2nd Conversational Intelligence Summer School

Maximum number of participants: 50

Please note that a substantial number of seats will be reserved for students, so the spaces for non-student participants are limited. Please register early in order to guarantee your space.
About CISS
Dialogue systems and conversational agents are becoming increasingly common in our everyday lives, from commercial personal assistants (such as Amazon Echo and Google Assistant) and customer service chatbots to intelligent tutors and voice control interfaces. Recent advances in artificial intelligence have put some of these practical applications within reach.

The Conversational Intelligence Summer School (CISS) aims to train young researchers and future employees interested in this challenging and exciting field in state-of-the-art techniques and provide them with hands-on skills to develop such applications. This one-week intensive program includes a combination of instruction and programming tutorials, invited lectures by top researchers, and supervised project work. As students of today receive training in this emerging field, they will acquire the knowledge and skills it takes to innovate the applications of tomorrow.

Requirements
Due to the course material, the program is best suited for both advanced students and industry participants with some knowledge of machine learning
It is recommended that student participants have completed at least one semester of machine learning with some exposure to neural network models. The summer school is best suited for 1st and 2nd year PhD and Master's students and advanced undergraduates. A background in natural language processing is not required but desirable.
Non-student participants are NOT required to submit an application. However, we encourage all participants to review the set of qualifying problems to ensure they are comfortable with the subject matter of the program. We will send industry and academic researcher participants the set of qualifying problems upon registration or by request.
Important dates for a students
15 Feb, 2019
15 Feb, 2019
Registration opens
25 March 2019
25 March 2019
Application deadline
5 April 2019
5 April 2019
Admission notification
24 - 29 June 2019
24 - 29 June 2019
Summer school
Invited Speakers
Jason Weston
FAIR

Kate Saenko
Dept of Computer Science, Boston University
Alexander Rush
Dept of Computer Science, Harvard University
João Sedoc
Dept of Computer and Information Science, University of Pennsylvania
Student Participants
Price
Participation is free to students
Qualification
Participants will be selected using a set of qualifying problems
Availability
Minimum of 30 seats reserved for student participants
Non-Student Participants
Price
Please see registration page for the fee schedule
Qualification
Non-student participants are NOT required to take part in the qualifying round.
Availability
Paid registrations are available on a first-come first-served basis
Instructors
Instructors will include the organizers as well as several researchers from the organizers' research labs.
Text Machine Lab
University of Massachusetts Lowell
Yuanliang Meng, Peter Potash, Alexey Romanov
Neural Networks and Deep Learning Lab
Mikhail Arkhipov, Yuri Kuratov, Maria Vikhreva, Alexey Sorokin, Dilyara Baymurzina
Sample Topics for Participants Projects
Participants will select from a number of projects for which initial code base will be made available. Sample topics include:
Engaging chit-chat model to keep interlocutor engaged in the conversation using Reddit
Infotainment chat model using Wizard of Wikipedia dataset
Multi-task goal-oriented chat model using MultiWOZ dataset (A Large-Scale Multi-Domain Wizard-of-Oz Dataset for Task-Oriented Dialogue Modelling)
Computational resources
A teaching lab with 30 GPU workstations will be available at UMass Lowell for use by the participants
Additional remote virtual GPU machines will be provided by the MIPT lab
Participants will also be able to use colaboratory
Hosting Organizations
Made on
Tilda