# LLMRec python ./main.py # w/o-u-i python ./main.py --aug_sample_rate=0.0 # w/o-u python ./main.py --user_cat_rate=0 # w/o-u&i python ./main.py --user_cat_rate=0 ...
Abstract: Logit adjustment is an effective long-tailed visual recognition strategy to encourage a significant margin between rare and dominant labels. Existing methods typically employ the globally ...
This repository contains the source material, code, and data for the book, Computational Methods for Economists using Python, by Richard W. Evans (2023). This book is freely available online as an ...
Abstract: Out-of-distribution (OOD) detection is essential when deploying neural networks in the real world. One main challenge is that neural networks often make overconfident predictions on OOD data ...