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 002; Ravi Teja Mullapudi; Fait Poms; Kayvon Fatahalian; Christopher Ré (CoRR, 2020)

Background Splitting: Finding Rare Classes in a Sea of Background. - Ravi Teja Mullapudi; Fait Poms; William R. Mark; Deva Ramanan; Kayvon Fatahalian (CVPR, 2021)

Learning Rare Category Classifiers on a Tight Labeling Budget. - Ravi Teja Mullapudi; Fait Poms; William R. Mark; Deva Ramanan; Kayvon Fatahalian (ICCV, 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 (ICCV, 2021)

Mandoline: Model Evaluation under Distribution Shift. - Mayee F. Chen; Karan Goel; Nimit Sharad Sohoni; Fait Poms; Kayvon Fatahalian; Christopher Ré (ICML, 2021)

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)