Priya Goyal

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 20

Top Topics

Unsupervised Learning

Machine Learning

Visual Features

Image Copy Detection

Top Venues

Publications

Ibrahim Alabdulmohsin, Xiao Wang, Andreas Steiner, Priya Goyal, Alexander D'Amour, Xiaohua Zhai
CLIP the Bias: How Useful is Balancing Data in Multimodal Learning? CoRR (2024)
Ibrahim Alabdulmohsin, Xiao Wang, Andreas Peter Steiner, Priya Goyal, Alexander D'Amour, Xiaohua Zhai
CLIP the Bias: How Useful is Balancing Data in Multimodal Learning? ICLR (2024)
Oscar Antepara, Samuel Williams, Hans Johansen, Tuowen Zhao, Samantha Hirsch, Priya Goyal, Mary W. Hall
Performance Portability Evaluation of Blocked Stencil Computations on GPUs. SC Workshops (2023)
Priya Goyal, Adriana Romero-Soriano, Caner Hazirbas, Levent Sagun, Nicolas Usunier
Fairness Indicators for Systematic Assessments of Visual Feature Extractors. FAccT (2022)
Priya Goyal, Quentin Duval, Isaac Seessel, Mathilde Caron, Ishan Misra, Levent Sagun, Armand Joulin, Piotr Bojanowski
Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision. CoRR (2022)
Priya Goyal, Adriana Romero-Soriano, Caner Hazirbas, Levent Sagun, Nicolas Usunier
Fairness Indicators for Systematic Assessments of Visual Feature Extractors. CoRR (2022)
John Jolly, Priya Goyal, Vishal Sahoo, Hans Johansen, Mary W. Hall
Tensor Iterators for Flexible High-Performance Tensor Computation. LCPC (2022)
Ed Pizzi, Sreya Dutta Roy, Sugosh Nagavara Ravindra, Priya Goyal, Matthijs Douze
A Self-Supervised Descriptor for Image Copy Detection. CVPR (2022)
Ed Pizzi, Sreya Dutta Roy, Sugosh Nagavara Ravindra, Priya Goyal, Matthijs Douze
A Self-Supervised Descriptor for Image Copy Detection. CoRR (2022)
Priya Goyal, Mathilde Caron, Benjamin Lefaudeux, Min Xu, Pengchao Wang, Vivek Pai, Mannat Singh, Vitaliy Liptchinsky, Ishan Misra, Armand Joulin, Piotr Bojanowski
Self-supervised Pretraining of Visual Features in the Wild. CoRR (2021)
Mathilde Caron, Ishan Misra, Julien Mairal, Priya Goyal, Piotr Bojanowski, Armand Joulin
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments. CoRR (2020)
Mathilde Caron, Ishan Misra, Julien Mairal, Priya Goyal, Piotr Bojanowski, Armand Joulin
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments. NeurIPS (2020)
Tsung-Yi Lin, Priya Goyal, Ross B. Girshick, Kaiming He, Piotr Dollár
Focal Loss for Dense Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 42 (2) (2020)
Nicolas Vasilache, Oleksandr Zinenko, Theodoros Theodoridis, Priya Goyal, Zachary DeVito, William S. Moses, Sven Verdoolaege, Andrew Adams, Albert Cohen
The Next 700 Accelerated Layers: From Mathematical Expressions of Network Computation Graphs to Accelerated GPU Kernels, Automatically. ACM Trans. Archit. Code Optim. 16 (4) (2020)
Priya Goyal, Dhruv Mahajan, Abhinav Gupta, Ishan Misra
Scaling and Benchmarking Self-Supervised Visual Representation Learning. CoRR (2019)
Priya Goyal, Dhruv Mahajan, Abhinav Gupta, Ishan Misra
Scaling and Benchmarking Self-Supervised Visual Representation Learning. ICCV (2019)
Nicolas Vasilache, Oleksandr Zinenko, Theodoros Theodoridis, Priya Goyal, Zachary DeVito, William S. Moses, Sven Verdoolaege, Andrew Adams, Albert Cohen
Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning Abstractions. CoRR (2018)
Tsung-Yi Lin, Priya Goyal, Ross B. Girshick, Kaiming He, Piotr Dollár
Focal Loss for Dense Object Detection. CoRR (2017)
Tsung-Yi Lin, Priya Goyal, Ross B. Girshick, Kaiming He, Piotr Dollár
Focal Loss for Dense Object Detection. ICCV (2017)
Priya Goyal, Piotr Dollár, Ross B. Girshick, Pieter Noordhuis, Lukasz Wesolowski, Aapo Kyrola, Andrew Tulloch, Yangqing Jia, Kaiming He
Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour. CoRR (2017)