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09/04/2023
Blind Biological Sequence Denoising with Self-Supervised Set Learning
Biological sequence analysis relies on the ability to denoise the imprec...
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12/20/2022
Tuning the Tail Latency of Distributed Queries Using Replication
Querying graph data with low latency is an important requirement in appl...
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09/12/2022
If Influence Functions are the Answer, Then What is the Question?
Influence functions efficiently estimate the effect of removing a single...
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07/05/2022
Predicting Out-of-Domain Generalization with Local Manifold Smoothness
Understanding how machine learning models generalize to new environments...
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10/30/2020
Improving Dialogue Breakdown Detection with Semi-Supervised Learning
Building user trust in dialogue agents requires smooth and consistent di...
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09/21/2020
SSMBA: Self-Supervised Manifold Based Data Augmentation for Improving Out-of-Domain Robustness
Models that perform well on a training domain often fail to generalize t...
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08/15/2019
Simple and Effective Noisy Channel Modeling for Neural Machine Translation
Previous work on neural noisy channel modeling relied on latent variable...
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07/15/2019
Facebook FAIR's WMT19 News Translation Task Submission
This paper describes Facebook FAIR's submission to the WMT19 shared news...
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04/09/2019
Embryo staging with weakly-supervised region selection and dynamically-decoded predictions
To optimize clinical outcomes, fertility clinics must strategically sele...
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04/01/2019
fairseq: A Fast, Extensible Toolkit for Sequence Modeling
fairseq is an open-source sequence modeling toolkit that allows research...
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02/17/2017