Machine learning is one of the fastest growing areas of computer science research. In spite of the wide reach of machine learning and the variety of theory and applications it covers, the percentage of female researchers is lower than in many other areas of computer science. Most women working in machine learning rarely get the chance to interact with other female researchers, making it easy to feel isolated and hard to find role models.
The annual Women in Machine Learning (WiML) Workshop is our flagship event. This day-long technical workshop gives female faculty, research scientists, and graduate students in the machine learning community an opportunity to meet, exchange ideas and learn from each other. Underrepresented minorities and undergraduates interested in machine learning research are encouraged to attend. A History of WiML poster was created in 2015 to celebrate the 10th workshop. WiML Workshop’s growth from 2006 to 2018 was described in the AI Index 2018 Annual Report.
