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3 papers · 2019–2021 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird

Venues

ACL (1) CVPR (1) NeurIPS (1)

Top co-authors

Frederick Liu (2) Yingyu Liang (1) Somesh Jha (1) Tolga Bolukbasi (1) Andrei Kapishnikov (1) Michael Terry (1) Jiefeng Chen (1) Subhashini Venugopalan (1) Xi Wu (1) Ben Wedin (1)

Research topics

Machine Learning (3) Artificial Intelligence (2) Core AI (2) Core Methods (2) Deep Learning (1) Natural Language Processing (1) Application Areas (1) Applications (1) Learning Types (1) Optimization & Theory (1)

Keywords

feature attribution (2) text classification (1) explainable ai (1) neural network interpretability (1) model interpretability (1) error detection (1) prior knowledge (1) distribution shift (1) saliency map (1) bias mitigation (1) integrated gradient (1) unlabeled data (1) prior incorporation (1) unsupervised accuracy estimation (1) neural network (1) adaptive path (1) adaptive path method (1) ensemble learning (1) path method (1)

Papers

Detecting Errors and Estimating Accuracy on Unlabeled Data with Self-training Ensembles NeurIPS 2021 Guided Integrated Gradients: An Adaptive Path Method for Removing Noise CVPR 2021 Incorporating Priors with Feature Attribution on Text Classification ACL 2019