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08/02/2023
The Shapes of the Fourth Estate During the Pandemic: Profiling COVID-19 News Consumption in Eight Countries
News media is often referred to as the Fourth Estate, a recognition of i...
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02/28/2023
Sampled Transformer for Point Sets
The sparse transformer can reduce the computational complexity of the se...
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06/10/2022
Smallset Timelines: A Visual Representation of Data Preprocessing Decisions
Data preprocessing is a crucial stage in the data analysis pipeline, wit...
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04/25/2022
Determinantal Point Process Likelihoods for Sequential Recommendation
Sequential recommendation is a popular task in academic research and clo...
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01/31/2022
Fair Wrapping for Black-box Predictions
We introduce a new family of techniques to post-process ("wrap") a black...
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11/27/2021
Factorized Fourier Neural Operators
The Fourier Neural Operator (FNO) is a learning-based method for efficie...
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04/16/2021
Interval-censored Hawkes processes
This work builds a novel point process and tools to use the Hawkes proce...
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02/15/2021
Radflow: A Recurrent, Aggregated, and Decomposable Model for Networks of Time Series
We propose a new model for networks of time series that influence each o...
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02/03/2021
AttentionFlow: Visualising Influence in Networks of Time Series
The collective attention on online items such as web pages, search terms...
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10/06/2020
SupMMD: A Sentence Importance Model for Extractive Summarization using Maximum Mean Discrepancy
Most work on multi-document summarization has focused on generic summari...
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07/28/2020
Universal Approximation with Neural Intensity Point Processes
We propose a class of neural network models that universally approximate...
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04/17/2020
Transform and Tell: Entity-Aware News Image Captioning
We propose an end-to-end model which generates captions for images embed...
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03/21/2020
Variation across Scales: Measurement Fidelity under Twitter Data Sampling
A comprehensive understanding of data bias is the cornerstone of mitigat...
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12/21/2019
Quantile Propagation for Wasserstein-Approximate Gaussian Processes
In this work, we develop a new approximation method to solve the analyti...
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09/05/2019
Author Growth Outstrips Publication Growth in Computer Science and Publication Quality Correlates with Collaboration
Although the computer science community successfully harnessed exponenti...
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08/20/2019
Estimating Attention Flow in Online Video Networks
Online videos have shown tremendous increase in Internet traffic. Most v...
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08/20/2019
Estimating Attention Flow in Online Video Network
Online videos have shown tremendous increase in Internet traffic. Most v...
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08/04/2019
ASNets: Deep Learning for Generalised Planning
In this paper, we discuss the learning of generalised policies for proba...
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07/30/2019
Influence Flowers of Academic Entities
We present the Influence Flower, a new visual metaphor for the influence...
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12/06/2018
Comparative Document Summarisation via Classification
This paper considers extractive summarisation in a comparative setting: ...
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10/08/2018
Efficient Non-parametric Bayesian Hawkes Processes
In this paper, we develop a non-parametric Bayesian estimation of Hawkes...
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08/13/2018
D-PAGE: Diverse Paraphrase Generation
In this paper, we investigate the diversity aspect of paraphrase generat...
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06/29/2018
GOTO Rankings Considered Helpful
Rankings are a fact of life. Whether or not one likes them, they exist a...
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05/18/2018
SemStyle: Learning to Generate Stylised Image Captions using Unaligned Text
Linguistic style is an essential part of written communication, with the...
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05/15/2018
Simplifying Sentences with Sequence to Sequence Models
We simplify sentences with an attentive neural network sequence to seque...
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04/06/2018
Modeling Popularity in Asynchronous Social Media Streams with Recurrent Neural Networks
Understanding and predicting the popularity of online items is an import...
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10/17/2017
Describing Natural Images Containing Novel Objects with Knowledge Guided Assitance
Images in the wild encapsulate rich knowledge about varied abstract conc...
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09/13/2017
Action Schema Networks: Generalised Policies with Deep Learning
In this paper, we introduce the Action Schema Network (ASNet): a neural ...
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09/08/2017
Beyond Views: Measuring and Predicting Engagement in Online Videos
Online videos account for 73 and proportional amount of traffic are stil...
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09/08/2017
Beyond Views: Measuring and Predicting Engagement on YouTube Videos
This work studies engagement, or time spent watching online videos. Most...
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08/21/2017
A Tutorial on Hawkes Processes for Events in Social Media
This chapter provides an accessible introduction for point processes, an...
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08/21/2016
Probabilistic Knowledge Graph Construction: Compositional and Incremental Approaches
Knowledge graph construction consists of two tasks: extracting informati...
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10/06/2015