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DataPerf: Benchmarks for Data-Centric AI Development
Mark Mazumder, Colby Banbury, Xiaozhe Yao, Bojan Karlaš, William Gaviria Rojas, Sudnya Diamos, Greg Diamos, Lynn He, Alicia Parrish, Hannah Rose Kirk, Jessica Quaye, Charvi Rastogi, Douwe Kiela, David Jurado, David Kanter, Rafael Mosquera, Juan Ciro, Lora Aroyo, Bilge Acun, Lingjiao Chen, Mehul Smriti Raje, Max Bartolo, Sabri Eyuboglu, Amirata Ghorbani, Emmett Goodman, Oana Inel, Tariq Kane, Christine R. Kirkpatrick, Tzu-Sheng Kuo, Jonas Mueller, Tristan Thrush, Joaquin Vanschoren, Margaret Warren, Adina Williams, Serena Yeung, Newsha Ardalani, Praveen Paritosh, Lilith Bat-Leah, Ce Zhang, James Zou, Carole-Jean Wu, Cody Coleman, Andrew Ng, Peter Mattson, Vijay Janapa Reddi
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks (NeurIPS), 2023.
Challenge: dataperf.org
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Multilingual Spoken Words Corpus
Mark Mazumder, Sharad Chitlangia, Colby Banbury, Yiping Kang, Juan Manuel Ciro, Keith Achorn, Daniel Galvez, Mark Sabini, Peter Mattson, David Kanter, Greg Diamos, Pete Warden, Josh Meyer, Vijay Janapa Reddi
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks (NeurIPS), 2021.
Harvard News: Voice technology for the rest of the world
Press: How to Democratize ML?
Dataset Download: mlcommons.org/words
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Active Rendezvous for Multi-Robot Pose Graph Optimization using Sensing over Wi-Fi
Weiying Wang, Ninad Jadhav, Paul Vohs, Nathan Hughes, Mark Mazumder, Stephanie Gil
International Symposium on Robotics Research (ISRR), 2019
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Guaranteeing Spoof-Resilient Multi-Robot Networks
Stephanie Gil, Swarun Kumar, Mark Mazumder, Dina Katabi, Daniela Rus
Autonomous Robots, 2017.
MIT News: Security for Multirobot Systems.
This journal article subsumes our 2015 RSS paper.
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Students train the MIT RACECAR to autonomously drive through Stata basement, using only monocular RGB camera inputs. This course provides students with an introduction to deep learning and embedded robotics.
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Instructor, MIT NEET-AM Machine Learning Labs, Faculty: Prof. Sertac Karaman. Spring 2019
NVIDIA coverage: MIT Students Kick Self-Driving Mini-Cars into High Gear with GPU-Powered Data Science Workstations
Instructor, MIT 6.S184/16.S685 RACECAR IAP Jan 2019
Instructor, MIT 16.S688 Autonomous Machines Seminar, Faculty: Prof. Sertac Karaman. Fall 2018
Lab assistant, MIT 16.30/16.31 Feedback Control Systems, Faculty: Prof. Sertac Karaman. Fall 2018
Instructor, MIT 6.A01 Autonomous Racecar Robotics Seminar, Faculty: Prof. Sertac Karaman. Fall 2017
Lab assistant, MIT 6.829 Computer Networks, Faculty: Prof. Dina Katabi. Fall 2015
Teaching Fellow, Harvard CS161: Operating Systems, Faculty: Prof. Margo Seltzer. Spring 2011
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Learning, Perception, and Action Workshop at ICRA 2020
I am a co-organizer for the autonomous treasure hunt (ATH) competition as part of our ICRA 2020 workshop. This challenge required particpants to jointly optimize strategies for perception and exploration in a photo-realistic Unity-based simulation environment.
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