Amirata Ghorbani

37 papers A* 7A 2C 2Journal 22Unranked 4

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Author Correction: Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials. npj Digit. Medicine Andre Esteva, Jean Feng, Douwe van der Wal, Shih-Cheng Huang, Jeffry P. Simko, Sandy Devries, Emmalyn Chen, Edward M. Schaeffer, Todd M. Morgan, Yilun Sun, Amirata Ghorbani, Nikhil Naik, Dhruv Nathawani, Richard Socher, Jeff M. Michalski, Mack Roach, Thomas M. Pisansky, Jedidiah M. Monson, Farah Naz, James Wallace, Michelle J. Ferguson, Jean-Paul Bahary, James Zou, Matthew P. Lungren, Serena Yeung, Ashley E. Ross, Michael J. Kucharczyk, Luis Souhami, Leslie Ballas, Christopher A. Peters, Sandy Liu, Alexander G. Balogh, Pamela D. Randolph-Jackson, David L. Schwartz, Michael R. Girvigian, Naoyuki G. Saito, Adam Raben, Rachel A. Rabinovitch, Khalil Katato, Howard M. Sandler, Phuoc T. Tran, Daniel E. Spratt, Stephanie Pugh, Felix Y. Feng, Osama Mohamad
2023	A*	`conf`	DataPerf: Benchmarks for Data-Centric AI Development. NeurIPS Mark Mazumder, Colby R. Banbury, Xiaozhe Yao, Bojan Karlas, William Gaviria Rojas, Sudnya Frederick Diamos, Greg Diamos, Lynn He, Alicia Parrish, Hannah Rose Kirk, Jessica Quaye, Charvi Rastogi, Douwe Kiela, David Jurado, David Kanter, Rafael Mosquera, Will Cukierski, Juan Ciro, Lora Aroyo, Bilge Acun, Lingjiao Chen, Mehul Raje, Max Bartolo, Evan Sabri Eyuboglu, Amirata Ghorbani, Emmett D. Goodman, Addison Howard, Oana Inel, Tariq Kane, Christine R. Kirkpatrick, D. Sculley, Tzu-Sheng Kuo, Jonas W. Mueller, Tristan Thrush, Joaquin Vanschoren, Margaret Warren, Adina Williams, Serena Yeung, Newsha Ardalani, Praveen K. Paritosh, Ce Zhang, James Y. Zou, Carole-Jean Wu, Cody Coleman, Andrew Y. Ng, Peter Mattson, Vijay Janapa Reddi
2022	J	`jnl`	Beyond Importance Scores: Interpreting Tabular ML by Visualizing Feature Semantics. Inf. Amirata Ghorbani, Dina Berenbaum, Maor Ivgi, Yuval Dafna, James Y. Zou
2022	—	`conf`	Data Shapley Valuation for Efficient Batch Active Learning. IEEECONF Amirata Ghorbani, James Zou, Andre Esteva
2022	J	`jnl`	DataPerf: Benchmarks for Data-Centric AI Development. CoRR Mark Mazumder, Colby R. Banbury, Xiaozhe Yao, Bojan Karlas, William Gaviria Rojas, Sudnya Frederick Diamos, Greg Diamos, Lynn He, Douwe Kiela, David Jurado, David Kanter, Rafael Mosquera, Juan Ciro, Lora Aroyo, Bilge Acun, Sabri Eyuboglu, Amirata Ghorbani, Emmett D. Goodman, Tariq Kane, Christine R. Kirkpatrick, Tzu-Sheng Kuo, Jonas Mueller, Tristan Thrush, Joaquin Vanschoren, Margaret Warren, Adina Williams, Serena Yeung, Newsha Ardalani, Praveen K. Paritosh, Ce Zhang, James Zou, Carole-Jean Wu, Cody Coleman, Andrew Y. Ng, Peter Mattson, Vijay Janapa Reddi
2022	—	`conf`	Grading of Prostate Whole-slide Images Using Weak Self-supervised Learning. IEEECONF Amirata Ghorbani, Andre Esteva, James Zou
2022	J	`jnl`	Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials. npj Digit. Medicine Andre Esteva, Jean Feng, Douwe van der Wal, Shih-Cheng Huang, Jeffry P. Simko, Sandy Devries, Emmalyn Chen, Edward M. Schaeffer, Todd M. Morgan, Yilun Sun, Amirata Ghorbani, Nikhil Naik, Dhruv Nathawani, Richard Socher, Jeff M. Michalski, Mack Roach, Thomas M. Pisansky, Jedidiah M. Monson, Farah Naz, James Wallace, Michelle J. Ferguson, Jean-Paul Bahary, James Zou, Matthew P. Lungren, Serena Yeung, Ashley E. Ross, Michael J. Kucharczyk, Luis Souhami, Leslie Ballas, Christopher A. Peters, Sandy Liu, Alexander G. Balogh, Pamela D. Randolph-Jackson, David L. Schwartz, Michael R. Girvigian, Naoyuki G. Saito, Adam Raben, Rachel A. Rabinovitch, Khalil Katato, Howard M. Sandler, Phuoc T. Tran, Daniel E. Spratt, Stephanie Pugh, Felix Y. Feng, Osama Mohamad
2021	J	`jnl`	Accurate Prediction of Free Solvation Energy of Organic Molecules via Graph Attention Network and Message Passing Neural Network from Pairwise Atomistic Interactions. CoRR Ramin Ansari, Amirata Ghorbani
2021	J	`jnl`	Beyond Importance Scores: Interpreting Tabular ML by Visualizing Feature Semantics. CoRR Amirata Ghorbani, Dina Berenbaum, Maor Ivgi, Yuval Dafna, James Zou
2021	J	`jnl`	Data Shapley Valuation for Efficient Batch Active Learning. CoRR Amirata Ghorbani, James Zou, Andre Esteva
2021	A*	`conf`	How Does Mixup Help With Robustness and Generalization? ICLR Linjun Zhang, Zhun Deng, Kenji Kawaguchi, Amirata Ghorbani, James Zou
2021	A	`conf`	Improving Adversarial Robustness via Unlabeled Out-of-Domain Data. AISTATS Zhun Deng, Linjun Zhang, Amirata Ghorbani, James Zou
2021	C	`conf`	Who's Responsible? Jointly Quantifying the Contribution of the Learning Algorithm and Data. AIES Gal Yona, Amirata Ghorbani, James Zou
2020	A*	`conf`	A Distributional Framework For Data Valuation. ICML Amirata Ghorbani, Michael P. Kim, James Zou
2020	J	`jnl`	A Distributional Framework for Data Valuation. CoRR Amirata Ghorbani, Michael P. Kim, James Y. Zou
2020	J	`jnl`	Data Valuation for Medical Imaging Using Shapley Value: Application on A Large-scale Chest X-ray Dataset. CoRR Siyi Tang, Amirata Ghorbani, Rikiya Yamashita, Sameer Rehman, Jared A. Dunnmon, James Y. Zou, Daniel L. Rubin
2020	J	`jnl`	Deep learning interpretation of echocardiograms. npj Digit. Medicine Amirata Ghorbani, David Ouyang, Abubakar Abid, Bryan He, Jonathan H. Chen, Robert A. Harrington, David H. Liang, Euan A. Ashley, James Y. Zou
2020	J	`jnl`	How Does Mixup Help With Robustness and Generalization? CoRR Linjun Zhang, Zhun Deng, Kenji Kawaguchi, Amirata Ghorbani, James Y. Zou
2020	J	`jnl`	Improving Adversarial Robustness via Unlabeled Out-of-Domain Data. CoRR Zhun Deng, Linjun Zhang, Amirata Ghorbani, James Y. Zou
2020	A*	`conf`	Neuron Shapley: Discovering the Responsible Neurons. NeurIPS Amirata Ghorbani, James Y. Zou
2020	J	`jnl`	Neuron Shapley: Discovering the Responsible Neurons. CoRR Amirata Ghorbani, James Y. Zou
2020	J	`jnl`	Video-based AI for beat-to-beat assessment of cardiac function. Nat. David Ouyang, Bryan He, Amirata Ghorbani, Neal Yuan, Joseph Ebinger, Curtis P. Langlotz, Paul A. Heidenreich, Robert A. Harrington, David H. Liang, Euan A. Ashley, James Y. Zou
2019	J	`jnl`	Automating Interpretability: Discovering and Testing Visual Concepts Learned by Neural Networks. CoRR Amirata Ghorbani, James Wexler, Been Kim
2019	A*	`conf`	Data Shapley: Equitable Valuation of Data for Machine Learning. ICML Amirata Ghorbani, James Y. Zou
2019	J	`jnl`	Data Shapley: Equitable Valuation of Data for Machine Learning. CoRR Amirata Ghorbani, James Y. Zou
2019	—	`conf`	DermGAN: Synthetic Generation of Clinical Skin Images with Pathology. ML4H@NeurIPS Amirata Ghorbani, Vivek Natarajan, David Coz, Yuan Liu
2019	J	`jnl`	DermGAN: Synthetic Generation of Clinical Skin Images with Pathology. CoRR Amirata Ghorbani, Vivek Natarajan, David Coz, Yuan Liu
2019	A*	`conf`	Interpretation of Neural Networks Is Fragile. AAAI Amirata Ghorbani, Abubakar Abid, James Y. Zou
2019	A	`conf`	Knockoffs for the Mass: New Feature Importance Statistics with False Discovery Guarantees. AISTATS Jaime Roquero Gimenez, Amirata Ghorbani, James Y. Zou
2019	C	`conf`	Multiaccuracy: Black-Box Post-Processing for Fairness in Classification. AIES Michael P. Kim, Amirata Ghorbani, James Y. Zou
2019	A*	`conf`	Towards Automatic Concept-based Explanations. NeurIPS Amirata Ghorbani, James Wexler, James Y. Zou, Been Kim
2019	J	`jnl`	Who's responsible? Jointly quantifying the contribution of the learning algorithm and training data. CoRR Gal Yona, Amirata Ghorbani, James Y. Zou
2018	—	`conf`	Embedding for Informative Missingness: Deep Learning With Incomplete Data. Allerton Amirata Ghorbani, James Y. Zou
2018	J	`jnl`	Knockoffs for the mass: new feature importance statistics with false discovery guarantees. CoRR Jaime Roquero Gimenez, Amirata Ghorbani, James Y. Zou
2018	J	`jnl`	Multiaccuracy: Black-Box Post-Processing for Fairness in Classification. CoRR Michael P. Kim, Amirata Ghorbani, James Y. Zou
2017	J	`jnl`	Blind Iterative Nonlinear Distortion Compensation Based on Thresholding. IEEE Trans. Circuits Syst. II Express Briefs Masoumeh Azghani, Amirata Ghorbani, Farokh Marvasti
2017	J	`jnl`	Interpretation of Neural Networks is Fragile. CoRR Amirata Ghorbani, Abubakar Abid, James Y. Zou