Vashisht Madhavan

Publications by Year

Research Areas

Advanced Neural Network Applications, Reinforcement Learning in Robotics, Domain Adaptation and Few-Shot Learning, Multimodal Machine Learning Applications, Evolutionary Algorithms and Applications

Most-Cited Works

• → BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning(2020)2,161 cited
• BDD100K: A Diverse Driving Video Database with Scalable Annotation Tooling.(2018)
• → Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning(2017)554 cited
• Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents(2018)
• → Best Practices for Fine-Tuning Visual Classifiers to New Domains(2016)121 cited
• → DECORE: Deep Compression with Reinforcement Learning(2022)42 cited
• → An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents(2019)17 cited