Robuta

Recent studies have shown that pre-trained vision-language models can effectively adapt to diverse downstream tasks through parameter-efficient prompt tuning....

Multimodal Reward Models (MM-RMs) are crucial for aligning Large Language Models (LLMs) with human preferences, particularly as LLMs increasingly interact with...

In this paper we analyze the behavior of the frequency shift caused by spurious spectral component in the microwave spectrum against variation of the excitation

Neural networks trained on real-world data often exhibit biases while simultaneously being vulnerable to privacy attacks aimed at extracting sensitive...

Spurious Business, all you need for taking over now!

It is by now an age old adage that "correlation doesn't equal causation," but the internet just loves stories that make spurious correlations. Just...

A spur cancelling, electromechanical filter includes a first resonator having a first resonant frequency and one or more first spurious responses, and it also...

Benchmarks for out-of-distribution (OOD) generalization often reveal a strong positive correlation between in-distribution (ID) and OOD accuracy across models,...

Deep learning models can perform well in complex medical imaging classification tasks, even when basing their conclusions on spurious correlations (i.e....

Zhao Wang, Aron Culotta. Findings of the Association for Computational Linguistics: EMNLP 2020. 2020.

Have you seen sockets.leetcode.com?

Tyler Vigen is collecting examples of data that correlate closely but are (probably) otherwise unrelated. Remember kids, correlation != causation.