Towards robust and generalizable representations of extracellular data using contrastive learning
- Ankit Vishnubhotla
- Charlotte Loh
- et al.
- 2023
- NeurIPS 2023
Publications
Locally Invariant Explanations: Towards Stable and Unidirectional Explanations through Local Invariant Learning
- 2023
- NeurIPS 2023
RADAR: Robust AI-Text Detection via Adversarial Learning
- Xiaomeng Hu
- Pin-Yu Chen
- et al.
- 2023
- NeurIPS 2023
Uncovering and Quantifying Social Biases in Code Generation
- Yan Liu
- Xiaokang Chen
- et al.
- 2023
- NeurIPS 2023
Transformers over Directed Acyclic Graphs
- Yuankai Luo
- Veronika Thost
- et al.
- 2023
- NeurIPS 2023
TIES-Merging: Resolving Interference When Merging Models
- Prateek Yadav
- Derek Tam
- 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
Near-Optimal Algorithms for Gaussians with Huber Contamination: Mean Estimation and Linear Regression
- Ilias Diakonikolas
- Daniel Kane
- 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
Long Sequence Hopfield Memory
- Hamza Tahir Chaudhry
- Jacob Zavatone-veth
- et al.
- 2023
- NeurIPS 2023