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Deepak Pathak
Deepak Pathak
Assistant Professor, Carnegie Mellon University
Подтвержден адрес электронной почты в домене cs.cmu.edu - Главная страница
Название
Процитировано
Процитировано
Год
Context encoders: Feature learning by inpainting
D Pathak, P Krahenbuhl, J Donahue, T Darrell, AA Efros
Proceedings of the IEEE conference on computer vision and pattern …, 2016
69512016
Curiosity-driven exploration by self-supervised prediction
D Pathak, P Agrawal, AA Efros, T Darrell
International Conference on Machine Learning, 2778-2787, 2017
30722017
Toward Multimodal Image-to-Image Translation
JY Zhu, R Zhang, D Pathak, T Darrell, AA Efros, O Wang, E Shechtman
Advances in Neural Information Processing Systems, 465-476, 2017
19932017
Language models as zero-shot planners: Extracting actionable knowledge for embodied agents
W Huang, P Abbeel, D Pathak, I Mordatch
International conference on machine learning, 9118-9147, 2022
10722022
Large-scale study of curiosity-driven learning
Y Burda, H Edwards, D Pathak, A Storkey, T Darrell, AA Efros
arXiv preprint arXiv:1808.04355, 2018
9182018
Constrained convolutional neural networks for weakly supervised segmentation
D Pathak, P Krahenbuhl, T Darrell
Proceedings of the IEEE international conference on computer vision, 1796-1804, 2015
7882015
Learning features by watching objects move
D Pathak, R Girshick, P Dollár, T Darrell, B Hariharan
Proceedings of the IEEE conference on computer vision and pattern …, 2017
6352017
Rma: Rapid motor adaptation for legged robots
A Kumar, Z Fu, D Pathak, J Malik
arXiv preprint arXiv:2107.04034, 2021
5382021
Open x-embodiment: Robotic learning datasets and rt-x models
A O'Neill, A Rehman, A Gupta, A Maddukuri, A Gupta, A Padalkar, A Lee, ...
arXiv preprint arXiv:2310.08864, 2023
474*2023
Planning to explore via self-supervised world models
R Sekar, O Rybkin, K Daniilidis, P Abbeel, D Hafner, D Pathak
International conference on machine learning, 8583-8592, 2020
4612020
Self-supervised exploration via disagreement
D Pathak, D Gandhi, A Gupta
International conference on machine learning, 5062-5071, 2019
4572019
Fully convolutional multi-class multiple instance learning
D Pathak, E Shelhamer, J Long, T Darrell
arXiv preprint arXiv:1412.7144, 2014
4052014
Zero-shot visual imitation
D Pathak, P Mahmoudieh, G Luo, P Agrawal, D Chen, Y Shentu, ...
Proceedings of the IEEE conference on computer vision and pattern …, 2018
3312018
Compositional gan: Learning image-conditional binary composition
S Azadi, D Pathak, S Ebrahimi, T Darrell
International Journal of Computer Vision 128 (10), 2570-2585, 2020
3232020
Your diffusion model is secretly a zero-shot classifier
AC Li, M Prabhudesai, S Duggal, E Brown, D Pathak
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
2212023
Legged locomotion in challenging terrains using egocentric vision
A Agarwal, A Kumar, J Malik, D Pathak
Conference on robot learning, 403-415, 2023
2182023
Investigating human priors for playing video games
R Dubey, P Agrawal, D Pathak, TL Griffiths, AA Efros
arXiv preprint arXiv:1802.10217, 2018
2082018
One policy to control them all: Shared modular policies for agent-agnostic control
W Huang, I Mordatch, D Pathak
International Conference on Machine Learning, 4455-4464, 2020
1792020
Flavr: Flow-agnostic video representations for fast frame interpolation
T Kalluri, D Pathak, M Chandraker, D Tran
Proceedings of the IEEE/CVF winter conference on applications of computer …, 2023
1632023
Deep whole-body control: learning a unified policy for manipulation and locomotion
Z Fu, X Cheng, D Pathak
Conference on Robot Learning, 138-149, 2023
1462023
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