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NeurIPS 2021 Affinity Events

Soomin Aga Lee · Meera Desai · Nezihe Merve Gürel · Boyi Li · Linh Tran · Akiko Eriguchi · Jieyu Zhao · Salomey Osei · Sirisha Rambhatla · Geeticka Chauhan · Nwamaka (Amaka) Okafor · Mariya Vasileva

WiML’s purpose is to enhance the experience of women in machine learning. Our flagship event is the annual Women in Machine Learning (WiML) Workshop, typically co-located with NeurIPS. We also organize an “un-workshop” at ICML, as well as small events at other machine learning conferences such as AISTATS, ICLR, etc.

Our mission is to enhance the experience of women in machine learning, and thereby

Increase the number of women in machine learning
Help women in machine learning succeed professionally
Increase the impact of women in machine learning in the community

Toward this goal, we create opportunities for women to engage in substantive technical and professional conversations in a positive, supportive environment (e.g. annual workshop, small events, mentoring program). We also work to increase awareness and appreciation of the achievements of women in machine learning (e.g. directory and profiles of women in machine learning). Our programs help women build their technical confidence and their voice, and our publicity efforts help ensure that women in machine learning and their achievements are known in the community.

Claas Voelcker · Arjun Subramonian · Vishakha Agrawal · Luca Soldaini · Pan Xu · Pranav A · William Agnew · Juan Pajaro Velasquez · Yanan Long · Sharvani Jha · Ashwin S · Mary Anne Smart · Patrick Feeney · Ruchira Ray

Queer in AI’s demographic survey reveals that most queer scientists in our community do not feel completely welcome in conferences and their work environments, with the main reasons being a lack of queer community and role models. Over the past years, Queer in AI has worked towards these goals, yet we have observed that the voices of marginalized queer communities - especially transgender, non-binary folks and queer BIPOC folks - have been neglected. The purpose of this workshop is to highlight issues that these communities face by featuring talks and panel discussions on the inclusion of neuro-diverse people in our communities, the intersection of queer and animal rights, as well as worker rights issues around the world.

The main topics of the workshop will revolve around:
- the intersection of AI, queer identity and neurodiversity
- queer identity and labor rights and organization
- AI and animal rights
- queer identity and caste-based discrimination

Additionally, at Queer in AI’s socials at NeurIPS 2021, we will focus on creating a safe and inclusive casual networking and socializing space for LGBTQIA+ individuals involved with AI. There will also be additional social events, stay tuned for more details coming soon. Together, these components …

Soomin Aga Lee · Meera Desai · Nezihe Merve Gürel · Boyi Li · Linh Tran · Akiko Eriguchi · Jieyu Zhao · Salomey Osei · Sirisha Rambhatla · Geeticka Chauhan · Nwamaka (Amaka) Okafor · Mariya Vasileva

WiML’s purpose is to enhance the experience of women in machine learning. Our flagship event is the annual Women in Machine Learning (WiML) Workshop, typically co-located with NeurIPS. We also organize an “un-workshop” at ICML, as well as small events at other machine learning conferences such as AISTATS, ICLR, etc.

Our mission is to enhance the experience of women in machine learning, and thereby

Increase the number of women in machine learning
Help women in machine learning succeed professionally
Increase the impact of women in machine learning in the community

Toward this goal, we create opportunities for women to engage in substantive technical and professional conversations in a positive, supportive environment (e.g. annual workshop, small events, mentoring program). We also work to increase awareness and appreciation of the achievements of women in machine learning (e.g. directory and profiles of women in machine learning). Our programs help women build their technical confidence and their voice, and our publicity efforts help ensure that women in machine learning and their achievements are known in the community.

Claas Voelcker · Arjun Subramonian · Vishakha Agrawal · Luca Soldaini · Pan Xu · Pranav A · William Agnew · Juan Pajaro Velasquez · Yanan Long · Sharvani Jha · Ashwin S · Mary Anne Smart · Patrick Feeney · Ruchira Ray

Queer in AI’s demographic survey reveals that most queer scientists in our community do not feel completely welcome in conferences and their work environments, with the main reasons being a lack of queer community and role models. Over the past years, Queer in AI has worked towards these goals, yet we have observed that the voices of marginalized queer communities - especially transgender, non-binary folks and queer BIPOC folks - have been neglected. The purpose of this workshop is to highlight issues that these communities face by featuring talks and panel discussions on the inclusion of neuro-diverse people in our communities, the intersection of queer and animal rights, as well as worker rights issues around the world.

The main topics of the workshop will revolve around:
- the intersection of AI, queer identity and neurodiversity
- queer identity and labor rights and organization
- AI and animal rights
- queer identity and caste-based discrimination

Additionally, at Queer in AI’s socials at NeurIPS 2021, we will focus on creating a safe and inclusive casual networking and socializing space for LGBTQIA+ individuals involved with AI. There will also be additional social events, stay tuned for more details coming soon. Together, these components …

Soomin Aga Lee · Meera Desai · Nezihe Merve Gürel · Boyi Li · Linh Tran · Akiko Eriguchi · Jieyu Zhao · Salomey Osei · Sirisha Rambhatla · Geeticka Chauhan · Nwamaka (Amaka) Okafor · Mariya Vasileva

WiML’s purpose is to enhance the experience of women in machine learning. Our flagship event is the annual Women in Machine Learning (WiML) Workshop, typically co-located with NeurIPS. We also organize an “un-workshop” at ICML, as well as small events at other machine learning conferences such as AISTATS, ICLR, etc.

Our mission is to enhance the experience of women in machine learning, and thereby

Increase the number of women in machine learning
Help women in machine learning succeed professionally
Increase the impact of women in machine learning in the community

Toward this goal, we create opportunities for women to engage in substantive technical and professional conversations in a positive, supportive environment (e.g. annual workshop, small events, mentoring program). We also work to increase awareness and appreciation of the achievements of women in machine learning (e.g. directory and profiles of women in machine learning). Our programs help women build their technical confidence and their voice, and our publicity efforts help ensure that women in machine learning and their achievements are known in the community.

Irene Nandutu · Hameed Abdul-Rashid · Foutse Yuehgoh · Mírian Silva · Salomey Osei · Victor Silva

Black in AI exists to create a space for sharing ideas, foster collaborations, and discuss initiatives to increase the presence of Black individuals in the field of AI. To this end, we hold an annual technical workshop series, run mentoring programs, and maintain various fora for fostering partnerships and collaborations with and among black AI researchers. The 5th Black in AI workshop and 2nd virtual Black in AI workshop will consist of selected oral presentations, invited keynote speakers, a joint poster session with other affinity groups, sponsorship sessions, and startups showcases. Our workshop exists to amplify the voices of black researchers at NeurIPS.

Join the GatherTown link to visit the Joint Poster Session.

Haozhe Sun · Wenzhuo Liu · Joseph Pedersen

Is this your first time to a top conference? Have you ever wanted your own work recognized by this huge and active community? Do you encounter difficulties in polishing your ideas, experiments, paper writing, etc? Then, this session is exactly for you!

This year, we are organizing the New in ML workshop, co-locating with NeurIPS 2021. We are targeting anyone who has not published a paper at the NeurIPS main conference yet. We invited top researchers to review your work and share with you their experience. The best papers will get oral presentations!

Our biggest goal is to help you publish papers at next year’s NeurIPS conference, and generally provide you with the guidance you need to contribute to ML research fully and effectively!

Haozhe Sun · Wenzhuo Liu · Joseph Pedersen

Is this your first time to a top conference? Have you ever wanted your own work recognized by this huge and active community? Do you encounter difficulties in polishing your ideas, experiments, paper writing, etc? Then, this session is exactly for you!

This year, we are organizing the New in ML workshop, co-locating with NeurIPS 2021. We are targeting anyone who has not published a paper at the NeurIPS main conference yet. We invited top researchers to review your work and share with you their experience. The best papers will get oral presentations!

Our biggest goal is to help you publish papers at next year’s NeurIPS conference, and generally provide you with the guidance you need to contribute to ML research fully and effectively!

Soomin Aga Lee · Meera Desai · Nezihe Merve Gürel · Boyi Li · Linh Tran · Akiko Eriguchi · Jieyu Zhao · Salomey Osei · Sirisha Rambhatla · Geeticka Chauhan · Nwamaka (Amaka) Okafor · Mariya Vasileva

WiML’s purpose is to enhance the experience of women in machine learning. Our flagship event is the annual Women in Machine Learning (WiML) Workshop, typically co-located with NeurIPS. We also organize an “un-workshop” at ICML, as well as small events at other machine learning conferences such as AISTATS, ICLR, etc.

Our mission is to enhance the experience of women in machine learning, and thereby

Increase the number of women in machine learning
Help women in machine learning succeed professionally
Increase the impact of women in machine learning in the community

Toward this goal, we create opportunities for women to engage in substantive technical and professional conversations in a positive, supportive environment (e.g. annual workshop, small events, mentoring program). We also work to increase awareness and appreciation of the achievements of women in machine learning (e.g. directory and profiles of women in machine learning). Our programs help women build their technical confidence and their voice, and our publicity efforts help ensure that women in machine learning and their achievements are known in the community.

Maria Luisa Santiago · Andres Munoz Medina · Laura Montoya · Karla Caballero Barajas · Isabel Metzger · Jose Gallego-Posada · Juan Banda · Gabriela Vega · Amanda Duarte · Patrick Feeney · Lourdes Ramírez Cerna · Walter M Mayor · Omar U. Florez · Rosina Weber · Rocio Zorrilla

The workshop is a one-day event with invited speakers, oral presentations, and posters. The event brings together faculty, graduate students, research scientists, and engineers for an opportunity to connect and exchange ideas. There will be a panel discussion and a mentoring session to discuss current research trends and career choices in artificial intelligence and machine learning. While all presenters will identify primarily as latinx, all are invited to attend.

Mason Grimshaw · Michael Running Wolf · Patrick Feeney

With increasing interest in working with Indigenous Communities on data-related projects, Indigenous in AI brings a discussion around data ethics and Indigenous data sovereignty. Hear from Indigenous AI practitioners as they share their ideas and work towards a more equitable data future for Indigenous peoples.