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05/23/2023
One-stop Training of Multiple Capacity Models for Multilingual Machine Translation
Training models with varying capacities can be advantageous for deployin...
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03/24/2023
CoLa-Diff: Conditional Latent Diffusion Model for Multi-Modal MRI Synthesis
MRI synthesis promises to mitigate the challenge of missing MRI modality...
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03/24/2023
DisC-Diff: Disentangled Conditional Diffusion Model for Multi-Contrast MRI Super-Resolution
Multi-contrast magnetic resonance imaging (MRI) is the most common manag...
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10/18/2022
ROSE: Robust Selective Fine-tuning for Pre-trained Language Models
Even though the large-scale language models have achieved excellent perf...
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09/14/2021
Detecting Layout Templates in Complex Multiregion Files
Spreadsheets are among the most commonly used file formats for data mana...
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09/06/2021
Exposing Length Divergence Bias of Textual Matching Models
Despite the remarkable success deep models have achieved in Textual Matc...
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06/04/2019
Improving Neural Language Models by Segmenting, Attending, and Predicting the Future
Common language models typically predict the next word given the context...
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03/17/2016
Tracking multiple moving objects in images using Markov Chain Monte Carlo
A new Bayesian state and parameter learning algorithm for multiple targe...
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10/08/2014
