Analyzing Generalization of Neural Networks through Loss Path Kernels
- Yilan Chen
- Wei Huang
- et al.
- 2023
- NeurIPS 2023
Conference paper
Publications
1615 results for Machine Learning
Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision
- Zhiqing Sun
- Yikang Shen
- et al.
- 2023
- NeurIPS 2023
Conference paperModel Sparsity Can Simplify Machine Unlearning
- Jinghan Jia
- Jiancheng Liu
- et al.
- 2023
- NeurIPS 2023
Conference paperPairwise Causality Guided Transformers for Event Sequences
- Xiao Shou
- Debarun Bhattacharjya
- et al.
- 2023
- NeurIPS 2023
Conference paperA Spectral Algorithm for List-Decodable Covariance Estimation in Relative Frobenius Norm
- Ilias Diakonikolas
- Daniel Kane
- et al.
- 2023
- NeurIPS 2023
Conference paperTransformers over Directed Acyclic Graphs
- Yuankai Luo
- Veronika Thost
- et al.
- 2023
- NeurIPS 2023
Conference paperNear-Optimal Algorithms for Gaussians with Huber Contamination: Mean Estimation and Linear Regression
- Ilias Diakonikolas
- Daniel Kane
- et al.
- 2023
- NeurIPS 2023
Conference paperMIMONets: Multiple-Input-Multiple-Output Neural Networks Exploiting Computation in Superposition
- Nicolas Menet
- Michael Hersche
- et al.
- 2023
- NeurIPS 2023
Conference paperOn the Convergence to a Global Solution of Shuffling-Type Gradient Algorithms
- Lam Nguyen
- Trang H. Tran
- 2023
- NeurIPS 2023
Conference paperAlphaFold Distillation for Protein Design
- Igor Melnyk
- Aurelie Lozano
- et al.
- 2023
- NeurIPS 2023
Workshop paper