All lectures will be held in Hackerman Hall, room B17. All labs will be held in Malone 228.
The morning lectures are open to the public. We request that you inform us at least one day in advance if you plan to attend.
Participation in the afternoon laboratories may be limited by the number of available workstations, and attendance is by permission only; contact us if interested.
8:30-9:00 Continental Breakfast
9:00-9:10 Welcome
9:10-10:20 Basic Mathematics of Automatic Speech Recognition (Sanjeev Khudanpur)
10:40-12:00 Building a State-of-the-Art ASR System with Kaldi (SK, Jan Trmal and PhD students)
12:00-01:30 Lunch Break (while the your SGMM system continues to train/decode)
01:30-03:00 ASR System Building (cont’d)
03:00-03:30 Coffee Break (while your TDNN system continues to train/decode)
03:30-05:00 Advanced/Specialized Methods in Kaldi (SK and Dan Povey)
8:30-9:00 Continental Breakfast
9:00-10:30 Speech Perception I (Andreas Andreou)
10:30-10:50 Break
10:50-12:10 Speech Perception II (Mounya Elhilali)
1:00-1:30 Computer Setup Time
1:30-5:00 Speech Perception Lab (Andreas Andreou)
8:30-9:00 Continental Breakfast
9:00-10:10 Information Retrieval (Paul McNamee)
10:10-10:30 Break
10:30-11:45 Information Extraction and Knowledge-base Population (Jim Mayfield)
11:45-1:00 Lunch Break
1:00-2:00 IR/IE/KBP Lab
2:00-3:00 Computational Health and Machine Learning (Suchi Saria)
3:00-3:30 Break
3:30-5:00 Computational Health using the EHR and Computational Health Ethics (Brandyn Lau)
8:30-9:00 Continental Breakfast
9:00-10:00 Global Optimality in Matrix and Tensor Factorization, Deep Learning, and Beyond (René Vidal)
10:00-10:30 Deep Learning: Core Concepts and Applications in Speech Processing (Dong Yu)
10:30-10:50 Break
10:50-12:10 Deep Learning: Core Concepts and Applications in Speech Processing (Dong Yu)
1:00-1:30 Computer Setup Time
1:30-5:00 Deep Learning Lab (Dong Yu)
8:30-9:00 Continental Breakfast
9:00-10:30 Large-scale representation learning (Raman Arora)
10:30-10:50 Break
10:50-12:10 Multi-view learning of representations for speech and language (Karen Livescu)
1:00-1:30 Computer Setup Time
1:30-3:00 Representation Learning Lab (Poorya Mianjy, Raman Arora)
3:00-3:30 Break held in ECE Lounge (Barton 117)
3:30-4:30 Acoustic Word Embeddings and Neural Segmental Models (Karen Livescu)
4:30-6:00 Representation Learning Lab (cont’d)
8:30-9:00 Continental Breakfast
9:00-10:30 Probabilities and Language Models (Jason Eisner)
10:30-10:40 Break
10:40-12:10 Hidden Markov Models (Jason Eisner)
1:00-1:30 Computer Setup Time
1:30-5:00 Laboratory: Competitive Grammar Writing (Jason Eisner)
8:30-9:00 Continental Breakfast
9:00-10:30 Build your own machine translation system lab
10:30-10:50 Break
10:50-12:10 Build your own machine translation system lab (continued)
1:30-2:45 Intro to Statistical machine translation (Matt Post & Kevin Duh)
3:00-3:45 Syntax models for SMT (Matt Post)
4:00-4:45 Neural models for SMT (Kevin Duh)
8:30-9:00 Continental Breakfast
9:00-10:30 Lecture 1 TBD
10:30-10:50 Break
10:50-12:10 Lecture 2 TBD
1:00-1:30 Computer Setup Time
1:30-5:00 Lab TBD
8:30-9:00 Continental Breakfast
9:00-10:30 Language as a Measure of Mental Health (Kristy Hollingshead)
10:30-10:50 Break
10:50-12:10 User Traits and Temporal Dynamics in Language Use (Daniel Preoţiuc-Pietro)
1:00-1:30 Computer Setup Time
1:30-5:00 Laboratory: Exploring Quantified Signals of Mental Health (Glen Coppersmith)
8:30-9:00 Continental Breakfast
9:00-10:30 Lecture 1 TBD
10:30-10:50 Break
10:50-12:10 Lecture 2 TBD
1:00-1:30 Computer Setup Time
1:30-5:00 Lab TBD