Best Practices for Fine-Tuning Visual Classifiers to New Domains. - Brian Chu; Vashisht Madhavan; Oscar Beijbom; Judy Hoffman; Trevor Darrell (ECCV Workshops (3), 2016)

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)

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 (NeurIPS, 2018)

BDD100K: A Diverse Driving Video Database with Scalable Annotation Tooling. - Fisher Yu 001; Wenqi Xian; Yingying Chen; Fangchen Liu; Mike Liao; Vashisht Madhavan; Trevor Darrell (CoRR, 2018)

An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents. - Felipe Petroski Such; Vashisht Madhavan; Rosanne Liu; Rui Wang 052; Pablo Samuel Castro; Yulun Li; Ludwig Schubert; Marc G. Bellemare; Jeff Clune; Joel Lehman (CoRR, 2018)

An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents. - Felipe Petroski Such; Vashisht Madhavan; Rosanne Liu; Rui Wang 052; Pablo Samuel Castro; Yulun Li; Jiale Zhi; Ludwig Schubert; Marc G. Bellemare; Jeff Clune; Joel Lehman (IJCAI, 2019)

BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning. - Fisher Yu 001; Haofeng Chen; Xin Wang 066; Wenqi Xian; Yingying Chen; Fangchen Liu; Vashisht Madhavan; Trevor Darrell (CVPR, 2020)

Scaling MAP-Elites to deep neuroevolution. - Cédric Colas; Vashisht Madhavan; Joost Huizinga; Jeff Clune (GECCO, 2020)

DECORE: Deep Compression with Reinforcement Learning. - Manoj Alwani; Yang Wang; Vashisht Madhavan (CVPR, 2022)

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 (ICLR, 2025)