Outlier-Robust Group Inference via Gradient Space Clustering
- Yuchen Zeng
- Kristjan Greenewald
- et al.
- 2023
- NeurIPS 2023
Publications
1827 results in 2023
IDMU: Impact Driven Machine Unlearning
- Shubhi Asthana
- Bing Zhang
- et al.
- 2023
- NeurIPS 2023
Influence Based Approaches to Algorithmic Fairness: A Closer Look
- Soumya Ghosh
- Prasanna Sattigeri
- et al.
- 2023
- NeurIPS 2023
Using Foundation Models to Promote Digitization and Reproducibility in Scientific Experimentation
- Amol Thakkar
- Andrea Giovannini
- et al.
- 2023
- NeurIPS 2023
Estimating Fréchet bounds for validating programmatic weak supervision
- Felipe Maia Polo
- Mikhail Yurochkin
- et al.
- 2023
- NeurIPS 2023
Machine learning derived sub-seasonal to seasonal extremes
- 2023
- NeurIPS 2023
On Representations of Mean-Field Variational Inference
- Soumyadip Ghosh
- Yingdong Lu
- et al.
- 2023
- NeurIPS 2023
Workshop version: How hard are computer vision datasets? Calibrating dataset difficulty to viewing time
- David Mayo
- Jesse Cummings
- et al.
- 2023
- NeurIPS 2023
Unveiling the Secrets of 1H-NMR Spectroscopy: A Novel Approach Utilizing Attention Mechanisms
- Oliver Schilter
- Marvin Alberts
- et al.
- 2023
- NeurIPS 2023
Compositional Foundation Models for Hierarchical Planning
- Anurag Ajay
- Seungwook Han
- et al.
- 2023
- NeurIPS 2023