Proposals
Anthill Inside  project

Anthill Inside 2018

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

Anthill Inside 2018
Anthill Inside is a community of data scientists, product managers, AI and DL engineers. Discover how math, data models, ML and products are connected.

NIMHANS Convention Centre, Bengaluru

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Call for proposals

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Confirmed sessions

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

Suchana Seth (@suchana)

  • 0 comments
  • Fri, 13 Jul

Birds Of Feather (BOF) session: AI and Product

Vijay Gabale (@vijaygabale)

  • 0 comments
  • Fri, 13 Jul

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

Anuj Gupta (@anuj-gupta)

  • 0 comments
  • Fri, 13 Jul

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

Amit Kapoor (@amitkaps)

  • 0 comments
  • Thu, 28 Jun

Building and driving adoption for a robust semantic search system

Hrishikesh Ganu (@hrishikeshvganu)

  • 0 comments
  • Tue, 12 Jun

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

Gunjan Sharma (@gunjan-sharma)

  • 1 comments
  • Fri, 8 Jun

Building Knowledgeable Machines

Hari C M (@haricm) (proposing)

  • 0 comments
  • Wed, 6 Jun

Product Size Recommendation for Fashion E-commerce

lavanya TS (@lavanyats)

  • 0 comments
  • Mon, 14 May

Sarcasm Detection : Achilles Heel of sentiment analysis

Anuj Gupta (@anuj-gupta)

  • 0 comments
  • Tue, 8 May

Uncertainty in Deep Learning

Madhu Gopinathan (@mg123)

  • 0 comments
  • Mon, 7 May

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

Hari C M (@haricm) (proposing)

  • 2 comments
  • Wed, 2 May

Attention Mechanisms and Machine Reasoning

Ashwin (@srisriashwin)

  • 0 comments
  • Tue, 1 May

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

Vineeth N Balasubramanian (@nbvineeth)

  • 0 comments
  • Mon, 23 Apr

The evolution in AI thinking and products of the next decade

Shailesh Kumar (@shkumar)

  • 2 comments
  • Tue, 17 Apr

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

Aditya Patel (@pataditya)

  • 0 comments
  • Sun, 15 Apr

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

Vijay Gabale (@vijaygabale)

  • 0 comments
  • Sat, 14 Apr

What you cannot do with Machine Learning

Harsh Gupta (@hargup13)

  • 1 comments
  • Sat, 31 Mar

Unconfirmed proposals

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

Wei Li (@weili)

  • 0 comments
  • Fri, 8 Jun

A very gentle introduction to deep reinforcement learning and applications

Hari C M (@haricm) (proposing)

  • 0 comments
  • Wed, 6 Jun

Make your own DL framework

Nithish Divakar (@nithishdivakar)

  • 7 comments
  • Mon, 14 May

Advances in Deep Learning : Lessons from the field

Akhilesh Singh (@meetdestiny)

  • 0 comments
  • Wed, 9 May

Introduction to Game Training using Deep RL

Jaley Dholakiya (@jaleydholakiya)

  • 1 comments
  • Mon, 7 May

Deep Learning Howlers: Downside of Learning only Statistical Regularities

Vijay Srinivas Agneeswaran, Ph.D (@vijayagneeswaran)

  • 3 comments
  • Thu, 3 May

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

Kalpit Desai (@kalpitdesai)

  • 2 comments
  • Thu, 26 Apr

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

Upendra Singh (@upendrasingh)

  • 0 comments
  • Thu, 26 Apr

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

Krishna Bhavsar (@krishnabhavsar)

  • 4 comments
  • Tue, 17 Apr

Deep Learning - An example implementation

Krishna Bhavsar (@krishnabhavsar)

  • 6 comments
  • Tue, 17 Apr

Building IOT Data pipelines using Prediction IO

Puneeth N (@puneethnarayana)

  • 1 comments
  • Mon, 16 Apr

Machine Learning and Statistical Methods for Time Series Analysis

Aravind Putrevu (@aravindputrevu)

  • 1 comments
  • Mon, 16 Apr

Explaining Human Cognition through Deep Learning

Amar Lalwani (@amar1707)

  • 2 comments
  • Sun, 15 Apr

AI at the Edge: A Software Perspective

Saumya Suneja (@saumyas)

  • 2 comments
  • Sun, 15 Apr

Anomaly detection with Variational Autoencoders

Aditya Prasad Narisetty (@adityaprasadn)

  • 1 comments
  • Sat, 14 Apr

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

Vikram Vij (@vikramvij)

  • 0 comments
  • Fri, 13 Apr

Adversarial Attacks on Deep Learning

Gaurav Goswami (@gauravgoswami)

  • 2 comments
  • Thu, 12 Apr

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

Upendra Singh (@upendrasingh)

  • 1 comments
  • Thu, 12 Apr

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

Kalpit Desai (@kalpitdesai)

  • 2 comments
  • Thu, 12 Apr

Applying Alexa’s Natural Language To Your Challenges

Sohan Maheshwar (@sohanm)

  • 0 comments
  • Tue, 10 Apr

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

Tapan Shah (@tapan-shah)

  • 2 comments
  • Sat, 31 Mar

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

Karanbir Chahal (@karanchahal)

  • 4 comments
  • Fri, 30 Mar

Deep Learning with High School Math (or Less)

Aakash N S (@aakashns)

  • 1 comments
  • Wed, 28 Mar

BigDL: Integrating Deep Learning with Apache Spark

Mukesh G (@mkgbv)

  • 1 comments
  • Wed, 21 Mar

Industrial Vision & Deep Learning for Manufacturing Quality Inspection

Dr. Chiranjiv Roy (@drroy)

  • 9 comments
  • Tue, 24 Oct