Cornell University Artificial Intelligence (CUAI)
Undergraduate ML research
Cornell University Artificial Intelligence (CUAI) focuses on undergraduate
machine learning research and publication.
Our primary efforts are described below:
The group will work closely with the club's officers to aim for a publication at a top ML conference (NeurIPS, ICML, etc.). People that have experience will be a good fit, as we will hit the ground running. We encourage people from a diverse background.
Apply here. See examples of our publications here.
We will meet weekly to discuss papers (and research in general) in the field of machine learning. The goal is to familiarize people with state-of-the-art research. This is meant for students with some experience, as we will be closely following recent literature.
Research Group Applications
Update: Application for Fall 2022 is now closed!
Riemannian Residual Neural Networks Isay Katsman*, Eric M. Chen*, Sidhanth Holalkere*, Anna Asch*, Aaron Lou, Ser-Nam Lim Christopher De Sa
GAPX: Generalized Autoregressive Paraphrase Identification
Yifei Zhou, Renyu Li, Hayden Housen, Ser-Nam Lim
Equivariant Manifold Flows
Isay Katsman*, Aaron Lou*, Derek Lim*, Qingxuan Jiang*, Ser-Nam Lim, Christopher De
Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods
Derek Lim*, Felix Hohne*, Xiuyu Li*, Sijia Linda Huang, Vaishnavi Gupta, Omkar Bhalerao, Ser-Nam Lim
Combining Label Propagation and Simple Models Out-performs Graph Neural Networks
Qian Huang*, Horace He*, Abhay Singh, Ser-Nam Lim, Austin Benson
Neural Manifold Ordinary Differential Equations
Aaron Lou*, Derek Lim*, Isay Katsman*, Leo Huang*, Qingxuan Jiang, Ser-Nam
Christopher De Sa
Better Set Representations For Relational Reasoning
Qian Huang*, Horace He*, Abhay Singh, Yan Zhang, Ser-Nam Lim, Austin Benson
Differentiating through the Fréchet Mean
Aaron Lou*, Isay Katsman*, Qingxuan Jiang*, Serge Belongie, Ser-Nam Lim, Christopher
Enhancing Adversarial Example Transferability with an Intermediate Level Attack
Qian Huang*, Isay Katsman*, Horace He*, Zeqi Gu*, Serge Belongie, Ser-Nam Lim
Adversarial Example Decomposition
Horace He, Aaron Lou*, Qingxuan Jiang*, Isay Katsman*, Serge Belongie, Ser-Nam Lim
ICML 2019 Workshop, Security and Privacy of Machine Learning
*indicates equal contribution