AI for Social Good Workshop ICLR2019

Paper ID	Paper Title	Author Names
23	Towards the Standardization of Data Licenses	Misha Benjamin (Element AI); Paul Gagnon (Element AI); Negar Rostamzadeh (Element AI); Chris Paul (UdeM); Yoshua Bengio (Mila); Alex Shee (Element AI)
42	AI-based evaluation of the SDGs - The case of crop detection with earth observation data Agriculture	Natalia Efremova (University of Oxford); Dennis West (University of Oxford); Dmitry Zausaev (Deep Planet)
20	Customizable Facial Gesture Recognition for Improved Assistive Technology Assistive Tech	Kuan-Chieh Wang (University of Toronto); Jixuan Wang (University of Toronto); Khai Truong (University of Toronto); Richard Zemel (University of Toronto)
3	Deep Learning to Predict Student Outcomes Education	Byung-Hak Kim (Udacity)
21	Unsupervised Recommendation and Discovery of an Education Marketplace Education	Akshay Budhkar (Georgian Partners); Will Bradbeer (Top Hat); Parinaz Sobhani (Georgian Partners)
24	Visualizing the Consequences of Climate Change Using Cycle-Consistent Adversarial Networks Environmental	Victor Schmidt (Mila); Alexandra Luccioni (Mila); S. Karthik Mukkavilli (Mila); Kris Sankaran (Mila); Yoshua Bengio (Mila); Narmada Balasooriya (ConscientAI Labs); Jennifer Chayes (Microsoft Research New England)
12	Structure-Based Networks for Drug Validation Health	Cătălina Cangea (University of Cambridge); Arturas Grauslys (University of Liverpool); Pietro Lio (University of Cambridge); Francesco Falciani (University of Liverpool)
26	Predicting Survival after surgery for brain tumour patients - A machine learning study on clinical and molecular data Health	Patric Fulop (University of Edinburgh); Areti Manataki (University of Edinburgh); Alex Agachi (Empiric Capital); Paul Pop (Neurolaboratories Limited)
29	Reducing leakage in distributed deep learning for sensitive health data Health	Praneeth Vepakomma (MIT); Otkrist Gupta (MIT); Abhimanyu Dubey (MIT); Ramesh Raskar (MIT)
30	RxRx1 - An image set for cellular morphological variation across many experimental batches Health	James Taylor (Recursion Pharmaceuticals); Berton Earnshaw (Recursion Pharmaceuticals); Ben Mabey (Recursion Pharmaceuticals); Mason Victors (Recursion Pharmaceuticals); Jason Yosinski (Uber AI Labs)
31	Split learning for health - Distributed deep learning without sharing raw patient data Health	Praneeth Vepakomma (MIT); Otkrist Gupta (MIT); Tristan Swedish (MIT); Ramesh Raskar (MIT)
32	Neural Transfer Learning for the Diagnosis of Perinatal Asphyxia Health	Charles C Onu (McGill University); Jonathan Lebensold (McGill University); William L Hamilton (McGill University); Doina Precup (McGill University)
52	Best poster A Knowledge Graph-based Approach for Exploring the U.S. Opioid Epidemic Health	Maulik R Kamdar (Stanford University); Tymor Hamamsy (Stanford University); Shea Shelton (Stanford University); Ayin Vala (Stanford University, Foundation for Precision Medicine); Tome Eftimov (Stanford University); James Zou (Stanford University); Suzanne Tamang (Stanford University)
18	Working women and caste in India - A study of social disadvantage using feature attribution Social Welfare	Kuhu Joshi (International Food Policy Research Institute); Chaitanya K Joshi (Nanyang Technological University)
49	Mapping Informal Settlements in Developing Countries with Multi-resolution, Multi-spectral Data Sustainable Dev	Patrick Helber (DFKI, TU KL); Bradley J Gram-Hansen (University of Oxford); Indhu Varatharajan (German Aerospace Center DLR); Faiza Azam (Independent researcher); Alejandro Coca-Castro (Kings College London); Veronika Kopackova (Czech Geological Survey); Piotr Bilinski (University of Oxford, University of Warsaw)
7	Best paper A pipeline for emergency response Urban Planning	Ayan Mukhopadhyay (Vanderbilt University); Yevgeniy Vorobeychik (Washington University in St. Louis)
36	High-frequency crowd insights for public safety and congestion control Urban Planning	Karthik Nandakumar (IBM Research, Singapore); Sebastien Blandin (IBM Research, Singapore); Laura Wynter (IBM Research, Singapore)
48	Multi-Task Learning for Segmentation of Building Footprints with Neural Networks Urban Planning	Benjamin Bischke (DFKI, TU KL); Patrick Helber (DFKI, TU KL); Joachim Folz (DFKI, TU KL); Andreas Dengel (DFKI, TU KL); Damian Borth (University of St. Gallen)

Accepted Papers

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