Publications
Scaling, Caching, and Constructing Data Pipelines with Reinforcement Learning for Recommenders
Invited Paper, ACM TORS 2024-01
Routing Over LLMs Using Proxy Metrics for Relative Quality Estimation
Under Submission 2023-10
InTune: Reinforcement Learning-based Data Pipeline Optimization for Deep Recommendation Models
PDFACM RecSys 2023 2023-09
Saturn: An Optimized Data System for Multi-Large-Model Deep Learning Workloads
PDF | GithubVLDB 2024 2023-09
Systems for Parallel and Distributed Large-Model Deep Learning Training
PDFArxiv Preprint 2023-01
Hydra: A System for Large Multi-Model Deep Learning (Preprint)
PDFArxiv Preprint 2021-10
Systems for Machine Learning
PDFThe Gradient 2021-08
Gradient-based Algorithms for Machine Teaching
PDFProceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2021-06
Model-Parallel Model Selection for Deep Learning Systems
PDFProceedings of the 2021 International Conference on Management of Data 2021-06
Cerebro: A Layered Data Platform for Scalable Deep Learning
PDF11th Annual Conference on Innovative Data Systems Research (CIDR 21) 2021-01
Sensor-Based Air Pollution Prediction using Deep CNN-LSTM
2020 International Conference on Computational Science and Computational Intelligence (CSCI) 2020-12
Satellite Image Atmospheric Air Pollution Prediction through Meteorological Graph Convolutional Network with Deep Convolutional LSTM
2020 International Conference on Computational Science and Computational Intelligence (CSCI) 2020-12
Incremental and Approximate Computations for Accelerating Deep CNN Inference
PDFACM Transactions on Database Systems 2020-03
As-Encountered Prediction of Tunnel Boring Machine Performance Parameters using Recurrent Neural Networks
PDFTransportation Research Record 2020-03