Fait Poms

Publication Activity (10 Years)

Years Active: 2020-2022
Publications (10 Years): 9

Top Topics

Markov Chain Monte Carlo

Importance Sampling

Probability Model

Particle Filtering

Top Venues

ACM Trans. Graph.

Publications

Sadjad Fouladi, Brennan Shacklett, Fait Poms, Arjun Arora, Alex Ozdemir, Deepti Raghavan, Pat Hanrahan, Kayvon Fatahalian, Keith Winstein
R2E2: low-latency path tracing of terabyte-scale scenes using thousands of cloud CPUs. ACM Trans. Graph. 41 (4) (2022)
Mayee F. Chen, Karan Goel, Nimit Sharad Sohoni, Fait Poms, Kayvon Fatahalian, Christopher Ré
Mandoline: Model Evaluation under Distribution Shift. ICML (2021)
Fait Poms, Vishnu Sarukkai, Ravi Teja Mullapudi, Nimit Sharad Sohoni, William R. Mark, Deva Ramanan, Kayvon Fatahalian
Low-Shot Validation: Active Importance Sampling for Estimating Classifier Performance on Rare Categories. ICCV (2021)
Mayee F. Chen, Karan Goel, Nimit Sharad Sohoni, Fait Poms, Kayvon Fatahalian, Christopher Ré
Mandoline: Model Evaluation under Distribution Shift. CoRR (2021)
Ravi Teja Mullapudi, Fait Poms, William R. Mark, Deva Ramanan, Kayvon Fatahalian
Learning Rare Category Classifiers on a Tight Labeling Budget. ICCV (2021)
Fait Poms, Vishnu Sarukkai, Ravi Teja Mullapudi, Nimit Sharad Sohoni, William R. Mark, Deva Ramanan, Kayvon Fatahalian
Low-Shot Validation: Active Importance Sampling for Estimating Classifier Performance on Rare Categories. CoRR (2021)
Ravi Teja Mullapudi, Fait Poms, William R. Mark, Deva Ramanan, Kayvon Fatahalian
Background Splitting: Finding Rare Classes in a Sea of Background. CVPR (2021)
Mayee F. Chen, Daniel Y. Fu, Frederic Sala, Sen Wu, Ravi Teja Mullapudi, Fait Poms, Kayvon Fatahalian, Christopher Ré
Train and You'll Miss It: Interactive Model Iteration with Weak Supervision and Pre-Trained Embeddings. CoRR (2020)
Ravi Teja Mullapudi, Fait Poms, William R. Mark, Deva Ramanan, Kayvon Fatahalian
Background Splitting: Finding Rare Classes in a Sea of Background. CoRR (2020)