{"list":"other","total":59,"rows":[{"id":"1608.06993","title":"Densely Connected Convolutional Networks","created":"2016-08-25","cited_by_count":6720},{"id":"1703.03400","title":"Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks","created":"2017-03-09","cited_by_count":4897},{"id":"1412.3555","title":"Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling","created":"2014-12-11","cited_by_count":2367},{"id":"1610.02413","title":"Equality of Opportunity in Supervised Learning","created":"2016-10-07","cited_by_count":2007},{"id":"1907.02893","title":"Invariant Risk Minimization","created":"2019-07-05","cited_by_count":1854},{"id":"2006.16241","title":"The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization","created":"2020-06-29","cited_by_count":1850},{"id":"1901.07031","title":"CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison","created":"2019-01-21","cited_by_count":1423},{"id":"2012.07421","title":"WILDS: A Benchmark of in-the-Wild Distribution Shifts","created":"2020-12-14","cited_by_count":1375},{"id":"1911.08731","title":"Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization","created":"2019-11-20","cited_by_count":1247},{"id":"1607.01719","title":"Deep CORAL: Correlation Alignment for Deep Domain Adaptation","created":"2016-07-06","cited_by_count":1200},{"id":"2007.01434","title":"In Search of Lost Domain Generalization","created":"2020-07-02","cited_by_count":1054},{"id":"1710.03077","title":"Deeper, Broader and Artier Domain Generalization","created":"2017-10-09","cited_by_count":986},{"id":"1705.02315","title":"ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases","created":"2017-05-05","cited_by_count":972},{"id":"1710.03463","title":"Learning to Generalize: Meta-Learning for Domain Generalization","created":"2017-10-10","cited_by_count":763},{"id":"2003.00688","title":"Out-of-Distribution Generalization via Risk Extrapolation (REx)","created":"2020-03-02","cited_by_count":742},{"id":"1901.07042","title":"MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs","created":"2019-01-21","cited_by_count":597},{"id":"1501.01332","title":"Causal inference using invariant prediction: identification and confidence intervals","created":"2015-01-06","cited_by_count":536},{"id":"1903.06864","title":"Domain Generalization by Solving Jigsaw Puzzles","created":"2019-03-16","cited_by_count":450},{"id":"1910.13580","title":"Domain Generalization via Model-Agnostic Learning of Semantic Features","created":"2019-10-29","cited_by_count":407},{"id":"1807.00431","title":"Confounding variables can degrade generalization performance of radiological deep learning models","created":"2018-07-02","cited_by_count":379},{"id":"1902.07208","title":"Transfusion: Understanding Transfer Learning for Medical Imaging","created":"2019-02-14","cited_by_count":368},{"id":"1901.07441","title":"PadChest: A large chest x-ray image dataset with multi-label annotated reports","created":"2019-01-22","cited_by_count":309},{"id":"1801.07860","title":"Scalable and accurate deep learning for electronic health records","created":"2018-01-24","cited_by_count":280},{"id":"2010.05761","title":"The Risks of Invariant Risk Minimization","created":"2020-10-12","cited_by_count":262},{"id":"1909.12475","title":"Hidden Stratification Causes Clinically Meaningful Failures in Machine Learning for Medical Imaging","created":"2019-09-27","cited_by_count":216},{"id":"1912.08142","title":"Causality matters in medical imaging","created":"2019-12-17","cited_by_count":193},{"id":"2002.04692","title":"Invariant Risk Minimization Games","created":"2020-02-11","cited_by_count":188},{"id":"2003.00827","title":"CheXclusion: Fairness gaps in deep chest X-ray classifiers","created":"2020-02-14","cited_by_count":153},{"id":"1706.08576","title":"Invariant Causal Prediction for Nonlinear Models","created":"2017-06-26","cited_by_count":140},{"id":"2003.12815","title":"Efficient Domain Generalization via Common-Specific Low-Rank Decomposition","created":"2020-03-28","cited_by_count":134},{"id":"1801.06229","title":"Anchor regression: heterogeneous data meets causality","created":"2018-01-18","cited_by_count":118},{"id":"2101.01134","title":"Does Invariant Risk Minimization Capture Invariance?","created":"2021-01-04","cited_by_count":116},{"id":"1805.09458","title":"Invariant Representations without Adversarial Training","created":"2018-05-24","cited_by_count":112},{"id":"1811.06042","title":"Unsupervised domain adaptation for medical imaging segmentation with self-ensembling","created":"2018-11-14","cited_by_count":94},{"id":"1808.08166","title":"An Empirical Study of Rich Subgroup Fairness for Machine Learning","created":"2018-08-24","cited_by_count":81},{"id":"2002.02497","title":"On the limits of cross-domain generalization in automated X-ray prediction","created":"2020-02-06","cited_by_count":62},{"id":"2010.16412","title":"Empirical or Invariant Risk Minimization? A Sample Complexity Perspective","created":"2020-10-30","cited_by_count":62},{"id":"2007.07222","title":"Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis","created":"2020-07-05","cited_by_count":60},{"id":"1909.01940","title":"Can we trust deep learning models diagnosis? The impact of domain shift in chest radiograph classification","created":"2019-09-03","cited_by_count":57},{"id":"1807.00028","title":"Training Well-Generalizing Classifiers for Fairness Metrics and Other Data-Dependent Constraints","created":"2018-06-29","cited_by_count":53},{"id":"2010.11882","title":"Learning Invariances in Neural Networks","created":"2020-10-22","cited_by_count":52},{"id":"2012.04104","title":"Removing Spurious Features can Hurt Accuracy and Affect Groups Disproportionately","created":"2020-12-07","cited_by_count":52},{"id":"1905.10607","title":"Average Individual Fairness: Algorithms, Generalization and Experiments","created":"2019-05-25","cited_by_count":46},{"id":"2007.10306","title":"An Empirical Characterization of Fair Machine Learning For Clinical Risk Prediction","created":"2020-07-20","cited_by_count":45},{"id":"1908.00690","title":"Feature Robustness in Non-stationary Health Records: Caveats to Deployable Model Performance in Common Clinical Machine Learning Tasks","created":"2019-08-02","cited_by_count":39},{"id":"1911.00515","title":"The reliability of a deep learning model in clinical out-of-distribution MRI data: a multicohort study","created":"2019-11-01","cited_by_count":38},{"id":"1910.00964","title":"Benchmarking machine learning models on multi-centre eICU critical care dataset","created":"2019-10-02","cited_by_count":35},{"id":"2004.05007","title":"An Empirical Study of Invariant Risk Minimization","created":"2020-04-10","cited_by_count":35},{"id":"2011.06485","title":"Fairness and Robustness in Invariant Learning: A Case Study in Toxicity Classification","created":"2020-11-12","cited_by_count":32},{"id":"2006.11478","title":"Representation via Representations: Domain Generalization via Adversarially Learned Invariant Representations","created":"2020-06-20","cited_by_count":26},{"id":"1909.11575","title":"A Closer Look at Domain Shift for Deep Learning in Histopathology","created":"2019-09-25","cited_by_count":25},{"id":"2002.08991","title":"Comparing Different Deep Learning Architectures for Classification of Chest Radiographs","created":"2020-02-20","cited_by_count":24},{"id":"2006.07544","title":"Risk Variance Penalization","created":"2020-06-13","cited_by_count":21},{"id":"1807.03434","title":"Unsupervised Domain Adaptation for Automatic Estimation of Cardiothoracic Ratio","created":"2018-07-10","cited_by_count":16},{"id":"1906.03347","title":"When Unseen Domain Generalization is Unnecessary? Rethinking Data Augmentation","created":"2019-06-07","cited_by_count":16},{"id":"2008.04152","title":"Learning Invariant Feature Representation to Improve Generalization across Chest X-ray Datasets","created":"2020-08-04","cited_by_count":6},{"id":"2006.07119","title":"Learning Diverse Representations for Fast Adaptation to Distribution Shift","created":"2020-06-12","cited_by_count":2},{"id":"1901.06618","title":"Modeling the Biological Pathology Continuum with HSIC-regularized Wasserstein Auto-encoders","created":"2019-01-20","cited_by_count":1},{"id":"2008.13574","title":"Evaluating Knowledge Transfer in Neural Network for Medical Images","created":"2020-08-31","cited_by_count":1}],"next_cursor":null}