Efficient DNN Search and Design in Vision
Recent achievements by Deep Neural Networks (DNN) have brought a lot of opportunities and created possibilities for many real applications, e.g., image recognition, object detection and image generation. Despite many exciting news about breakthrough in…
CHI 2021: Making remote and hybrid meetings work in the new future of work
Over the course of the COVID-19 pandemic, some truths about the nature of work have been underscored: it is uniquely complex, quickly shifting, and increasingly technology-mediated. Teaching, medicine, mental health, and other professions—previously thought to…
Failures of imagination: Discovering and measuring harms in language technologies
Auditing natural language processing (NLP) systems for computational harms remains an elusive goal. Doing so, however, is critical as there is a proliferation of language technologies (and applications) that are enabled by increasingly powerful natural…
GLGE
General Language Generation Evaluation (GLGE) benchmark is a new multi-task benchmark for evaluating the generalization capabilities of NLG across eight language generation tasks.
Failures of imagination: Discovering and measuring harms in language technologies webinar
Join Microsoft researchers Su Lin Blodgett and Alexandra Olteanu, from the FATE Group at Microsoft Research Montréal, to examine pitfalls in some state-of-the-art approaches to measuring computational harms in language technologies. For such measurements of…