Search Results for author: Catherine Tong

Found 7 papers, 2 papers with code

Predicting Patient Outcomes with Graph Representation Learning

1 code implementation11 Jan 2021 Emma Rocheteau, Catherine Tong, Petar Veličković, Nicholas Lane, Pietro Liò

Recent work on predicting patient outcomes in the Intensive Care Unit (ICU) has focused heavily on the physiological time series data, largely ignoring sparse data such as diagnoses and medications.

Graph Representation Learning Length-of-Stay prediction +3

IMUTube: Automatic Extraction of Virtual on-body Accelerometry from Video for Human Activity Recognition

no code implementations29 May 2020 Hyeokhyen Kwon, Catherine Tong, Harish Haresamudram, Yan Gao, Gregory D. Abowd, Nicholas D. Lane, Thomas Ploetz

The lack of large-scale, labeled data sets impedes progress in developing robust and generalized predictive models for on-body sensor-based human activity recognition (HAR).

Human Activity Recognition

Are Accelerometers for Activity Recognition a Dead-end?

no code implementations22 Jan 2020 Catherine Tong, Shyam A. Tailor, Nicholas D. Lane

Overall, our work highlights the need to move away from accelerometers and calls for further exploration of using imagers for activity recognition.

Feature Engineering Human Activity Recognition

The Surprising Behavior Of Graph Neural Networks

no code implementations25 Sep 2019 Vivek Kothari, Catherine Tong, Nicholas Lane

We highlight a lack of understanding of the behaviour of Graph Neural Networks (GNNs) in various topological contexts.


BinaryFlex: On-the-Fly Kernel Generation in Binary Convolutional Networks

no code implementations ICLR 2018 Vincent W.-S. Tseng, Sourav Bhattachary, Javier Fernández Marqués, Milad Alizadeh, Catherine Tong, Nicholas Donald Lane

In this work we present BinaryFlex, a neural network architecture that learns weighting coefficients of predefined orthogonal binary basis instead of the conventional approach of learning directly the convolutional filters.

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