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09/06/2023
Federated Learning Over Images: Vertical Decompositions and Pre-Trained Backbones Are Difficult to Beat
We carefully evaluate a number of algorithms for learning in a federated...
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05/31/2023
Auto-Differentiation of Relational Computations for Very Large Scale Machine Learning
The relational data model was designed to facilitate large-scale data ma...
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05/25/2023
Tuning Models of Code with Compiler-Generated Reinforcement Learning Feedback
Large Language Models (LLMs) pre-trained on code have recently emerged a...
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10/28/2022
LOFT: Finding Lottery Tickets through Filter-wise Training
Recent work on the Lottery Ticket Hypothesis (LTH) shows that there exis...
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10/28/2022
Efficient and Light-Weight Federated Learning via Asynchronous Distributed Dropout
Asynchronous learning protocols have regained attention lately, especial...
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10/26/2021
Neural Program Generation Modulo Static Analysis
State-of-the-art neural models of source code tend to be evaluated on th...
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01/03/2021
Few-shot Image Classification: Just Use a Library of Pre-trained Feature Extractors and a Simple Classifier
Recent papers have suggested that transfer learning can outperform sophi...
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09/01/2020
Tensor Relational Algebra for Machine Learning System Design
Machine learning (ML) systems have to support various tensor operations....
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06/30/2020
Lachesis: Automated Generation of Persistent Partitionings for UDF-Centric Analytics
Persistent partitioning is effective in avoiding expensive shuffling ope...
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04/17/2020
Meta-Meta-Classification for One-Shot Learning
We present a new approach, called meta-meta-classification, to learning ...
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01/10/2020
Searching a Database of Source Codes Using Contextualized Code Search
We assume a database containing a large set of program source codes and ...
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04/25/2019
Declarative Recursive Computation on an RDBMS, or, Why You Should Use a Database For Distributed Machine Learning
A number of popular systems, most notably Google's TensorFlow, have been...
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08/18/2018
Pangea: Monolithic Distributed Storage for Data Analytics
Storage and memory systems for modern data analytics are heavily layered...
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11/15/2017
PlinyCompute: A Platform for High-Performance, Distributed, Data-Intensive Tool Development
This paper describes PlinyCompute, a system for development of high-perf...
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05/25/2017