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
Uncovering and Quantifying Social Biases in Code Generation
- - Yan Liu
  - Xiaokang Chen
  - et al.
- 2023
- NeurIPS 2023
Near-Optimal Algorithms for Gaussians with Huber Contamination: Mean Estimation and Linear Regression
- - Ilias Diakonikolas
  - Daniel Kane
  - et al.
- 2023
- NeurIPS 2023
TIES-Merging: Resolving Interference When Merging Models
- - Prateek Yadav
  - Derek Tam
  - et al.
- 2023
- NeurIPS 2023
Transformers over Directed Acyclic Graphs
- - Yuankai Luo
  - Veronika Thost
  - et al.
- 2023
- NeurIPS 2023
On the Convergence to a Global Solution of Shuffling-Type Gradient Algorithms
- - Lam Nguyen
  - Trang H. Tran
- 2023
- NeurIPS 2023
RADAR: Robust AI-Text Detection via Adversarial Learning
- - Xiaomeng Hu
  - Pin-Yu Chen
  - et al.
- 2023
- NeurIPS 2023
Locally Invariant Explanations: Towards Stable and Unidirectional Explanations through Local Invariant Learning
- - Amit Dhurandhar
  - Karthikeyan Natesan Ramamurthy
  - et al.
- 2023
- NeurIPS 2023
A Spectral Algorithm for List-Decodable Covariance Estimation in Relative Frobenius Norm
- - Ilias Diakonikolas
  - Daniel Kane
  - et al.
- 2023
- NeurIPS 2023