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Priya Goyal
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2020 – today
- 2024
- [c8]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 - [i10]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 abs/2403.04547 (2024) - 2023
- [c7]Oscar Antepara
, Samuel Williams
Performance Portability Evaluation of Blocked Stencil Computations on GPUs. SC Workshops 2023: 1005-1018 - 2022
- [c6]Ed Pizzi, Sreya Dutta Roy, Sugosh Nagavara Ravindra, Priya Goyal, Matthijs Douze:
A Self-Supervised Descriptor for Image Copy Detection. CVPR 2022: 14512-14522 - [c5]Priya Goyal, Adriana Romero-Soriano, Caner Hazirbas, Levent Sagun, Nicolas Usunier:
Fairness Indicators for Systematic Assessments of Visual Feature Extractors. FAccT 2022: 70-88 - [c4]John Jolly, Priya Goyal, Vishal Sahoo, Hans Johansen, Mary W. Hall:
Tensor Iterators for Flexible High-Performance Tensor Computation. LCPC 2022: 22-28 - [i9]Priya Goyal, Adriana Romero-Soriano, Caner Hazirbas, Levent Sagun, Nicolas Usunier:
Fairness Indicators for Systematic Assessments of Visual Feature Extractors. CoRR abs/2202.07603 (2022) - [i8]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 abs/2202.08360 (2022) - [i7]Ed Pizzi, Sreya Dutta Roy, Sugosh Nagavara Ravindra, Priya Goyal, Matthijs Douze:
A Self-Supervised Descriptor for Image Copy Detection. CoRR abs/2202.10261 (2022) - 2021
- [i6]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 abs/2103.01988 (2021) - 2020
- [j2]Tsung-Yi Lin
Focal Loss for Dense Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 42(2): 318-327 (2020) - [j1]Nicolas Vasilache, Oleksandr Zinenko
The Next 700 Accelerated Layers: From Mathematical Expressions of Network Computation Graphs to Accelerated GPU Kernels, Automatically. ACM Trans. Archit. Code Optim. 16(4): 38:1-38:26 (2020) - [c3]Mathilde Caron, Ishan Misra, Julien Mairal, Priya Goyal, Piotr Bojanowski, Armand Joulin:
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments. NeurIPS 2020 - [i5]Mathilde Caron, Ishan Misra, Julien Mairal, Priya Goyal, Piotr Bojanowski, Armand Joulin:
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments. CoRR abs/2006.09882 (2020)
2010 – 2019
- 2019
- [c2]Priya Goyal, Dhruv Mahajan, Abhinav Gupta, Ishan Misra:
Scaling and Benchmarking Self-Supervised Visual Representation Learning. ICCV 2019: 6390-6399 - [i4]Priya Goyal, Dhruv Mahajan, Abhinav Gupta, Ishan Misra:
Scaling and Benchmarking Self-Supervised Visual Representation Learning. CoRR abs/1905.01235 (2019) - 2018
- [i3]Nicolas Vasilache, Oleksandr Zinenko
Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning Abstractions. CoRR abs/1802.04730 (2018) - 2017
- [c1]Tsung-Yi Lin, Priya Goyal, Ross B. Girshick, Kaiming He, Piotr Dollár:
Focal Loss for Dense Object Detection. ICCV 2017: 2999-3007 - [i2]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 abs/1706.02677 (2017) - [i1]Tsung-Yi Lin, Priya Goyal, Ross B. Girshick, Kaiming He, Piotr Dollár:
Focal Loss for Dense Object Detection. CoRR abs/1708.02002 (2017)
Coauthor Index
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