Suivre
Ehsan Amid
Ehsan Amid
Senior Research Scientist at Google DeepMind
Adresse e-mail validée de google.com - Page d'accueil
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Année
Gemini: a family of highly capable multimodal models
G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ...
arXiv preprint arXiv:2312.11805, 2023
3482023
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
1902021
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
1262019
TriMap: Large-scale dimensionality reduction using triplets
E Amid, MK Warmuth
arXiv preprint arXiv:1910.00204, 2019
1112019
Multiview triplet embedding: Learning attributes in multiple maps
E Amid, A Ukkonen
International Conference on Machine Learning, 1472-1480, 2015
812015
Public data-assisted mirror descent for private model training
E Amid, A Ganesh, R Mathews, S Ramaswamy, S Song, T Steinke, ...
International Conference on Machine Learning, 517-535, 2022
442022
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
412012
Reparameterizing Mirror Descent as Gradient Descent
E Amid, MK Warmuth
Advances in Neural Information Processing Systems 33 pre-proceedings …, 2020
322020
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
272012
Winnowing with Gradient Descent
E Amid, MK Warmuth
Conference on Learning Theory (COLT), 2020
262020
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
262015
Two-temperature logistic regression based on the Tsallis divergence
E Amid, MK Warmuth, S Srinivasan
International Conference on Artificial Intelligence and Statistics (AISTATS), 2019
252019
Locoprop: Enhancing backprop via local loss optimization
E Amid, R Anil, M Warmuth
International Conference on Artificial Intelligence and Statistics, 9626-9642, 2022
232022
To aggregate or not? learning with separate noisy labels
J Wei, Z Zhu, T Luo, E Amid, A Kumar, Y Liu
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023
192023
A more globally accurate dimensionality reduction method using triplets
E Amid, MK Warmuth
arXiv preprint arXiv:1803.00854, 2018
182018
Constrained instance and class reweighting for robust learning under label noise
A Kumar, E Amid
arXiv preprint arXiv:2111.05428, 2021
172021
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
152014
An Implicit Form of Krasulina's k-PCA Update without the Orthonormality Constraint
E Amid, MK Warmuth
AAAI Conference on Artificial Intelligence, 2020
142020
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
132021
PicSOM Experiments in TRECVID 2013.
S Ishikawa, M Koskela, M Sjöberg, J Laaksonen, E Oja, E Amid, ...
TRECVID, 2013
132013
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