An Investigation of Representation and Allocation Harms in Contrastive Learning
- Subha Maity
- Mayank Agarwal
- et al.
- 2024
- ICLR 2024
Publications
Date
Featured collections
Popular topics
56 results for Mikhail Yurochkin
Fusing Models with Complementary Expertise
- Hongyi Wang
- Felipe Maia Polo
- et al.
- 2024
- ICLR 2024
Uncertainty Quantification via Stable Distribution Propagation
- Felix Petersen
- Aashwin Mishra
- et al.
- 2024
- ICLR 2024
Aligners: Decoupling LLMs and Alignment
- Lilian Ngweta
- Mayank Agarwal
- et al.
- 2024
- ICLR 2024
tinyBenchmarks: evaluating LLMs with fewer examples
- Felipe Maia Polo
- Lucas Weber
- et al.
- 2024
- ICLR 2024
Asymmetry in Low-Rank Adapters of Foundation Models
- Jiacheng Zhu
- Kristjan Greenewald
- et al.
- 2024
- ICLR 2024
Risk Assessment and Statistical Significance in the Age of Foundation Models
- Apoorva Nitsure
- Youssef Mroueh
- et al.
- 2023
- NeurIPS 2023
Large Language Model Routing with Benchmark Datasets
- Tal Shnitzer
- Anthony Ou
- et al.
- 2023
- NeurIPS 2023
Estimating Fréchet bounds for validating programmatic weak supervision
- Felipe Maia Polo
- Mikhail Yurochkin
- et al.
- 2023
- NeurIPS 2023
Fusing Models with Complementary Expertise
- Hongyi Wang
- Felipe Maia Polo
- et al.
- 2023
- NeurIPS 2023