Works matching IS 26895595 AND DT 2021 AND VI 2 AND IP 4

Results: 24

DARPA's explainable AI (XAI) program: A retrospective.

Published in:

Applied AI Letters, 2021, v. 2, n. 4, p. 1, doi. 10.1002/ail2.61

By:

Gunning, David;
Vorm, Eric;
Wang, Jennifer Yunyan;
Turek, Matt

Publication type:

Article

Reframing explanation as an interactive medium: The EQUAS (Explainable Question Answering System) project.

Published in:

Applied AI Letters, 2021, v. 2, n. 4, p. 1, doi. 10.1002/ail2.60

By:

Ferguson, William;
Batra, Dhruv;
Mooney, Raymond;
Parikh, Devi;
Torralba, Antonio;
Bau, David;
Diller, David;
Fasching, Josh;
Fiotto-Kaufman, Jaden;
Goyal, Yash;
Miller, Jeff;
Moffitt, Kerry;
de Oca, Alex Montes;
Selvaraju, Ramprasaath R.;
Shrivastava, Ayush;
Wu, Jialin;
Lee, Stefan

Publication type:

Article

Explainable activity recognition in videos: Lessons learned.

Published in:

Applied AI Letters, 2021, v. 2, n. 4, p. 1, doi. 10.1002/ail2.59

By:

Roy, Chiradeep;
Nourani, Mahsan;
Honeycutt, Donald R.;
Block, Jeremy E.;
Rahman, Tahrima;
Ragan, Eric D.;
Ruozzi, Nicholas;
Gogate, Vibhav

Publication type:

Article

Towards structured NLP interpretation via graph explainers.

Published in:

Applied AI Letters, 2021, v. 2, n. 4, p. 1, doi. 10.1002/ail2.58

By:

Hao Yuan;
Fan Yang;
Mengnan Du;
Shuiwang Ji;
Xia Hu

Publication type:

Article

Objective criteria for explanations of machine learning models.

Published in:

Applied AI Letters, 2021, v. 2, n. 4, p. 1, doi. 10.1002/ail2.57

By:

Chih-Kuan Yeh;
Ravikumar, Pradeep

Publication type:

Article

Toward explainable and advisable model for self-driving cars.

Published in:

Applied AI Letters, 2021, v. 2, n. 4, p. 1, doi. 10.1002/ail2.56

By:

Jinkyu Kim;
Rohrbach, Anna;
Akata, Zeynep;
Suhong Moon;
Teruhisa Misu;
Yi-Ting Chen;
Darrell, Trevor;
Canny, John

Publication type:

Article

Generating visual explanations with natural language.

Published in:

Applied AI Letters, 2021, v. 2, n. 4, p. 1, doi. 10.1002/ail2.55

By:

Hendricks, Lisa Anne;
Rohrbach, Anna;
Schiele, Bernt;
Darrell, Trevor;
Akata, Zeynep

Publication type:

Article

Explaining autonomous drones: An XAI journey.

Published in:

Applied AI Letters, 2021, v. 2, n. 4, p. 1, doi. 10.1002/ail2.54

By:

Stefik, Mark;
Youngblood, Michael;
Pirolli, Peter;
Lebiere, Christian;
Thomson, Robert;
Price, Robert;
Nelson, Lester D.;
Krivacic, Robert;
Le, Jacob;
Mitsopoulos, Konstantinos;
Somers, Sterling;
Schooler, Joel

Publication type:

Article

Methods and standards for research on explainable artificial intelligence: Lessons from intelligent tutoring systems.

Published in:

Applied AI Letters, 2021, v. 2, n. 4, p. 1, doi. 10.1002/ail2.53

By:

Clancey, William J.;
Hoffman, Robert R.

Publication type:

Article

Explaining robot policies.

Published in:

Applied AI Letters, 2021, v. 2, n. 4, p. 1, doi. 10.1002/ail2.52

By:

Watkins, Olivia;
Sandy Huang;
Frost, Julius;
Bhatia, Kush;
Weiner, Eric;
Abbeel, Pieter;
Darrell, Trevor;
Plummer, Bryan;
Saenko, Kate;
Dragan, Anca

Publication type:

Article

Generating and evaluating explanations of attended and error-inducing input regions for VQA models.

Published in:

Applied AI Letters, 2021, v. 2, n. 4, p. 1, doi. 10.1002/ail2.51

By:

Ray, Arijit;
Cogswell, Michael;
Xiao Lin;
Alipour, Kamran;
Divakaran, Ajay;
Yi Yao;
Burachas, Giedrius

Publication type:

Article

How level of explanation detail affects human performance in interpretable intelligent systems: A study on explainable fact checking.

Published in:

Applied AI Letters, 2021, v. 2, n. 4, p. 1, doi. 10.1002/ail2.49

By:

Linder, Rhema;
Mohseni, Sina;
Fan Yang;
Pentyala, Shiva K.;
Ragan, Eric D.;
Xia Ben Hu

Publication type:

Article

Neural response time analysis: Explainable artificial intelligence using only a stopwatch.

Published in:

Applied AI Letters, 2021, v. 2, n. 4, p. 1, doi. 10.1002/ail2.48

By:

Taylor, J. Eric T.;
Shekhar, Shashank;
Taylor, Graham W.

Publication type:

Article

Improving users' mental model with attention-directed counterfactual edits.

Published in:

Applied AI Letters, 2021, v. 2, n. 4, p. 1, doi. 10.1002/ail2.47

By:

Alipour, Kamran;
Ray, Arijit;
Xiao Lin;
Cogswell, Michael;
Schulze, Jurgen P.;
Yi Yao;
Burachas, Giedrius T.

Publication type:

Article

From heatmaps to structured explanations of image classifiers.

Published in:

Applied AI Letters, 2021, v. 2, n. 4, p. 1, doi. 10.1002/ail2.46

By:

Li Fuxin;
Zhongang Qi;
Khorram, Saeed;
Shitole, Vivswan;
Tadepalli, Prasad;
Kahng, Minsuk;
Fern, Alan

Publication type:

Article

Measuring and characterizing generalization in deep reinforcement learning.

Published in:

Applied AI Letters, 2021, v. 2, n. 4, p. 1, doi. 10.1002/ail2.45

By:

Witty, Sam;
Lee, Jun K.;
Tosch, Emma;
Atrey, Akanksha;
Clary, Kaleigh;
Littman, Michael L.;
Jensen, David

Publication type:

Article

Remembering for the right reasons: Explanations reduce catastrophic forgetting.

Published in:

Applied AI Letters, 2021, v. 2, n. 4, p. 1, doi. 10.1002/ail2.44

By:

Ebrahimi, Sayna;
Petryk, Suzanne;
Gokul, Akash;
Gan, William;
Gonzalez, Joseph E.;
Rohrbach, Marcus;
Darrell, Trevor

Publication type:

Article

Patching interpretable And-Or-Graph knowledge representation using augmented reality.

Published in:

Applied AI Letters, 2021, v. 2, n. 4, p. 1, doi. 10.1002/ail2.43

By:

Hangxin Liu;
Yixin Zhu;
Song-Chun Zhu

Publication type:

Article

User-guided global explanations for deep image recognition: A user study.

Published in:

Applied AI Letters, 2021, v. 2, n. 4, p. 1, doi. 10.1002/ail2.42

By:

Hamidi-Haines, Mandana;
Zhongang Qi;
Fern, Alan;
Fuxin Li;
Tadepalli, Prasad

Publication type:

Article

Explainable, interactive content-based image retrieval.

Published in:

Applied AI Letters, 2021, v. 2, n. 4, p. 1, doi. 10.1002/ail2.41

By:

Vasu, Bhavan;
Hu, Brian;
Bo Dong;
Collins, Roddy;
Hoogs, Anthony

Publication type:

Article

XAITK: The explainable AI toolkit.

Published in:

Applied AI Letters, 2021, v. 2, n. 4, p. 1, doi. 10.1002/ail2.40

By:

Hu, Brian;
Tunison, Paul;
Vasu, Bhavan;
Menon, Nitesh;
Collins, Roddy;
Hoogs, Anthony

Publication type:

Article

Explainable neural computation via stack neural module networks.

Published in:

Applied AI Letters, 2021, v. 2, n. 4, p. 1, doi. 10.1002/ail2.39

By:

Ronghang Hu;
Andreas, Jacob;
Darrell, Trevor;
Saenko, Kate

Publication type:

Article

Abstraction, validation, and generalization for explainable artificial intelligence.

Published in:

Applied AI Letters, 2021, v. 2, n. 4, p. 1, doi. 10.1002/ail2.37

By:

Cheng-Hsin Yang, Scott;
Folke, Tomas;
Shafto, Patrick

Publication type:

Article

From "no clear winner" to an effective Explainable Artificial Intelligence process: An empirical journey.

Published in:

Applied AI Letters, 2021, v. 2, n. 4, p. 1, doi. 10.1002/ail2.36

By:

Dodge, Jonathan;
Anderson, Andrew;
Khanna, Roli;
Irvine, Jed;
Dikkala, Rupika;
Kin-Ho Lam;
Tabatabai, Delyar;
Ruangrotsakun, Anita;
Shureih, Zeyad;
Kahng, Minsuk;
Fern, Alan;
Burnett, Margaret

Publication type:

Article