Paras Jain

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 24

Top Topics

Triangular Mesh

Question Answering

Top Venues

Publications

Sarah Wooders, Shu Liu, Paras Jain, Xiangxi Mo, Joseph E. Gonzalez, Vincent Liu, Ion Stoica
Cloudcast: High-Throughput, Cost-Aware Overlay Multicast in the Cloud. NSDI (2024)
Paras Jain, Peter Kraft, Conor Power, Tathagata Das, Ion Stoica, Matei Zaharia
Analyzing and Comparing Lakehouse Storage Systems. CIDR (2023)
Paras Jain, Sam Kumar, Sarah Wooders, Shishir G. Patil, Joseph E. Gonzalez, Ion Stoica
Skyplane: Optimizing Transfer Cost and Throughput Using Cloud-Aware Overlays. NSDI (2023)
Shishir G. Patil, Paras Jain, Prabal Dutta, Ion Stoica, Joseph Gonzalez
POET: Training Neural Networks on Tiny Devices with Integrated Rematerialization and Paging. ICML (2022)
Shishir G. Patil, Paras Jain, Prabal Dutta, Ion Stoica, Joseph E. Gonzalez
POET: Training Neural Networks on Tiny Devices with Integrated Rematerialization and Paging. CoRR (2022)
Zhanghao Wu, Paras Jain, Matthew A. Wright, Azalia Mirhoseini, Joseph E. Gonzalez, Ion Stoica
Representing Long-Range Context for Graph Neural Networks with Global Attention. CoRR (2022)
Paras Jain, Sam Kumar, Sarah Wooders, Shishir G. Patil, Joseph E. Gonzalez, Ion Stoica
Skyplane: Optimizing Transfer Cost and Throughput Using Cloud-Aware Overlays. CoRR (2022)
Paras Jain, Safeen Huda, Martin Maas, Joseph E. Gonzalez, Ion Stoica, Azalia Mirhoseini
Learning to Design Accurate Deep Learning Accelerators with Inaccurate Multipliers. DATE (2022)
Paras Jain, Ajay Jain, Tianjun Zhang, Pieter Abbeel, Joseph Gonzalez, Ion Stoica
Contrastive Code Representation Learning. EMNLP (1) (2021)
Zhanghao Wu, Paras Jain, Matthew A. Wright, Azalia Mirhoseini, Joseph E. Gonzalez, Ion Stoica
Representing Long-Range Context for Graph Neural Networks with Global Attention. NeurIPS (2021)
Yu Gai, Paras Jain, Wendi Zhang, Joseph E. Gonzalez, Dawn Song, Ion Stoica
Grounded Graph Decoding Improves Compositional Generalization in Question Answering. CoRR (2021)
Yu Gai, Paras Jain, Wendi Zhang, Joseph Gonzalez, Dawn Song, Ion Stoica
Grounded Graph Decoding improves Compositional Generalization in Question Answering. EMNLP (Findings) (2021)
Jeffrey Ichnowski, Paras Jain, Bartolomeo Stellato, Goran Banjac, Michael Luo, Francesco Borrelli, Joseph E. Gonzalez, Ion Stoica, Ken Goldberg
Accelerating Quadratic Optimization with Reinforcement Learning. CoRR (2021)
Jeffrey Ichnowski, Paras Jain, Bartolomeo Stellato, Goran Banjac, Michael Luo, Francesco Borrelli, Joseph E. Gonzalez, Ion Stoica, Ken Goldberg
Accelerating Quadratic Optimization with Reinforcement Learning. NeurIPS (2021)
Paras Jain, Ajay Jain, Aniruddha Nrusimha, Amir Gholami, Pieter Abbeel, Kurt Keutzer, Ion Stoica, Joseph Gonzalez
Checkmate: Breaking the Memory Wall with Optimal Tensor Rematerialization. MLSys (2020)
Paras Jain, Ajay Jain, Tianjun Zhang, Pieter Abbeel, Joseph E. Gonzalez, Ion Stoica
Contrastive Code Representation Learning. CoRR (2020)
Charith Mendis, Ajay Jain, Paras Jain, Saman P. Amarasinghe
Revec: Program Rejuvenation through Revectorization. CoRR (2019)
Charith Mendis, Ajay Jain, Paras Jain, Saman P. Amarasinghe
Revec: program rejuvenation through revectorization. CC (2019)
Paras Jain, Xiangxi Mo, Ajay Jain, Alexey Tumanov, Joseph E. Gonzalez, Ion Stoica
The OoO VLIW JIT Compiler for GPU Inference. CoRR (2019)
Paden Tomasello, Sammy Sidhu, Anting Shen, Matthew W. Moskewicz, Nobie Redmon, Gayatri Joshi, Romi Phadte, Paras Jain, Forrest N. Iandola
DSCnet: Replicating Lidar Point Clouds With Deep Sensor Cloning. CVPR Workshops (2019)
Paras Jain, Xiangxi Mo, Ajay Jain, Harikaran Subbaraj, Rehan Sohail Durrani, Alexey Tumanov, Joseph Gonzalez, Ion Stoica
Dynamic Space-Time Scheduling for GPU Inference. CoRR (2019)
Paden Tomasello, Sammy Sidhu, Anting Shen, Matthew W. Moskewicz, Nobie Redmon, Gayatri Joshi, Romi Phadte, Paras Jain, Forrest N. Iandola
DSCnet: Replicating Lidar Point Clouds With Deep Sensor Cloning. CVPR Workshops (2019)
Paras Jain, Ajay Jain, Aniruddha Nrusimha, Amir Gholami, Pieter Abbeel, Kurt Keutzer, Ion Stoica, Joseph E. Gonzalez
Checkmate: Breaking the Memory Wall with Optimal Tensor Rematerialization. CoRR (2019)
Paden Tomasello, Sammy Sidhu, Anting Shen, Matthew W. Moskewicz, Nobie Redmon, Gayatri Joshi, Romi Phadte, Paras Jain, Forrest N. Iandola
DSCnet: Replicating Lidar Point Clouds with Deep Sensor Cloning. CoRR (2018)