An algorithm for discovering clusters of different densities or shapes in noisy data sets. - Fereshte Khani; Mohammad Javad Hosseini; Ahmad Ali Abin; Hamid Beigy (SAC, 2013)

Unanimous Prediction for 100% Precision with Application to Learning Semantic Mappings. - Fereshte Khani; Martin C. Rinard; Percy Liang (ACL (1), 2016)

Planning, Inference, and Pragmatics in Sequential Language Games. - Fereshte Khani; Noah D. Goodman; Percy Liang (Trans. Assoc. Comput. Linguistics, 2018)

Maximum Weighted Loss Discrepancy. - Fereshte Khani; Aditi Raghunathan; Percy Liang (CoRR, 2019)

Noise Induces Loss Discrepancy Across Groups for Linear Regression. - Fereshte Khani; Percy Liang (CoRR, 2019)

Feature Noise Induces Loss Discrepancy Across Groups. - Fereshte Khani; Percy Liang (ICML, 2020)

Removing Spurious Features can Hurt Accuracy and Affect Groups Disproportionately. - Fereshte Khani; Percy Liang (FAccT, 2021)

In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness. - Sang Michael Xie; Ananya Kumar; Robbie Jones; Fereshte Khani; Tengyu Ma 001; Percy Liang (ICLR, 2021)

On the Opportunities and Risks of Foundation Models. - Rishi Bommasani; Drew A. Hudson; Ehsan Adeli 001; Russ B. Altman; Simran Arora; Sydney von Arx; Michael S. Bernstein; Jeannette Bohg; Antoine Bosselut; Emma Brunskill; Erik Brynjolfsson; Shyamal Buch; et al. (CoRR, 2021)

Causes, measurement, and mitigation of loss discrepancy. - Fereshte Khani (2021)

MaskTune: Mitigating Spurious Correlations by Forcing to Explore. - Saeid Asgari Taghanaki; Aliasghar Khani; Fereshte Khani; Ali Gholami; Linh Tran; Ali Mahdavi-Amiri; Ghassan Hamarneh (NeurIPS, 2022)

Counterbalancing Teacher: Regularizing Batch Normalized Models for Robustness. - Saeid Asgari Taghanaki; Ali Gholami; Fereshte Khani; Kristy Choi; Linh Tran; Ran Zhang; Aliasghar Khani (CoRR, 2022)

Targeted Data Generation: Finding and Fixing Model Weaknesses. - Zexue He; Marco Túlio Ribeiro; Fereshte Khani (ACL (1), 2023)

Collaborative Alignment of NLP Models. - Fereshte Khani; Marco Túlio Ribeiro (NeurIPS, 2023)

Collaborative Development of NLP models. - Fereshte Khani; Marco Túlio Ribeiro (CoRR, 2023)

Prompt Engineering a Prompt Engineer. - Qinyuan Ye; Maxamed Axmed; Reid Pryzant; Fereshte Khani (CoRR, 2023)

Prompt Engineering a Prompt Engineer. - Qinyuan Ye; Mohamed Ahmed; Reid Pryzant; Fereshte Khani (ACL (Findings), 2024)