Anthill Inside For members

Anthill Inside 2019

A conference on AI and Deep Learning

Make a submission

Accepting submissions till 01 Nov 2019, 04:20 PM

Taj M G Road, Bangalore, Bangalore

Tickets

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##About the 2019 edition:

The schedule for the 2019 edition is published here: https://hasgeek.com/anthillinside/2019/schedule

The conference has three tracks:

  1. Talks in the main conference hall track
  2. Poster sessions featuring novel ideas and projects in the poster session track
  3. Birds of Feather (BOF) sessions for practitioners who want to use the Anthill Inside forum to discuss:
  • Myths and realities of labelling datasets for Deep Learning.
  • Practical experience with using Knowledge Graphs for different use cases.
  • Interpretability and its application in different contexts; challenges with GDPR and intepreting datasets.
  • Pros and cons of using custom and open source tooling for AI/DL/ML.

#Who should attend Anthill Inside:

Anthill Inside is a platform for:

  1. Data scientists
  2. AI, DL and ML engineers
  3. Cloud providers
  4. Companies which make tooling for AI, ML and Deep Learning
  5. Companies working with NLP and Computer Vision who want to share their work and learnings with the community

For inquiries about tickets and sponsorships, call Anthill Inside on 7676332020 or write to sales@hasgeek.com


#Sponsors:

Sponsorship slots for Anthill Inside 2019 are open. Click here to view the sponsorship deck.


Anthill Inside 2019 sponsors:


#Bronze Sponsor

iMerit Impetus

#Community Sponsor

GO-JEK iPropal
LightSpeed Semantics3
Google Tact.AI
Amex

Hosted by

Anthill Inside is a forum for conversations about Artificial Intelligence and Deep Learning, including: Tools Techniques Approaches for integrating AI and Deep Learning in products and businesses. Engineering for AI. more

Akhil Lohia

@alohia

Out of Distribution Detection in Deep Learning Classifiers

Submitted Apr 29, 2019

A common problem when using deep neural network models for classification problems is handling out of distribution data. In such scenarios, the classifiers tend to assign the new data point to one of the known classes with high probability, which can lead to unintended and potentially harmful consequences. At MakeMyTrip (MMT), we use deep learning based NLP classifier for understanding intent of utterances received by MMT’s chatbot Myra. Here we discuss how we handle user utterances of intents for which Myra has not been trained.

Outline

  • Introduction to in-sample and out-of-sample distributions when using ML models.
  • Example scenario:
    • text is misclassified where true class was not present in the training data.
    • Possible approaches - creating an ‘other’ class requires a lot of training data - not feasible
  • Proposed approach:
    • learn a distributed representation of the target (embeddings) instead of discrete classes.
    • compare the predicted distribution of in-sample versus out-of-sample examples.
  • Create a 2-step classifier which first decides to classify the example or not.
  • Present final results about how such examples are handled in Myra and how it eases the discovery of new intents.

Speaker bio

I am Akhil Lohia, data scientist at MakeMyTrip, where we’re developing Myra, MakeMyTrip’s task bot for assisting millions of our customers with post sale issues such as cancelling & modifying bookings, enquiring about flight status, baggage limits, refund status etc. Here I am presenting a very commonly faced problem in machine learning based classifiers, where such models can give unexpected results for out of sample data, and one approach to deal with this problem based on recent research. I obtained my BS in Economics from IIT Kanpur and MS in Data Science from Barcelona Graduate School of Economics. I have worked on research projects involving RCTs and estimation of structural models related to Indian demographics before joining MakeMyTrip.

  • www.linkedin.com/in/akhil-lohia

Slides

https://docs.google.com/presentation/d/1669vbEH_2bAldARdA7vt0UyqPSTp6PkEAKLAJQ_s5UI/edit?usp=sharing

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Make a submission

Accepting submissions till 01 Nov 2019, 04:20 PM

Taj M G Road, Bangalore, Bangalore

Hosted by

Anthill Inside is a forum for conversations about Artificial Intelligence and Deep Learning, including: Tools Techniques Approaches for integrating AI and Deep Learning in products and businesses. Engineering for AI. more