Summary of Deep Learning-based Residual Useful Lifetime Prediction For Assets with Uncertain Failure Modes, by Yuqi Su et al.
Deep Learning-Based Residual Useful Lifetime Prediction for Assets with Uncertain Failure Modesby Yuqi Su, Xiaolei…
Summary of Scalable Learning Of Segment-level Traffic Congestion Functions, by Shushman Choudhury et al.
Scalable Learning of Segment-Level Traffic Congestion Functionsby Shushman Choudhury, Abdul Rahman Kreidieh, Iveel Tsogsuren, Neha…
Summary of Selective Fine-tuning on Llm-labeled Data May Reduce Reliance on Human Annotation: a Case Study Using Schedule-of-event Table Detection, by Bhawesh Kumar et al.
Selective Fine-tuning on LLM-labeled Data May Reduce Reliance on Human Annotation: A Case Study Using…
Summary of Csa-net: Channel-wise Spatially Autocorrelated Attention Networks, by Nick Nikzad et al.
CSA-Net: Channel-wise Spatially Autocorrelated Attention Networksby Nick Nikzad, Yongsheng Gao, Jun ZhouFirst submitted to arxiv…
Summary of Neural Network Learning Of Black-scholes Equation For Option Pricing, by Daniel De Souza Santos and Tiago Alessandro Espinola Ferreira
Neural Network Learning of Black-Scholes Equation for Option Pricingby Daniel de Souza Santos, Tiago Alessandro…
Summary of Enhancing Suicide Risk Detection on Social Media Through Semi-supervised Deep Label Smoothing, by Matthew Squires et al.
Enhancing Suicide Risk Detection on Social Media through Semi-Supervised Deep Label Smoothingby Matthew Squires, Xiaohui…
Summary of Fusiontransnet For Smart Urban Mobility: Spatiotemporal Traffic Forecasting Through Multimodal Network Integration, by Binwu Wang et al.
FusionTransNet for Smart Urban Mobility: Spatiotemporal Traffic Forecasting Through Multimodal Network Integrationby Binwu Wang, Yan…
Summary of Informed Decision-making Through Advancements in Open Set Recognition and Unknown Sample Detection, by Atefeh Mahdavi et al.
Informed Decision-Making through Advancements in Open Set Recognition and Unknown Sample Detectionby Atefeh Mahdavi, Marco…
Summary of Learned Feature Representations Are Biased by Complexity, Learning Order, Position, and More, By Andrew Kyle Lampinen et al.
Learned feature representations are biased by complexity, learning order, position, and moreby Andrew Kyle Lampinen,…
Summary of Pre-trained Text-to-image Diffusion Models Are Versatile Representation Learners For Control, by Gunshi Gupta et al.
Pre-trained Text-to-Image Diffusion Models Are Versatile Representation Learners for Controlby Gunshi Gupta, Karmesh Yadav, Yarin…