Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting
- Prasanna Sattigeri
- Soumya Ghosh
- et al.
- 2022
- NeurIPS 2022
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693 results for Trustworthy AI
Calibrated Data-Dependent Constraints with Exact Satisfaction Guarantees
- Songkai Xue
- Yuekai Sun
- et al.
- 2022
- NeurIPS 2022
On the Safety of Interpretable Machine Learning: A Maximum Deviation Approach
- Dennis Wei
- Rahul Nair
- et al.
- 2022
- NeurIPS 2022
Accelerating Certified Robustness Training via Knowledge Transfer
- Pratik Vaishnavi
- Kevin Eykholt
- et al.
- 2022
- NeurIPS 2022
Logical Credal Networks
- Radu Marinescu
- Haifeng Qian
- et al.
- 2022
- NeurIPS 2022
Accelerating Material Design with the Generative Toolkit for Scientific Discovery (GT4SD)
- Matteo Manica
- Joris Cadow
- et al.
- 2022
- ACS Fall 2022
Selective Regression Under Fairness Criteria
- Abhin Shah
- Yuheng Bu
- et al.
- 2022
- ICML 2022
Training a Resilient Q-network against Observational Interference
- Chao-Han Huck Yang
- I. Te Danny Hung
- et al.
- 2022
- AAAI 2022
Fourier Representations for Black-Box Optimization over Categorical Variables
- Hamid Dadkhahi
- Jesus Rios
- et al.
- 2022
- AAAI 2022
Quality Controlled Paraphrase Generation
- Elron Bandel
- Ranit Aharonov
- et al.
- 2022
- ACL 2022