Nov 2019
18 Mon
19 Tue
20 Wed
21 Thu
22 Fri
23 Sat 08:30 AM – 05:30 PM IST
24 Sun
Make a submission
Accepting submissions till 01 Nov 2019, 04:20 PM
Nov 2019
18 Mon
19 Tue
20 Wed
21 Thu
22 Fri
23 Sat 08:30 AM – 05:30 PM IST
24 Sun
Accepting submissions till 01 Nov 2019, 04:20 PM
##About the 2019 edition:
The schedule for the 2019 edition is published here: https://hasgeek.com/anthillinside/2019/schedule
The conference has three tracks:
#Who should attend Anthill Inside:
Anthill Inside is a platform for:
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Hosted by
Nishant Sinha
@ekshaks
Submitted Oct 27, 2019
Tensors are the fundamental data structure for building modern machine learning programs and complex neural architectures. Unfortunately, the foundations of popular tensor libraries (numpy, tensorflow, pytorch) are hardly robust, e.g., tensor broadcasting rules are adhoc, and may cause surprising bugs. Further, the tensor library APIs expose low-level memory models to the developer, forcing them to continuously translate between their high-level mental models of data and low-level memory models. Moreover, absence of systematic ways to track shapes and perform ‘semantic’ transformations, forces them to guess the latent tensor shapes forever or add adhoc ‘shape comments’.
In short, we believe that developers trying to write deep learning programs/architectures from scratch or even trying to tweak existing model repositories and pre-trained models, are exposed to endless, unwanted ‘tensor’ misery.
In this talk, we will showcase our efforts at OffNote Labs to improve the developer experience when programming with tensors. In particular, we will discuss:
None
Nishant Sinha is an independent researcher and consultant at OffNote Labs, with broad experience in building deep learning systems (across text, vision and speech domains) and symbolic reasoning systems. Nishant helps companies understand and maneuver through the evolving deep learning/AI space and build IP, in-house teams and solutions that enable market leadership. He is also passionate about making cutting-edge research consumable and building tools that improve developer experience.
He received his Ph.D. from Carnegie Mellon University and B. Tech. in Computer Science from IIT Kharagpur.
https://www.linkedin.com/in/nishant-sinha-a610311/
https://speakerdeck.com/ekshaks/the-shape-of-u-befriending-tensors
Nov 2019
18 Mon
19 Tue
20 Wed
21 Thu
22 Fri
23 Sat 08:30 AM – 05:30 PM IST
24 Sun
Accepting submissions till 01 Nov 2019, 04:20 PM
Hosted by
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