Rubin, Daniel

10 publications

WACV 2023 ATCON: Attention Consistency for Vision Models Ali Mirzazadeh, Florian Dubost, Maxwell Pike, Krish Maniar, Max Zuo, Christopher Lee-Messer, Daniel Rubin

ICLRW 2023 Modeling Multivariate Biosignals with Graph Neural Networks and Structured State Space Siyi Tang, Jared Dunnmon, Liangqiong Qu, Khaled Kamal Saab, Tina Baykaner, Christopher Lee-Messer, Daniel Rubin

NeurIPS 2023 RaLEs: A Benchmark for Radiology Language Evaluations Juanma Zambrano Chaves, Nandita Bhaskhar, Maayane Attias, Jean-Benoit Delbrouck, Daniel Rubin, Andreas Loening, Curtis Langlotz, Akshay Chaudhari

WACV 2023 Semi-Supervised Learning for Sparsely-Labeled Sequential Data: Application to Healthcare Video Processing Florian Dubost, Erin Hong, Siyi Tang, Nandita Bhaskhar, Christopher Lee-Messer, Daniel Rubin

MLHC 2022 Reducing Reliance on Spurious Features in Medical Image Classification with Spatial Specificity Khaled Saab, Sarah Hooper, Mayee Chen, Michael Zhang, Daniel Rubin, Christopher Re

CVPR 2022 Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning Liangqiong Qu, Yuyin Zhou, Paul Pu Liang, Yingda Xia, Feifei Wang, Ehsan Adeli, Li Fei-Fei, Daniel Rubin

ICLR 2022 Self-Supervised Graph Neural Networks for Improved Electroencephalographic Seizure Analysis Siyi Tang, Jared Dunnmon, Khaled Kamal Saab, Xuan Zhang, Qianying Huang, Florian Dubost, Daniel Rubin, Christopher Lee-Messer

ICMLW 2022 The Importance of Background Information for Out of Distribution Generalization Jupinder Parmar, Khaled Kamal Saab, Brian Pogatchnik, Daniel Rubin, Christopher Ré

ICLRW 2019 Improving Sample Complexity with Observational Supervision Khaled Saab, Jared Dunnmon, Alexander Ratner, Daniel Rubin, Christopher Re

NeurIPS 2017 Inferring Generative Model Structure with Static Analysis Paroma Varma, Bryan D He, Payal Bajaj, Nishith Khandwala, Imon Banerjee, Daniel Rubin, Christopher Ré