Vashisht Madhavan

14 papers A* 5A 1Journal 7Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark. ICLR Wenhao Chai, Enxin Song, Yilun Du, Chenlin Meng, Vashisht Madhavan, Omer Bar-Tal, Jenq-Neng Hwang, Saining Xie, Christopher D. Manning
2024	J	`jnl`	AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark. CoRR Wenhao Chai, Enxin Song, Yilun Du, Chenlin Meng, Vashisht Madhavan, Omer Bar-Tal, Jenq-Neng Hwang, Saining Xie, Christopher D. Manning
2022	A*	`conf`	DECORE: Deep Compression with Reinforcement Learning. CVPR Manoj Alwani, Yang Wang, Vashisht Madhavan
2021	J	`jnl`	DECORE: Deep Compression with Reinforcement Learning. CoRR Manoj Alwani, Vashisht Madhavan, Yang Wang
2020	A*	`conf`	BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning. CVPR Fisher Yu, Haofeng Chen, Xin Wang, Wenqi Xian, Yingying Chen, Fangchen Liu, Vashisht Madhavan, Trevor Darrell
2020	J	`jnl`	Scaling MAP-Elites to Deep Neuroevolution. CoRR Cédric Colas, Joost Huizinga, Vashisht Madhavan, Jeff Clune
2020	A	`conf`	Scaling MAP-Elites to deep neuroevolution. GECCO Cédric Colas, Vashisht Madhavan, Joost Huizinga, Jeff Clune
2019	A*	`conf`	An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents. IJCAI 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
2018	J	`jnl`	An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents. CoRR Felipe Petroski Such, Vashisht Madhavan, Rosanne Liu, Rui Wang, Pablo Samuel Castro, Yulun Li, Ludwig Schubert, Marc G. Bellemare, Jeff Clune, Joel Lehman
2018	J	`jnl`	BDD100K: A Diverse Driving Video Database with Scalable Annotation Tooling. CoRR Fisher Yu, Wenqi Xian, Yingying Chen, Fangchen Liu, Mike Liao, Vashisht Madhavan, Trevor Darrell
2018	A*	`conf`	Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents. NeurIPS Edoardo Conti, Vashisht Madhavan, Felipe Petroski Such, Joel Lehman, Kenneth O. Stanley, Jeff Clune
2017	J	`jnl`	Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning. CoRR Felipe Petroski Such, Vashisht Madhavan, Edoardo Conti, Joel Lehman, Kenneth O. Stanley, Jeff Clune
2017	J	`jnl`	Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents. CoRR Edoardo Conti, Vashisht Madhavan, Felipe Petroski Such, Joel Lehman, Kenneth O. Stanley, Jeff Clune
2016	—	`conf`	Best Practices for Fine-Tuning Visual Classifiers to New Domains. ECCV Workshops (3) Brian Chu, Vashisht Madhavan, Oscar Beijbom, Judy Hoffman, Trevor Darrell