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Ashok Chandrashekar
Ashok Chandrashekar
WarnerMedia
E-mailová adresa ověřena na: warnermedia.com - Domovská stránka
Název
Citace
Citace
Rok
Artwork personalization at Netflix
A Chandrashekar, F Amat, J Basilico, T Jebara
Netflix technology blog 7, 2017
94*2017
Artwork personalization at Netflix
F Amat, A Chandrashekar, T Jebara, J Basilico
Proceedings of the 12th ACM conference on recommender systems, 487-488, 2018
622018
Image clustering
C Zitnick, R Sagula, A Chandrashekar
US Patent 8,625,907, 2014
402014
Learning representations of hierarchical slates in collaborative filtering
E Elahi, A Chandrashekar
Proceedings of the 14th ACM Conference on Recommender Systems, 703-707, 2020
122020
Derivation of a novel efficient supervised learning algorithm from cortical-subcortical loops
A Chandrashekar, R Granger
Frontiers in computational neuroscience 5, 50, 2012
112012
Accelerating brain circuit simulations of object recognition with cell processors
A Felch, JM Nageswaran, A Chandrashekar, J Furlong, N Dutt, R Granger, ...
Innovative architecture for future generation high-performance processors …, 2007
112007
Novel Brain-Derived Algorithms Scale Linearly with Number of Processing Elements.
J Furlong, A Felch, JM Nageswaran, ND Dutt, A Nicolau, AV Veidenbaum, ...
PARCO, 767-776, 2007
92007
On the bias-variance characteristics of lime and shap in high sparsity movie recommendation explanation tasks
CV Roberts, E Elahi, A Chandrashekar
arXiv preprint arXiv:2206.04784, 2022
82022
Control variates for slate off-policy evaluation
N Vlassis, A Chandrashekar, F Amat, N Kallus
Advances in Neural Information Processing Systems 34, 3667-3679, 2021
72021
Learning what is where from unlabeled images: joint localization and clustering of foreground objects
A Chandrashekar, L Torresani, R Granger
Machine learning 94, 261-279, 2014
62014
Off-Policy Evaluation of Slate Policies under Bayes Risk
N Vlassis, FA Gil, A Chandrashekar
arXiv preprint arXiv:2101.02553, 2021
42021
Bias-variance decomposition for ranking
P Shivaswamy, A Chandrashekar
Proceedings of the 14th ACM International Conference on Web Search and Data …, 2021
32021
On Negative Sampling for Audio-Visual Contrastive Learning from Movies
MMKSA LingyiLiu, N Kamath, A Chandrashekar
3*
Watching too much television is good: Self-supervised audio-visual representation learning from movies and tv shows
MM Kalayeh, N Kamath, L Liu, A Chandrashekar
arXiv preprint arXiv:2106.08513, 2021
22021
Accelerating brain circuit simulations of object recognition with a Sony PlayStation 3
JM Nageswaran, A Felch, A Chandrashekar, J Furlong, N Dutt, A Nicolau, ...
Int. Workshop on Innovative Architecture for Future Generation …, 2007
12007
CLIME: Completeness-Constrained LIME
C Roberts, E Elahi, A Chandrashekar
Companion Proceedings of the ACM Web Conference 2023, 950-958, 2023
2023
Combining biological and statistical learning principles for minimally supervised object recognition
A Chandrashekar
Dartmouth College, 2013
2013
Accelerating Brain Circuit Simulation for the Real World
AC Felch, A Chandrashekar, J Moorkanikara Nageswaran, J Furlong, ...
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Články 1–18