Harvard's CRCS

Kentaro Toyama talk recording

Harvard's CRCS

CRCS Seminar Series, Sara Beery Generalization vs Specialization in Computer Vision for Ecology

Harvard's CRCS

CRCS Seminar Series Catherine D'Ignazio 9182023

Harvard's CRCS

CRCS Seminar Peter James

Harvard's CRCS

CRCS Seminar Valerie Pasquarella

Harvard's CRCS

CRCS Seminar - Conrad Tucker

Harvard's CRCS

Marzyeh Ghassemi F-AI-Rest Of Them All

Harvard's CRCS

IJCAI 2020 AI for Social Good workshop

Harvard's CRCS

Harvard CRCS Rising Stars 2021 Technology and Society

Harvard's CRCS

Harvard CRCS Rising Stars 2021 Fairness - Paul Gölz

Harvard's CRCS

Harvard CRCS Rising Stars 2021 Fairness - Angela Zhou

Harvard's CRCS

Harvard CRCS Rising Stars 2021 Fairness - Ana Stoica

Harvard's CRCS

Harvard CRCS Rising Stars 2021 Conservation

Harvard's CRCS

Arpita Biswas - Fair Allocation of Indivisible Goods under Structured Set Systems - EconCS Seminar

Harvard's CRCS

Harvard CRCS Rising Stars 2021 Health

Harvard's CRCS

Lauren Wilcox Participatory approaches to AI in digital health and well-being

Harvard's CRCS

CRCS AI for Social Impact Seminar Stevie Chancellor

Harvard's CRCS

Eric Rice Using AI to Augment HIV Prevention Interventions for Homeless Youth

Harvard's CRCS

Oren Etzioni Scientific Natural Language Processing and the Fight Against COVID-19

Harvard's CRCS

Stefano Ermon Measuring Economic Development from Space with Machine Learning

Harvard's CRCS

Elaine Nsoesie Addressing Problems in Global Health with Non-traditional Data and Machine Learning

Harvard's CRCS

Madhav Marathe Real-time pandemic planning and response Experiences from the COVID-19 pandemic

Harvard's CRCS

Sera Linardi Lessons from Imperfect Attempts to Serve (from Academia)

Harvard's CRCS

Maimuna Majumder Real-time pandemic planning & response Experiences from the COVID-19 pandemic

Harvard's CRCS

Danielle Belgrave Machine learning for healthcare Steps towards a personalized approach

Harvard's CRCS

Aditya Grover Bias in Generative Modeling

Harvard's CRCS

Hima Lakkaraju How can we fool LIME and SHAP Adversarial Attacks on Explanation Methods

Harvard's CRCS

David Kempe Security Games Quasi-Regular Sequences, and a New Version of TSP

Harvard's CRCS

Eugene Vorobeychik Adversarial Machine Learning from Models to Practice

Harvard's CRCS

Max Kleiman-Weiner Reverse Engineering Human Morality

Harvard's CRCS