Machine learning is one of the fastest-growing areas of computer science research. Search engines, text mining, social media analytics, face recognition, DNA sequence analysis, speech and handwriting recognition, and healthcare analytics are just some of the applications in which machine learning is routinely used.

Despite the wide reach of machine learning and the variety of theories and applications the field 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 Workshop is the flagship event of Women in Machine Learning. This technical workshop gives female faculty, research scientists, and graduate students in the machine learning community an opportunity to meet, network, and exchange ideas, participate in career-focused panel discussions with senior women in industry and academia, and learn from each other. Underrepresented minorities and undergraduates interested in machine learning research are encouraged to attend. We welcome all genders; however, any formal presentations, i.e., talks and posters, are given by women. We strive to create an atmosphere where participants feel comfortable to engage in technical and career-related conversations.

Now in its 19th year, the WiML 2024 workshop is co-located in-person with NeurIPS 2024 in Vancouver, BC, Canada.

Besides this annual workshop, Women in Machine Learning also organizes events such as lunch at ICML and AAAI conferences, maintains a public directory of women active in ML, profiles of the women in ML research, and maintains a list of resources for women working in ML.