Bdd100k: A diverse driving dataset for heterogeneous multitask learning F Yu, H Chen, X Wang, W Xian, Y Chen, F Liu, V Madhavan, T Darrell Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 2442 | 2020 |
Bdd100k: A diverse driving video database with scalable annotation tooling F Yu, W Xian, Y Chen, F Liu, M Liao, V Madhavan, T Darrell arXiv preprint arXiv:1805.04687 2 (5), 6, 2018 | 1087 | 2018 |
Deep neuroevolution: Genetic algorithms are a competitive alternative for training deep neural networks for reinforcement learning FP Such, V Madhavan, E Conti, J Lehman, KO Stanley, J Clune arXiv preprint arXiv:1712.06567, 2017 | 944 | 2017 |
Improving exploration in evolution strategies for deep reinforcement learning via a population of novelty-seeking agents E Conti, V Madhavan, F Petroski Such, J Lehman, K Stanley, J Clune Advances in neural information processing systems 31, 2018 | 428 | 2018 |
Best practices for fine-tuning visual classifiers to new domains B Chu, V Madhavan, O Beijbom, J Hoffman, T Darrell Computer Vision–ECCV 2016 Workshops: Amsterdam, The Netherlands, October 8 …, 2016 | 202 | 2016 |
Scaling map-elites to deep neuroevolution C Colas, V Madhavan, J Huizinga, J Clune Proceedings of the 2020 Genetic and Evolutionary Computation Conference, 67-75, 2020 | 100 | 2020 |
An atari model zoo for analyzing, visualizing, and comparing deep reinforcement learning agents FP Such, V Madhavan, R Liu, R Wang, PS Castro, Y Li, J Zhi, L Schubert, ... arXiv preprint arXiv:1812.07069, 2018 | 65 | 2018 |
Decore: Deep compression with reinforcement learning M Alwani, Y Wang, V Madhavan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 47 | 2022 |
Training neural networks using evolution based strategies and novelty search E Conti, V Madhavan, JM Clune, FP Such, JA Lehman, KO Stanley US Patent 11,068,787, 2021 | 2 | 2021 |
Scalable parameter encoding of artificial neural networks obtained via an evolutionary process FP Such, JM Clune, KO Stanley, E Conti, V Madhavan, JA Lehman US Patent 10,599,975, 2020 | 1 | 2020 |
Image Generation from Captions Using Dual-Loss Generative Adversarial Networks V Madhavan, P Cerles, N Desai | 1 | 2016 |
An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents F Petroski Such, V Madhavan, R Liu, R Wang, PS Castro, Y Li, J Zhi, ... arXiv e-prints, arXiv: 1812.07069, 2018 | | 2018 |
Examining the Effects of Supervision for Transfer from Synthetic to Real Driving Domains V Madhavan | | |