by Anthill Inside

Anthill Inside 2018

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

Anthill Inside 2018

Anthill Inside 2018

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

by Anthill Inside
date_range

Date

25 Jul 2018, Bangalore

place

Venue

NIMHANS Convention Centre

Call for proposals

All proposals

Confirmed sessions

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

Suchana Seth (@suchana)

  • Intermediate
  • 1 upvotes
  • 0 comments
  • Fri, 13 Jul

Birds Of Feather (BOF) session: AI and Product

Vijay Gabale (@vijaygabale)

  • Intermediate
  • 2 upvotes
  • 0 comments
  • Fri, 13 Jul

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

Anuj Gupta (@anuj-gupta)

  • Off The Record session
  • Intermediate
  • 7 upvotes
  • 0 comments
  • Fri, 13 Jul

Deep Learning in the Browser: Explorable Explanations, Model Inference & Rapid Prototyping

Amit Kapoor (@amitkaps)

  • Intermediate
  • 1 upvotes
  • 0 comments
  • Thu, 28 Jun
  • slideshow

Building and driving adoption for a robust semantic search system

Hrishikesh Ganu (@hrishikeshvganu)

  • Crisp Talk
  • Intermediate
  • 1 upvotes
  • 0 comments
  • Tue, 12 Jun
  • slideshow

Neural-network Field Aware Factorisation Machines for Online-behaviour Prediction

Gunjan Sharma (@gunjan-sharma)

  • Full talk
  • Advanced
  • 2 upvotes
  • 1 comments
  • Fri, 8 Jun
  • slideshow

Building Knowledgeable Machines

Hari C M (@haricm) (proposing)

  • Full talk
  • Advanced
  • 2 upvotes
  • 0 comments
  • Wed, 6 Jun

Product Size Recommendation for Fashion E-commerce

lavanya TS (@lavanyats)

  • Crisp Talk
  • Intermediate
  • 2 upvotes
  • 0 comments
  • Mon, 14 May
  • slideshow

Sarcasm Detection : Achilles Heel of sentiment analysis

Anuj Gupta (@anuj-gupta)

  • Full talk
  • Intermediate
  • 6 upvotes
  • 0 comments
  • Tue, 8 May
  • slideshow

Uncertainty in Deep Learning

Madhu Gopinathan (@mg123)

  • Full talk
  • Intermediate
  • 3 upvotes
  • 0 comments
  • Mon, 7 May
  • play_arrow
  • slideshow

The Sentimental Computer- the Art and Science of Making Computers Understand Sentiment and Emotion

Hari C M (@haricm) (proposing)

  • Full talk
  • Advanced
  • 2 upvotes
  • 2 comments
  • Wed, 2 May

Attention Mechanisms and Machine Reasoning

Ashwin (@srisriashwin)

  • Full talk
  • Intermediate
  • 5 upvotes
  • 0 comments
  • Tue, 1 May

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

Vineeth N Balasubramanian (@nbvineeth)

  • Full talk
  • Intermediate
  • 3 upvotes
  • 0 comments
  • Mon, 23 Apr
  • slideshow

The evolution in AI thinking and products of the next decade

Shailesh Kumar (@shkumar)

  • Full talk
  • Intermediate
  • 2 upvotes
  • 2 comments
  • Tue, 17 Apr

Looking beyond LSTMs: Alternatives to Time Series Modelling using Neural Nets

Aditya Patel (@pataditya)

  • Crisp Talk
  • Intermediate
  • 9 upvotes
  • 0 comments
  • Sun, 15 Apr
  • play_arrow
  • slideshow

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

Vijay Gabale (@vijaygabale)

  • Full talk
  • Intermediate
  • 1 upvotes
  • 0 comments
  • Sat, 14 Apr
  • slideshow

What you cannot do with Machine Learning

Harsh Gupta (@hargup13)

  • Crisp Talk
  • Beginner
  • 0 upvotes
  • 1 comments
  • Sat, 31 Mar
  • play_arrow
  • slideshow

Unconfirmed proposals

Combining Neural Networks and Regression Tree for Dynamic Pricing in Mobile Advertising

Wei Li (@weili)

  • Advanced
  • 1 upvotes
  • 0 comments
  • Fri, 8 Jun

A very gentle introduction to deep reinforcement learning and applications

Hari C M (@haricm) (proposing)

  • Full talk
  • Advanced
  • 1 upvotes
  • 0 comments
  • Wed, 6 Jun

Make your own DL framework

Nithish Divakar (@nithishdivakar)

  • Full talk
  • Intermediate
  • 12 upvotes
  • 7 comments
  • Mon, 14 May

Advances in Deep Learning : Lessons from the field

Akhilesh Singh (@meetdestiny)

  • Full talk
  • Intermediate
  • 5 upvotes
  • 0 comments
  • Wed, 9 May

Introduction to Game Training using Deep RL

Jaley Dholakiya (@jaleydholakiya)

  • Crisp Talk
  • Beginner
  • 2 upvotes
  • 1 comments
  • Mon, 7 May
  • play_arrow

Deep Learning Howlers: Downside of Learning only Statistical Regularities

Vijay Srinivas Agneeswaran, Ph.D (@vijayagneeswaran)

  • Beginner
  • 1 upvotes
  • 3 comments
  • Thu, 3 May
  • play_arrow

The Catalog as a Catalyst - Bringing benefits of Big Data to MSMEs

Kalpit Desai (@kalpitdesai)

  • Crisp Talk
  • Advanced
  • 1 upvotes
  • 2 comments
  • Thu, 26 Apr
  • play_arrow
  • slideshow

How organizations can leverage 'Large Scale Graph Based Analytics’ to derive value from their data.

Upendra Singh (@upendrasingh)

  • Crisp Talk
  • Advanced
  • 1 upvotes
  • 0 comments
  • Thu, 26 Apr
  • play_arrow
  • slideshow

Know Your Diabetes Risk - Preventive Health through Risk Prediction and Knowledge Base

Krishna Bhavsar (@krishnabhavsar)

  • Crisp Talk
  • Intermediate
  • 20 upvotes
  • 4 comments
  • Tue, 17 Apr
  • play_arrow
  • slideshow

Deep Learning - An example implementation

Krishna Bhavsar (@krishnabhavsar)

  • Full talk
  • Beginner
  • 19 upvotes
  • 6 comments
  • Tue, 17 Apr
  • play_arrow
  • slideshow

Building IOT Data pipelines using Prediction IO

Puneeth N (@puneethnarayana)

  • Crisp Talk
  • Intermediate
  • 2 upvotes
  • 1 comments
  • Mon, 16 Apr

Machine Learning and Statistical Methods for Time Series Analysis

Aravind Putrevu (@aravindputrevu)

  • Full talk
  • Intermediate
  • 1 upvotes
  • 1 comments
  • Mon, 16 Apr

Explaining Human Cognition through Deep Learning

Amar Lalwani (@amar1707)

  • Crisp Talk
  • Beginner
  • 3 upvotes
  • 2 comments
  • Sun, 15 Apr
  • play_arrow
  • slideshow

AI at the Edge: A Software Perspective

Saumya Suneja (@saumyas)

  • Full talk
  • Beginner
  • 3 upvotes
  • 2 comments
  • Sun, 15 Apr
  • play_arrow
  • slideshow

Anomaly detection with Variational Autoencoders

Aditya Prasad Narisetty (@adityaprasadn)

  • Full talk
  • Beginner
  • 8 upvotes
  • 1 comments
  • Sat, 14 Apr

Building a next generation Speech & NLU Engine: In pursuit of a Multi-modal experience for Bixby

Vikram Vij (@vikramvij)

  • Sponsored talk
  • Beginner
  • 2 upvotes
  • 0 comments
  • Fri, 13 Apr
  • play_arrow
  • slideshow

Adversarial Attacks on Deep Learning

Gaurav Goswami (@gauravgoswami)

  • Crisp Talk
  • Intermediate
  • 1 upvotes
  • 2 comments
  • Thu, 12 Apr
  • play_arrow
  • slideshow

How organizations can leverage 'Large Scale Graph Based Analytics’ to derive value from their data.

Upendra Singh (@upendrasingh)

  • Crisp Talk
  • Advanced
  • 1 upvotes
  • 1 comments
  • Thu, 12 Apr
  • play_arrow

The Catalog as a Catalyst - Bringing benefits of Big Data to MSMEs

Kalpit Desai (@kalpitdesai)

  • Crisp Talk
  • Advanced
  • 2 upvotes
  • 2 comments
  • Thu, 12 Apr
  • play_arrow

Applying Alexa’s Natural Language To Your Challenges

Sohan Maheshwar (@sohanm)

  • Sponsored talk
  • Intermediate
  • 1 upvotes
  • 0 comments
  • Tue, 10 Apr

A novel Interactive Framework for semi-automated labeling when ground truth resides in free text

Tapan Shah (@tapan-shah)

  • Crisp Talk
  • Intermediate
  • 2 upvotes
  • 2 comments
  • Sat, 31 Mar
  • play_arrow
  • slideshow

A Hitchhiker's Guide to Modern Object Detection: A deep learning journey since 2012

Karanbir Chahal (@karanchahal)

  • Full talk
  • Intermediate
  • 5 upvotes
  • 3 comments
  • Fri, 30 Mar
  • play_arrow
  • slideshow

Deep Learning with High School Math (or Less)

Aakash N S (@aakashns)

  • Full talk
  • Beginner
  • 4 upvotes
  • 1 comments
  • Wed, 28 Mar

BigDL: Integrating Deep Learning with Apache Spark

Mukesh G (@mkgbv)

  • Full talk
  • Beginner
  • 2 upvotes
  • 1 comments
  • Wed, 21 Mar

Industrial Vision & Deep Learning for Manufacturing Quality Inspection

Dr. Chiranjiv Roy (@drroy)

  • Full talk
  • Intermediate
  • -1 upvotes
  • 9 comments
  • Tue, 24 Oct