Fereshte Khani

23 papers A* 4Misc 1Journal 13Unranked 4
YearRankTypeTitle / Venue / Authors
2024 — conf
Prompt Engineering a Prompt Engineer.
ACL (Findings)
Qinyuan Ye, Mohamed Ahmed, Reid Pryzant, Fereshte Khani
2023 A* conf
Collaborative Alignment of NLP Models.
NeurIPS
Fereshte Khani, Marco Túlio Ribeiro
2023 J jnl
Collaborative Development of NLP models.
CoRR
Fereshte Khani, Marco Túlio Ribeiro
2023 J jnl
Prompt Engineering a Prompt Engineer.
CoRR
Qinyuan Ye, Maxamed Axmed, Reid Pryzant, Fereshte Khani
2023 — conf
Targeted Data Generation: Finding and Fixing Model Weaknesses.
ACL (1)
Zexue He, Marco Túlio Ribeiro, Fereshte Khani
2023 J jnl
Targeted Data Generation: Finding and Fixing Model Weaknesses.
CoRR
Zexue He, Marco Túlio Ribeiro, Fereshte Khani
2022 J jnl
Counterbalancing Teacher: Regularizing Batch Normalized Models for Robustness.
CoRR
Saeid Asgari Taghanaki, Ali Gholami, Fereshte Khani, Kristy Choi, Linh Tran, Ran Zhang, Aliasghar Khani
2022 A* conf
MaskTune: Mitigating Spurious Correlations by Forcing to Explore.
NeurIPS
Saeid Asgari Taghanaki, Aliasghar Khani, Fereshte Khani, Ali Gholami, Linh Tran, Ali Mahdavi-Amiri, Ghassan Hamarneh
2022 J jnl
MaskTune: Mitigating Spurious Correlations by Forcing to Explore.
CoRR
Saeid Asgari Taghanaki, Aliasghar Khani, Fereshte Khani, Ali Gholami, Linh Tran, Ali Mahdavi-Amiri, Ghassan Hamarneh
2021 — —
Causes, measurement, and mitigation of loss discrepancy.
Fereshte Khani
2021 A* conf
In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness.
ICLR
Sang Michael Xie, Ananya Kumar, Robbie Jones, Fereshte Khani, Tengyu Ma, Percy Liang
2021 J jnl
On the Opportunities and Risks of Foundation Models.
CoRR
Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, Russ B. 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 E. 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.
2021 — conf
Removing Spurious Features can Hurt Accuracy and Affect Groups Disproportionately.
FAccT
Fereshte Khani, Percy Liang
2020 A* conf
Feature Noise Induces Loss Discrepancy Across Groups.
ICML
Fereshte Khani, Percy Liang
2020 J jnl
In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness.
CoRR
Sang Michael Xie, Ananya Kumar, Robbie Jones, Fereshte Khani, Tengyu Ma, Percy Liang
2020 J jnl
Removing Spurious Features can Hurt Accuracy and Affect Groups Disproportionately.
CoRR
Fereshte Khani, Percy Liang
2019 J jnl
Maximum Weighted Loss Discrepancy.
CoRR
Fereshte Khani, Aditi Raghunathan, Percy Liang
2019 J jnl
Noise Induces Loss Discrepancy Across Groups for Linear Regression.
CoRR
Fereshte Khani, Percy Liang
2018 J jnl
Planning, Inference and Pragmatics in Sequential Language Games.
CoRR
Fereshte Khani, Noah D. Goodman, Percy Liang
2018 J jnl
Planning, Inference, and Pragmatics in Sequential Language Games.
Trans. Assoc. Comput. Linguistics
Fereshte Khani, Noah D. Goodman, Percy Liang
2016 — conf
Unanimous Prediction for 100% Precision with Application to Learning Semantic Mappings.
ACL (1)
Fereshte Khani, Martin C. Rinard, Percy Liang
2016 J jnl
Unanimous Prediction for 100% Precision with Application to Learning Semantic Mappings.
CoRR
Fereshte Khani, Martin C. Rinard, Percy Liang
2013 Misc conf
An algorithm for discovering clusters of different densities or shapes in noisy data sets.
SAC
Fereshte Khani, Mohammad Javad Hosseini, Ahmad Ali Abin, Hamid Beigy