Check out this course on #XAI by Su-In Lee & Ian Covert. Very practical and nicely curated. Also points to some great papers on the topic. The course covers a broad set of principles and techniques. Slides are available here: buff.ly/3Dasssm #ResponsibleAI

We have an upcoming paper at ICLR 2023 on a new feature attribution method for explaining representations learned by unsupervised models! arxiv.org/abs/2210.00107 This was joint work with the fantastic Hugh Chen Chanwoo Kim and my advisor Su-In Lee. (1/n)

My amazing PhD student Ian Covert will present our work on ViT Shapley at #ICLR2023 soon -- Mon 1 May 11 CAT!

How to perform dynamic feature selection without assumptions about the data distribution or fitting generative models? We develop a learning approach to estimate the conditional mutual information in a discriminative fashion for selecting features. arxiv.org/pdf/2306.03301…

Very excited to introduce locality alignment, an efficient post-training algorithm to improve your ViTs + VLMs, essentially for free🚀 Local align = new self-supervised objective ensuring that encoder captures fine-grained spatial info. No new data needed. Here's the idea 1/3

📣 📣 📣 Our new paper investigates the question of how many images 🖼️ of a concept are required by a diffusion model 🤖 to imitate it. This question is critical for understanding and mitigating the copyright and privacy infringements of these models! arxiv.org/abs/2410.15002