Supporting Co-Adaptive Machine Teaching through Human Concept Learning and Cognitive Theories

The use of ranks to avoid the assumption of normality implicit in the analysis of variance

Milton Friedman. 1937 · 1937

Earlier work this paper cites.

Use of ranks in one-criterion variance analysis

William H Kruskal and W Allen Wallis. 1952 · 1952

Earlier work this paper cites.

Large sample standard errors of kappa and weighted kappa

Joseph L Fleiss, Jacob Cohen, and Brian S Everitt. 1969 · 1969

Earlier work this paper cites.

A sequential algorithm for training text classifiers: Corrigendum and additional data. In Acm Sigir Forum , Vol. 29. ACM New York, NY, USA, 13–19

David D Lewis. 1995 · 1995

Earlier work this paper cites.

Structure mapping in analogy and similarity

Dedre Gentner and Arthur B Markman. 1997 · 1997

Earlier work this paper cites.

What makes a man similar to a tie? Stimulus compatibility with comparison and integration

Edward J Wisniewski and Miriam Bassok. 1999 · 1999

Earlier work this paper cites.

Structural alignment facilitates the noticing of differences

Dedre Gentner and Virginia Gunn. 2001 · 2001

Earlier work this paper cites.

Interactive machine learning. In Proceedings of the 8th international conference on Intelligent user interfaces . 39–45

Jerry Alan Fails and Dan R Olsen Jr. 2003 · 2003

Earlier work this paper cites.

The importance of being nonalignable: a critical test of the structural alignment theory of similarity

Zachary Estes and Uri Hasson. 2004 · 2004

Earlier work this paper cites.

Reducing labeling effort for structured prediction tasks. In AAAI , Vol. 5. 746–751

Aron Culotta and Andrew McCallum. 2005 · 2005

Earlier work this paper cites.

Kendall’s coefficient of concordance

Andy P Field. 2005 · 2005

Earlier work this paper cites.

NASA-task load index (NASA-TLX); 20 years later. In Proceedings of the human factors and ergonomics society annual meeting , Vol. 50. Sage publications Sage CA: Los Angeles, CA, 904–908

Sandra G Hart. 2006 · 2006

Earlier work this paper cites.

Active learning for natural language processing

Shilpa Arora and Sachin Agarwal. 2007 · 2007

Earlier work this paper cites.

Affect in* text and speech

Ebba Cecilia Ovesdotter Alm. 2008 · 2008

Earlier work this paper cites.

Structural alignment methods with applications to geospatial ontologies

Isabel F Cruz and William Sunna. 2008 · 2008

Earlier work this paper cites.

Active learning: An introduction

Richard M Felder and Rebecca Brent. 2009 · 2009

Earlier work this paper cites.

Active learning literature survey

Burr Settles. 2009 · 2009

Earlier work this paper cites.

Bootstrapping the mind: Analogical processes and symbol systems

Dedre Gentner. 2010 · 2010

Earlier work this paper cites.

Wilcoxon-Mann-Whitney Test

Markus Neuhäuser. 2011 · 2011

Earlier work this paper cites.

Based on Isolated Saliency or Causal Integration? Toward a Better Understanding of Human Annotation Process using Multiple Instance Learning and Sequential Probability Ratio Test.. In INTERSPEECH . 619–622

Chi-Chun Lee, Athanasios Katsamanis, Panayiotis G Georgiou, and Shrikanth S Narayanan. 2012 · 2012

Earlier work this paper cites.

Interrater reliability: the kappa statistic

Mary L McHugh. 2012 · 2012

Earlier work this paper cites.

Structured labeling for facilitating concept evolution in machine learning. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems . 3075–3084

Todd Kulesza, Saleema Amershi, Rich Caruana, Danyel Fisher, and Denis Charles. 2014 · 2014

Earlier work this paper cites.

Necessary conditions of learning

Ference Marton. 2014 · 2014

Earlier work this paper cites.

FeatureInsight: Visual support for error-driven feature ideation in text classification. In 2015 IEEE Conference on Visual Analytics Science and Technology (VAST) . IEEE, 105–112

Michael Brooks, Saleema Amershi, Bongshin Lee, Steven M Drucker, Ashish Kapoor, and Patrice Simard. 2015 · 2015

Cited alongside, same era.

Yelp dataset challenge: Review rating prediction

Original

Nabiha Asghar. 2016 · 2016

Cited alongside, same era.

Alloy: Clustering with crowds and computation. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems . 3180–3191

Joseph Chee Chang, Aniket Kittur, and Nathan Hahn. 2016 · 2016

Cited alongside, same era.

Human-centred machine learning. In Proceedings of the 2016 CHI conference extended abstracts on human factors in computing systems . 3558–3565

Marco Gillies, Rebecca Fiebrink, Atau Tanaka, Jérémie Garcia, Frédéric Bevilacqua, Alexis Heloir, Fabrizio Nunnari, Wendy Mackay, Saleema Amershi, Bongshin Lee, et al · 2016

Cited alongside, same era.

Revisiting human-robot teaching and learning through the lens of human concept learning. In 2022 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI) . IEEE, 147–156

Serena Booth, Sanjana Sharma, Sarah Chung, Julie Shah, and Elena L Glassman. 2022 · 2022

Later among the works it cites.

DISCO: Distilling counterfactuals with large language models

Original

Zeming Chen, Qiyue Gao, Antoine Bosselut, Ashish Sabharwal, and Kyle Richardson. 2022 · 2022

Later among the works it cites.

CORE: A retrieve-then-edit framework for counterfactual data generation

Original

Tanay Dixit, Bhargavi Paranjape, Hannaneh Hajishirzi, and Luke Zettlemoyer. 2022 · 2022

Later among the works it cites.

Exploratory training: when trainers learn. In Proceedings of the Workshop on Human-In-the-Loop Data Analytics . 1–5

Omeed Habibelahian, Rajesh Shrestha, Arash Termehchy, and Paolo Papotti. 2022 · 2022

Later among the works it cites.