Ravi Teja Mullapudi

According to our database, Ravi Teja Mullapudi authored at least 11 papers between 2015 and 2022.

Collaborative distances:

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

2022

Dynamic Model Specialization for Efficient Inference, Training and Supervision.

Ravi Teja Mullapudi

PhD thesis, 2022

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

Learning to Move with Affordance Maps.

William Qi, Ravi Teja Mullapudi, Saurabh Gupta, Deva Ramanan

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Online Model Distillation for Efficient Video Inference.

Ravi Teja Mullapudi, Steven Chen, Keyi Zhang, Deva Ramanan, Kayvon Fatahalian

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

HydraNets: Specialized Dynamic Architectures for Efficient Inference.

Ravi Teja Mullapudi, William R. Mark, Noam Shazeer, Kayvon Fatahalian

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2016

Compiling Affine Loop Nests for a Dynamic Scheduling Runtime on Shared and Distributed Memory.

Roshan Dathathri, Ravi Teja Mullapudi, Uday Bondhugula

ACM Trans. Parallel Comput., 2016

Automatically scheduling halide image processing pipelines.

Ravi Teja Mullapudi, Andrew Adams, Dillon Sharlet, Jonathan Ragan-Kelley, Kayvon Fatahalian

ACM Trans. Graph., 2016

2015

PolyMage: Automatic Optimization for Image Processing Pipelines.

Ravi Teja Mullapudi, Vinay Vasista, Uday Bondhugula

Proceedings of the Twentieth International Conference on Architectural Support for Programming Languages and Operating Systems, 2015