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07/10/2023
Substance or Style: What Does Your Image Embedding Know?
Probes are small networks that predict properties of underlying data fro...
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10/21/2021
Quantifying the sustainability impact of Google Maps: A case study of Salt Lake City
Google Maps uses current and historical traffic trends to provide routes...
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09/23/2021
An Efficient Simulation-Based Travel Demand Calibration Algorithm for Large-Scale Metropolitan Traffic Models
Metropolitan scale vehicular traffic modeling is used by a variety of pr...
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12/22/2020
Graph Autoencoders with Deconvolutional Networks
Recent studies have indicated that Graph Convolutional Networks (GCNs) a...
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12/01/2020
Adversarial Robustness Across Representation Spaces
Adversarial robustness corresponds to the susceptibility of deep neural ...
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10/19/2020
Surprise: Result List Truncation via Extreme Value Theory
Work in information retrieval has largely been centered around ranking a...
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08/17/2020
Generative Models are Unsupervised Predictors of Page Quality: A Colossal-Scale Study
Large generative language models such as GPT-2 are well-known for their ...
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07/02/2020
BusTr: Predicting Bus Travel Times from Real-Time Traffic
We present BusTr, a machine-learned model for translating road traffic f...
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04/26/2020
Choppy: Cut Transformer For Ranked List Truncation
Work in information retrieval has traditionally focused on ranking and r...
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04/13/2020
Reverse Engineering Configurations of Neural Text Generation Models
This paper seeks to develop a deeper understanding of the fundamental pr...
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10/24/2019
Preventing Adversarial Use of Datasets through Fair Core-Set Construction
We propose improving the privacy properties of a dataset by publishing o...
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04/05/2017
Linear Additive Markov Processes
We introduce LAMP: the Linear Additive Markov Process. Transitions in LA...
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02/01/2017
Single versus Double Blind Reviewing at WSDM 2017
In this paper we study the implications for conference program committee...
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06/15/2016
