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Medini, Tharun
15  Ergebnisse:
Personensuche X
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1

BOLT: An Automated Deep Learning Framework for Training and..:

, In: Proceedings of the 32nd ACM International Conference on Information and Knowledge Management,
Meisburger, Nicholas ; Lakshman, Vihan ; Geordie, Benito... - p. 4738-4744 , 2023
Link: https://dl.acm.org/doi/1..
 
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2

From Research to Production: Towards Scalable and Sustainab..:

, In: Proceedings of the 17th ACM Conference on Recommender Systems,
Shrivastava, Anshumali ; Lakshman, Vihan ; Medini, Tharun... - p. 1071-1074 , 2023
Link: https://dl.acm.org/doi/1..
 
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3

BLISS: A Billion scale Index using Iterative Re-partitionin:

, In: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining,
Gupta, Gaurav ; Medini, Tharun ; Shrivastava, Anshumali. - p. 486-495 , 2022
Link: https://dl.acm.org/doi/1..
 
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4

Fast Processing and Querying of 170TB of Genomics Data via ..:

, In: Proceedings of the 2021 International Conference on Management of Data,
Gupta, Gaurav ; Yan, Minghao ; Coleman, Benjamin... - p. 2226-2234 , 2021
Link: https://dl.acm.org/doi/1..
 
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5

BOLT: An Automated Deep Learning Framework for Training and..:

Meisburger, Nicholas ; Lakshman, Vihan ; Geordie, Benito...
http://arxiv.org/abs/2303.17727.  , 2023
Link: http://arxiv.org/abs/230..
 
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6

Distributed SLIDE: Enabling Training Large Neural Networks ..:

Yan, Minghao ; Meisburger, Nicholas ; Medini, Tharun.
http://arxiv.org/abs/2201.12667.  , 2022
Link: http://arxiv.org/abs/220..
 
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7

IRLI: Iterative Re-partitioning for Learning to Index:

Gupta, Gaurav ; Medini, Tharun ; Shrivastava, Anshumali.
http://arxiv.org/abs/2103.09944.  , 2021
Link: http://arxiv.org/abs/210..
 
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8

SOLAR: Sparse Orthogonal Learned and Random Embeddings:

Medini, Tharun ; Chen, Beidi ; Shrivastava, Anshumali
http://arxiv.org/abs/2008.13225.  , 2020
Link: http://arxiv.org/abs/200..
 
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9

A Tale of Two Efficient and Informative Negative Sampling D..:

Daghaghi, Shabnam ; Medini, Tharun ; Meisburger, Nicholas...
http://arxiv.org/abs/2012.15843.  , 2020
Link: http://arxiv.org/abs/201..
 
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10

SDM-Net: A Simple and Effective Model for Generalized Zero-..:

Daghaghi, Shabnam ; Medini, Tharun ; Shrivastava, Anshumali
http://arxiv.org/abs/1909.04790.  , 2019
Link: http://arxiv.org/abs/190..
 
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11

SLIDE : In Defense of Smart Algorithms over Hardware Accele..:

Chen, Beidi ; Medini, Tharun ; Farwell, James...
http://arxiv.org/abs/1903.03129.  , 2019
Link: http://arxiv.org/abs/190..
 
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12

Extreme Classification in Log Memory using Count-Min Sketch..:

Medini, Tharun ; Huang, Qixuan ; Wang, Yiqiu..
http://arxiv.org/abs/1910.13830.  , 2019
Link: http://arxiv.org/abs/191..
 
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13

RAMBO: Repeated And Merged BloOm Filter for Ultra-fast Mult..:

Gupta, Gaurav ; Yan, Minghao ; Coleman, Benjamin...
http://arxiv.org/abs/1910.02611.  , 2019
Link: http://arxiv.org/abs/191..
 
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14

Fast Processing and Querying of 170TB of Genomics Data via ..:

Gupta, Gaurav ; Yan, Minghao ; Coleman, Benjamin...
http://arxiv.org/abs/1910.04358.  , 2019
Link: http://arxiv.org/abs/191..
 
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15

Extreme Classification in Log Memory:

Huang, Qixuan ; Wang, Yiqiu ; Medini, Tharun.
http://arxiv.org/abs/1810.04254.  , 2018
Link: http://arxiv.org/abs/181..
 
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