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Mark Yatskar is a prominent researcher in the fields of Natural Language Processing and Computer Vision, focusing on areas such as fairness in AI and Machine Learning. He has contributed significantly to the understanding of gender bias in AI, particularly through his studies on reducing gender bias amplification using corpus-level constraints. Yatskar's work includes developing effective methods for contextualized word embeddings and parsing sequences in natural language processing. He has been involved in various projects that merge advancements in vision and language processing, including the development of baselines for vision-language tasks. Yatskar has published numerous papers showcasing his findings in conferences and journals, making him a recognized figure in his field. He is affiliated with the University of Pennsylvania, where he continues to explore new methodologies and applications in his areas of expertise.
University of Pennsylvania • Philadelphia, PA
Leading research and teaching in areas of Natural Language Processing and Computer Vision.
Wharton Doctoral programs cover fields like Finance, Marketing, Management, and Operations, Information and Decisions.