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08/14/2023
CupCleaner: A Data Cleaning Approach for Comment Updating
Recently, deep learning-based techniques have shown promising performanc...
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05/18/2023
Minimum-Risk Recalibration of Classifiers
Recalibrating probabilistic classifiers is vital for enhancing the relia...
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12/04/2022
Incorporating Polar Field Data for Improved Solar Flare Prediction
In this paper, we consider incorporating data associated with the sun's ...
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12/04/2022
Kronecker-structured Covariance Models for Multiway Data
Many applications produce multiway data of exceedingly high dimension. M...
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06/03/2022
Kallima: A Clean-label Framework for Textual Backdoor Attacks
Although Deep Neural Network (DNN) has led to unprecedented progress in ...
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04/07/2022
Predicting Solar Flares Using CNN and LSTM on Two Solar Cycles of Active Region Data
We consider the flare prediction problem that distinguishes flare-immine...
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08/27/2021
Lyra: A Benchmark for Turducken-Style Code Generation
Code generation is crucial to reduce manual software development efforts...
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02/23/2021
Dynamic Labeling for Unlabeled Graph Neural Networks
Existing graph neural networks (GNNs) largely rely on node embeddings, w...
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08/12/2020
OCoR: An Overlapping-Aware Code Retriever
Code retrieval helps developers reuse the code snippet in the open-sourc...
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02/25/2020
NOMA Design with Power-Outage Tradeoff for Two-User Systems
This letter proposes a modified non-orthogonal multiple-access (NOMA) sc...
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01/26/2020
NLocalSAT: Boosting Local Search with Solution Prediction
The boolean satisfiability problem is a famous NP-complete problem in co...
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11/22/2019
TreeGen: A Tree-Based Transformer Architecture for Code Generation
A code generation system generates programming language code based on an...
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10/07/2019
Automatic Testing and Improvement of Machine Translation
This paper presents TransRepair, a fully automatic approach for testing ...
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11/14/2018