Upcoming Seminars
All seminars are held in Hackerman B17 unless otherwise noted. See also seminars from the past decade.
Title: Applications of weighted finite state transducers in a speech recognition toolkit
Presenter: Daniel Povey
Affiliation(s): Microsoft Research
Location: Hackerman B17
Presentation Slides: PDF
Title: Learning to Describe Images
Presenter: Julia Hockenmaier
Affiliation(s): University of Illinois
Location: Hackerman B17
Presentation Slides: PDF
Title: Short URLs, Big Data: Machine Learning at Bitly
Presenter: Hilary Mason
Affiliation(s): bit.ly
Location: Hackerman B17
Presentation Slides: PTX
Title: When Topic Models Go Bad: Diagnosing and Improving Models for Exploring Large Corpora
Presenter: Jordan Boyd-Graber
Affiliation(s): University of Maryland
Location: Hackerman B17
Presentation Slides: PDF
Title: Multilingual Guidance for Unsupervised Linguistic Structure Prediction
Presenter: Dipanjan Das
Affiliation(s): Carnegie Mellon University
Location: Hackerman B17
Presentation Slides: PTX
Title: Predicting wh-dependencies: Parsing, interpretation, and learning perspectives
Presenter: Akira Omaki
Affiliation(s): Johns Hopkins University
Location: Hackerman B17
Title: Decoding time set by neuronal oscillations locked to the input rhythm: a neglected cortical dimension in models of speech perception
Presenter: Oded Ghitza
Affiliation(s): Hearing Research Center & Center for BioDynamics, Boston University
Location: Hackerman B17
Title: Probabilistic hashing for similarity searching and machine learning on large datasets in high dimensions
Presenter: Ping Li
Affiliation(s): Cornell University
Location: Hackerman B17
Presentation Slides: PDF
Title: Sparse Models of Lexical Variation
Presenter: Jacob Eisenstein
Affiliation(s): Carnegie Mellon University
Location: Hackerman B17
Presentation Slides: PDF
Title: Detecting Deceptive On-Line Reviews
Presenter: Claire Cardie
Affiliation(s): Cornell University
Location: Hackerman B17
Title: Learning Semantic Parsers for More Languages and with Less Supervision
Presenter: Luke Zettlemoyer
Affiliation(s): University of Washington
Location: Hackerman B17
Title: Object Detection Grammars
Presenter: David McAllester
Affiliation(s): Toyota Technological Institute at Chicago
Location: Hackerman B17
Presentation Slides: PDF
Title: Robust Representation of Attended Speech in Human Brain with Implications for ASR
Presenter: Nima Mesgarani
Affiliation(s): University of California, San Francisco
Location: Hackerman B17
Title: A computational approach to early language bootstrapping
Presenter: Emmanuel Dupoux
Affiliation(s): Ecole Normale Supérieure
Location: Hackerman B17


