Vashisht Madhavan

According to our database, Vashisht Madhavan authored at least 9 papers between 2016 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

DECORE: Deep Compression with Reinforcement Learning.

Manoj Alwani, Yang Wang, Vashisht Madhavan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2020

Scaling MAP-Elites to deep neuroevolution.

Cédric Colas, Vashisht Madhavan, Joost Huizinga, Jeff Clune

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning.

Fisher Yu, Haofeng Chen, Xin Wang, Wenqi Xian, Yingying Chen, Fangchen Liu, Vashisht Madhavan, Trevor Darrell

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents.

Felipe Petroski Such, Vashisht Madhavan, Rosanne Liu, Rui Wang, Pablo Samuel Castro, Yulun Li, Jiale Zhi, Ludwig Schubert, Marc G. Bellemare, Jeff Clune, Joel Lehman

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents.

Felipe Petroski Such, Vashisht Madhavan, Rosanne Liu, Rui Wang, Pablo Samuel Castro, Yulun Li, Ludwig Schubert, Marc G. Bellemare, Jeff Clune, Joel Lehman

CoRR, 2018

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

Fisher Yu, Wenqi Xian, Yingying Chen, Fangchen Liu, Mike Liao, Vashisht Madhavan, Trevor Darrell

CoRR, 2018

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

Edoardo Conti, Vashisht Madhavan, Felipe Petroski Such, Joel Lehman, Kenneth O. Stanley, Jeff Clune

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

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

Felipe Petroski Such, Vashisht Madhavan, Edoardo Conti, Joel Lehman, Kenneth O. Stanley, Jeff Clune

CoRR, 2017

2016

Best Practices for Fine-Tuning Visual Classifiers to New Domains.

Brian Chu, Vashisht Madhavan, Oscar Beijbom, Judy Hoffman, Trevor Darrell

Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016