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Tejani*, Alykhan
17  Ergebnisse:
Personensuche X
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1

RecSys 2021 Challenge Workshop: Fairness-aware engagement p..:

, In: Proceedings of the 15th ACM Conference on Recommender Systems,
Anelli, Vito Walter ; Kalloori, Saikishore ; Ferwerda, Bruce... - p. 819-824 , 2021
Link: https://dl.acm.org/doi/1..
 
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2

The 2021 RecSys Challenge Dataset: Fairness is not optional:

, In: Proceedings of the Recommender Systems Challenge 2021,
Belli, Luca ; Tejani*, Alykhan ; Portman*, Frank... - p. 1-6 , 2021
Link: https://dl.acm.org/doi/1..
 
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3

Deep Bayesian Bandits: Exploring in Online Personalized Rec..:

, In: Fourteenth ACM Conference on Recommender Systems,
Guo, Dalin ; Ktena, Sofia Ira ; Myana, Pranay Kumar... - p. 456-461 , 2020
Link: https://dl.acm.org/doi/1..
 
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4

RecSys 2020 Challenge Workshop: Engagement Prediction on Tw..:

, In: Fourteenth ACM Conference on Recommender Systems,
Anelli, Vito Walter ; Delić, Amra ; Sottocornola, Gabriele... - p. 623-627 , 2020
Link: https://dl.acm.org/doi/1..
 
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5

Model Size Reduction Using Frequency Based Double Hashing f..:

, In: Fourteenth ACM Conference on Recommender Systems,
Zhang, Caojin ; Liu, Yicun ; Xie, Yuanpu... - p. 521-526 , 2020
Link: https://dl.acm.org/doi/1..
 
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6

Addressing delayed feedback for continuous training with ne..:

, In: Proceedings of the 13th ACM Conference on Recommender Systems,
Ktena, Sofia Ira ; Tejani, Alykhan ; Theis, Lucas... - p. 187-195 , 2019
Link: https://dl.acm.org/doi/1..
 
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7

Latent-Class Hough Forests for 6 DoF Object Pose Estimation:

Tejani, Alykhan ; Kouskouridas, Rigas ; Doumanoglou, Andreas..
IEEE Transactions on Pattern Analysis and Machine Intelligence.  40 (2018)  1 - p. 119-132 , 2018
Link: https://doi.org/10.1109/..
 
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8

Latent Regression Forest: Structured Estimation of 3D Hand ..:

Tang, Danhang ; Chang, Hyung Jin ; Tejani, Alykhan.
IEEE Transactions on Pattern Analysis and Machine Intelligence.  39 (2017)  7 - p. 1374-1387 , 2017
Link: https://doi.org/10.1109/..
 
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9

The 2021 RecSys Challenge Dataset: Fairness is not optional:

Belli, Luca ; Tejani, Alykhan ; Portman, Frank...
http://arxiv.org/abs/2109.08245.  , 2021
Link: http://arxiv.org/abs/210..
 
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10

Deep Bayesian Bandits: Exploring in Online Personalized Rec..:

Guo, Dalin ; Ktena, Sofia Ira ; Huszar, Ferenc...
http://arxiv.org/abs/2008.00727.  , 2020
Link: http://arxiv.org/abs/200..
 
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11

Model Size Reduction Using Frequency Based Double Hashing f..:

Zhang, Caojin ; Liu, Yicun ; Xie, Yuanpu...
http://arxiv.org/abs/2007.14523.  , 2020
Link: http://arxiv.org/abs/200..
 
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12

Privacy-Aware Recommender Systems Challenge on Twitter's Ho..:

Belli, Luca ; Ktena, Sofia Ira ; Tejani, Alykhan...
http://arxiv.org/abs/2004.13715.  , 2020
Link: http://arxiv.org/abs/200..
 
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13

PyTorch: An Imperative Style, High-Performance Deep Learnin..:

Paszke, Adam ; Gross, Sam ; Massa, Francisco...
http://arxiv.org/abs/1912.01703.  , 2019
Link: http://arxiv.org/abs/191..
 
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14

Addressing Delayed Feedback for Continuous Training with Ne..:

Ktena, Sofia Ira ; Tejani, Alykhan ; Theis, Lucas...
http://arxiv.org/abs/1907.06558.  , 2019
Link: http://arxiv.org/abs/190..
 
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15

Faster gaze prediction with dense networks and Fisher pruni..:

Theis, Lucas ; Korshunova, Iryna ; Tejani, Alykhan.
http://arxiv.org/abs/1801.05787.  , 2018
Link: http://arxiv.org/abs/180..
 
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