Behzad Haghgoo

According to our database, Behzad Haghgoo authored at least 3 papers between 2019 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Discriminator Augmented Model-Based Reinforcement Learning.

Behzad Haghgoo, Allan Zhou, Archit Sharma, Chelsea Finn

CoRR, 2021

Just Train Twice: Improving Group Robustness without Training Group Information.

Evan Zheran Liu, Behzad Haghgoo, Annie S. Chen, Aditi Raghunathan, Pang Wei Koh, Shiori Sagawa, Percy Liang, Chelsea Finn

Proceedings of the 38th International Conference on Machine Learning, 2021

2019

CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison.

Jeremy Irvin, Pranav Rajpurkar, Michael Ko, Yifan Yu, Silviana Ciurea-Ilcus, Christopher Chute, Henrik Marklund, Behzad Haghgoo, Robyn L. Ball, Katie S. Shpanskaya, Jayne Seekins, David A. Mong, Safwan S. Halabi, Jesse K. Sandberg, Ricky Jones, David B. Larson, Curtis P. Langlotz, Bhavik N. Patel, Matthew P. Lungren, Andrew Y. Ng

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019