Summary of Pac-bayesian Generalization Bounds For Knowledge Graph Representation Learning, by Jaejun Lee et al.
PAC-Bayesian Generalization Bounds for Knowledge Graph Representation Learningby Jaejun Lee, Minsung Hwang, Joyce Jiyoung WhangFirst…
PAC-Bayesian Generalization Bounds for Knowledge Graph Representation Learningby Jaejun Lee, Minsung Hwang, Joyce Jiyoung WhangFirst…
Improving Deep Learning Model Calibration for Cardiac Applications using Deterministic Uncertainty Networks and Uncertainty-aware Trainingby…
Selective Fine-tuning on LLM-labeled Data May Reduce Reliance on Human Annotation: A Case Study Using…
A Novel Pseudo Nearest Neighbor Classification Method Using Local Harmonic Mean Distanceby Junzhuo Chen, Zhixin…
PUMA: margin-based data pruningby Javier Maroto, Pascal FrossardFirst submitted to arxiv on: 10 May 2024CategoriesMain:…
Learning from String Sequencesby David Lindsay, Sian LindsayFirst submitted to arxiv on: 10 May 2024CategoriesMain:…
Driving down Poisson error can offset classification error in clinical tasksby Charles B. Delahunt, Courosh…
Informed Decision-Making through Advancements in Open Set Recognition and Unknown Sample Detectionby Atefeh Mahdavi, Marco…
Self-Supervised Learning of Time Series Representation via Diffusion Process and Imputation-Interpolation-Forecasting Maskby Zineb Senane, Lele…
A Universal Growth Rate for Learning with Smooth Surrogate Lossesby Anqi Mao, Mehryar Mohri, Yutao…