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09/18/2023
Discovering Sounding Objects by Audio Queries for Audio Visual Segmentation
Audio visual segmentation (AVS) aims to segment the sounding objects for...
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08/10/2023
Metacognitive Prompting Improves Understanding in Large Language Models
In Large Language Models (LLMs), there have been consistent advancements...
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05/10/2023
An Empirical Study on the Robustness of the Segment Anything Model (SAM)
The Segment Anything Model (SAM) is a foundation model for general image...
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04/09/2023
Are Large Language Models Ready for Healthcare? A Comparative Study on Clinical Language Understanding
Large language models (LLMs) have made significant progress in various d...
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03/25/2023
DeepVecFont-v2: Exploiting Transformers to Synthesize Vector Fonts with Higher Quality
Vector font synthesis is a challenging and ongoing problem in the fields...
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08/22/2022
Meta-Causal Feature Learning for Out-of-Distribution Generalization
Causal inference has become a powerful tool to handle the out-of-distrib...
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08/19/2022
Practitioners Perspective on Motivators of Agile in Global Software Development
In modern software development world, experts are trying to provide the ...
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06/26/2022
Predicting the Need for Blood Transfusion in Intensive Care Units with Reinforcement Learning
As critically ill patients frequently develop anemia or coagulopathy, tr...
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05/27/2022
Momentum Stiefel Optimizer, with Applications to Suitably-Orthogonal Attention, and Optimal Transport
The problem of optimization on Stiefel manifold, i.e., minimizing functi...
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03/28/2022
Enhancing Transformer Efficiency for Multivariate Time Series Classification
Most current multivariate time series (MTS) classification algorithms fo...
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03/28/2022
Integrating Physiological Time Series and Clinical Notes with Transformer for Early Prediction of Sepsis
Sepsis is a leading cause of death in the Intensive Care Units (ICU). Ea...
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02/23/2022
Multi-Teacher Knowledge Distillation for Incremental Implicitly-Refined Classification
Incremental learning methods can learn new classes continually by distil...
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02/18/2022
Improving Test Automation Maturity: a Multivocal Literature Review
Mature test automation is key for achieving software quality at speed. I...
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02/07/2022
Test Automation Maturity Improves Product Quality – Quantitative Study of Open Source Projects Using Continuous Integration
The popularity of continuous integration (CI) is increasing as a result ...
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10/07/2021
Large Learning Rate Tames Homogeneity: Convergence and Balancing Effect
Recent empirical advances show that training deep models with large lear...
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10/01/2021
Empirical Quantitative Analysis of COVID-19 Forecasting Models
COVID-19 has been a public health emergency of international concern sin...
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04/28/2021
Twins: Revisiting Spatial Attention Design in Vision Transformers
Very recently, a variety of vision transformer architectures for dense p...
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03/19/2021
Empirical Analysis of Machine Learning Configurations for Prediction of Multiple Organ Failure in Trauma Patients
Multiple organ failure (MOF) is a life-threatening condition. Due to its...
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03/19/2021
BERTSurv: BERT-Based Survival Models for Predicting Outcomes of Trauma Patients
Survival analysis is a technique to predict the times of specific outcom...
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11/30/2020
End-to-End Video Instance Segmentation with Transformers
Video instance segmentation (VIS) is the task that requires simultaneous...
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04/20/2020
Software Test Automation Maturity – A Survey of the State of the Practice
The software industry has seen an increasing interest in test automation...
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04/14/2020
Test Automation Process Improvement in a DevOpsTeam: Experience Report
How to successfully conduct test automation process improvement (TAPI) f...
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04/09/2020
CenterMask: single shot instance segmentation with point representation
In this paper, we propose a single-shot instance segmentation method, wh...
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02/14/2020
Why Do Deep Residual Networks Generalize Better than Deep Feedforward Networks? – A Neural Tangent Kernel Perspective
Deep residual networks (ResNets) have demonstrated better generalization...
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04/11/2019