Priya Goyal - RankMe

20 papers A* 5Journal 12Unranked 3

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