Agrawal, Pulkit

Curiosity-Driven Exploration by Self-Supervised Prediction

Pathak, D., Agrawal, P., Efros, A. A., & Darrell, T. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 1,815

Fully Automated Echocardiogram Interpretation in Clinical Practice: Feasibility and Diagnostic Accuracy

Zhang, J., Gajjala, S., Agrawal, P., Tison, G. H., Hallock, L. A., Beussink-Nelson, L., Lassen, M. H., Fan, E., Aras, M. A., Jordan, C., et al. (2018) · Circulation

Artificial Intelligence in Healthcare and EducationCardiovascular Function and Risk Factors

Cited by 1,006

Human Pose Estimation with Iterative Error Feedback

Carreira, J., Agrawal, P., Fragkiadaki, K., & Malik, J. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Human Pose and Action RecognitionAdvanced Neural Network Applications

Cited by 805

Analyzing the Performance of Multilayer Neural Networks for Object Recognition

Agrawal, P., Girshick, R., & Malik, J. (2014) · Lecture Notes in Computer Science

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 427

A System for General In-Hand Object Re-Orientation

Chen, T., Xu, J., & Agrawal, P. (2021) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 110

OpenEQA: Embodied Question Answering in the Era of Foundation Models

Majumdar, A., Ajay, A., Zhang, X., Putta, P., Yenamandra, S., Henaff, M., Silwal, S., Mcvay, P., Maksymets, O., Arnaud, S., et al. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsRobot Manipulation and Learning

Cited by 101

Is Conditional Generative Modeling all you need for Decision-Making?

Ajay, A., Du, Y., Gupta, A., Tenenbaum, J., Jaakkola, T., & Agrawal, P. (2022) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 61

Self-Adapting Language Models

Zweiger, A., Pari, J., Guo, H., Akyürek, E., Kim, Y., & Agrawal, P. (2025) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 3