Cartography Active Learning

Discriminative active learning

Original

Daniel Gissin and Shai Shalev-Shwartz. 2019 · 1907

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Teoria statistica delle classi e calcolo delle probabilita

Carlo Bonferroni. 1936 · 1936

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A mathematical theory of communication

Claude E Shannon. 1948 · 1948

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Heterogeneous uncertainty sampling for supervised learning

David D Lewis and Jason Catlett. 1994 · 1994

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A sequential algorithm for training text classifiers

David D Lewis and William A Gale. 1994 · 1994

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Committee-based sampling for training probabilistic classifiers

Ido Dagan and Sean P Engelson. 1995 · 1995

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Learning question classifiers

Xin Li and Dan Roth. 2002 · 2002

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Reducing labeling effort for structured prediction tasks

Aron Culotta and Andrew McCallum. 2005 · 2005

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Active learning literature survey

Burr Settles. 2009 · 2009

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Bayesian active learning for classification and preference learning

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Neil Houlsby, Ferenc Huszár, Zoubin Ghahramani, and Máté Lengyel. 2011 · 2011

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Active learning

Burr Settles. 2012 · 2012

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SimCompass: Using deep learning word embeddings to assess cross-level similarity

Carmen Banea, Di Chen, Rada Mihalcea, Claire Cardie, and Janyce Wiebe. 2014 · 2014

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Character-level convolutional networks for text classification

Xiang Zhang, Junbo Jake Zhao, and Yann LeCun. 2015 · 2015

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Dropout as a bayesian approximation: Representing model uncertainty in deep learning

Yarin Gal and Zoubin Ghahramani. 2016 · 2016

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Enriching word vectors with subword information

Piotr Bojanowski, Edouard Grave, Armand Joulin, and Tomas Mikolov. 2017 · 2017

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Deep active learning over the long tail

Original

Yonatan Geifman and Ran El-Yaniv. 2017 · 2017

Deep active learning for named entity recognition

Yanyao Shen, Hyokun Yun, Zachary C. Lipton, Yakov Kronrod, and Animashree Anandkumar. 2018 · 2018

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Deep Bayesian active learning for natural language processing: Results of a large-scale empirical study

Aditya Siddhant and Zachary C. Lipton. 2018 · 2018

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Deep dominance - how to properly compare deep neural models

Rotem Dror, Segev Shlomov, and Roi Reichart. 2019 · 2019

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Practical obstacles to deploying active learning

David Lowell, Zachary C. Lipton, and Byron C. Wallace. 2019 · 2019

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Active Learning for BERT: An Empirical Study

Liat Ein-Dor, Alon Halfon, Ariel Gera, Eyal Shnarch, Lena Dankin, Leshem Choshen, Marina Danilevsky, Ranit Aharonov, Yoav Katz, and Noam Slonim. 2020 · 2020

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Dataset cartography: Mapping and diagnosing datasets with training dynamics