Publications

113 results at NeurIPS 2023

Towards a Statistical Theory of Learning to Learn In-context with Transformers
- - Youssef Mroueh
- 2023
- NeurIPS 2023
International Workshop on Federated Learning in the Age of Foundation Models
- - Jinghui Chen
  - Lixin Fan
  - et al.
- 2023
- NeurIPS 2023
Leveraging Locality and Robustness to Achieve Massively Scalable Gaussian Process Regression
- - Robert Alison
  - Anthony Stephenson
  - et al.
- 2023
- NeurIPS 2023
DiffuseBot: Breeding Soft Robots With Physics-Augmented Generative Diffusion Models
- - Tsun-hsuan Wang
  - Juntian Zheng
  - et al.
- 2023
- NeurIPS 2023
Towards Label Position Bias in Graph Neural Networks
- - Haoyu Han
  - Xiaorui Liu
  - et al.
- 2023
- NeurIPS 2023
What a MESS: Multi-Domain Evaluation of Zero-Shot Semantic Segmentation
- - Benedikt Blumenstiel
  - Johannes Jakubik
  - et al.
- 2023
- NeurIPS 2023
Cookie Consent Has Disparate Impact on Estimation Accuracy
- - Erik Miehling
  - Rahul Nair
  - et al.
- 2023
- NeurIPS 2023
Non-Stationary Bandits with Auto-Regressive Temporal Dependency
- - Qinyi Chen
  - Negin Golrezaei
  - et al.
- 2023
- NeurIPS 2023
Realistic Synthetic Financial Transactions for Anti-Money Laundering Models
- - Erik Altman
  - Jovan Blanusa
  - et al.
- 2023
- NeurIPS 2023
On the role of entanglement and statistics in learning
- - Srinivasan Arunachalam
  - Vojtech Havlicek
  - et al.
- 2023
- NeurIPS 2023