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03/15/2023
F-IVM: Analytics over Relational Databases under Updates
This article describes F-IVM, a unified approach for maintaining analyti...
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06/17/2022
Conjunctive Queries with Output Access Patterns under Updates
We study the dynamic evaluation of conjunctive queries with output acces...
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04/28/2022
Schrödinger's FP: Dynamic Adaptation of Floating-Point Containers for Deep Learning Training
We introduce a software-hardware co-design approach to reduce memory tra...
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07/29/2021
Machine Learning over Static and Dynamic Relational Data
This tutorial overviews principles behind recent works on training and m...
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07/12/2021
Measuring scientific output of researchers by t-index and Data Envelopment Analysis
There is a growing need for ranking universities, departments, research ...
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11/12/2020
Scalable Querying of Nested Data
While large-scale distributed data processing platforms have become an a...
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06/01/2020
F-IVM: Learning over Fast-Evolving Relational Data
F-IVM is a system for real-time analytics such as machine learning appli...
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04/07/2020
Maintaining Triangle Queries under Updates
We consider the problem of incrementally maintaining the triangle querie...
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02/08/2020
BitPruning: Learning Bitlengths for Aggressive and Accurate Quantization
Neural networks have demonstrably achieved state-of-the art accuracy usi...
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07/03/2019
Trade-offs in Static and Dynamic Evaluation of Hierarchical Queries
We investigate trade-offs in static and dynamic evaluation of hierarchic...
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05/10/2018
Laconic Deep Learning Computing
We motivate a method for transparently identifying ineffectual computati...
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04/17/2018
DPRed: Making Typical Activation Values Matter In Deep Learning Computing
We show that selecting a fixed precision for all activations in Convolut...
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04/09/2018
Counting Triangles under Updates in Worst-Case Optimal Time
We consider the problem of incrementally maintaining the triangle count ...
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03/09/2018