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09/16/2023
Test-Time Compensated Representation Learning for Extreme Traffic Forecasting
Traffic forecasting is a challenging task due to the complex spatio-temp...
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07/16/2022
New and improved approximation algorithms for Steiner Tree Augmentation Problems
In the Steiner Tree Augmentation Problem (STAP), we are given a graph G ...
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06/06/2022
Fast Adversarial Training with Adaptive Step Size
While adversarial training and its variants have shown to be the most ef...
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02/14/2022
Finding Dynamics Preserving Adversarial Winning Tickets
Modern deep neural networks (DNNs) are vulnerable to adversarial attacks...
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11/27/2021
Safe Screening for Sparse Conditional Random Fields
Sparse Conditional Random Field (CRF) is a powerful technique in compute...
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11/10/2021
A Structure Feature Algorithm for Multi-modal Forearm Registration
Augmented reality technology based on image registration is becoming inc...
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10/16/2020
Parsimonious Quantile Regression of Financial Asset Tail Dynamics via Sequential Learning
We propose a parsimonious quantile regression framework to learn the dyn...
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11/23/2018
A Sufficient Condition for Convergences of Adam and RMSProp
Adam and RMSProp, as two of the most influential adaptive stochastic alg...
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06/02/2018
Hierarchical Attention-Based Recurrent Highway Networks for Time Series Prediction
Time series prediction has been studied in a variety of domains. However...
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05/22/2018
Safe Element Screening for Submodular Function Minimization
Submodular functions are discrete analogs of convex functions, which hav...
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07/24/2016