Vashisht Madhavan
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
6
Venues
5
Active years
2016–2025
Best venue rank
A*
Where they publish
Papers
6 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | 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 |
| 2022 | CVPR | DECORE: Deep Compression with Reinforcement Learning. | Manoj Alwani, Yang Wang, Vashisht Madhavan |
| 2020 | CVPR | 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 |
| 2020 | GECCO | Scaling MAP-Elites to deep neuroevolution. | Cdric Colas, Vashisht Madhavan, Joost Huizinga, Jeff Clune |
| 2019 | IJCAI | 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 |
| 2016 | ECCV | Best Practices for Fine-Tuning Visual Classifiers to New Domains. | Brian Chu, Vashisht Madhavan, Oscar Beijbom, Judy Hoffman, Trevor Darrell |