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)

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 001 (CoRR, 2018)

Scaling and Benchmarking Self-Supervised Visual Representation Learning. - Priya Goyal; Dhruv Mahajan 001; Abhinav Gupta 001; Ishan Misra (ICCV, 2019)

Unsupervised Learning of Visual Features by Contrasting Cluster Assignments. - Mathilde Caron; Ishan Misra; Julien Mairal; Priya Goyal; Piotr Bojanowski; Armand Joulin (NeurIPS, 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)

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 001 (ACM Trans. Archit. Code Optim., 2020)

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)

A Self-Supervised Descriptor for Image Copy Detection. - Ed Pizzi; Sreya Dutta Roy; Sugosh Nagavara Ravindra; Priya Goyal; Matthijs Douze (CVPR, 2022)

Fairness Indicators for Systematic Assessments of Visual Feature Extractors. - Priya Goyal; Adriana Romero-Soriano; Caner Hazirbas; Levent Sagun; Nicolas Usunier (FAccT, 2022)

Tensor Iterators for Flexible High-Performance Tensor Computation. - John Jolly; Priya Goyal; Vishal Sahoo; Hans Johansen; Mary W. Hall (LCPC, 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)

Performance Portability Evaluation of Blocked Stencil Computations on GPUs. - Oscar Antepara; Samuel Williams 001; Hans Johansen; Tuowen Zhao; Samantha Hirsch; Priya Goyal; Mary W. Hall (SC Workshops, 2023)

CLIP the Bias: How Useful is Balancing Data in Multimodal Learning? - Ibrahim Alabdulmohsin; Xiao Wang 038; Andreas Peter Steiner; Priya Goyal; Alexander D'Amour; Xiaohua Zhai (ICLR, 2024)