Vashisht Madhavan

BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning

Fisher Yu, Haofeng Chen, Xin Wang et al. · 2020 · 2.1K citations

Engineering, Machine Learning, Image Analysis +18

BDD100K: A Diverse Driving Video Database with Scalable Annotation Tooling.

Fisher Yu, Wenqi Xian, Yingying Chen et al. · arXiv (Cornell University) · 2018 · 753 citations · Full text

Data Annotation, Scene Analysis, Engineering +22

Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning

Felipe Petroski Such, Vashisht Madhavan, Edoardo Conti et al. · arXiv (Cornell University) · 2017 · 554 citations · Full text

Artificial Intelligence, Deep Neuroevolution, Policy Gradients +14

BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning

Fisher Yu, Haofeng Chen, Xin Wang et al. · arXiv (Cornell University) · 2018 · 204 citations · Full text

Engineering, Machine Learning, Image Analysis +18

Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents

Edoardo Conti, Vashisht Madhavan, Felipe Petroski Such et al. · Neural Information Processing Systems · 2018 · 148 citations

Artificial Intelligence, Cognitive Science, Engineering +14