Search Results for author: Kaustubh Chaudhari

Found 3 papers, 2 papers with code

BlackJAX: Composable Bayesian inference in JAX

1 code implementation • 16 Feb 2024 • Alberto Cabezas, Adrien Corenflos, Junpeng Lao, Rémi Louf, Antoine Carnec, Kaustubh Chaudhari, Reuben Cohn-Gordon, Jeremie Coullon, Wei Deng, Sam Duffield, Gerardo Durán-Martín, Marcin Elantkowski, Dan Foreman-Mackey, Michele Gregori, Carlos Iguaran, Ravin Kumar, Martin Lysy, Kevin Murphy, Juan Camilo Orduz, Karm Patel, Xi Wang, Rob Zinkov

BlackJAX is a library implementing sampling and variational inference algorithms commonly used in Bayesian computation.

Probabilistic Programming Variational Inference

797

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Combating high variance in Data-Scarce Implicit Hate Speech Classification

no code implementations • 29 Aug 2022 • Debaditya Pal, Kaustubh Chaudhari, Harsh Sharma

Hate speech classification has been a long-standing problem in natural language processing.

Hate Speech Detection Vocal Bursts Intensity Prediction

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Data Agnostic RoBERTa-based Natural Language to SQL Query Generation

1 code implementation • 11 Oct 2020 • Debaditya Pal, Harsh Sharma, Kaustubh Chaudhari

Although we have not achieved state of the art results, we have eliminated the need for the table data, right from the training of the model, and have achieved a test set execution accuracy of 76. 7%.

valid Zero-Shot Learning

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