Conditional Synthetic Data Generation for Robust Machine Learning Applications with Limited Pandemic Data

14 September 2021

Alberto L. Sangiovanni-Vincentelli

Papers citing "Conditional Synthetic Data Generation for Robust Machine Learning Applications with Limited Pandemic Data"

25 / 25 papers shown

Title
A Bias-Variance Decomposition for Ensembles over Multiple Synthetic Datasets Ossi Raisa Antti Honkela 92 1 0 06 Feb 2024
CDCGen: Cross-Domain Conditional Generation via Normalizing Flows and Adversarial Training Hari Prasanna Das Ryan Tran Japjot Singh Yu-Wen Lin C. Spanos OOD 38 11 0 25 Aug 2021
Enforcing Policy Feasibility Constraints through Differentiable Projection for Energy Optimization Bingqing Chen Neural Network Kyri Baker J. Zico Kolter Mario Berges 35 56 0 19 May 2021
CovidGAN: Data Augmentation Using Auxiliary Classifier GAN for Improved Covid-19 Detection Abdul Waheed Muskan Goyal Deepak Gupta Ashish Khanna F. Al-turjman P. Pinheiro MedIm 64 577 0 08 Mar 2021
COVID-19 detection from scarce chest x-ray image data using few-shot deep learning approach Shruti Jadon 36 39 0 11 Feb 2021
Reinforcement Learning for Optimization of COVID-19 Mitigation policies Varun Kompella Roberto Capobianco Stacy Jong Jonathan Browne S. Fox L. Meyers Peter R. Wurman Peter Stone 92 48 0 20 Oct 2020
COVIDNet-CT: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest CT Images Hayden Gunraj Linda Wang A. Wong OOD 16 205 0 08 Sep 2020
COVID-19 CT Image Synthesis with a Conditional Generative Adversarial Network Yifan Jiang Han Chen Murray H. Loew Hanseok Ko DiffM MedIm 64 128 0 29 Jul 2020
Decoupling Global and Local Representations via Invertible Generative Flows Xuezhe Ma X. Kong Shanghang Zhang Eduard H. Hovy DRL 47 3 0 12 Apr 2020
COVID-Net: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-Ray Images Linda Wang A. Wong OOD 76 2,493 0 22 Mar 2020
Domain-Adaptive Few-Shot Learning An Zhao Mingyu Ding Zhiwu Lu Tao Xiang Yulei Niu Jiechao Guan Ji-Rong Wen Ping Luo 41 69 0 19 Mar 2020
Few-shot Domain Adaptation by Causal Mechanism Transfer Takeshi Teshima Issei Sato Masashi Sugiyama OOD CML TTA 55 86 0 10 Feb 2020
DermGAN: Synthetic Generation of Clinical Skin Images with Pathology Amirata Ghorbani Vivek Natarajan David Coz Yuan Liu GAN MedIm 81 99 0 20 Nov 2019
Design, Benchmarking and Explainability Analysis of a Game-Theoretic Framework towards Energy Efficiency in Smart Infrastructure Ioannis C. Konstantakopoulos Hari Prasanna Das Andrew R. Barkan Shiying He Tanya Veeravalli Huihan Liu Aummul Baneen Manasawala Yu-Wen Lin C. Spanos 39 21 0 16 Oct 2019
A Novel Graphical Lasso based approach towards Segmentation Analysis in Energy Game-Theoretic Frameworks Hari Prasanna Das Ioannis C. Konstantakopoulos Aummul Baneen Manasawala Tanya Veeravalli Huihan Liu C. Spanos 19 21 0 05 Oct 2019
Conditional Adversarial Generative Flow for Controllable Image Synthesis R. Liu Yu Liu Xinyu Gong Xiaogang Wang Hongsheng Li 50 45 0 03 Apr 2019
Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design Jonathan Ho Xi Chen A. Srinivas Yan Duan Pieter Abbeel DRL 51 446 0 01 Feb 2019
Whole-Slide Image Focus Quality: Automatic Assessment and Impact on AI Cancer Detection Timo Kohlberger Yun-Hui Liu M. Moran Po-Hsuan Cameron Chen Chen Trissia Brown C. Mermel J. Hipp Martin C. Stumpe 48 78 0 15 Jan 2019
Glow: Generative Flow with Invertible 1x1 Convolutions Diederik P. Kingma Prafulla Dhariwal BDL DRL 214 3,110 0 09 Jul 2018
Few-Shot Adversarial Domain Adaptation Saeid Motiian Q. Jones Seyed Mehdi Iranmanesh Gianfranco Doretto 58 410 0 05 Nov 2017
Improved Techniques for Training GANs Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen GAN 380 8,999 0 10 Jun 2016
Faster Eigenvector Computation via Shift-and-Invert Preconditioning Dan Garber Laurent Dinh Chi Jin Jascha Narain Sohl-Dickstein Samy Bengio Praneeth Netrapalli Aaron Sidford 187 3,681 0 26 May 2016
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs) Djork-Arné Clevert Thomas Unterthiner Sepp Hochreiter 220 5,502 0 23 Nov 2015
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 335 43,511 0 17 Sep 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 372 16,962 0 20 Dec 2013