DLBLR Monthly Meetup - May 2019

• What we'll do
This meetup is always on first come first serve basis. The auditorium can accommodate 70-80 participants. The meetup is not live streamed unless and otherwise specified. The meetup typically has two sessions, each with 75 minutes with 15 minutes of break between two sessions.

9:00 am: Doors open and networking

• Session 1: 9:30 to 10:45am

Arjun and team, Agara Labs

Title: Deep Learning - view from trenches

Abstract:
The talk will consist of two parts. The first part covers building text-based deep learning systems from scratch to production-level. Topics touched upon will include but not be limited to : the use of attention mechanisms, multi-task learning, working with embedding spaces, and custom loss functions. Practical implications of building such models such as maintainability, cost, etc will also be discussed. The second part covers some fundamental challenges and approaches to speech-based deep learning systems. Topics discussed in this part will include but not be limited to analysing and enhancing the outputs of state-of-art Automatic Speech Recognition systems (speech-to-text models), and practical implications.

• Session 2: 11:00 am to 12:15 pm

Madhu Gopinathan, MMT

Title: Quickly creating training data to build deep learning models for natural language processing

Abstract:
Large labelled training sets are essential to power deep learning models for natural language processing applications.
Creating labelled data is an expensive, error prone and time consuming process, which slows down the development of such applications.
In this talk, we will discuss recent research – a paradigm called data programming - and an implementation: Snorkel
to illustrate how this approach can aid in analysing natural language data and creating labels through programming.

Reference:

Data Programming: Creating Large Training Sets, Quickly, Ratner et. al., NeurIPS 2016

https://arxiv.org/abs/1605.07723

Venue: Intuit office, Pritech Park, Building 8, RMZ Ecospace Internal Rd, RMZ Ecospace, Adarsh Palm Retreat, Bellandur, Bengaluru 560103
https://goo.gl/maps/YQfDtz5wYCNRwyF28