Collaborative Research: Workshop for Women in Machine Learning

自2006年以来，机器学习中的女性年度研讨会(WiML)聚集了工业界和学术界的女性研究人员、博士后研究员和来自机器学习社区的研究生，以交流研究想法并建立指导和网络关系。为期一天的研讨会对低年级研究生特别有益，为他们提供了一个展示研究成果的支持环境(在许多情况下，是第一次)，并使他们能够结识机器学习领域的同行和更资深的研究人员。研讨会提供的网络机会也帮助高年级研究生在毕业后找到了工作。智力优势：这个研讨会将促进机器学习知识并促进机器学习社区内的合作。作为受邀的演讲者，顶尖大学和研究实验室的知名研究人员将向研讨会参与者传授来自不同机器学习领域的尖端想法。学生们将展示他们自己的研究成果，并从资深研究人员和他们的同龄人那里获得宝贵的反馈。通过使处于机器学习职业生涯各个阶段的女性能够交流研究想法并建立新的关系，我们预计将建立新的联系和研究合作，从而推动该领域的最先进水平。广泛影响：该研讨会将为女性研究生、博士后研究员、初级和高级教师以及行业和政府研究科学家提供一个论坛，交流研究想法并建立网络和指导关系。本科生，特别是那些对攻读研究生院或行业机器学习职位感兴趣的人，也欢迎参加。将来自不同职业阶段的女性聚集在一起，让知名研究人员有机会充当导师，并使年轻女性能够找到在机器学习领域工作的女性榜样。研讨会还将使更广泛的机器学习社区受益：首先，WiML网站列出了所有以前的研讨会主持人，为寻找受邀女发言者的组织提供了有用的资源。其次，与一个主要的机器学习会议共处一地，提高了女性研究人员在更广泛的机器学习社区中的可见度。第三，向讲习班与会者提供的旅费也为他们前往合办会议提供了便利，这对一些与会者来说是不可能的。最后，所有研讨会材料(幻灯片、摘要等)将在讲习班网站上提供，以确保广泛传播。

Since 2006, the annual workshop for Women in Machine Learning (WiML) has brought together femaleresearchers in industry and academia, postdoctoral fellows, and graduate students from the machinelearning community to exchange research ideas and build mentoring and networking relationships. Theone-day workshop has been especially beneficial for junior graduate students, giving them a supportiveenvironment in which to present their research (in many cases, for the first time) and enabling them tomeet peers and more senior researchers in the field of machine learning. The networking opportunitiesprovided by the workshop have also helped senior graduate students find jobs following graduation.Intellectual Merit: This workshop will advance machine learning knowledge and foster collaborationwithin the machine learning community. As invited speakers, established researchers at top universitiesand research labs will teach workshop participants about cutting-edge ideas from diverse areas ofmachine learning. Students will present their own research and receive valuable feedback from bothsenior researchers and their peers. By enabling women at all stages of their careers in machine learning toexchange research ideas and form new relationships, we expect that new connections and researchcollaborations will be established, thereby advancing the state-of-the-art of the field.Broader Impact: This workshop will provide a forum for female graduate students, postdoctoral fellows,junior and senior faculty, and industry and government research scientists to exchange research ideas andestablish networking and mentoring relationships. Undergraduates, particularly those who are interestedin pursuing graduate school or industry positions in machine learning, are also welcome to attend.Bringing together women from different stages of their careers gives established researchers theopportunity to act as mentors, and enables junior women to find female role models working in the fieldof machine learning. The workshop will also benefit the wider machine learning community: Firstly, theWiML website, which lists all previous workshop presenters, serves as a useful resource for organizationslooking for female invited speakers. Secondly, co-locating with a major machine learning conferenceenhances the visibility of female researchers among the wider machine learning community. Thirdly,travel funding provided to workshop participants also facilitates their travel to the co-located conference,which for some participants would otherwise not be possible. Finally, all workshop materials (slides,abstracts, etc.) will be made available on the workshop website in order to ensure broad dissemination.