Kumar Shridhar

A Comprehensive guide to Bayesian Convolutional Neural Network with Variational Inference

Kumar Shridhar, Felix Laumann, Marcus Liwicki · arXiv (Cornell University) · 2019 · 161 citations · Full text

Bayesian Statistic, Convolutional Neural Network, Engineering +20

Uncertainty Estimations by Softplus normalization in Bayesian Convolutional Neural Networks with Variational Inference

Kumar Shridhar, Felix Laumann, Marcus Liwicki · arXiv (Cornell University) · 2018 · 60 citations · Full text

Engineering, Machine Learning, Softplus Normalization +17

Distilling Reasoning Capabilities into Smaller Language Models

Kumar Shridhar, Alessandro Stolfo, Mrinmaya Sachan · 2023 · 53 citations · Full text

Artificial Intelligence, Llm Fine-tuning, Smaller Language Models +19

Automatic Generation of Socratic Subquestions for Teaching Math Word Problems

Kumar Shridhar, Jakub Mačina, Mennatallah El‐Assady et al. · 2022 · 28 citations · Full text

Artificial Intelligence, Llm Fine-tuning, Engineering +23

End to End Binarized Neural Networks for Text Classification

Kumar Shridhar, Harshil Jain, Akshat Agarwal et al. · 2020 · 26 citations · Full text

Structured Prediction, Llm Fine-tuning, Engineering +18