This year marks the 35th 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 intelligences and machine learning and promotes the exchange of research advances. The conference will be held virtually again this year from December 6th through December 14th. This year twelve of CAIDA's members have had papers accepted. You can see a list of our members’ papers below, and you can find out more about this year’s conference here.
Sanae Amani · Christos Thrampoulidis
UCB-based Algorithms for Multinomial Logistic Regression Bandits
Diana Cai · Sameer Deshpande · Michael Hughes · Tamara Broderick · Trevor Campbell · Nick Foti · Barbara Engelhardt · Sinead Williamson
Your Model is Wrong: Robustness and misspecification in probabilistic modeling
Yann Dubois · Benjamin Bloem-Reddy · Karen Ullrich · Chris Maddison
Lossy Compression for Lossless Prediction
Moshe Eliasof · Eldad Haber · Eran Treister
PDE-GCN: Novel Architectures for Graph Neural Networks Motivated by Partial Differential Equations
R David Evans · Tor Aamodt
AC-GC: Lossy Activation Compression with Guaranteed Convergence
Babhru Joshi · Xiaowei Li · Yaniv Plan · Ozgur Yilmaz
PLUGIn: A simple algorithm for inverting generative models with recovery guarantees
Frederic Koehler · Lijia Zhou · Danica Sutherland · Nathan Srebro
Uniform Convergence of Interpolators: Gaussian Width, Norm Bounds and Benign Overfitting
Mingchen Li · Xuechen Zhang · Christos Thrampoulidis · Jiasi Chen · Samet Oymak
AutoBalance: Optimized Loss Functions for Imbalanced Data
Muchen Li · Leonid Sigal
Referring Transformer: A One-step Approach to Multi-task Visual Grounding
Yazhe Li · Roman Pogodin · Danica Sutherland · Arthur Gretton
Self-Supervised Learning with Kernel Dependence Maximization
Feng Liu · Wenkai Xu · Jie Lu · Danica Sutherland
Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data
DOU QI · Marleen de Bruijne · Ben Glocker · Aasa Feragen · Herve Lombaert · Ipek Oguz · Jonas Teuwen · Islem Rekik · Darko Stern · Xiaoxiao Li
Medical Imaging meets NeurIPS
Tanzila Rahman · Mengyu Yang · Leonid Sigal
TriBERT: Human-centric Audio-visual Representation Learning
Ganesh Ramachandra Kini · Orestis Paraskevas · Samet Oymak · Christos Thrampoulidis
Label-Imbalanced and Group-Sensitive Classification under Overparameterization
Shih-Yang Su · Frank Yu · Michael Zollhoefer · Helge Rhodin
A-NeRF: Articulated Neural Radiance Fields for Learning Human Shape, Appearance, and Pose
Weiwei Sun · Andrea Tagliasacchi · Boyang Deng · Sara Sabour · Soroosh Yazdani · Geoffrey Hinton · Kwang Moo Yi
Canonical Capsules: Self-Supervised Capsules in Canonical Pose
Ke Wang · Vidya Muthukumar · Christos Thrampoulidis
Benign Overfitting in Multiclass Classification: All Roads Lead to Interpolation
Ke ZHANG · Carl Yang · Xiaoxiao Li · Lichao Sun · Siu Ming Yiu
Subgraph Federated Learning with Missing Neighbor Generation
Note: All CAIDA Members have been bolded and a link has been provided to their personal webpages