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Aniket Anand Deshmukh
Aniket Anand Deshmukh
Microsoft
Verified email at umich.edu - Homepage
Title
Cited by
Cited by
Year
Domain Generalization by Marginal Transfer Learning
G Blanchard, AA Deshmukh, U Dogan, G Lee, C Scott
Journal of Machine Learning Research 22 (2), 1-55, 2021
802021
Multi-task learning for contextual bandits
AA Deshmukh, U Dogan, C Scott
Advances in Neural Information Processing Systems, 4848-4856, 2017
662017
A Generalization Error Bound for Multi-class Domain Generalization
AA Deshmukh, Y Lei, S Sharma, U Dogan, JW Cutler, C Scott
arXiv preprint arXiv:1905.10392, 2019
182019
Simple Regret Minimization for Contextual Bandits
AA Deshmukh, S Sharma, JW Cutler, M Moldwin, C Scott
Exploration in RL, ICML 2019 workshop arXiv preprint arXiv:1810.07371, 2018
122018
Zero Shot Domain Generalization
U Maniyar, AA Deshmukh, U Dogan, VN Balasubramanian
British machine vision conference 2020 arXiv preprint arXiv:2008.07443, 2020
112020
Consensus Clustering with Unsupervised Representation Learning
JR Regatti, AA Deshmukh, E Manavoglu, U Dogan
IJCNN 2021 arXiv preprint arXiv:2010.01245, 2020
82020
Domain2Vec: Deep Domain Generalization
AA Deshmukh, A Bansal, A Rastogi
arXiv preprint arXiv:1807.02919, 2018
82018
Label-similarity Curriculum Learning
U Dogan, AA Deshmukh, M Machura, C Igel
European Conference on Computer Vision, 174--190, 2020
72020
Multiclass domain generalization
AA Deshmukh, S Sharma, JW Cutler, C Scott
NeurIPS workshop on limited labeled data, 2017
62017
Representation Learning for Clustering via Building Consensus
AA Deshmukh, JR Regatti, E Manavoglu, U Dogan
Springer Maching Learning Journal, 2021
52021
Semi-Supervised Transfer Learning Using Marginal Predictors
AA Deshmukh, E Laftchiev
2018 IEEE Data Science Workshop (DSW), 160-164, 2018
52018
PAC Reinforcement Learning without Real-World Feedback
Y Zhong, AA Deshmukh, C Scott
arXiv preprint arXiv:1909.10449, 2019
32019
Head and Tail Localization of C. elegans
M Mane, AA Deshmukh, A Iliff
ICML Workshop on Computational Biology, 2019
32019
Kernel Approximation
AA Deshmukh
Ann Arbor 1001, 48105, 2015
32015
Input-Output Logic based Fault-Tolerant Design Technique for SRAM-based FPGAs
AS Timmaraju, AA Deshmukh, MA Khan, ZA Khan
arXiv preprint arXiv:1311.0602, 2013
32013
Self-Supervised Contextual Bandits in Computer Vision
AA Deshmukh, A Kumar, L Boyles, D Charles, E Manavoglu, U Dogan
arXiv preprint arXiv:2003.08485, 2020
22020
Machine Learning Algorithms for Spacecraft Magnetic Field Interference Cancellation: Enabling Satellite Magnetometry without a Boom
JC Mark Moldwin, Srinagesh Sharma, Aniket Anand Deshmukh, Clayton Scott
AGU Fall Meeting 2018, 2018
2*2018
Data Transformation Insights in Self-supervision with Clustering Tasks
A Kumar, AA Deshmukh, U Dogan, D Charles, E Manavoglu
NeurIPS 2020 Workshop: Self-Supervised Learning - Theory and Practice arXiv …, 2020
12020
Kernel Methods for Learning with Limited Labeled Data
AA Deshmukh
12019
Hyperparameter Selection for Multi-armed Bandit Problems
A Deshmukh, F Wei, C Scott
The 3rd Annual Michigan Institute for Data Science Symposium, 2017
12017
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Articles 1–20