This year marks the 37th annual Conference on Neural Information Processing Systems (NeurIPS): a workshop and conference hosted by the Neural Information Processing Systems Foundation that celebrates the work being done in artificial intelligence and machine learning and promotes the exchange of research advances. The conference will take place from December 10th through December 16th and will be a Hybrid Conference with a physical component at the New Orleans Ernest N. Morial Convention Center.
This year thirteen of CAIDA's members have been featured with a total of 15 papers accepted. You can see a list of our members’ papers below, and you can find out more about this year’s conference here.
Ali Behrouz, Farnoosh Hashemi, Sadaf Sadeghian, Margo Seltzer
CAT-Walk: Inductive Hypergraph Learning via Set Walks
Gaurav Bhatt, Deepayan Das, Leonid Sigal, Vineeth N Balasubramanian
Mitigating the Effect of Incidental Correlations on Part-based Learning
Alexandre Capone, Sandra Hirche, Geoff Pleiss
Sharp Calibrated Gaussian Processes
Chen Fan, Gaspard Choné-Ducasse, Mark Schmidt, Christos Thrampoulidis
BiSLS/SPS: Auto-tune Step Sizes for Stable Bi-level Optimization
Zhi Chen, Chudi Zhong, Margo Seltzer, Cynthia Rudin
Exploring and Interacting with the Set of Good Sparse Generalized Additive Models
Leonardo Galli, Holger Rauhut, Mark Schmidt
Don't be so Monotone: Relaxing Stochastic Line Search in Over-Parameterized Models
Devon Graham, Kevin Leyton-Brown, Tim Roughgarden
Utilitarian Algorithm Configuration
Eric Hedlin, Gopal Sharma, Shweta Mahajan, Hossam Isack, Abhishek Kar, Andrea Tagliasacchi, Kwang Moo Yi
Unsupervised Semantic Correspondence Using Stable Diffusion
Shengran Hu, Jeff Clune
Thought Cloning: Learning to Think while Acting by Imitating Human Thinking
Frederik Kunstner, Victor Sanches Portella, Mark Schmidt, Nicholas Harvey
Searching for Optimal Per-Coordinate Step-sizes with Multidimensional Backtracking
Chen Liang, Jiahui Yu, Ming-Hsuan Yang, Matthew Brown, Yin Cui, Tuo Zhao, Boqing Gong, Tianyi Zhou
Module-wise Adaptive Distillation for Multimodality Foundation Models
Matthew Niedoba, Jonathan Lavington, Yunpeng Liu, Vasileios Lioutas, Justice Sefas, Xiaoxuan Liang, Dylan Green, Setareh Dabiri, Berend Zwartsenberg, Adam Scibior, Frank Wood
A Diffusion-Model of Joint Interactive Navigation
Andres Potapczynski, Marc Finzi, Geoff Pleiss, Andrew Wilson
Exploiting Compositional Structure for Automatic and Efficient Numerical Linear Algebra
Yi Ren, Samuel Lavoie, Michael Galkin, Danica J. Sutherland, Aaron Courville
Improving Systematic Generalization using Iterated Learning and Simplicial Embeddings
Zuheng Xu, Trevor Campbell
Embracing the chaos: analysis and diagnosis of numerical instability in variational flows
Note: All CAIDA Members have been bolded and a link has been provided to their personal webpages