Priya Goyal

According to our database, Priya Goyal authored at least 13 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

CLIP the Bias: How Useful is Balancing Data in Multimodal Learning?

Ibrahim Alabdulmohsin, Xiao Wang, Andreas Steiner, Priya Goyal, Alexander D'Amour, Xiaohua Zhai

CoRR, 2024

2023

Performance Portability Evaluation of Blocked Stencil Computations on GPUs.

Oscar Antepara, Samuel Williams, Hans Johansen, Tuowen Zhao, Samantha Hirsch, Priya Goyal, Mary W. Hall

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

2022

Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision.

Priya Goyal, Quentin Duval, Isaac Seessel, Mathilde Caron, Ishan Misra, Levent Sagun, Armand Joulin, Piotr Bojanowski

CoRR, 2022

Tensor Iterators for Flexible High-Performance Tensor Computation.

John Jolly, Priya Goyal, Vishal Sahoo, Hans Johansen, Mary W. Hall

Proceedings of the Languages and Compilers for Parallel Computing, 2022

Fairness Indicators for Systematic Assessments of Visual Feature Extractors.

Priya Goyal, Adriana Romero-Soriano, Caner Hazirbas, Levent Sagun, Nicolas Usunier

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

A Self-Supervised Descriptor for Image Copy Detection.

Ed Pizzi, Sreya Dutta Roy, Sugosh Nagavara Ravindra, Priya Goyal, Matthijs Douze

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Self-supervised Pretraining of Visual Features in the Wild.

Priya Goyal, Mathilde Caron, Benjamin Lefaudeux, Min Xu, Pengchao Wang, Vivek Pai, Mannat Singh, Vitaliy Liptchinsky, Ishan Misra, Armand Joulin, Piotr Bojanowski

CoRR, 2021

2020

The Next 700 Accelerated Layers: From Mathematical Expressions of Network Computation Graphs to Accelerated GPU Kernels, Automatically.

Nicolas Vasilache, Oleksandr Zinenko, Theodoros Theodoridis, Priya Goyal, Zachary DeVito, William S. Moses, Sven Verdoolaege, Andrew Adams, Albert Cohen

ACM Trans. Archit. Code Optim., 2020

Focal Loss for Dense Object Detection.

Tsung-Yi Lin, Priya Goyal, Ross B. Girshick, Kaiming He, Piotr Dollár

IEEE Trans. Pattern Anal. Mach. Intell., 2020

Unsupervised Learning of Visual Features by Contrasting Cluster Assignments.

Mathilde Caron, Ishan Misra, Julien Mairal, Priya Goyal, Piotr Bojanowski, Armand Joulin

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Scaling and Benchmarking Self-Supervised Visual Representation Learning.

Priya Goyal, Dhruv Mahajan, Abhinav Gupta, Ishan Misra

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning Abstractions.

Nicolas Vasilache, Oleksandr Zinenko, Theodoros Theodoridis, Priya Goyal, Zachary DeVito, William S. Moses, Sven Verdoolaege, Andrew Adams, Albert Cohen

CoRR, 2018

2017

Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour.

Priya Goyal, Piotr Dollár, Ross B. Girshick, Pieter Noordhuis, Lukasz Wesolowski, Aapo Kyrola, Andrew Tulloch, Yangqing Jia, Kaiming He

CoRR, 2017