activity
20172020
most citedShortFuse: Biomedical Time Series Representations in the Presence of Structured Information

2 citations · 2 across the 1 of their papers we have counts for

collaborators

5 papers

cs.CL2020

Are Natural Language Inference Models IMPPRESsive? Learning IMPlicature and PRESupposition

Paloma Jeretic, Alex Warstadt, Suvrat Bhooshan +1

Natural language inference (NLI) is an increasingly important task for natural language understanding, which requires one to infer whether a sentence entails another. However, the…

cs.CL2019

Supervised Multimodal Bitransformers for Classifying Images and Text

Douwe Kiela, Suvrat Bhooshan, Hamed Firooz +2

Self-supervised bidirectional transformer models such as BERT have led to dramatic improvements in a wide variety of textual classification tasks. The modern digital world is incre…

cs.CV2019

Needles in Haystacks: On Classifying Tiny Objects in Large Images

Nick Pawlowski, Suvrat Bhooshan, Nicolas Ballas +3

In some important computer vision domains, such as medical or hyperspectral imaging, we care about the classification of tiny objects in large images. However, most Convolutional N…

cs.LG2018

Drive2Vec: Multiscale State-Space Embedding of Vehicular Sensor Data

David Hallac, Suvrat Bhooshan, Michael Chen +3

With automobiles becoming increasingly reliant on sensors to perform various driving tasks, it is important to encode the relevant CAN bus sensor data in a way that captures the ge…

stat.ML20172 cited

ShortFuse: Biomedical Time Series Representations in the Presence of Structured Information

Madalina Fiterau, Suvrat Bhooshan, Jason Fries +5

In healthcare applications, temporal variables that encode movement, health status and longitudinal patient evolution are often accompanied by rich structured information such as d…