Search Results for author: Abhishek Goswami

Found 3 papers, 1 papers with code

G-SemTMO: Tone Mapping with a Trainable Semantic Graph

no code implementations • 30 Aug 2022 • Abhishek Goswami, Erwan Bernard, Wolf Hauser, Frederic Dufaux, Rafal Mantiuk

In this work, we draw inspiration from an expert photographer's approach and present a Graph-based Semantic-aware Tone Mapping Operator, G-SemTMO.

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Example-Based Named Entity Recognition

1 code implementation • 24 Aug 2020 • Morteza Ziyadi, Yuting Sun, Abhishek Goswami, Jade Huang, Weizhu Chen

We present a novel approach to named entity recognition (NER) in the presence of scarce data that we call example-based NER.

Few-Shot Learning named-entity-recognition +3

119

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Machine Learning at Microsoft with ML .NET

no code implementations • 14 May 2019 • Zeeshan Ahmed, Saeed Amizadeh, Mikhail Bilenko, Rogan Carr, Wei-Sheng Chin, Yael Dekel, Xavier Dupre, Vadim Eksarevskiy, Eric Erhardt, Costin Eseanu, Senja Filipi, Tom Finley, Abhishek Goswami, Monte Hoover, Scott Inglis, Matteo Interlandi, Shon Katzenberger, Najeeb Kazmi, Gleb Krivosheev, Pete Luferenko, Ivan Matantsev, Sergiy Matusevych, Shahab Moradi, Gani Nazirov, Justin Ormont, Gal Oshri, Artidoro Pagnoni, Jignesh Parmar, Prabhat Roy, Sarthak Shah, Mohammad Zeeshan Siddiqui, Markus Weimer, Shauheen Zahirazami, Yiwen Zhu

Machine Learning is transitioning from an art and science into a technology available to every developer.

BIG-bench Machine Learning

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