jag Sunderram, John L. Nosher, Vishal M. Patel, Ilker Hacihaliloglu

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Information-Theoretic Methods for Identifying Relationships among Climate Variables

Dec 19, 2014
Kevin H. Knuth, Deniz Gençağa, William B. Rossow

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Parallel Residual Bi-Fusion Feature Pyramid Network for Accurate Single-Shot Object Detection

Dec 03, 2020
Ping-Yang Chen, Ming-Ching Chang, Jun-Wei Hsieh, Yong-Sheng Chen

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Double Coverage with Machine-Learned Advice

Mar 02, 2021
Alexander Lindermayr, Nicole Megow, Bertrand Simon

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Supervised Training of Dense Object Nets using Optimal Descriptors for Industrial Robotic Applications

Feb 16, 2021
Andras Kupcsik, Markus Spies, Alexander Klein, Marco Todescato, Nicolai Waniek, Philipp Schillinger, Mathias Buerger

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MC-LSTM: Mass-Conserving LSTM

Feb 08, 2021
Pieter-Jan Hoedt, Frederik Kratzert, Daniel Klotz, Christina Halmich, Markus Holzleitner, Grey Nearing, Sepp Hochreiter, Günter Klambauer

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