Anthill Inside 2017

On theory and concepts in Machine Learning, Deep Learning and Artificial Intelligence. Formerly Deep Learning Conf.

Tickets

The Importance of Knowing What We Don’t Know - Bayesianism and Deep Learning

Submitted by Abhijeet Katte (@abhik24) on Saturday, 10 June 2017


Preview video

Section: Crisp talk Technical level: Beginner

Abstract

Most deep learning models are often viewed as deterministic functions, seen as opaque and different from probabilistic models. But that is not fully true. The probabilistic view of machine learning offers confidence bounds for data analysis and decision making, information that a biologist for example would rely
on to analyse her data, or an autonomous car would use to decide whether to take a turn or brake.

In analysing data or making decisions, it is often necessary to be able to tell
whether a model is certain about its output, being able to ask “maybe I need to use more
diverse data? or change the model? or perhaps be careful when making a decision?”.

This talk will be an introduction to application of Bayesianism in understanding uncertainty in modern deep learning. The key takeaways from the crisp talk will be :
1. Appreciation and understanding of Bayesianism in general
2. Glimpse of how Bayesianism will influence deep learning in the future
3. Application of Bayesianism for better machine learning models

Outline

  • What Do We Mean By Being Bayesian ?

  • Achievements of Modern Deep Learning

  • Unanswered questions

  • Why Care About Uncertainty

  • When Is The Probabilistic Approach Essential?

  • Bayesian Machine Learning

  • A Few Example and Results

  • Applications

Requirements

Basic understanding of learning and inference phases of (deep) machine learning. Basic understanding of Bayes’ Rule.

Speaker bio

I am Abhijeet Katte. I am a Data Scientist at Hands Free Networks, building intelligent systems for automatically handling support for interconnected and IOT devices. I graduated from Dr. Babasaheb Ambedkar Technological University in 2016 with a degree in computer engineering. Before coming to HFN, I was a part of Data Sciene Team at Locus.sh, a logistics tech company and worked as a research assistant at Indian Institute of Science.

I am also interested in computational neuroscience and philosophy of language and the mind.
Links : https://abhik24.github.io
Linkedin: https://linkedin.com/in/abhikatte

Links

Slides

https://docs.google.com/presentation/d/1iSGd9TJVZinOnjgNLSJ_WGShGPDCsJ7WB1NHT_aKsQ8/edit?usp=sharing

Preview video

https://www.youtube.com/watch?v=xmnFmDdvcfo&feature=youtu.be

Comments

  • Sandhya Ramesh (@sandhyaramesh) 2 years ago

    Hi Abhijeet, in order to proceed with evaluating this proposal, please submit a two minute self recorded video of you walking us through the talk. Thanks.

  • Abhijeet Katte (@abhik24) Proposer 2 years ago

    Hey Sandhya, thanks for the message. I have uploaded an intro video !

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