Mark Yatskar
Mark Yatskar
Allen Institute for Artificial Intelligence
Verified email at cs.washington.edu - Homepage
Title
Cited by
Cited by
Year
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
2762017
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
1702018
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
1632018
For the sake of simplicity: Unsupervised extraction of lexical simplifications from Wikipedia
M Yatskar, B Pang, C Danescu-Niculescu-Mizil, L Lee
arXiv preprint arXiv:1008.1986, 2010
1592010
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
1452017
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
1122018
Situation Recognition: Visual Semantic Role Labeling for Image Understanding
M Yatskar, L Zettlemoyer, A Farhadi
Conference on Computer Vision and Pattern Recognition, 2016
1122016
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
632019
Gender bias in contextualized word embeddings
J Zhao, T Wang, M Yatskar, R Cotterell, V Ordonez, KW Chang
arXiv preprint arXiv:1904.03310, 2019
622019
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
472014
A qualitative comparison of coqa, squad 2.0 and quac
M Yatskar
arXiv preprint arXiv:1809.10735, 2018
412018
Balanced datasets are not enough: Estimating and mitigating gender bias in deep image representations
T Wang, J Zhao, M Yatskar, KW Chang, V Ordonez
Proceedings of the IEEE International Conference on Computer Vision, 5310-5319, 2019
31*2019
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
292016
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
202019
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
192017
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
RoboTHOR: An Open Simulation-to-Real Embodied AI Platform
M Deitke, W Han, A Herrasti, A Kembhavi, E Kolve, R Mottaghi, J Salvador, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
12020
What Does BERT with Vision Look At?
LH Li, M Yatskar, D Yin, CJ Hsieh, KW Chang
Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020
2020
Grounded Situation Recognition
S Pratt, M Yatskar, L Weihs, A Farhadi, A Kembhavi
arXiv preprint arXiv:2003.12058, 2020
2020
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
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Articles 1–20