Add-Remove-or-Relabel: Practitioner-Friendly Bias Mitigation via Influential Fairness
- Brianna Richardson
- Prasanna Sattigeri
- et al.
- 2023
- FAccT 2023
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84 results for Prasanna Sattigeri
Reliable Gradient-free and Likelihood-free Prompt Tuning
- Maohao Shen
- Soumya Ghosh
- et al.
- 2023
- EACL 2023
Fourier Neural Operators for Arbitrary Resolution Climate Data Downscaling
- Qidong Yang
- Paula Harder
- et al.
- 2023
- ICLR 2023
Physics-Constrained Deep Learning for Downscaling
- Paula Harder
- Venkatesh Ramesh
- et al.
- 2023
- EGU 2023
Who Should Predict? Exact Algorithms For Learning to Defer to Humans
- Hussein Mozannar
- Hunter Lang
- et al.
- 2023
- AISTATS 2023
Post-hoc Uncertainty Learning using a Dirichlet Meta-Model
- Maohao Shen
- Yuheng Bu
- et al.
- 2023
- AAAI 2023
Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models
- Sourya Basu
- Prasanna Sattigeri
- et al.
- 2023
- AAAI 2023
Generating physically-consistent high-resolution climate data with hard-constrained neural networks
- Paula Harder
- Qidong Yang
- et al.
- 2022
- AGU Fall 2022
Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting
- Prasanna Sattigeri
- Soumya Ghosh
- et al.
- 2022
- NeurIPS 2022
Physics-Constrained Deep Learning for Climate Downscaling
- Paula Harder
- Qidong Yang
- et al.
- 2022
- NeurIPS 2022