Fait Poms

According to our database, Fait Poms authored at least 6 papers between 2020 and 2022.

Collaborative distances:

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

2022

R2E2: low-latency path tracing of terabyte-scale scenes using thousands of cloud CPUs.

Sadjad Fouladi, Brennan Shacklett, Fait Poms, Arjun Arora, Alex Ozdemir, Deepti Raghavan, Pat Hanrahan, Kayvon Fatahalian, Keith Winstein

ACM Trans. Graph., 2022

2021

Mandoline: Model Evaluation under Distribution Shift.

Mayee F. Chen, Karan Goel, Nimit Sharad Sohoni, Fait Poms, Kayvon Fatahalian, Christopher Ré

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

Low-Shot Validation: Active Importance Sampling for Estimating Classifier Performance on Rare Categories.

Fait Poms, Vishnu Sarukkai, Ravi Teja Mullapudi, Nimit Sharad Sohoni, William R. Mark, Deva Ramanan, Kayvon Fatahalian

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Learning Rare Category Classifiers on a Tight Labeling Budget.

Ravi Teja Mullapudi, Fait Poms, William R. Mark, Deva Ramanan, Kayvon Fatahalian

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Background Splitting: Finding Rare Classes in a Sea of Background.

Ravi Teja Mullapudi, Fait Poms, William R. Mark, Deva Ramanan, Kayvon Fatahalian

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Train and You'll Miss It: Interactive Model Iteration with Weak Supervision and Pre-Trained Embeddings.

Mayee F. Chen, Daniel Y. Fu, Frederic Sala, Sen Wu, Ravi Teja Mullapudi, Fait Poms, Kayvon Fatahalian, Christopher Ré

CoRR, 2020