Priya Goyal

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All published works

Action	Title	Year	Authors
+	Tensor Iterators for Flexible High-Performance Tensor Computation	2023	John Jolly Priya Goyal Vishal Sahoo Hans Johansen Mary Hall
+ PDF Chat	Fairness Indicators for Systematic Assessments of Visual Feature Extractors	2022	Priya Goyal Adriana Romero Caner Hazırbaş Levent Sagun Nicolas Usunier
+ PDF Chat	A Self-Supervised Descriptor for Image Copy Detection	2022	Ed Pizzi Sreya Dutta Roy Sugosh Nagavara Ravindra Priya Goyal Matthijs Douze
+	Self-supervised Pretraining of Visual Features in the Wild	2021	Priya Goyal Mathilde Caron Benjamin Lefaudeux Min Xu Pengchao Wang Vivek S. Pai Mannat Singh Vitaliy Liptchinsky Ishan Misra Armand Joulin
+	Unsupervised Learning of Visual Features by Contrasting Cluster Assignments	2020	Mathilde Caron Ishan Misra Julien Mairal Priya Goyal Piotr Bojanowski Armand Joulin
+ PDF Chat	Scaling and Benchmarking Self-Supervised Visual Representation Learning	2019	Priya Goyal Dhruv Mahajan Abhinav Gupta Ishan Misra
+	Scaling and Benchmarking Self-Supervised Visual Representation Learning.	2019	Priya Goyal Dhruv Mahajan Abhinav Gupta Ishan Misra
+ PDF Chat	Focal Loss for Dense Object Detection	2018	Tsung-Yi Lin Priya Goyal Ross Girshick Kaiming He Piotr Dollár
+	Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning Abstractions	2018	Nicolas Vasilache Oleksandr Zinenko Theodoros Theodoridis Priya Goyal Zachary DeVito William S. Moses Sven Verdoolaege Andrew Adams Albert Cohen
+ PDF Chat	Focal Loss for Dense Object Detection	2017	Tsung-Yi Lin Priya Goyal Ross Girshick Kaiming He Piotr Dollár
+	Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour	2017	Priya Goyal Piotr Dollár Ross Girshick Pieter Noordhuis Lukasz Wesolowski Aapo Kyrola Andrew Tulloch Yangqing Jia Kaiming He
+	Focal Loss for Dense Object Detection	2017	Tsung-Yi Lin Priya Goyal Ross Girshick Kaiming He Piotr Dollár

Common Coauthors

Coauthor	Papers Together
Ishan Misra	4
Ross Girshick	4
Kaiming He	4
Piotr Dollár	4
Tsung-Yi Lin	3
Dhruv Mahajan	2
Mathilde Caron	2
Abhinav Gupta	2
Piotr Bojanowski	2
Armand Joulin	2
Sreya Dutta Roy	1
Matthijs Douze	1
Sven Verdoolaege	1
Pengchao Wang	1
Mannat Singh	1
Benjamin Lefaudeux	1
Julien Mairal	1
Albert Cohen	1
Lukasz Wesolowski	1
Aapo Kyrola	1
William S. Moses	1
Levent Sagun	1
Sugosh Nagavara Ravindra	1
Adriana Romero	1
Hans Johansen	1
Andrew Adams	1
Nicolas Usunier	1
Caner Hazırbaş	1
John Jolly	1
Vishal Sahoo	1
Min Xu	1
Yangqing Jia	1
Vivek S. Pai	1
Andrew Tulloch	1
Zachary DeVito	1
Pieter Noordhuis	1
Ed Pizzi	1
Nicolas Vasilache	1
Theodoros Theodoridis	1
Vitaliy Liptchinsky	1
Mary Hall	1
Oleksandr Zinenko	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	7
+ PDF Chat	ImageNet Large Scale Visual Recognition Challenge	2015	Olga Russakovsky Jia Deng Hao Su Jonathan Krause Sanjeev Satheesh Sean Ma Zhiheng Huang Andrej Karpathy Aditya Khosla Michael S. Bernstein	6
+ PDF Chat	Unsupervised Visual Representation Learning by Context Prediction	2015	Carl Doersch Abhinav Gupta Alexei A. Efros	4
+ PDF Chat	Deep Clustering for Unsupervised Learning of Visual Features	2018	Mathilde Caron Piotr Bojanowski Armand Joulin Matthijs Douze	4
+	Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks	2015	Shaoqing Ren Kaiming He Ross Girshick Jian Sun	4
+ PDF Chat	Exploring the Limits of Weakly Supervised Pretraining	2018	Dhruv Mahajan Ross Girshick Vignesh Ramanathan Kaiming He Manohar Paluri Yixuan Li Ashwin Bharambe Laurens van der Maaten	4
+	Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour	2017	Priya Goyal Piotr Dollár Ross Girshick Pieter Noordhuis Lukasz Wesolowski Aapo Kyrola Andrew Tulloch Yangqing Jia Kaiming He	4
+ PDF Chat	Revisiting Unreasonable Effectiveness of Data in Deep Learning Era	2017	Chen Sun Abhinav Shrivastava Saurabh Singh Abhinav Gupta	4
+	Representation Learning with Contrastive Predictive Coding	2018	Aäron van den Oord Yazhe Li Oriol Vinyals	4
+ PDF Chat	Revisiting Self-Supervised Visual Representation Learning	2019	Alexander Kolesnikov Xiaohua Zhai Lucas Beyer	4
+ PDF Chat	Aggregated Residual Transformations for Deep Neural Networks	2017	Saining Xie Ross Girshick Piotr Dollár Zhuowen Tu Kaiming He	4
+	OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks	2014	Pierre Sermanet David Eigen Xiang Zhang Michaël Mathieu Rob Fergus Yann LeCun	4
+	R-FCN: Object Detection via Region-based Fully Convolutional Networks	2016	Jifeng Dai Li Yi Kaiming He Jian Sun	3
+ PDF Chat	Scalable Object Detection Using Deep Neural Networks	2014	Dumitru Erhan Christian Szegedy Alexander Toshev Dragomir Anguelov	3
+ PDF Chat	ClusterFit: Improving Generalization of Visual Representations	2020	Xueting Yan Ishan Misra Abhinav Gupta Deepti Ghadiyaram Dhruv Mahajan	3
+ PDF Chat	Feature Pyramid Networks for Object Detection	2017	Tsung-Yi Lin Piotr Dollár Ross Girshick Kaiming He Bharath Hariharan Serge Belongie	3
+	Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition	2014	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	3
+	A Simple Framework for Contrastive Learning of Visual Representations	2020	Ting Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton	3
+	Large Batch Training of Convolutional Networks	2017	Yang You Igor Gitman Boris Ginsburg	3
+ PDF Chat	Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks	2016	Shaoqing Ren Kaiming He Ross Girshick Jian Sun	3
+	SSD: Single Shot MultiBox Detector	2016	Wei Liu Dragomir Anguelov Dumitru Erhan Christian Szegedy Scott Reed Cheng-Yang Fu Alexander C. Berg	3
+ PDF Chat	Shuffle and Learn: Unsupervised Learning Using Temporal Order Verification	2016	Ishan Misra C. Lawrence Zitnick Martial Hebert	3
+ PDF Chat	Discriminative Unsupervised Feature Learning with Exemplar Convolutional Neural Networks	2015	Alexey Dosovitskiy Philipp Fischer Jost Tobias Springenberg Martin Riedmiller Thomas Brox	3
+	DSSD : Deconvolutional Single Shot Detector	2017	Cheng-Yang Fu Wei Liu Ananth Ranga Ambrish Tyagi Alexander C. Berg	3
+ PDF Chat	Unsupervised Learning of Visual Representations Using Videos	2015	Xiaolong Wang Abhinav Gupta	3
+	Beyond Skip Connections: Top-Down Modulation for Object Detection	2016	Abhinav Shrivastava Rahul Sukthankar Jitendra Malik Abhinav Gupta	3
+ PDF Chat	Learning Features by Watching Objects Move	2017	Deepak Pathak Ross Girshick Piotr Dollár Trevor Darrell Bharath Hariharan	3
+ PDF Chat	Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles	2016	Mehdi Noroozi Paolo Favaro	3
+ PDF Chat	YFCC100M	2016	Bart Thomée David A. Shamma Gerald Friedland Benjamin Elizalde Karl Ni Douglas N. Poland Damian Borth Li-Jia Li	3
+ PDF Chat	Fully convolutional networks for semantic segmentation	2015	Jonathan Long Evan Shelhamer Trevor Darrell	3
+ PDF Chat	Learning Representations for Automatic Colorization	2016	Gustav Larsson Michael Maire Gregory Shakhnarovich	3
+ PDF Chat	Learning Visual Features from Large Weakly Supervised Data	2016	Armand Joulin Laurens van der Maaten Allan Jabri Nicolas Vasilache	3
+ PDF Chat	Transitive Invariance for Self-Supervised Visual Representation Learning	2017	Xiaolong Wang Kaiming He Abhinav Gupta	3
+ PDF Chat	Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation	2014	Ross Girshick Jeff Donahue Trevor Darrell Jitendra Malik	3
+	Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning	2016	Christian Szegedy Sergey Ioffe Vincent Vanhoucke Alexander A. Alemi	2
+	Feature Pyramid Networks for Object Detection	2016	Tsung-Yi Lin Piotr Dollár Ross Girshick Kaiming He Bharath Hariharan Serge Belongie	2
+ PDF Chat	Learning Image Representations Tied to Ego-Motion	2015	Dinesh Jayaraman Kristen Grauman	2
+	Data-Efficient Image Recognition with Contrastive Predictive Coding	2019	Olivier J. Hénaff Aravind Srinivas Jeffrey De Fauw Ali Razavi Carl Doersch S. M. Ali Eslami Aäron van den Oord	2
+	Deep Residual Learning for Image Recognition	2015	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+	Mid-Level Visual Representations Improve Generalization and Sample Efficiency for Learning Active Tasks.	2018	Alexander F. Sax Bradley Emi Amir Zamir Leonidas Guibas Silvio Savarese Jitendra Malik	2
+ PDF Chat	Pyramid Scene Parsing Network	2017	Hengshuang Zhao Jianping Shi Xiaojuan Qi Xiaogang Wang Jiaya Jia	2
+ PDF Chat	Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction	2017	Richard Zhang Phillip Isola Alexei A. Efros	2
+	R-FCN: Object Detection via Region-based Fully Convolutional Networks	2016	Jifeng Dai Yi Li Kaiming He Jian Sun	2
+ PDF Chat	Speed/Accuracy Trade-Offs for Modern Convolutional Object Detectors	2017	Jonathan Huang Vivek Rathod Chen Sun Menglong Zhu Anoop Korattikara Alireza Fathi Ian Fischer Zbigniew Wojna Yang Song Sergio Guadarrama	2
+ PDF Chat	Self-Supervised Video Representation Learning with Odd-One-Out Networks	2017	Basura Fernando Hakan Bilen Efstratios Gavves Stephen Jay Gould	2
+ PDF Chat	Representation Learning by Learning to Count	2017	Mehdi Noroozi Hamed Pirsiavash Paolo Favaro	2
+ PDF Chat	Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-scale Convolutional Architecture	2015	David Eigen Rob Fergus	2
+	Proximal Policy Optimization Algorithms	2017	John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov	2
+	SGDR: Stochastic Gradient Descent with Warm Restarts	2016	Ilya Loshchilov Frank Hutter	2
+ PDF Chat	Ambient Sound Provides Supervision for Visual Learning	2016	Andrew Owens Jiajun Wu Josh H. McDermott William T. Freeman Antonio Torralba	2