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Disambiguation of "Khani, Fereshte"

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Targeted Data Generation: Finding and Fixing Model Weaknesses.

, , and . ACL (1), page 8506-8520. Association for Computational Linguistics, (2023)

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To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Arash Khani

Fereshte Taherian

Alireza Khani

Shahedeh Khani

Khanittha Moosophin

 

Other publications of authors with the same name

Causes, measurement, and mitigation of loss discrepancy.. Stanford University, USA, (2021)Removing Spurious Features can Hurt Accuracy and Affect Groups Disproportionately., and . FAccT, page 196-205. ACM, (2021)Counterbalancing Teacher: Regularizing Batch Normalized Models for Robustness., , , , , , and . CoRR, (2022)Targeted Data Generation: Finding and Fixing Model Weaknesses., , and . ACL (1), page 8506-8520. Association for Computational Linguistics, (2023)An algorithm for discovering clusters of different densities or shapes in noisy data sets., , , and . SAC, page 144-149. ACM, (2013)MaskTune: Mitigating Spurious Correlations by Forcing to Explore., , , , , , and . NeurIPS, (2022)In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness., , , , , and . ICLR, OpenReview.net, (2021)Unanimous Prediction for 100% Precision with Application to Learning Semantic Mappings., , and . ACL (1), The Association for Computer Linguistics, (2016)In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness., , , , , and . CoRR, (2020)Prompt Engineering a Prompt Engineer., , , and . CoRR, (2023)