Summary of Tabdeco: a Comprehensive Contrastive Framework For Decoupled Representations in Tabular Data, by Suiyao Chen et al.
TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Databy Suiyao Chen, Jing Wu,…
Summary of An Oversampling-enhanced Multi-class Imbalanced Classification Framework For Patient Health Status Prediction Using Patient-reported Outcomes, by Yang Yan and Zhong Chen and Cai Xu and Xinglei Shen and Jay Shiao and John Einck and Ronald C Chen and Hao Gao
An Oversampling-enhanced Multi-class Imbalanced Classification Framework for Patient Health Status Prediction Using Patient-reported Outcomesby Yang…
Summary of Llm Vocabulary Compression For Low-compute Environments, by Sreeram Vennam et al.
LLM Vocabulary Compression for Low-Compute Environmentsby Sreeram Vennam, Anish Joishy, Ponnurangam KumaraguruFirst submitted to arxiv…
Summary of Weak to Strong Learning From Aggregate Labels, by Yukti Makhija and Rishi Saket
Weak to Strong Learning from Aggregate Labelsby Yukti Makhija, Rishi SaketFirst submitted to arxiv on:…
Summary of Gradient Boosting Trees and Large Language Models For Tabular Data Few-shot Learning, by Carlos Huertas
Gradient Boosting Trees and Large Language Models for Tabular Data Few-Shot Learningby Carlos HuertasFirst submitted…
Summary of Multi-modal Biometric Authentication: Leveraging Shared Layer Architectures For Enhanced Security, by Vatchala S et al.
Multi-modal biometric authentication: Leveraging shared layer architectures for enhanced securityby Vatchala S, Yogesh C, Yeshwanth…
Summary of Supervised Transfer Learning Framework For Fault Diagnosis in Wind Turbines, by Kenan Weber et al.
Supervised Transfer Learning Framework for Fault Diagnosis in Wind Turbinesby Kenan Weber, Christine PreisachFirst submitted…
Summary of Supervised Score-based Modeling by Gradient Boosting, By Changyuan Zhao et al.
Supervised Score-Based Modeling by Gradient Boostingby Changyuan Zhao, Hongyang Du, Guangyuan Liu, Dusit NiyatoFirst submitted…
Summary of Pcotta: Continual Test-time Adaptation For Multi-task Point Cloud Understanding, by Jincen Jiang et al.
PCoTTA: Continual Test-Time Adaptation for Multi-Task Point Cloud Understandingby Jincen Jiang, Qianyu Zhou, Yuhang Li,…
Summary of Kan-ad: Time Series Anomaly Detection with Kolmogorov-arnold Networks, by Quan Zhou et al.
KAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold Networksby Quan Zhou, Changhua Pei, Fei Sun, Jing…