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Exponentiated Gradient Reweighting for Robust Training Under Label Noise and Beyond


Apr 03, 2021
Negin Majidi, Ehsan Amid, Hossein Talebi, Manfred K. Warmuth


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Privacy-Preserving Wireless Federated Learning Exploiting Inherent Hardware Impairments


Feb 21, 2021
Sina Rezaei Aghdam, Ehsan Amid, Marija Furdek, Alexandre Graell i Amat


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Rank-smoothed Pairwise Learning In Perceptual Quality Assessment


Nov 21, 2020
Hossein Talebi, Ehsan Amid, Peyman Milanfar, Manfred K. Warmuth

* IEEE International Conference on Image Processing (ICIP) 2020 

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Measuring and Harnessing Transference in Multi-Task Learning


Oct 29, 2020
Christopher Fifty, Ehsan Amid, Zhe Zhao, Tianhe Yu, Rohan Anil, Chelsea Finn


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A case where a spindly two-layer linear network whips any neural network with a fully connected input layer


Oct 16, 2020
Manfred K. Warmuth, Wojciech Kotłowski, Ehsan Amid


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Interpolating Between Gradient Descent and Exponentiated Gradient Using Reparameterized Gradient Descent


Feb 24, 2020
Ehsan Amid, Manfred K. Warmuth


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TriMap: Large-scale Dimensionality Reduction Using Triplets


Oct 01, 2019
Ehsan Amid, Manfred K. Warmuth


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An Implicit Form of Krasulina's k-PCA Update without the Orthonormality Constraint


Sep 11, 2019
Ehsan Amid, Manfred K. Warmuth


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Robust Bi-Tempered Logistic Loss Based on Bregman Divergences


Jun 08, 2019
Ehsan Amid, Manfred K. Warmuth, Rohan Anil, Tomer Koren


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Divergence-Based Motivation for Online EM and Combining Hidden Variable Models


Feb 11, 2019
Ehsan Amid, Manfred K. Warmuth


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A more globally accurate dimensionality reduction method using triplets


Mar 01, 2018
Ehsan Amid, Manfred K. Warmuth


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Two-temperature logistic regression based on the Tsallis divergence


May 19, 2017
Ehsan Amid, Manfred K. Warmuth


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Low-dimensional Data Embedding via Robust Ranking


May 16, 2017
Ehsan Amid, Nikos Vlassis, Manfred K. Warmuth


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Semi-supervised Kernel Metric Learning Using Relative Comparisons


Dec 03, 2016
Ehsan Amid, Aristides Gionis, Antti Ukkonen


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