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Understanding the performance of machine learning models across diverse data distributions is critically important for reliable applications.
Spectral graph theory
Fan RK Chung and Fan Chung Graham · 1997
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Laplacian eigenmaps for dimensionality reduction and data representation
Mikhail Belkin and Partha Niyogi · 2003
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On modularity clustering
Ulrik Brandes, Daniel Delling, Marco Gaertler, Robert Gorke, Martin Hoefer, Zoran Nikoloski, and Dorothea Wagner · 2007
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Fast unfolding of communities in large networks
Vincent D Blondel, Jean-Loup Guillaume, Renaud Lambiotte, and Etienne Lefebvre · 2008
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Adapting visual category models to new domains
Kate Saenko, Brian Kulis, Mario Fritz, and Trevor Darrell · 2010
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Microsoft COCO: common objects in context
Tsung-Yi Lin, Michael Maire, Serge J. Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C. Lawrence Zitnick · 2014
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node2vec: Scalable feature learning for networks
Aditya Grover and Jure Leskovec · 2016
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Deep CORAL: correlation alignment for deep domain adaptation
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YFCC100M: the new data in multimedia research
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Deep hashing network for unsupervised domain adaptation
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Harmonic networks: Deep translation and rotation equivariance
D. E. Worrall, S. J. Garbin, D. Turmukhambetov, and G. J. Brostow · 2017
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Gender shades: Intersectional accuracy disparities in commercial gender classification
Joy Buolamwini and Timnit Gebru · 2018
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Conditional adversarial domain adaptation
Mingsheng Long, Zhangjie Cao, Jianmin Wang, and Michael I. Jordan · 2018
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Meta-learning for semi-supervised few-shot classification
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Martín Arjovsky, Léon Bottou, Ishaan Gulrajani, and David Lopez-Paz · 2019
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Data shapley: Equitable valuation of data for machine learning
Amirata Ghorbani and James Y. Zou · 2019
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Benchmarking neural network robustness to common corruptions and perturbations
WILDS: A benchmark of in-the-wild distribution shifts
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Distributionally robust neural networks
Shiori Sagawa, Pang Wei Koh, Tatsunori B. Hashimoto, and Percy Liang · 2020
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Breeds: Benchmarks for subpopulation shift
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Dataset cartography: Mapping and diagnosing datasets with training dynamics
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Disparities in dermatology ai: Assessments using diverse clinical images
Roxana Daneshjou, Kailas Vodrahalli, Weixin Liang, Roberto A. Novoa, Melissa Jenkins, Veronica M Rotemberg, Justin M. Ko, Susan M. Swetter, Elizabeth E Bailey, Olivier Gevaert, Pritam Mukherjee, Michelle Phung, Kiana Yekrang, Bradley Fong, Rachna Sahasrabudhe, James Zou, and Albert Sean Chiou · 2021
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In search of lost domain generalization
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A broader study of cross-domain few-shot learning
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Towards non-IID image classification: A dataset and baselines
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Racial disparities in automated speech recognition
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Domino: Discovering systematic errors with cross-modal embeddings
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