Kumar Shridhar
ETH Zurich(CH)
Publications by Year
Research Areas
Topic Modeling, Natural Language Processing Techniques, Adversarial Robustness in Machine Learning, Intelligent Tutoring Systems and Adaptive Learning, Advanced Neural Network Applications
Most-Cited Works
- → A Comprehensive guide to Bayesian Convolutional Neural Network with Variational Inference(2019)161 cited
- → Uncertainty Estimations by Softplus normalization in Bayesian Convolutional Neural Networks with Variational Inference(2018)60 cited
- → Distilling Reasoning Capabilities into Smaller Language Models(2023)55 cited
- → Automatic Generation of Socratic Subquestions for Teaching Math Word Problems(2022)28 cited
- → End to End Binarized Neural Networks for Text Classification(2020)26 cited
- → ProbAct: A Probabilistic Activation Function for Deep Neural Networks(2019)24 cited
- → Indic-Transformers: An Analysis of Transformer Language Models for\n Indian Languages(2020)24 cited
- → Automatic Educational Question Generation with Difficulty Level Controls(2023)17 cited
- Bayesian Convolutional Neural Networks(2018)