Alykhan Tejani

21 papers A* 3A 5Journal 11Unranked 2

Year	Rank	Type	Title / Venue / Authors
2021	A	`conf`	RecSys 2021 Challenge Workshop: Fairness-aware engagement prediction at scale on Twitter's Home Timeline. RecSys Vito Walter Anelli, Saikishore Kalloori, Bruce Ferwerda, Luca Belli, Alykhan Tejani, Frank Portman, Alexandre Lung-Yut-Fong, Ben Chamberlain, Yuanpu Xie, Jonathan Hunt, Michael M. Bronstein, Wenzhe Shi
2021	—	`conf`	The 2021 RecSys Challenge Dataset: Fairness is not optional. RecSys Challenge Luca Belli, Alykhan Tejani, Frank Portman, Alexandre Lung-Yut-Fong, Ben Chamberlain, Yuanpu Xie, Kristian Lum, Jonathan Hunt, Michael M. Bronstein, Vito Walter Anelli, Saikishore Kalloori, Bruce Ferwerda, Wenzhe Shi
2021	J	`jnl`	The 2021 RecSys Challenge Dataset: Fairness is not optional. CoRR Luca Belli, Alykhan Tejani, Frank Portman, Alexandre Lung-Yut-Fong, Ben Chamberlain, Yuanpu Xie, Kristian Lum, Jonathan Hunt, Michael M. Bronstein, Vito Walter Anelli, Saikishore Kalloori, Bruce Ferwerda, Wenzhe Shi
2020	A	`conf`	Deep Bayesian Bandits: Exploring in Online Personalized Recommendations. RecSys Dalin Guo, Sofia Ira Ktena, Pranay Kumar Myana, Ferenc Huszar, Wenzhe Shi, Alykhan Tejani, Michael Kneier, Sourav Das
2020	J	`jnl`	Deep Bayesian Bandits: Exploring in Online Personalized Recommendations. CoRR Dalin Guo, Sofia Ira Ktena, Ferenc Huszar, Pranay Kumar Myana, Wenzhe Shi, Alykhan Tejani
2020	A	`conf`	Model Size Reduction Using Frequency Based Double Hashing for Recommender Systems. RecSys Caojin Zhang, Yicun Liu, Yuanpu Xie, Sofia Ira Ktena, Alykhan Tejani, Akshay Gupta, Pranay Kumar Myana, Deepak Dilipkumar, Suvadip Paul, Ikuhiro Ihara, Prasang Upadhyaya, Ferenc Huszar, Wenzhe Shi
2020	J	`jnl`	Model Size Reduction Using Frequency Based Double Hashing for Recommender Systems. CoRR Caojin Zhang, Yicun Liu, Yuanpu Xie, Sofia Ira Ktena, Alykhan Tejani, Akshay Gupta, Pranay Kumar Myana, Deepak Dilipkumar, Suvadip Paul, Ikuhiro Ihara, Prasang Upadhyaya, Ferenc Huszar, Wenzhe Shi
2020	J	`jnl`	Privacy-Preserving Recommender Systems Challenge on Twitter's Home Timeline. CoRR Luca Belli, Sofia Ira Ktena, Alykhan Tejani, Alexandre Lung-Yut-Fong, Frank Portman, Xiao Zhu, Yuanpu Xie, Akshay Gupta, Michael M. Bronstein, Amra Delic, Gabriele Sottocornola, Vito Walter Anelli, Nazareno Andrade, Jessie Smith, Wenzhe Shi
2020	A	`conf`	RecSys 2020 Challenge Workshop: Engagement Prediction on Twitter's Home Timeline. RecSys Vito Walter Anelli, Amra Delic, Gabriele Sottocornola, Jessie Smith, Nazareno Andrade, Luca Belli, Michael M. Bronstein, Akshay Gupta, Sofia Ira Ktena, Alexandre Lung-Yut-Fong, Frank Portman, Alykhan Tejani, Yuanpu Xie, Xiao Zhu, Wenzhe Shi
2019	J	`jnl`	Addressing Delayed Feedback for Continuous Training with Neural Networks in CTR prediction. CoRR Sofia Ira Ktena, Alykhan Tejani, Lucas Theis, Pranay Kumar Myana, Deepak Dilipkumar, Ferenc Huszar, Steven Yoo, Wenzhe Shi
2019	A	`conf`	Addressing delayed feedback for continuous training with neural networks in CTR prediction. RecSys Sofia Ira Ktena, Alykhan Tejani, Lucas Theis, Pranay Kumar Myana, Deepak Dilipkumar, Ferenc Huszár, Steven Yoo, Wenzhe Shi
2019	A*	`conf`	PyTorch: An Imperative Style, High-Performance Deep Learning Library. NeurIPS Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Köpf, Edward Z. Yang, Zachary DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, Soumith Chintala
2019	J	`jnl`	PyTorch: An Imperative Style, High-Performance Deep Learning Library. CoRR Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Köpf, Edward Z. Yang, Zach DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, Soumith Chintala
2018	J	`jnl`	Faster gaze prediction with dense networks and Fisher pruning. CoRR Lucas Theis, Iryna Korshunova, Alykhan Tejani, Ferenc Huszár
2018	J	`jnl`	Latent-Class Hough Forests for 6 DoF Object Pose Estimation. IEEE Trans. Pattern Anal. Mach. Intell. Alykhan Tejani, Rigas Kouskouridas, Andreas Doumanoglou, Danhang Tang, Tae-Kyun Kim
2017	J	`jnl`	Latent Regression Forest: Structured Estimation of 3D Hand Poses. IEEE Trans. Pattern Anal. Mach. Intell. Danhang Tang, Hyung Jin Chang, Alykhan Tejani, Tae-Kyun Kim
2017	A*	`conf`	Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network. CVPR Christian Ledig, Lucas Theis, Ferenc Huszar, Jose Caballero, Andrew Cunningham, Alejandro Acosta, Andrew P. Aitken, Alykhan Tejani, Johannes Totz, Zehan Wang, Wenzhe Shi
2016	J	`jnl`	Latent-Class Hough Forests for 6 DoF Object Pose Estimation. CoRR Rigas Kouskouridas, Alykhan Tejani, Andreas Doumanoglou, Danhang Tang, Tae-Kyun Kim
2016	J	`jnl`	Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network. CoRR Christian Ledig, Lucas Theis, Ferenc Huszar, Jose Caballero, Andrew P. Aitken, Alykhan Tejani, Johannes Totz, Zehan Wang, Wenzhe Shi
2014	A*	`conf`	Latent Regression Forest: Structured Estimation of 3D Articulated Hand Posture. CVPR Danhang Tang, Hyung Jin Chang, Alykhan Tejani, Tae-Kyun Kim
2014	—	`conf`	Latent-Class Hough Forests for 3D Object Detection and Pose Estimation. ECCV (6) Alykhan Tejani, Danhang Tang, Rigas Kouskouridas, Tae-Kyun Kim