Vashisht Madhavan

Computer Science · Physical Sciences

9h-index4.1kcitations12works0.02yr avg
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Research Topics

Advanced Neural Network Applications(6), Reinforcement Learning in Robotics(5), Domain Adaptation and Few-Shot Learning(5), Multimodal Machine Learning Applications(5), Evolutionary Algorithms and Applications(4)

Publications12 total

AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark
arXiv (Cornell University)·2024Open Access
DECORE: Deep Compression with Reinforcement Learning
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)·2022· 41 cited
DECORE: Deep Compression with Reinforcement Learning
arXiv (Cornell University)·2021· 2 citedOpen Access
BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
2020· 2.1k cited
An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents
2019· 17 citedOpen Access
An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep\n Reinforcement Learning Agents
arXiv (Cornell University)·2018· 1 citedOpen Access
BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
arXiv (Cornell University)·2018· 204 citedOpen Access
BDD100K: A Diverse Driving Video Database with Scalable Annotation Tooling.
arXiv (Cornell University)·2018· 753 citedOpen Access
Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents
Neural Information Processing Systems·2018· 148 cited
Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning
arXiv (Cornell University)·2017· 554 citedOpen Access
Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents
arXiv (Cornell University)·2017· 115 citedOpen Access
Best Practices for Fine-Tuning Visual Classifiers to New Domains
Lecture notes in computer science·2016· 120 cited

Frequent Co-authors

Felipe Petroski Such(5), Joel Lehman(5), Jeff Clune(5), Trevor Darrell(4), Fisher Yu(3), Wenqi Xian(3), Fangchen Liu(3), Edoardo Conti(3), Kenneth O. Stanley(3), Haofeng Chen(2), Xin Wang(2), Yingying Chen(2), Manoj Alwani(2), Rosanne Liu(2), Rui Wang(2), Pablo Samuel Castro(2), Yulun Li(2), Jiale Zhi(2), Ludwig Schubert(2), Marc G. Bellemare(2)