Jose Javier Gonzalez Ortiz

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All published works

Action	Title	Year	Authors
+ PDF Chat	MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance	2024	Hallee E. Wong Jose Javier Gonzalez Ortiz John V. Guttag Adrian V. Dalca
+ PDF Chat	Tyche: Stochastic In-Context Learning for Medical Image Segmentation	2024	Marianne Rakic Hallee E. Wong Jose Javier Gonzalez Ortiz Beth A. Cimini John V. Guttag Adrian V. Dalca
+ PDF Chat	UniverSeg: Universal Medical Image Segmentation	2023	Victor Ion Butoi Jose Javier Gonzalez Ortiz Tianyu Ma Mert R. Sabuncu John V. Guttag Adrian V. Dalca
+	UniverSeg: Universal Medical Image Segmentation	2023	Victor Ion Butoi Jose Javier Gonzalez Ortiz Tianyu Ma Mert R. Sabuncu John V. Guttag Adrian V. Dalca
+	Scale-Space Hypernetworks for Efficient Biomedical Imaging	2023	Jose Javier Gonzalez Ortiz John V. Guttag Adrian V. Dalca
+	Magnitude Invariant Parametrizations Improve Hypernetwork Learning	2023	Jose Javier Gonzalez Ortiz John V. Guttag Adrian V. Dalca
+	Trade-offs of Local SGD at Scale: An Empirical Study	2021	Jose Javier Gonzalez Ortiz Jonathan Frankle Mike Rabbat Ari S. Morcos Nicolas Ballas
+	What is the State of Neural Network Pruning	2020	Davis Blalock Jose Javier Gonzalez Ortiz Jonathan Frankle John V. Guttag
+	What is the State of Neural Network Pruning	2020	Davis Blalock Jose Javier Gonzalez Ortiz Jonathan Frankle John Guttag
+	What is the State of Neural Network Pruning?	2020	Davis Blalock Jose Javier Gonzalez Ortiz Jonathan Frankle John V. Guttag
+	Image segmentation of liver stage malaria infection with spatial uncertainty sampling	2019	Ava P. Soleimany Harini Suresh Jose Javier Gonzalez Ortiz Divya Shanmugam Nil Gural John V. Guttag Sangeeta N. Bhatia
+	A Simple Power Analysis Attack on the Twofish Key Schedule	2016	Jose Javier Gonzalez Ortiz Kevin J. Compton

Common Coauthors

Coauthor	Papers Together
John V. Guttag	9
Adrian V. Dalca	6
Jonathan Frankle	4
Davis Blalock	3
Victor Ion Butoi	2
Mert R. Sabuncu	2
Tianyu Ma	2
Hallee E. Wong	2
Marianne Rakic	1
Nil Gural	1
John Guttag	1
Harini Suresh	1
Ava P. Soleimany	1
Divya Shanmugam	1
Kevin J. Compton	1
Mike Rabbat	1
Beth A. Cimini	1
Sangeeta N. Bhatia	1
Ari S. Morcos	1
Nicolas Ballas	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	2
+ PDF Chat	Identity Mappings in Deep Residual Networks	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	1
+	Parallel training of DNNs with Natural Gradient and Parameter Averaging	2014	Daniel Povey Xiaohui Zhang Sanjeev Khudanpur	1
+ PDF Chat	Efficient object localization using Convolutional Networks	2015	Jonathan Tompson Ross Goroshin Arjun Jain Yann LeCun Christoph Bregler	1
+ PDF Chat	A General SIMD-Based Approach to Accelerating Compression Algorithms	2015	Wayne Xin Zhao Xudong Zhang Daniel Lemire Dongdong Shan Jian‐Yun Nie Hongfei Yan Ji-Rong Wen	1
+ PDF Chat	Accelerating Very Deep Convolutional Networks for Classification and Detection	2015	Xiangyu Zhang Jianhua Zou Kaiming He Jian Sun	1
+ 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	1
+	Speeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition	2014	Vadim Lebedev Yaroslav Ganin Maksim Rakhuba Ivan Oseledets Victor Lempitsky	1
+	Parallelized Stochastic Gradient Descent	2010	Martin Zinkevich Markus Weimer Lihong Li Alex Smola	1
+	Parallel SGD: When does averaging help?	2016	Jian Zhang Christopher De Ioannis Mitliagkas Christopher Ré	1
+	On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima	2016	Nitish Shirish Keskar Dheevatsa Mudigere Jorge Nocedal Mikhail Smelyanskiy Ping Tang	1
+	Accelerating Convolutional Neural Networks for Mobile Applications	2016	Peisong Wang Jian Cheng	1
+	The power of sparsity in convolutional neural networks	2017	Soravit Changpinyo Mark Sandler Andrey Zhmoginov	1
+	What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?	2017	Alex Kendall Yarin Gal	1
+ PDF Chat	Efficient Processing of Deep Neural Networks: A Tutorial and Survey	2017	Vivienne Sze Yu‐Hsin Chen Tien-Ju Yang Joel Emer	1
+ PDF Chat	More is Less: A More Complicated Network with Less Inference Complexity	2017	Xuanyi Dong Junshi Huang Yi Yang Shuicheng Yan	1
+	Diversity Networks: Neural Network Compression Using Determinantal Point Processes	2015	Zelda Mariet Suvrit Sra	1
+	Bayesian Compression for Deep Learning	2017	Christos Louizos Karen Ullrich Max Welling	1
+	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	1
+	Pruning Convolutional Neural Networks for Resource Efficient Inference	2016	Pavlo Molchanov Stephen Tyree Tero Karras Timo Aila Jan Kautz	1
+	Large Batch Training of Convolutional Networks	2017	Yang You Igor Gitman Boris Ginsburg	1
+	QSGD: Communication-Efficient SGD via Gradient Quantization and Encoding	2016	Dan Alistarh Demjan Grubic Jerry Li Ryota Tomioka Milan Vojnović	1
+ PDF Chat	Auto-Balanced Filter Pruning for Efficient Convolutional Neural Networks	2018	Xiaohan Ding Guiguang Ding Jungong Han Sheng Tang	1
+	Slow and Stale Gradients Can Win the Race: Error-Runtime Trade-offs in Distributed SGD	2018	Sanghamitra Dutta Gauri Joshi Soumyadip Ghosh Parijat Dube Priya Nagpurkar	1
+	Local SGD Converges Fast and Communicates Little	2018	Sebastian U. Stich	1
+	Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks	2018	Yang He Guoliang Kang Xuanyi Dong Yanwei Fu Yi Yang	1
+	PCAS: Pruning Channels with Attention Statistics.	2018	Kohei Yamamoto Kurato Maeno	1
+ PDF Chat	Extreme Network Compression via Filter Group Approximation	2018	Bo Peng Wenming Tan Zheyang Li Shun Zhang Di Xie Shiliang Pu	1
+ PDF Chat	Coreset-Based Neural Network Compression	2018	Abhimanyu Dubey Moitreya Chatterjee Narendra Ahuja	1
+ PDF Chat	Sprintz	2018	Davis Blalock Samuel Madden John V. Guttag	1
+	Don't Use Large Mini-Batches, Use Local SGD	2018	Tao Lin Sebastian U. Stich Kumar Kshitij Patel Martin Jaggi	1
+	Spectral-Pruning: Compressing deep neural network via spectral analysis	2018	Taiji Suzuki Hiroshi Abe Tomoya Murata Shingo Horiuchi Kotaro Ito Tokuma Wachi So Hirai Masatoshi Yukishima T. Nishimura	1
+	Cooperative SGD: A unified Framework for the Design and Analysis of Communication-Efficient SGD Algorithms	2018	Jianyu Wang Gauri Joshi	1
+	Benchmark Analysis of Representative Deep Neural Network Architectures	2018	Simone Bianco Rémi Cadène Luigi Celona Paolo Napoletano	1
+	Adaptive Communication Strategies to Achieve the Best Error-Runtime Trade-off in Local-Update SGD	2018	Jianyu Wang Gauri Joshi	1
+	Rethinking the Value of Network Pruning	2018	Zhuang Liu Mingjie Sun Tinghui Zhou Gao Huang Trevor Darrell	1
+ PDF Chat	Balanced Sparsity for Efficient DNN Inference on GPU	2019	Zhuliang Yao Shi-Jie Cao Wencong Xiao Chen Zhang Lanshun Nie	1
+	Measuring the Effects of Data Parallelism on Neural Network Training	2018	Christopher J. Shallue Jaehoon Lee Joseph M. Antognini Jascha Sohl‐Dickstein Roy Frostig George E. Dahl	1
+ PDF Chat	Parallel Restarted SGD with Faster Convergence and Less Communication: Demystifying Why Model Averaging Works for Deep Learning	2019	Hao Yu Sen Yang Shenghuo Zhu	1
+	signSGD with Majority Vote is Communication Efficient And Fault Tolerant	2018	Jeremy Bernstein Jiawei Zhao Kamyar Azizzadenesheli Anima Anandkumar	1
+	Error Feedback Fixes SignSGD and other Gradient Compression Schemes	2019	Sai Praneeth Karimireddy Quentin Rebjock Sebastian U. Stich Martin Jaggi	1
+	Jointly Sparse Convolutional Neural Networks in Dual Spatial-Winograd Domains	2019	Yoojin Choi Mostafa El‐Khamy Jungwon Lee	1
+	EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks	2019	Mingxing Tan Quoc V. Le	1
+ PDF Chat	Learning Efficient Convolutional Networks through Network Slimming	2017	Zhuang Liu Jianguo Li Zhiqiang Shen Gao Huang Shoumeng Yan Changshui Zhang	1
+	Asynchronous Decentralized Parallel Stochastic Gradient Descent	2017	Xiangru Lian Wei Zhang Ce Zhang Ji Liu	1
+	Pruning Filters for Efficient ConvNets	2016	Hao Li Asim Kadav Igor Đurđanović Hanan Samet Hans Peter Graf	1
+	Compression of Deep Convolutional Neural Networks for Fast and Low Power Mobile Applications	2015	Yong‐Deok Kim Eunhyeok Park Sungjoo Yoo Tae‐Lim Choi Yang Lu Dongjun Shin	1
+	Learning Structured Sparsity in Deep Neural Networks	2016	Wei Wen Chunpeng Wu Yandan Wang Yiran Chen Hai Li	1
+ PDF Chat	NISP: Pruning Networks Using Neuron Importance Score Propagation	2018	Ruichi Yu Ang Li Chun-Fu Chen Jui-Hsin Lai Vlad I. Morariu Xintong Han Mingfei Gao Ching‐Yung Lin Larry S. Davis	1