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Pang Wei Koh
Selective Classification Can Magnify Disparities Across Groups

Oct 27, 2020
Erik Jones, Shiori Sagawa, Pang Wei Koh, Ananya Kumar, Percy Liang


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Concept Bottleneck Models

Jul 09, 2020
Pang Wei Koh, Thao Nguyen, Yew Siang Tang, Stephen Mussmann, Emma Pierson, Been Kim, Percy Liang

* ICML 2020 
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An Investigation of Why Overparameterization Exacerbates Spurious Correlations

May 09, 2020
Shiori Sagawa, Aditi Raghunathan, Pang Wei Koh, Percy Liang


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ExpBERT: Representation Engineering with Natural Language Explanations

May 05, 2020
Shikhar Murty, Pang Wei Koh, Percy Liang

* ACL 2020 
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Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization

Nov 20, 2019
Shiori Sagawa, Pang Wei Koh, Tatsunori B. Hashimoto, Percy Liang


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Temporal FiLM: Capturing Long-Range Sequence Dependencies with Feature-Wise Modulations

Sep 14, 2019
Sawyer Birnbaum, Volodymyr Kuleshov, Zayd Enam, Pang Wei Koh, Stefano Ermon

* Accepted to NeurIPS 2019 
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On the Accuracy of Influence Functions for Measuring Group Effects

May 30, 2019
Pang Wei Koh, Kai-Siang Ang, Hubert H. K. Teo, Percy Liang


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Stronger Data Poisoning Attacks Break Data Sanitization Defenses

Nov 02, 2018
Pang Wei Koh, Jacob Steinhardt, Percy Liang


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Inferring Multi-Dimensional Rates of Aging from Cross-Sectional Data

Jul 12, 2018
Emma Pierson, Pang Wei Koh, Tatsunori Hashimoto, Daphne Koller, Jure Leskovec, Nicholas Eriksson, Percy Liang

* Accepted at Joint ICML and IJCAI Workshop on Computational Biology, 2018 
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Certified Defenses for Data Poisoning Attacks

Nov 24, 2017
Jacob Steinhardt, Pang Wei Koh, Percy Liang

* Appeared at NIPS 2017 
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Understanding Black-box Predictions via Influence Functions

Jul 10, 2017
Pang Wei Koh, Percy Liang

* International Conference on Machine Learning, 2017 
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