pair2struct-workshop.github.io - PAIR2Struct Workshop

Example domain paragraphs

In these years, we have seen principles and guidance relating to accountable and ethical use of artificial intelligence (AI) spring up around the globe. Specifically, Data P rivacy, A ccountability, I nterpretability, R obustness, and R easoning have been broadly recognized as fundamental principles of using machine learning (ML) technologies on decision-critical and/or privacy-sensitive applications. On the other hand, in tremendous real-world applications, data itself can be well represented as various st

In this workshop, we will examine the research progress towards accountable and ethical use of AI from diverse research communities, such as the ML community, security & privacy community, and more. Specifically, we will focus on the limitations of existing notions on P rivacy, A ccountability, I nterpretability, R obustness, and R easoning. We aim to bring together researchers from various areas (e.g., ML, security & privacy, computer vision, and healthcare) to facilitate discussions including related chal

All submissions are due by Mar 5 (previously Feb 26) '22 11:59 PM UTC.

Links to pair2struct-workshop.github.io (5)

himalakkaraju.github.io Hima Lakkaraju
muhanzhang.github.io Muhan Zhang's Homepage
adityaasinha28.github.io Aditya Sinha
chirag126.github.io Home - Chirag Agarwal
ameya98.github.io Ameya Daigavane