Shiori Sagawa - RankMe

22 papers A* 9Journal 12Unranked 1

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models. CoRR Anas Awadalla, Irena Gao, Josh Gardner, Jack Hessel, Yusuf Hanafy, Wanrong Zhu, Kalyani Marathe, Yonatan Bitton, Samir Yitzhak Gadre, Shiori Sagawa, Jenia Jitsev, Simon Kornblith, Pang Wei Koh, Gabriel Ilharco, Mitchell Wortsman, Ludwig Schmidt
2023	A*	`conf`	Out-of-Domain Robustness via Targeted Augmentations. ICML Irena Gao, Shiori Sagawa, Pang Wei Koh, Tatsunori Hashimoto, Percy Liang
2023	J	`jnl`	Out-of-Domain Robustness via Targeted Augmentations. CoRR Irena Gao, Shiori Sagawa, Pang Wei Koh, Tatsunori Hashimoto, Percy Liang
2022	A*	`conf`	Extending the WILDS Benchmark for Unsupervised Adaptation. ICLR Shiori Sagawa, Pang Wei Koh, Tony Lee, Irena Gao, Sang Michael Xie, Kendrick Shen, Ananya Kumar, Weihua Hu, Michihiro Yasunaga, Henrik Marklund, Sara Beery, Etienne David, Ian Stavness, Wei Guo, Jure Leskovec, Kate Saenko, Tatsunori Hashimoto, Sergey Levine, Chelsea Finn, Percy Liang
2022	J	`jnl`	How does a small molecule bind at a cryptic binding site? PLoS Comput. Biol. Yibing Shan, Venkatesh P. Mysore, Abba E. Leffler, Eric T. Kim, Shiori Sagawa, David E. Shaw
2021	J	`jnl`	Accuracy on the Line: On the Strong Correlation Between Out-of-Distribution and In-Distribution Generalization. CoRR John Miller, Rohan Taori, Aditi Raghunathan, Shiori Sagawa, Pang Wei Koh, Vaishaal Shankar, Percy Liang, Yair Carmon, Ludwig Schmidt
2021	A*	`conf`	Accuracy on the Line: on the Strong Correlation Between Out-of-Distribution and In-Distribution Generalization. ICML John Miller, Rohan Taori, Aditi Raghunathan, Shiori Sagawa, Pang Wei Koh, Vaishaal Shankar, Percy Liang, Yair Carmon, Ludwig Schmidt
2021	J	`jnl`	Extending the WILDS Benchmark for Unsupervised Adaptation. CoRR Shiori Sagawa, Pang Wei Koh, Tony Lee, Irena Gao, Sang Michael Xie, Kendrick Shen, Ananya Kumar, Weihua Hu, Michihiro Yasunaga, Henrik Marklund, Sara Beery, Etienne David, Ian Stavness, Wei Guo, Jure Leskovec, Kate Saenko, Tatsunori Hashimoto, Sergey Levine, Chelsea Finn, Percy Liang
2021	A*	`conf`	Just Train Twice: Improving Group Robustness without Training Group Information. ICML Evan Zheran Liu, Behzad Haghgoo, Annie S. Chen, Aditi Raghunathan, Pang Wei Koh, Shiori Sagawa, Percy Liang, Chelsea Finn
2021	J	`jnl`	Just Train Twice: Improving Group Robustness without Training Group Information. CoRR Evan Zheran Liu, Behzad Haghgoo, Annie S. Chen, Aditi Raghunathan, Pang Wei Koh, Shiori Sagawa, Percy Liang, Chelsea Finn
2021	A*	`conf`	Selective Classification Can Magnify Disparities Across Groups. ICLR Erik Jones, Shiori Sagawa, Pang Wei Koh, Ananya Kumar, Percy Liang
2021	A*	`conf`	WILDS: A Benchmark of in-the-Wild Distribution Shifts. ICML Pang Wei Koh, Shiori Sagawa, Henrik Marklund, Sang Michael Xie, Marvin Zhang, Akshay Balsubramani, Weihua Hu, Michihiro Yasunaga, Richard Lanas Phillips, Irena Gao, Tony Lee, Etienne David, Ian Stavness, Wei Guo, Berton Earnshaw, Imran S. Haque, Sara M. Beery, Jure Leskovec, Anshul Kundaje, Emma Pierson, Sergey Levine, Chelsea Finn, Percy Liang
2020	A*	`conf`	An Investigation of Why Overparameterization Exacerbates Spurious Correlations. ICML Shiori Sagawa, Aditi Raghunathan, Pang Wei Koh, Percy Liang
2020	J	`jnl`	An Investigation of Why Overparameterization Exacerbates Spurious Correlations. CoRR Shiori Sagawa, Aditi Raghunathan, Pang Wei Koh, Percy Liang
2020	A*	`conf`	Distributionally Robust Neural Networks. ICLR Shiori Sagawa, Pang Wei Koh, Tatsunori B. Hashimoto, Percy Liang
2020	J	`jnl`	Selective Classification Can Magnify Disparities Across Groups. CoRR Erik Jones, Shiori Sagawa, Pang Wei Koh, Ananya Kumar, Percy Liang
2020	J	`jnl`	WILDS: A Benchmark of in-the-Wild Distribution Shifts. CoRR Pang Wei Koh, Shiori Sagawa, Henrik Marklund, Sang Michael Xie, Marvin Zhang, Akshay Balsubramani, Weihua Hu, Michihiro Yasunaga, Richard Lanas Phillips, Sara Beery, Jure Leskovec, Anshul Kundaje, Emma Pierson, Sergey Levine, Chelsea Finn, Percy Liang
2019	—	`conf`	Distributionally Robust Language Modeling. EMNLP/IJCNLP (1) Yonatan Oren, Shiori Sagawa, Tatsunori B. Hashimoto, Percy Liang
2019	J	`jnl`	Distributionally Robust Language Modeling. CoRR Yonatan Oren, Shiori Sagawa, Tatsunori B. Hashimoto, Percy Liang
2019	J	`jnl`	Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization. CoRR Shiori Sagawa, Pang Wei Koh, Tatsunori B. Hashimoto, Percy Liang
2019	A*	`conf`	Multi-Resolution Weak Supervision for Sequential Data. NeurIPS Paroma Varma, Frederic Sala, Shiori Sagawa, Jason Alan Fries, Daniel Y. Fu, Saelig Khattar, Ashwini Ramamoorthy, Ke Xiao, Kayvon Fatahalian, James Priest, Christopher Ré
2019	J	`jnl`	Multi-Resolution Weak Supervision for Sequential Data. CoRR Frederic Sala, Paroma Varma, Jason A. Fries, Daniel Y. Fu, Shiori Sagawa, Saelig Khattar, Ashwini Ramamoorthy, Ke Xiao, Kayvon Fatahalian, James Priest, Christopher Ré