Kimberly C. Smith, N. E. Savin and Jacqueline L. Robertson The finite-sample properties of maximum likelihood and minimum chi square estimators in a simple dichotomous logit regression model are ...

Where's Mike? Mike, thank you very much. Doing great, Mike. Representatives Barry Moore, all great friends, Robert Aderholt, Gary Palmer and Dale Strong. Thank you all very much, fellas, appreciate it ...

I think it has to be part of his legacy. And how many people that I talked to in the last week who said, yes, I'm a Christian, but I haven't been to church in three years, three months. I went to ...

Abstract: It is not uncommon that real-world data are distributed with a long tail. For such data, the learning of deep neural networks becomes challenging because it is hard to classify tail classes ...

Abstract: In this paper, we propose a simple yet effective contrastive knowledge distillation framework that achieves sample-wise logit alignment while preserving semantic consistency. Conventional ...

Microsoft Excel is the world's most used spreadsheet tool, but it too can run into errors. Such would be the case of the too many different cell formats errors that many have encountered. Some of its ...

This repo is an official implementation of our IJCV paper: Logit Normalization for Long-Tail Object Detection, which was published in 08 January 2024. Real-world data with skewed distributions poses a ...

This is the source code for our CVPR (2022) paper: Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment based on Pytorch. This version is a demo of how to use GCL loss. The version ...