Pulkit Agrawal
Zitiert von
Zitiert von
Curiosity-driven exploration by self-supervised prediction
D Pathak, P Agrawal, AA Efros, T Darrell
International conference on machine learning, 2778-2787, 2017
Human pose estimation with iterative error feedback
J Carreira, P Agrawal, K Fragkiadaki, J Malik
Proceedings of the IEEE conference on computer vision and pattern …, 2016
What makes ImageNet good for transfer learning?
M Huh, P Agrawal, AA Efros
Advances in Neural Information Processing Systems Workshop, 2016
Fully automated echocardiogram interpretation in clinical practice: feasibility and diagnostic accuracy
J Zhang, S Gajjala, P Agrawal, GH Tison, LA Hallock, L Beussink-Nelson, ...
Circulation 138 (16), 1623-1635, 2018
Learning to see by moving
P Agrawal, J Carreira, J Malik
Proceedings of the IEEE international conference on computer vision, 37-45, 2015
Learning to poke by poking: Experiential learning of intuitive physics
P Agrawal, AV Nair, P Abbeel, J Malik, S Levine
Advances in neural information processing systems 29, 2016
Analyzing the performance of multilayer neural networks for object recognition
P Agrawal, R Girshick, J Malik
Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014
Combining self-supervised learning and imitation for vision-based rope manipulation
A Nair, D Chen, P Agrawal, P Isola, P Abbeel, J Malik, S Levine
2017 IEEE international conference on robotics and automation (ICRA), 2146-2153, 2017
Zero-shot visual imitation
D Pathak, P Mahmoudieh, G Luo, P Agrawal, D Chen, Y Shentu, ...
International Conference on Learning Representations, 2018
Learning visual predictive models of physics for playing billiards
K Fragkiadaki, P Agrawal, S Levine, J Malik
International Conference on Learning Representations, 2015
Investigating human priors for playing video games
R Dubey, P Agrawal, D Pathak, TL Griffiths, AA Efros
Proceedings of the 35th International Conference on Machine Learning, 1349--1357, 2018
A system for general in-hand object re-orientation
T Chen, J Xu, P Agrawal
Conference on Robot Learning, 297-307, 2022
Opal: Offline primitive discovery for accelerating offline reinforcement learning
A Ajay, A Kumar, P Agrawal, S Levine, O Nachum
arXiv preprint arXiv:2010.13611, 2020
Is conditional generative modeling all you need for decision-making?
A Ajay, Y Du, A Gupta, J Tenenbaum, T Jaakkola, P Agrawal
arXiv preprint arXiv:2211.15657, 2022
Superposition of many models into one
B Cheung, A Terekhov, Y Chen, P Agrawal, B Olshausen
arXiv preprint arXiv:1902.05522, 2019
Pixels to voxels: modeling visual representation in the human brain
P Agrawal, D Stansbury, J Malik, JL Gallant
arXiv preprint arXiv:1407.5104, 2014
Generic 3d representation via pose estimation and matching
AR Zamir, T Wekel, P Agrawal, C Wei, J Malik, S Savarese
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016
Equivariant self-supervised learning: Encouraging equivariance in representations
R Dangovski, L Jing, C Loh, S Han, A Srivastava, B Cheung, P Agrawal, ...
International Conference on Learning Representations, 2021
Towards practical multi-object manipulation using relational reinforcement learning
R Li, A Jabri, T Darrell, P Agrawal
2020 ieee international conference on robotics and automation (icra), 4051-4058, 2020
3d neural scene representations for visuomotor control
Y Li, S Li, V Sitzmann, P Agrawal, A Torralba
Conference on Robot Learning, 112-123, 2022
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