About the Artificial Intelligence Seminar Series

This is the home page for the Artificial Intelligence Seminar Series, sponsored by Apple, at the School of Computer Science of Carnegie Mellon University. The faculty coordinator is Zico Kolter and the student coordinator is Han Zhao. The mailing list for upcoming AI Seminar talk announcements is on the SCS mailman server. Unless otherwise noted, the meetings are on Tuesdays at 12:00 P.M. See more about CMU AI initiative here, or watch other talks at the CMU AI Youtube channel.

You are encouraged to give a talk! Please contact Han Zhao for arrangement.

Schedule

Date Speaker Affiliation Title Video Link
Sep 11, 2018
12:00 PM
GHC 6115
Matt Barnes Carnegie Mellon University Learning with Clusters: A cardinal machine learning sin and how to correct for it
Sep 18, 2018
12:00 PM
NSH 3305
Benjamin Eysenbach Carnegie Mellon University Towards Autonomous Reinforcement Learning: Learning to Act with Less Human Supervision
Sep 25, 2018
12:00 PM
GHC 6115
Jakub Pachocki OpenAI OpenAI Five: Training a Dota 2 Bot through Self-play Video
Oct 02, 2018
12:00 PM
GHC 6115
Gus Guangyu Xia NYU Shanghai Towards More Creative and Interactive Music AI
Oct 09, 2018
12:00 PM
GHC 6115
Qizhe Xie Carnegie Mellon University From Credit Assignment to Entropy Regularization: Two New Algorithms for Neural Sequence Prediction
Oct 16, 2018
12:00 PM
NSH 3305
Sarah Keren Harvard University Goal Recognition Design
Oct 23, 2018
12:00 PM
GHC 6115
Devendra Chaplot Carnegie Mellon University Embodied Multimodal Multitask Learning
Oct 30, 2018
12:00 PM
NSH 3305
Renato Negrinho Carnegie Mellon University Learning Beam Search Policies via Imitation Learning
Nov 06, 2018
12:00 PM
GHC 6115
Yifan Wu Carnegie Mellon University The Laplacian in Reinforcement Learning: Learning Representations without Rewards and Decoders
Nov 13, 2018
12:00 PM
GHC 6115
Kirstin Early Yahoo Research Towards a general-purpose text representation for mail
Nov 20, 2018
12:00 PM
NSH 3305
Jonathan Laurent Carnegie Mellon University Counterfactual Resimulation for Causal Analysis of Rule-Based Models
Nov 27, 2018
12:00 PM
GHC 6115
Yaodong Yu University of Virginia Adversarial Defenses and Attacks: A Case Study on NIPS 2018 Adversarial Vision Challenge
Dec 04, 2018
12:00 PM
GHC 6115
Ivan Stelmakh Carnegie Mellon University PeerReview4All: Fair and Accurate Reviewer Assignment in Peer Review
Dec 11, 2018
12:00 PM
Univ. Center, Danforth Conference Room
Rediet Abebe Cornell University Computational Interventions to Improve Access to Opportunity for Disadvantaged Populations
Dec 18, 2018
12:00 PM
NSH 3305
Po-Wei Wang Carnegie Mellon University Low-rank Semidefinite Programming for the MAX2SAT Problem

Links