Fereshte Khani

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 21

Top Topics

Nonlinear Regression

Forward Chaining

Auxiliary Information

Top Venues

Publications

Qinyuan Ye, Mohamed Ahmed, Reid Pryzant, Fereshte Khani
Prompt Engineering a Prompt Engineer. ACL (Findings) (2024)
Zexue He, Marco Túlio Ribeiro, Fereshte Khani
Targeted Data Generation: Finding and Fixing Model Weaknesses. CoRR (2023)
Zexue He, Marco Túlio Ribeiro, Fereshte Khani
Targeted Data Generation: Finding and Fixing Model Weaknesses. ACL (1) (2023)
Fereshte Khani, Marco Túlio Ribeiro
Collaborative Development of NLP models. CoRR (2023)
Fereshte Khani, Marco Túlio Ribeiro
Collaborative Alignment of NLP Models. NeurIPS (2023)
Qinyuan Ye, Maxamed Axmed, Reid Pryzant, Fereshte Khani
Prompt Engineering a Prompt Engineer. CoRR (2023)
Saeid Asgari Taghanaki, Aliasghar Khani, Fereshte Khani, Ali Gholami, Linh Tran, Ali Mahdavi-Amiri, Ghassan Hamarneh
MaskTune: Mitigating Spurious Correlations by Forcing to Explore. NeurIPS (2022)
Saeid Asgari Taghanaki, Ali Gholami, Fereshte Khani, Kristy Choi, Linh Tran, Ran Zhang, Aliasghar Khani
Counterbalancing Teacher: Regularizing Batch Normalized Models for Robustness. CoRR (2022)
Saeid Asgari Taghanaki, Aliasghar Khani, Fereshte Khani, Ali Gholami, Linh Tran, Ali Mahdavi-Amiri, Ghassan Hamarneh
MaskTune: Mitigating Spurious Correlations by Forcing to Explore. CoRR (2022)
Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, Russ Altman, Simran Arora, Sydney von Arx, Michael S. Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, Erik Brynjolfsson, Shyamal Buch, Dallas Card, Rodrigo Castellon, Niladri S. Chatterji, Annie S. Chen, Kathleen Creel, Jared Quincy Davis, Dorottya Demszky, Chris Donahue, Moussa Doumbouya, Esin Durmus, Stefano Ermon, John Etchemendy, Kawin Ethayarajh, Li Fei-Fei, Chelsea Finn, Trevor Gale, Lauren Gillespie, Karan Goel, Noah D. Goodman, Shelby Grossman, Neel Guha, Tatsunori Hashimoto, Peter Henderson, John Hewitt, Daniel E. Ho, Jenny Hong, Kyle Hsu, Jing Huang, Thomas Icard, Saahil Jain, Dan Jurafsky, Pratyusha Kalluri, Siddharth Karamcheti, Geoff Keeling, Fereshte Khani, Omar Khattab, Pang Wei Koh, Mark S. Krass, Ranjay Krishna, Rohith Kuditipudi, et al.
On the Opportunities and Risks of Foundation Models. CoRR (2021)
Fereshte Khani, Percy Liang
Removing Spurious Features can Hurt Accuracy and Affect Groups Disproportionately. FAccT (2021)
Sang Michael Xie, Ananya Kumar, Robbie Jones, Fereshte Khani, Tengyu Ma, Percy Liang
In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness. ICLR (2021)
Fereshte Khani, Percy Liang
Feature Noise Induces Loss Discrepancy Across Groups. ICML (2020)
Sang Michael Xie, Ananya Kumar, Robbie Jones, Fereshte Khani, Tengyu Ma, Percy Liang
In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness. CoRR (2020)
Fereshte Khani, Percy Liang
Removing Spurious Features can Hurt Accuracy and Affect Groups Disproportionately. CoRR (2020)
Fereshte Khani, Aditi Raghunathan, Percy Liang
Maximum Weighted Loss Discrepancy. CoRR (2019)
Fereshte Khani, Percy Liang
Noise Induces Loss Discrepancy Across Groups for Linear Regression. CoRR (2019)
Fereshte Khani, Noah D. Goodman, Percy Liang
Planning, Inference and Pragmatics in Sequential Language Games. CoRR (2018)
Fereshte Khani, Noah D. Goodman, Percy Liang
Planning, Inference, and Pragmatics in Sequential Language Games. Trans. Assoc. Comput. Linguistics 6 (2018)
Fereshte Khani, Martin Rinard, Percy Liang
Unanimous Prediction for 100% Precision with Application to Learning Semantic Mappings. CoRR (2016)
Fereshte Khani, Martin C. Rinard, Percy Liang
Unanimous Prediction for 100% Precision with Application to Learning Semantic Mappings. ACL (1) (2016)
Fereshte Khani, Mohammad Javad Hosseini, Ahmad Ali Abin, Hamid Beigy
An algorithm for discovering clusters of different densities or shapes in noisy data sets. SAC (2013)