Selective Regression Under Fairness Criteria
- Abhin Shah
- Yuheng Bu
- et al.
- 2022
- ICML 2022
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78 results for Prasanna Sattigeri
Fair Selective Classification via Sufficiency
- Joshua Lee
- Yuheng Bu
- et al.
- 2021
- ICML 2021
StarNet: towards weakly supervised few-shot detection and explainable few-shot classification
- Leonid Karlinsky
- Joseph Shtok
- et al.
- 2021
- AAAI 2021
Building calibrated deep models via uncertainty matching with auxiliary interval predictors
- Jayaraman J. Thiagarajan
- Bindya Venkatesh
- et al.
- 2020
- AAAI 2020
Learning new tricks from old dogs: Multi-source transfer learning from pre-trained networks
- Joshua Ka Wing Lee
- Prasanna Sattigeri
- et al.
- 2019
- NeurIPS 2019
Co-regularized alignment for unsupervised domain adaptation
- Abhishek Kumar
- Kahini Wadhawan
- et al.
- 2018
- NeurIPS 2018
Variational inference of disentangled latent concepts from unlabeled observations
- Abhishek Kumar
- Prasanna Sattigeri
- et al.
- 2018
- ICLR 2018
Semi-supervised learning with GANs: Manifold invariance with improved inference
- Abhishek Kumar
- Prasanna Sattigeri
- et al.
- 2017
- NeurIPS 2017
Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models
- Sourya Basu
- Prasanna Sattigeri
- et al.
- 2023
- AAAI 2023
Post-hoc Uncertainty Learning using a Dirichlet Meta-Model
- Maohao Shen
- Yuheng Bu
- et al.
- 2023
- AAAI 2023