2019 Q2/Q3 AWS Machine Learning Research Awards recipients announced

The AWS Machine Learning Research Awards (MLRA) provides unrestricted cash funds and AWS Promotional Credits to academics to advance the frontiers of machine learning (ML) and its applications. MLRA is pleased to announce recipients for its 2019 Q2/Q3 call-for-proposal cycles:

RecipientUniversityResearch title
David C. ParkesHarvard UniversityDeep Learning Framework for Optimal Economic Design
Fei LiuUniversity of Central FloridaMeeting Browsing with Multiple Granularities: Automatic Summarization and Keyphrase Extraction
Jeffrey LiuMassachusetts Institute of TechnologyIntegrating the Low Altitude Disaster Imagery (LADI) Dataset into the MIT Beaver Works Curriculum
Joseph F. CoughlinMassachusetts Institute of TechnologySemi-automated Eye Glance Annotation and Classification using AWS Enabled Tools
Karen LivescuToyota Technological Institute at ChicagoMultilingual Acoustic-Semantic Embeddings of Spoken Language
Katherine E. Battle and Andre PythonUniversity of OxfordA Bayesian Reinforcement Learning Algorithm to Predict the Risk of Malaria in Low-endemicity Context
Michael MahoneyUniversity of California BerkeleyEfficient Neural Networks through Systematic Quantization
Mohit BansalUniversity of North Carolina Chapel HillAuto-Adversarial Training to Make Dialogue Systems Robust to Human Errors
Philip ResnikUniversity of MarylandMachine Learning for Mental Health in a Secure AWS Data Enclave
Roghayeh (Leila) BarmakiUniversity of DelawareApplied Machine Learning for Social Development of Children with Autism
Scott LoarieiNaturalistLearning a Training Dataset for Large-scale Classification
Stefano ErmonStanford UniversityDetecting and Handling Anomalies with Robust Machine Learning Systems
Yong Jae LeeUniversity of California DavisReal-time Object Instance Segmentation

Congratulations to these researchers and we look forward to supporting their research!

MLRA is now funded though the Amazon Research Awards (ARA) program. Please see the AWS AI call for proposal for more information.


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Amazon Research Awards

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