Geon Heo

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All published works

Action	Title	Year	Authors
+ PDF Chat	Better Think with Tables: Leveraging Tables to Enhance Large Language Model Comprehension	2024	Jio Oh Geon Heo Sang-Ho Oh Jindong Wang Xing Xie Steven Euijong Whang
+ PDF Chat	PFGuard: A Generative Framework with Privacy and Fairness Safeguards	2024	Soyeon Kim Yuji Roh Geon Heo Steven Euijong Whang
+ PDF Chat	Redactor: A Data-Centric and Individualized Defense against Inference Attacks	2023	Geon Heo Steven Euijong Whang
+	Personalized DP-SGD using Sampling Mechanisms	2023	Geon Heo Junseok Seo Steven Euijong Whang
+	Redactor: A Data-centric and Individualized Defense Against Inference Attacks	2022	Geon Heo Steven Euijong Whang
+	Responsible AI Challenges in End-to-end Machine Learning	2021	Steven Euijong Whang Ki Hyun Tae Yuji Roh Geon Heo
+ PDF Chat	Inspector gadget	2020	Geon Heo Yuji Roh Seonghyeon Hwang Dayun Lee Steven Euijong Whang
+	Inspector Gadget: A Data Programming-based Labeling System for Industrial Images	2020	Geon Heo Yuji Roh Seonghyeon Hwang Dayun Lee Steven Euijong Whang
+ PDF Chat	A Survey on Data Collection for Machine Learning: A Big Data - AI Integration Perspective	2019	Yuji Roh Geon Heo Steven Euijong Whang
+	A Survey on Data Collection for Machine Learning: a Big Data -- AI Integration Perspective	2018	Yuji Roh Geon Heo Steven Euijong Whang

Common Coauthors

Coauthor	Papers Together
Steven Euijong Whang	10
Yuji Roh	6
Dayun Lee	2
Seonghyeon Hwang	2
Junseok Seo	1
Xing Xie	1
Sang-Ho Oh	1
Soyeon Kim	1
Jindong Wang	1
Jio Oh	1
Ki Hyun Tae	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	AutoAugment: Learning Augmentation Policies from Data	2018	Ekin D. Cubuk Barret Zoph Dandelion Mané Vijay Vasudevan Quoc V. Le	4
+	Data Programming: Creating Large Training Sets, Quickly	2016	Alexander Ratner Christopher De Sen Wu Daniel Selsam Christopher Ré	3
+ PDF Chat	Data synthesis based on generative adversarial networks	2018	Noseong Park Mahmoud Mohammadi Kshitij Gorde Sushil Jajodia Hong‐Kyu Park Youngmin Kim	3
+ PDF Chat	A Survey on Data Collection for Machine Learning: A Big Data - AI Integration Perspective	2019	Yuji Roh Geon Heo Steven Euijong Whang	3
+	Synthesizing Tabular Data using Generative Adversarial Networks	2018	Lei Xu Kalyan Veeramachaneni	3
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	3
+ PDF Chat	Learning Deep Object Detectors from 3D Models	2015	Xingchao Peng Baochen Sun Karim Ali Kate Saenko	2
+	Large Scale Distributed Semi-Supervised Learning Using Streaming Approximation	2015	Sujith Ravi Qiming Diao	2
+ PDF Chat	Learning-Based Video Motion Magnification	2018	Tae-Hyun Oh Ronnachai Jaroensri Chang-Il Kim Mohamed Elgharib Frédo Durand William T. Freeman Wojciech Matusik	2
+	Scikit-learn: Machine Learning in Python	2012	Fabián Pedregosa Gaël Varoquaux Alexandre Gramfort Vincent Michel Bertrand Thirion Olivier Grisel Mathieu Blondel Peter Prettenhofer Ron J. Weiss Vincent Dubourg	2
+	Adversarial Example Generation with Syntactically Controlled Paraphrase Networks	2018	Mohit Iyyer John Wieting Kevin Gimpel Luke Zettlemoyer	2
+	NIPS 2016 Tutorial: Generative Adversarial Networks	2017	Ian Goodfellow	2
+ PDF Chat	Webly Supervised Learning of Convolutional Networks	2015	Xinlei Chen Abhinav Gupta	2
+	Generating Multi-label Discrete Patient Records using Generative Adversarial Networks	2017	Edward Choi Siddharth Biswal Bradley Malin Jon Duke Walter F. Stewart Jimeng Sun	2
+ PDF Chat	Are key-foreign key joins safe to avoid when learning high-capacity classifiers?	2017	Vraj Shah Arun Kumar Xiaojin Zhu	2
+	Spectral Normalization for Generative Adversarial Networks	2018	Takeru Miyato Toshiki Kataoka Masanori Koyama Yuichi Yoshida	2
+ PDF Chat	SMOTE: Synthetic Minority Over-sampling Technique	2002	Nitesh V. Chawla Kevin W. Bowyer Lawrence Hall W. Philip Kegelmeyer	2
+ PDF Chat	Web data extraction, applications and techniques: A survey	2014	Emilio Ferrara Pasquale De Meo Giacomo Fiumara Robert Baumgartner	2
+	Inferring Generative Model Structure with Static Analysis	2017	Paroma Varma Bryan He Payal Bajaj Imon Banerjee Nishith Khandwala Daniel L. Rubin Christopher Ré	2
+	BoostClean: Automated Error Detection and Repair for Machine Learning	2017	Sanjay Krishnan Michael J. Franklin Ken Goldberg Eugene Wu	2
+ PDF Chat	Snorkel	2017	Alexander Ratner Stephen H. Bach Henry R. Ehrenberg Jason Fries Sen Wu Christopher Ré	2
+ PDF Chat	On the limited memory BFGS method for large scale optimization	1989	Cheng‐Di Dong Jorge Nocedal	2
+ PDF Chat	Segmentation-based deep-learning approach for surface-defect detection	2019	Domen Tabernik Samo Šela J. Skvarč Danijel Skočaj	2
+	Adversarial Data Programming: Using GANs to Relax the Bottleneck of Curated Labeled Data	2018	Arghya Pal Vineeth N Balasubramanian	2
+ PDF Chat	Quality Control in Crowdsourcing: A Survey of Quality Attributes, Assessment Techniques, and Assurance Actions	2018	Florian Daniel Pavel Kucherbaev Cinzia Cappiello Boualem Benatallah Mohammad Allahbakhsh	2
+	Spreadsheet table transformations from examples	2011	William R. Harris Sumit Gulwani	2
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+ PDF Chat	Synthetic Data for Text Localisation in Natural Images	2016	Ankush Gupta Andrea Vedaldi Andrew Zisserman	2
+	MobileNetV2: Inverted Residuals and Linear Bottlenecks	2018	Mark Sandler Andrew Howard Menglong Zhu Andrey Zhmoginov Liang-Chieh Chen	2
+	The relativistic discriminator: a key element missing from standard GAN	2018	Alexia Jolicoeur‐Martineau	2
+	The GAN Landscape: Losses, Architectures, Regularization, and Normalization	2018	Karol Kurach Mario Lučić Xiaohua Zhai Marcin Michalski Sylvain Gelly	2
+ PDF Chat	A Survey on Deep Transfer Learning	2018	Chuanqi Tan Fuchun Sun Tao Kong Wenchang Zhang Chao Yang Chunfang Liu	2
+ PDF Chat	Automatic wrappers for large scale web extraction	2011	Nilesh Dalvi Ravi Kumar Mohamed A. Soliman	2
+	A sequential algorithm for training text classifiers	1994	David Lewis William A. Gale	2
+	ActiveClean	2016	Sanjay Krishnan Jiannan Wang Eugene Wu Michael J. Franklin Ken Goldberg	2
+	Synthetic Data and Artificial Neural Networks for Natural Scene Text Recognition	2014	Max Jaderberg Karen Simonyan Andrea Vedaldi Andrew Zisserman	2
+ PDF Chat	Mechanical Novel: Crowdsourcing Complex Work through Reflection and Revision	2017	Joy Kim Sarah Sterman Allegra A. Beal Cohen Michael S. Bernstein	2
+	Generative Adversarial Networks: A Survey and Taxonomy.	2019	Zhengwei Wang Qi She Tomás E. Ward	2
+	CLAMShell: Speeding up Crowds for Low-latency Data Labeling	2015	Daniel Haas Jiannan Wang Eugene Wu Michael J. Franklin	2
+	Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks	2015	Shaoqing Ren Kaiming He Ross Girshick Jian Sun	2
+ PDF Chat	Towards linear algebra over normalized data	2017	Lingjiao Chen Arun Kumar Jeffrey F. Naughton Jignesh M. Patel	2
+	Distributed Representations of Words and Phrases and their Compositionality	2013	Tomáš Mikolov Ilya Sutskever Kai Chen Greg S. Corrado Jeffrey Dean	1
+	AutoAugment: Learning Augmentation Policies from Data	2018	Ekin D. Cubuk Barret Zoph Dandelion Mané Vijay K. Vasudevan Quoc V. Le	1
+ PDF Chat	Mechanical Novel	2017	Joy Kim Sarah Sterman Allegra A. Beal Cohen Michael S. Bernstein	1
+	Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks	2018	Ali Shafahi W. Ronny Huang Mahyar Najibi Octavian Suciu Christoph Studer Tudor Dumitraş Tom Goldstein	1
+	How transferable are features in deep neural networks?	2014	Jason Yosinski Jeff Clune Yoshua Bengio Hod Lipson	1
+ PDF Chat	Redactor: A Data-Centric and Individualized Defense against Inference Attacks	2023	Geon Heo Steven Euijong Whang	1
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	1
+	Explaining and Harnessing Adversarial Examples	2014	Ian Goodfellow Jonathon Shlens Christian Szegedy	1
+ PDF Chat	Certifying and Removing Disparate Impact	2015	Michael Feldman Sorelle A. Friedler John Moeller Carlos Scheidegger Suresh Venkatasubramanian	1