Past Events
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Holistic measurement and mitigation of social bias in generative LMs
Date: Friday, March 3, 2023, 03:00PMSpeaker: Eric Smith, MetaLocation: 60FA, Room 204 -
Searching for the Implicit Bias of Deep Learning
Date: Thursday, March 2, 2023, 03:30PMSpeaker: Matus Telgarski, University of Illinois, Urbana-ChampaignLocation: 60FA, Room C15 -
MAD Seminar: TBD
Date: Thursday, March 2, 2023, 02:00PMSpeaker: Andre Wibisono, Yale UniversityLocation: 60FA, Room 150 -
Enabling Self-sufficient Robot Learning
Date: Thursday, March 2, 2023, 02:00PMSpeaker: Rika Antonova, Stanford UniversityLocation: Location TBA -
Cancelled: Scalable Natural Language Processing for Transforming Medicine
Date: Wednesday, March 1, 2023, 02:00PMSpeaker: Monica Agrawal, MITLocation: 60FA -
Advances in Machine Learning for Predicting and Monitoring Stress and Resilience
Date: Tuesday, February 28, 2023, 11:00AMSpeaker: Katharina Schultebraucks, NYULocation: RGSH, Room 475 -
Unearthing sources of bias: A sociolinguistically-informed analysis of single- and multi-phone ASR errors on a multiethnic corpus
Date: Friday, February 24, 2023, 03:30PMSpeaker: Alicia Beckford Wassink, University of WashingtonLocation: 10WP -
ML-NYC Speaker Series: Evaluating and Understanding the In-context Learning Ability of Language Models
Date: Thursday, February 23, 2023, 04:00PMSpeaker: He He, NYULocation: OFFC -
MaD Seminar: Opening the neural network black box
Date: Thursday, February 23, 2023, 02:00PMSpeaker: Brice Menard, JHULocation: 60FA, Room 150 -
MAD Seminar: Participation Dynamics in Learning Systems
Date: Thursday, February 16, 2023, 02:00PMSpeaker: Sarah DeanLocation: 60FA, Room 150