Anthill Inside 2018
On the current state of academic research, practice and development regarding Deep Learning and Artificial Intelligence.
Wednesday 25 July 2018
Auditorium 1
Auditorium 2
BOF area
08:45–09:20
Check-in and breakfast
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
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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:
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