Sagawa, Shiori

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. Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization
   2019/11/20 by Shiori Sagawa, Sagawa, Shiori, Pang Wei Koh +5 · 131 citations
   Computer Science · #Domain Adaptation and Few-Shot Learning #Machine Learning and ELM #Stochastic Gradient Optimization Techniques
3. WILDS: A Benchmark of in-the-Wild Distribution Shifts
   2020/12/14 by Pang Wei Koh, Koh, Pang Wei, Shiori Sagawa +43 · 94 citations
   Computer Science · Medicine · #AI in cancer detection #COVID-19 diagnosis using AI #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
4. Just Train Twice: Improving Group Robustness without Training Group\n Information
   2021/07/19 by Evan Liu, Behzad Haghgoo, Liu, Evan Zheran +15 · 39 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Computers and Society (cs.CY) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification #Reinforcement Learning in Robotics
5. OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models
   2023/08/02 by Anas Awadalla, Irena Gao, Awadalla, Anas +29 · 49 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Natural Language Processing Techniques
6. An Investigation of Why Overparameterization Exacerbates Spurious Correlations
   2020/05/09 by Shiori Sagawa, Sagawa, Shiori, Aditi Raghunathan +5 · 17 citations
   Computer Science · #Reinforcement Learning in Robotics #Machine Learning and Data Classification #Evolutionary Algorithms and Applications
7. Accuracy on the Line: On the Strong Correlation Between\n Out-of-Distribution and In-Distribution Generalization
   2021/07/09 by J. J. Miller, Miller, John, Rohan Taori +15 · 15 citations
   Computer Science · Medicine · #Advanced Neural Network Applications #COVID-19 diagnosis using AI #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
8. Distributionally Robust Language Modeling
   2019/09/04 by Yonatan Oren, Oren, Yonatan, Shiori Sagawa +5 · 10 citations
   Computer Science · #Topic Modeling #Natural Language Processing Techniques #Speech Recognition and Synthesis
9. Extending the WILDS Benchmark for Unsupervised Adaptation
   2021/12/09 by Sagawa, Shiori, Koh, Pang Wei, Lee, Tony +17 · 6 citations
   #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
10. Out-of-Domain Robustness via Targeted Augmentations
    2023/02/23 by Irena Gao, Gao, Irena, Shiori Sagawa +7 · 4 citations
    Computer Science · Engineering · #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Fault Detection and Control Systems #Machine Learning (cs.LG)
11. Selective Classification Can Magnify Disparities Across Groups
    2020/10/27 by Jones, Erik, Sagawa, Shiori, Koh, Pang Wei +2 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)