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Alykhan Tejani
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Pytorch: An imperative style, high-performance deep learning library
A Paszke, S Gross, F Massa, A Lerer, J Bradbury, G Chanan, T Killeen, ...
Advances in neural information processing systems 32, 2019
481522019
Photo-realistic single image super-resolution using a generative adversarial network
C Ledig, L Theis, F Huszár, J Caballero, A Cunningham, A Acosta, ...
Proceedings of the IEEE conference on computer vision and pattern …, 2017
130922017
Advances in neural information processing systems 32
A Paszke, S Gross, F Massa, A Lerer, J Bradbury, G Chanan, T Killeen, ...
Curran Associates, Inc, 8024-8035, 2019
15302019
Latent regression forest: Structured estimation of 3d articulated hand posture
D Tang, H Jin Chang, A Tejani, TK Kim
Proceedings of the IEEE conference on computer vision and pattern …, 2014
4852014
Latent-class hough forests for 3d object detection and pose estimation
A Tejani, D Tang, R Kouskouridas, TK Kim
Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014
3422014
Faster gaze prediction with dense networks and fisher pruning
L Theis, I Korshunova, A Tejani, F Huszár
arXiv preprint arXiv:1801.05787, 2018
2372018
Pytorch: An imperative style, high-performance deep learning library, 2019
A Paszke, S Gross, F Massa, A Lerer, J Bradbury, G Chanan, T Killeen, ...
arXiv preprint arXiv:1912.01703 10, 1912
2241912
Is the deconvolution layer the same as a convolutional layer?
W Shi, J Caballero, L Theis, F Huszar, A Aitken, C Ledig, Z Wang
arXiv preprint arXiv:1609.07009, 2016
1862016
Proceedings of the IEEE conference on computer vision and pattern recognition
C Ledig, L Theis, F Huszár, J Caballero, A Cunningham, A Acosta, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
1112017
PyTorch: An Imperative Style, High-Performance Deep Learning Library. arXiv e-prints: p
A Paszke, S Gross, F Massa, A Lerer, J Bradbury, G Chanan, T Killeen, ...
arXiv preprint arXiv:1912.01703, 2019
962019
Addressing delayed feedback for continuous training with neural networks in CTR prediction
SI Ktena, A Tejani, L Theis, PK Myana, D Dilipkumar, F Huszár, S Yoo, ...
Proceedings of the 13th ACM conference on recommender systems, 187-195, 2019
672019
Latent-class hough forests for 6 DoF object pose estimation
A Tejani, R Kouskouridas, A Doumanoglou, D Tang, TK Kim
IEEE transactions on pattern analysis and machine intelligence 40 (1), 119-132, 2017
672017
Photo-realistic single image super-resolution using a generative adversarial network. arXiv 2016
C Ledig, L Theis, F Huszar, J Caballero, A Cunningham, A Acosta, ...
arXiv preprint arXiv:1609.04802, 2016
662016
Advances in Neural Information Processing Systems 32 ed H
A Paszke, S Gross, F Massa, A Lerer, J Bradbury, G Chanan, T Killeen, ...
Wallach et al 8024, 2019
552019
Latent regression forest: structured estimation of 3d hand poses
D Tang, HJ Chang, A Tejani, TK Kim
IEEE Transactions on Pattern Analysis and Machine Intelligence 39 (7), 1374-1387, 2016
552016
Deep bayesian bandits: Exploring in online personalized recommendations
D Guo, SI Ktena, PK Myana, F Huszar, W Shi, A Tejani, M Kneier, S Das
Proceedings of the 14th ACM Conference on Recommender Systems, 456-461, 2020
542020
Model size reduction using frequency based double hashing for recommender systems
C Zhang, Y Liu, Y Xie, SI Ktena, A Tejani, A Gupta, PK Myana, ...
Proceedings of the 14th ACM Conference on Recommender Systems, 521-526, 2020
432020
High-level library to help with training neural networks in pytorch
V Fomin, J Anmol, S Desroziers, J Kriss, A Tejani
362020
PyTorch: An imperative style, high-performance deep learning library.(NeurIPS)(2019)
A Paszke, S Gross, F Massa, A Lerer, J Bradbury, G Chanan, T Killeen, ...
201912
PyTorch: An imperative style, high-performance deep learning library. arXiv [cs. LG]
A Paszke, S Gross, F Massa, A Lerer, J Bradbury, G Chanan, T Killeen, ...
arXiv preprint arXiv:1912.01703, 2019
182019
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