Sharath Chandra Raparthy
Publications by Year
Research Areas
Domain Adaptation and Few-Shot Learning, Topic Modeling, Natural Language Processing Techniques, Reinforcement Learning in Robotics, Adversarial Robustness in Machine Learning
Most-Cited Works
- → ML Reproducibility Challenge 2022(2023)10 cited
- → Curriculum in Gradient-Based Meta-Reinforcement Learning(2020)8 cited
- → Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts(2024)7 cited
- → Generating Automatic Curricula via Self-Supervised Active Domain Randomization(2020)5 cited
- → Data Efficient Stagewise Knowledge Distillation(2019)5 cited
- → Multi-Objective GFlowNets(2022)4 cited
- → Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language Models(2024)4 cited
- → ML Reproducibility Challenge 2020(2021)4 cited
- → GLoRe: When, Where, and How to Improve LLM Reasoning via Global and Local Refinements(2024)3 cited
- → Teaching Large Language Models to Reason with Reinforcement Learning(2024)2 cited