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Ehsan Amid
Ehsan Amid
Research Scientist at Google Brain
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
Multiview triplet embedding: Learning attributes in multiple maps
E Amid, A Ukkonen
International Conference on Machine Learning, 1472-1480, 2015
682015
Robust bi-tempered logistic loss based on bregman divergences
E Amid, MK Warmuth, R Anil, T Koren
Advances in Neural Information Processing Systems 32 pre-proceedings …, 2019
672019
TriMap: Large-scale dimensionality reduction using triplets
E Amid, MK Warmuth
arXiv preprint arXiv:1910.00204, 2019
492019
A fast method of steel surface defect detection using decision trees applied to LBP based features
SR Aghdam, E Amid, MF Imani
2012 7th IEEE Conference on Industrial Electronics and Applications (ICIEA …, 2012
272012
A kernel-learning approach to semi-supervised clustering with relative distance comparisons
E Amid, A Gionis, A Ukkonen
European Conference on Machine Learning and Principles and Practice of …, 2015
222015
Enhanced performance for support vector machines as multiclass classifiers in steel surface defect detection
E Amid, SR Aghdam, H Amindavar
International Journal of Electrical and Computer Engineering 6 (7), 693-697, 2012
212012
Efficiently identifying task groupings for multi-task learning
C Fifty, E Amid, Z Zhao, T Yu, R Anil, C Finn
Advances in Neural Information Processing Systems 34, 27503-27516, 2021
182021
Two-temperature logistic regression based on the Tsallis divergence
E Amid, MK Warmuth, S Srinivasan
International Conference on Artificial Intelligence and Statistics (AISTATS), 2019
152019
Unsupervised feature extraction for multimedia event detection and ranking using audio content
E Amid, A Mesaros, KJ Palomäki, J Laaksonen, M Kurimo
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
142014
Reparameterizing Mirror Descent as Gradient Descent
E Amid, MK Warmuth
Advances in Neural Information Processing Systems 33 pre-proceedings …, 2020
122020
A more globally accurate dimensionality reduction method using triplets
E Amid, MK Warmuth
arXiv preprint arXiv:1803.00854, 2018
122018
PicSOM Experiments in TRECVID 2013.
S Ishikawa, M Koskela, M Sjöberg, J Laaksonen, E Oja, E Amid, ...
TRECVID, 2013
122013
Winnowing with Gradient Descent
E Amid, MK Warmuth
Conference on Learning Theory (COLT), 2020
112020
An Implicit Form of Krasulina's k-PCA Update without the Orthonormality Constraint
E Amid, MK Warmuth
AAAI Conference on Artificial Intelligence, 2020
102020
Semi-supervised kernel metric learning using relative comparisons
E Amid, A Gionis, A Ukkonen
arXiv preprint arXiv:1612.00086, 2016
102016
Measuring and harnessing transference in multi-task learning
C Fifty, E Amid, Z Zhao, T Yu, R Anil, C Finn
arXiv preprint arXiv:2010.15413, 2020
72020
Locoprop: Enhancing backprop via local loss optimization
E Amid, R Anil, M Warmuth
International Conference on Artificial Intelligence and Statistics, 9626-9642, 2022
62022
Exponentiated gradient reweighting for robust training under label noise and beyond
N Majidi, E Amid, H Talebi, MK Warmuth
arXiv preprint arXiv:2104.01493, 2021
62021
Divergence-based motivation for online EM and combining hidden variable models
E Amid, MK Warmuth
UAI: Uncertainty in Artificial Intelligence, 2020
52020
Low-dimensional data embedding via robust ranking
E Amid, N Vlassis, MK Warmuth
arXiv preprint arXiv:1611.09957, 2016
52016
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