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Priya Goyal
Priya Goyal
Founding member@DatologyAI, ex-FAIR, ex-Google Deepmind
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
Focal Loss for Dense Object Detection
TY Lin, P Goyal, R Girshick, K He, P Dollár
arXiv preprint arXiv:1708.02002, 2017
283252017
Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
P Goyal, P Dollár, R Girshick, P Noordhuis, L Wesolowski, A Kyrola, ...
https://arxiv.org/abs/1706.02677, 2017
37792017
Unsupervised learning of visual features by contrasting cluster assignments
M Caron, I Misra, J Mairal, P Goyal, P Bojanowski, A Joulin
Advances in neural information processing systems 33, 9912-9924, 2020
33602020
Tensor comprehensions: Framework-agnostic high-performance machine learning abstractions
N Vasilache, O Zinenko, T Theodoridis, P Goyal, Z DeVito, WS Moses, ...
arXiv preprint arXiv:1802.04730, 2018
4552018
Scaling and Benchmarking Self-Supervised Visual Representation Learning
P Goyal, D Mahajan, A Gupta, I Misra
https://arxiv.org/abs/1905.01235, 2019
4352019
P. Doll ar,“Focal loss for dense object detection,”
TY Lin, P Goyal, R Girshick, K He
Proc. IEEE Int. Conf. Comput. Vis, 2980-2988, 2017
3632017
Self-supervised pretraining of visual features in the wild
P Goyal, M Caron, B Lefaudeux, M Xu, P Wang, V Pai, M Singh, ...
arXiv preprint arXiv:2103.01988, 2021
2462021
Focal loss for dense object detection. arXiv 2017
TY Lin, P Goyal, R Girshick, K He, P Dollár
arXiv preprint arXiv:1708.02002, 2002
1332002
Focal loss for dense object detection. 2017
TY Lin, P Goyal, R Girshick, K He, P Dollár
arXiv preprint arXiv:1708.02002, 2017
1042017
Focal loss for dense object detection. arXiv
TY Lin, P Goyal, R Girshick, K He, P Dollár
arXiv preprint arXiv:1708.02002, 2017
992017
Vision models are more robust and fair when pretrained on uncurated images without supervision
P Goyal, Q Duval, I Seessel, M Caron, I Misra, L Sagun, A Joulin, ...
arXiv preprint arXiv:2202.08360, 2022
882022
Piotr Doll ar. Focal loss for dense object detection
TY Lin, P Goyal, R Girshick, K He
Proceedings of the IEEE International Conference on Computer Vision (ICCV …, 2017
772017
VISSL
P Goyal, B Lefaudeux, M Singh, J Reizenstein, V Reis, M Xu, M Leavitt, ...
752021
The next 700 accelerated layers: From mathematical expressions of network computation graphs to accelerated gpu kernels, automatically
N Vasilache, O Zinenko, T Theodoridis, P Goyal, Z Devito, WS Moses, ...
ACM Transactions on Architecture and Code Optimization (TACO) 16 (4), 1-26, 2019
622019
Focal loss for dense object detection. CoRR abs/1708.02002 (2017)
T Lin, P Goyal, RB Girshick, K He, P Dollár
arXiv preprint arXiv:1708.02002, 2017
582017
A self-supervised descriptor for image copy detection
E Pizzi, SD Roy, SN Ravindra, P Goyal, M Douze
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
352022
Fairness indicators for systematic assessments of visual feature extractors
P Goyal, AR Soriano, C Hazirbas, L Sagun, N Usunier
Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022
192022
GitHub repository
TLI Lin, P Goyal, R Girshick, K He, P Dollar, RN TF
GenQSGD, 2018
142018
Focal loss for dense object detection. CoRR abs/1708.02002
T Lin, P Goyal, RB Girshick, K He, P Dollár
arXiv preprint arXiv:1708.02002, 2017
142017
Focal loss for dense object detection. arxiv. 2018 doi: 10.48550
TY Lin, P Goyal, R Girshick, K He, P Dollár
arXiv preprint arXiv.1708.02002 1708, 0
9
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