Mark Yatskar
Mark Yatskar
Allen Institute for Artificial Intelligence
Dirección de correo verificada de cs.washington.edu - Página principal
TítuloCitado porAño
Men also like shopping: Reducing gender bias amplification using corpus-level constraints
J Zhao, T Wang, M Yatskar, V Ordonez, KW Chang
arXiv preprint arXiv:1707.09457, 2017
2012017
For the sake of simplicity: Unsupervised extraction of lexical simplifications from Wikipedia
M Yatskar, B Pang, C Danescu-Niculescu-Mizil, L Lee
Human Language Technologies: The 2010 Annual Conference of the North …, 2010
1402010
Neural motifs: Scene graph parsing with global context
R Zellers, M Yatskar, S Thomson, Y Choi
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
1202018
Neural amr: Sequence-to-sequence models for parsing and generation
I Konstas, S Iyer, M Yatskar, Y Choi, L Zettlemoyer
arXiv preprint arXiv:1704.08381, 2017
912017
Situation Recognition: Visual Semantic Role Labeling for Image Understanding
M Yatskar, L Zettlemoyer, A Farhadi
Conference on Computer Vision and Pattern Recognition, 2016
902016
Quac: Question answering in context
E Choi, H He, M Iyyer, M Yatskar, W Yih, Y Choi, P Liang, L Zettlemoyer
arXiv preprint arXiv:1808.07036, 2018
872018
Gender bias in coreference resolution: Evaluation and debiasing methods
J Zhao, T Wang, M Yatskar, V Ordonez, KW Chang
arXiv preprint arXiv:1804.06876, 2018
662018
See No Evil, Say No Evil: Description Generation from Densely Labeled Images
M Yatskar, M Galley, L Vanderwende, L Zettlemoyer
Lexical and Computational Semantics (* SEM 2014), 110, 2014
382014
Gender bias in contextualized word embeddings
J Zhao, T Wang, M Yatskar, R Cotterell, V Ordonez, KW Chang
arXiv preprint arXiv:1904.03310, 2019
302019
Visualbert: A simple and performant baseline for vision and language
LH Li, M Yatskar, D Yin, CJ Hsieh, KW Chang
arXiv preprint arXiv:1908.03557, 2019
272019
A qualitative comparison of coqa, squad 2.0 and quac
M Yatskar
arXiv preprint arXiv:1809.10735, 2018
262018
Stating the obvious: Extracting visual common sense knowledge
M Yatskar, V Ordonez, A Farhadi
Proceedings of the 2016 Conference of the North American Chapter of the …, 2016
212016
Commonly uncommon: Semantic sparsity in situation recognition
M Yatskar, V Ordonez, L Zettlemoyer, A Farhadi
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
152017
Adversarial removal of gender from deep image representations
T Wang, J Zhao, KW Chang, M Yatskar, V Ordonez
arXiv preprint arXiv:1811.08489, 2018
11*2018
Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases
C Clark, M Yatskar, L Zettlemoyer
arXiv preprint arXiv:1909.03683, 2019
42019
Learning to relate literal and sentimental descriptions of visual properties
M Yatskar, S Volkova, A Celikyilmaz, B Dolan, L Zettlemoyer
Proceedings of the 2013 Conference of the North American Chapter of the …, 2013
22013
Proceedings of the Workshop on Generalization in the Age of Deep Learning
Y Bisk, O Levy, M Yatskar
Proceedings of the Workshop on Generalization in the Age of Deep Learning, 2018
2018
Natural Language as a Scaffold for Visual Recognition
M Yatskar
2017
Situation Recognition
M Yatskar
Supplemental Material-Incomparable Evaluation Summary
R Zellers, M Yatskar, S Thomson, Y Choi
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