Schedule
Anthill Inside 2018

Anthill Inside 2018

On the current state of academic research, practice and development regarding Deep Learning and Artificial Intelligence.

Auditorium 1

Auditorium 2

BOF area

08:45–09:20

Check-in and breakfast

09:20–09:30

Introduction to Anthill Inside and how to navigate schedule

09:30–10:10

The sentimental computer: art and science of making computers understand sentiment and emotion

Prof. Pushpak Bhattacharyya, Director of IIT Patna

09:40–10:00

Advice on Applying Machine Learning: War Stories et al.

Sumod Mohan, Founder, AutoInfer

10:10–10:50

Uncertainty in deep learning

Madhu Gopinathan, Vice President, Data Science at MakeMyTrip

10:10–10:55

Building and driving adoption for a robust semantic search system

Hrishikesh Ganu, Intuit

10:10–11:10

Birds Of Feather (BOF) session: Hubs and spokes of AI

Anuj Gupta, Director of Machine Learning at Huawei

10:50–11:20

Morning beverage break

10:55–11:20

Morning beverage break

11:20–12:05

Building knowledgeable machines

Prof. Partha Talukdar, Department of Computational and Data Sciences (CDS), IISc

11:20–12:20

Birds Of Feather (BOF) session: AI - ethics and privacy

Suchana Seth

12:05–12:45

Learning Real-time Object Detection In The Absence of Large-scale Datasets

Vijay Gabale, CTO and co-founder of Infilect Technologies

12:05–12:45

Going beyond what and asking why: explainability in Machine/Deep Learning

Vineeth N Balasubramanian, Associate Professor at IIT Hyderabad

12:45–13:40

Lunch break

12:45–13:40

Lunch break

13:40–14:20

Sarcasm detection: Achilles heel of sentiment analysis

Anuj Gupta, Director of Machine Learning at Huawei

13:40–14:20

Deep learning in the browser: explorable explanations, model inference and rapid prototyping

Amit Kapoor, NarrativeViz

13:40–14:40

Birds Of Feather (BOF) session: AI and Product

Vijay Gabale, CTO and co-founder of Infilect Technologies

14:20–15:20

The evolution in AI thinking and products of the next decade

Shailesh Kumar, Chief Data Scientist, CoE AI/ML at Jio

15:20–15:40

Product Size Recommendation for Fashion E-commerce

Lavanya Tekumalla, Machine Learning Scientist

15:20–16:00

Neural-network field aware factorisation machines for online-behaviour prediction

Gunjan Sharma, InMobi

15:40–16:10

Evening beverage break

16:00–16:20

Evening beverage break

16:10–16:40

Looking beyond LSTM’s: alternatives to time series modelling using neural nets

Aditya Patel, head of data science at Stasis

16:20–16:40

What you cannot do with Machine Learning

Harsh Gupta, engineer at Nilenso

16:40–17:25

Attention Mechanisms and Machine Reasoning

Ashwin

Hosted by

Anthill Inside is a forum for conversations about risk mitigation and governance in Artificial Intelligence and Deep Learning. AI developers, researchers, startup founders, ethicists, and AI enthusiasts are encouraged to: more