Overview
Artificial Intelligence Undergraduate Club at Cornell University (CUAI) is an undergraduate student organization that focuses on machine learning research and publication. Each year, club members work closely with club officers to aim to publish research papers at top ML conferences like NeurIPS, ICML, etc. We welcome students from all backgrounds and experience levels who are passionate about AI/ML. The club meets weekly to discuss recent ML papers and advance our own research projects. Our goal is to foster an inclusive, collaborative environment where students can gain hands-on research experience and connect with others with similar interests.
Recruitment
CUAI is recruiting for Fall 2024! We encourage undergraduates from all disciplines to apply, and will also be offering a limited number of coffee chats on a first come, first served basis. Please follow this link here to apply, and this link here to indicate interest in a coffee chat and/or information session.
Note: you may choose to fill out either or both forms, but only submissions to the application form will be considered for admission.
Recent Publications
\(BT^2\): Backward-compatible Training with Basis Transformation
ICCV 2023.
Yifei Zhou*, Zilu Li*, Abhinav Shrivastava, Hengshuang Zhao, Antonio Torralba, Taipeng Tian, Ser-Nam Lim
Equivariant Manifold Flows
NeurIPS 2021.
Isay Katsman*, Aaron Lou*, Derek Lim*, Qingxuan Jiang*, Ser-Nam Lim, Christopher De Sa
Enhancing Adversarial Example Transferability with an Intermediate Level Attack
ICCV 2019.
Qian Huang*, Isay Katsman*, Horace He*, Zeqi Gu*, Serge Belongie, Ser-Nam Lim
Adversarial Example Decomposition
ICML 2019 Workshop, Security and Privacy of Machine Learning.
Horace He, Aaron Lou*, Qingxuan Jiang*, Isay Katsman*, Serge Belongie, Ser-Nam Lim
* indicates equal contribution
People
Each year, a tight nit group of undergraduate students get together to push out innovative machine learning research, spanning multiple disciplines. We maintain a close relation with graduate and faculty advisors who oversee our work. Many of our alumni go on to accomplish great things across many disciplines upon graduating.
- Current Members
- Research Advisors
- Alumni