Zhizheng Wu (Facebook)
January 17, 2020
When:
April 10, 2020 @ 12:00 pm – 1:15 pm
Where:
Hackerman Hall B17, 3400 N. Charles Street, Baltimore, MD 21218
Events
Damian Blasi (University of Zurich)
January 16, 2020
When:
March 30, 2020 @ 12:00 pm – 1:15 pm
Where:
Hackerman Hall B17, 3400 N. Charles Street, Baltimore, MD 21218
Rohit Prabhavalkar (Google)
January 16, 2020
When:
March 23, 2020 @ 12:00 pm – 1:15 pm
Where:
Hackerman Hall B17, 3400 N. Charles Street, Baltimore, MD 21218
Mei-Yuh Hwang (Mobvoi AI Lab) “Codemix Speech Recognition at Mobvoi: Current and Future”
January 16, 2020
When:
March 6, 2020 @ 12:00 pm – 1:15 pm
Where:
Hackerman Hall B17, 3400 N. Charles Street, Baltimore, MD 21218
Abstract In this talk, I will focus on the recent efforts at ASRU 2019, investigating speech recognition for Mandarin and English mixed speech. With burgeoning advancements in transportation and communication, many cultures find themselves becoming[…]
Matt Gardner (Allen Institute for Artificial Intelligence) “NLP Evaluations that We Believe In”
January 16, 2020
When:
March 9, 2020 @ 12:00 pm – 1:15 pm
Where:
Hackerman Hall B17, 3400 N. Charles Street, Baltimore, MD 21218
Abstract With all of the modeling advancements in recent years, NLP benchmarks have been falling over left and right: “human performance” has been reached on SQuAD 1 and 2, GLUE and SuperGLUE, and many commonsense[…]
Zachary Lipton (Carnegie Mellon University) “Deep (Inter-)Active Learning: Cure-all or Catastrophe?”
January 16, 2020
When:
March 2, 2020 @ 12:00 pm – 1:15 pm
Where:
Hackerman Hall B17, 3400 N. Charles Street, Baltimore, MD 21218
Abstract While deep learning produces supervised models with unprecedented predictive performance on many tasks, under typical training procedures, advantages over classical methods emerge only with large datasets. The extreme data-dependence of reinforcement learners may be even more[…]
Tom Lippincott (JHU) “Computational Intelligence for the Humanities”
January 16, 2020
When:
February 24, 2020 @ 12:00 pm – 1:15 pm
Where:
Hackerman Hall B17, 3400 N. Charles Street, Baltimore, MD 21218
Abstract A recurring task at the intersection of humanities and computational research is pairing data collected by a traditional scholar with an appropriate machine learning technique, ideally in a form that creates minimal burden on[…]
