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researcher

Sairaam Venkatraman

3 papers hereh-index 239 citations6 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cs.CV1

identity via Semantic Scholar / OpenAlex

activity
20192022
most citedBuilding Deep, Equivariant Capsule Networks

8 citations · 15 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2022

Can you even tell left from right? Presenting a new challenge for VQA

Sai Raam Venkatraman, Rishi Rao, S. Balasubramanian +2

Visual Question Answering (VQA) needs a means of evaluating the strengths and weaknesses of models. One aspect of such an evaluation is the evaluation of compositional generalisati…

cs.LG2020★ 7 cited

Learning Compositional Structures for Deep Learning: Why Routing-by-agreement is Necessary

Sai Raam Venkatraman, Ankit Anand, S. Balasubramanian +1

A formal description of the compositionality of neural networks is associated directly with the formal grammar-structure of the objects it seeks to represent. This formal grammar-s…

cs.LG2019★ 8 cited

Building Deep, Equivariant Capsule Networks

Sairaam Venkatraman, S. Balasubramanian, R. Raghunatha Sarma

Capsule networks are constrained by the parameter-expensive nature of their layers, and the general lack of provable equivariance guarantees. We present a variation of capsule netw…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.