You enter a dark forest
. Standing in front of you is:
A professor named Hal Daumé III (he/him).
He wields appointments in
Computer Science where he is a
Perotto Professor, as well as
Language Science at
in Spring 2023 he's teaching AI;
in Fall 2022 he taught Human-AI Interaction and
in Fall 2021, Just
Machine Learning); he is also a Senior Principal Researcher the machine learning and fairness
groups at Microsoft Research NYC.
He and his wonderful advisees
like to study
questions related to how to get machines to becomes more adept at
human language (and artificial intelligence tasks more broadly),
by developing models and algorithms that allow them
to learn from data. (Keywords: natural language processing and machine
The two major questions that really drive their research these days are:
(1) how can we get computers to learn
through natural interaction with people/users?
and (2) how can we do this in a way that minimize harms
in the learned models?
He's discussed interactive learning informally in a Talking Machines Podcast
and more technically in recent talks;
and has discussed fairness/bias in broad terms in a (now somewhat outdated) blog post.
He is the author of the online textbook A Course in Machine Learning,
which is fully open source.
Hal is super fortunate to be a member of, and have awesome colleagues in the Computional
Linguistics and Information Processing Lab (which he formerly
the Human-Computer Interaction Lab,
and the Center for Machine Learning.
If you want to contact him, email is your best bet; you can
also find him on @haldaume3
on Twitter. Or, in person, in his office
If you're a prospective grad student or grad applicant, please read
his FAQ to answer some common questions.
If you're thinking of inviting him for a talk or event, please ensure
that the event is organized in an inclusive manner (inclusion rider).
More generally, if you are organizing a conference, workshop or other
event, you may wish to read the NeurIPS D&I survey
results (joint with Katherine Heller),
Humberto Corona's collection of resources/advice,
or two blog posts on this topic.
I acknowledge that I live and work on the ancestral and unceded lands of the Piscataway People, who were among the first in the Western Hemisphere to encounter European colonists, as well as the lands of the Lenape and Nacotchtank people.
Promoting Fairness in Learned Models by Learning to Active Learn under Parity Constraints
Amr Sharaf and Hal Daumé III
Toward Gender-Inclusive Coreference Resolution: An Analysis of Gender and Bias Throughout the Machine Learning Lifecycle
Yang Trista Cao and Hal Daumé III
Computational Linguistics, 2022
Heterogeneous Supervised Topic Models
Dhanya Sridhar, Hal Daumé III and David Blei
What's Different between Visual Question Answering for Machine "Understanding" Versus for Accessibility?
Yang Trista Cao, Kyle Seelman, Kyungjun Lee and Hal Daumé III
🏆 Best Theme Paper
A framework for learning to request rich and contextually useful information from humans
Khanh Nguyen, Yonatan Bisk and Hal Daumé III
International Conference on Machine Learning (ICML), 2022
More papers please!
AI UK: Doing better in data science – from algorithmic fairness to diversity
Anjali Mazumder, Shakir Mohamed, Danielle Belgrave, Maria De-Arteaga, and Hal Daumé III
The Alan Turing Institute AI UK Roadmap, March 2021
Coded Bias Panel Discussion at the University of Maryland
Margrét Bjarnadóttir, Nicol Turner Lee, Deborah Raji, Adam Wenchel, and Hal Daumé III (moderator)
Responsible AI Systems and Experiences
Abolfazl Asudeh (moderator), Hal Daumé III, Golnoosh Farnadi, Bernease Herman, Bill Howe (moderator), Yuval Moskovitch, Katie Shilton, and Jenn Wortman Vaughan
Panel at VLDB 2021
Tech Ethics in a Changing World
Catherine Bannister, Mary Lacity, Cindy Moehring, and Hal Daumé III
Northwest Arkansas Tech Summit, 2021
Language (Technology) Is Power: Exploring the Inherent Complexity of NLP Systems
Hal Daumé III and Sam Charrington (host)
TWIML AI Podcast, 2020
More talks please!
email: me AT hal3 DOT name skype: haldaume3
phone: 301-405-1073 twitter: haldaume3
office: IRB 4150 github: hal3
I can't reply to all prospective students
before emailing me.
credits: design and font inspired by Seth Able's LoRD, some images converted to ANSI using ManyTools, original drawing of me by anonymous.
last updated on twenty three january, two thousand twenty three.