Madhavan, Vashisht

6 publications

ICLR 2025 AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark Wenhao Chai, Enxin Song, Yilun Du, Chenlin Meng, Vashisht Madhavan, Omer Bar-Tal, Jenq-Neng Hwang, Saining Xie, Christopher D Manning

CVPR 2022 DECORE: Deep Compression with Reinforcement Learning Manoj Alwani, Yang Wang, Vashisht Madhavan

IJCAI 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

NeurIPS 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 Stanley, Jeff Clune

ECCV 2016 Best Practices for Fine-Tuning Visual Classifiers to New Domains Brian Chu, Vashisht Madhavan, Oscar Beijbom, Judy Hoffman, Trevor Darrell

ECCVW 2016 Best Practices for Fine-Tuning Visual Classifiers to New Domains Brian Chu, Vashisht Madhavan, Oscar Beijbom, Judy Hoffman, Trevor Darrell