ThinkML

My thoughts on Machine Learning and Related.

About Me!Anush Sankaran

[Mar ‘19] First Teaching Presentation

My formal teaching course on Visual Recognition for graduates students at IIIT Bangalore.

[Mar ‘19] The Path Not Taken

The challenges and paths not taken in Deep Learning research, at NWIMI workshop in IIT Jodhpur.

[Jan ‘19] Session Chair in CoDS-COMAD 2019

Held a session, with invited talk by Nitendra Rajput, in CoDS-COMAD, Jan 2019 at Kolkota.

[Sept ‘18] Workshop on Deep Learning

Yet another homecoming! Ten year before I was sitting in the same auditorium, as a student, listening to different workshop. Now, I am the presenter in the same annual workshop series, with lots of young energetic minds listening to my tutorial on “Deep Learning with Watson Studio”

[July ‘18] NNM with Watson Studio

Presented “NNM with Watson Studio” and GAN Toolkit at IEEE bootcamp at BMSCE - Bangalore

[Feb ‘18] AAAI-18 Presentation

Presented our AAAI-18 paper on “DLPaper2Code : Auto-generation of Code from Deep Learning Research Papers” and our demo paper on “Democratization of Deep Learning using DARVIZ” (now called, IBM Deep Learning IDE).

[Feb ‘18] IAAI Oral Presentation

Presented our IAAI-18 paper on “Hi, how can I help you?: Automating enterprise IT support help desks”. Got the deployed system recognition award in the conference!

[Nov ‘17] What the fun is Deep Learning ?

Deep Learning - basics to advanced and how can we make our life easy with DARVIZ.

Presentation >

[Aug ‘17] Watson Made Simple with Tanmya Bhakshi

4th episode of “Watson Made Simple”, joined with @TajyMany to explain how Deep Learning Models can be built without writing any code using DARVIZ. The episode was aired live in @IBM Facebook page (https://www.facebook.com/IBM ).

Video link >

[Aug ‘17] Hosting and Speaking in ML4Creativity Workshop at SIGKDD 2017

Hosting the workshop on “Machine Learning for Creativity” along with colleagues from Google Brain, Sony CSL, IBM Research, and TJ Watson.

Read More >

[Aug ‘17] Defending my PhD Thesis

Defending my PhD Thesis, titled “Learning Representations for Fingerprint Variants”.

Read More >

[Jul ‘17] IEEE Make in India Entrepreneurship Bootcamp

A highly interactive session on “Deep learning made easy with DARVIZ” with a curated list of 30 startups in Bengaluru, India.

[Jul ‘17] Summer School in Deep Learning

Presented to one of the largest grad students audience on “Research Innovations at IBM Research, India”. This was a week long summer school in deep learning hosted by IIIT Hyderabad.

[Jul ‘17] Interaction with Tanmay Bhakshi

The whiz-kid Tanmay Bhakshi visited us in our research lab. It was a genuine pleasure on discussing DARVIZ with him. We really hope that DARVIZ could be of use to the developer community, including Tanmay!

Tanmay Teaches: Using IBM DARVIZ as a Deep Learning IDE!

[Jun ‘17] IEEE-IISc Deep learning Summit

Presented DARVIZ to a large set of focussed audience in deep learning. A good mix of academic and industry audience were present. It was good learning to find DARVIZ useful to the diverse audience.

IBM DARVIZ - A Platform Independent UI for Deep Learning

[May ‘17] Short Term Programme on Next Generation Computing

This was literally a homecoming talk for me. Seven years after I finished my undergraduation from CIT, I returned to conduct a one day course on “Deep Learning in Computer Vision” for faculty audience.

[May ‘17] IISC Bengaluru

Presented DARVIZ to about 100+ grad software engineers. The motive is to enable a quicker deep learning adoption rate for software engineers/ developers. Thanks to Dr. Aditya Kanade for hosting us!

[Mar ‘17] MSRIT Bengaluru

To a highly enthusiastic student audience, gave a light-hearted talk on “What the fun is deep learning?”. Hope the students learnt something beyond my jokes!

[Mar ‘17] IIT Madras

Presenting the first version of DARVIZ’s capabilities to a totally surprised student audience from IIT Madras

[Feb ‘17] Winter School on Machine Learning in Biometrics

Unvieling the very first version of DARVIZ to the world. A session hosted by my PhD advisors, it was a great session on presenting my first work outside of my PhD lab in front of my advisors! Link >