Khani, Fereshte

1. On the Opportunities and Risks of Foundation Models
   2021/08/16 by Rishi Bommasani, Bommasani, Rishi, Drew A. Hudson +233 · 11 voices · 535 citations
   Computer Science · #Domain Adaptation and Few-Shot Learning #Adversarial Robustness in Machine Learning #Topic Modeling
2. Prompt Engineering a Prompt Engineer
   2023/11/09 by Qinyuan Ye, Maxamed Axmed, Ye, Qinyuan +5 · 2 voices · 15 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.AI #cs.CL #cs.LG
3. MaskTune: Mitigating Spurious Correlations by Forcing to Explore
   2022/09/30 by Taghanaki, Saeid Asgari, Khani, Aliasghar, Khani, Fereshte +4 · 5 citations
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
4. Removing Spurious Features can Hurt Accuracy and Affect Groups Disproportionately
   2020/12/07 by Fereshte Khani, Khani, Fereshte, Percy Liang +1 · 1 citation
   Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Computers and Society (cs.CY) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
5. Targeted Data Generation: Finding and Fixing Model Weaknesses
   2023/05/28 by He, Zexue, Ribeiro, Marco Tulio, Khani, Fereshte · 1 citation
   #Computation and Language (cs.CL) #FOS: Computer and information sciences
6. In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness
   2020/12/08 by Sang Michael Xie, Xie, Sang Michael, Ananya Kumar +9 · 2 citations
   Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Multimodal Machine Learning Applications