Mark Yatskar

According to our database1, Mark Yatskar authored at least 20 papers between 2010 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2020
Grounded Situation Recognition.
CoRR, 2020

RoboTHOR: An Open Simulation-to-Real Embodied AI Platform.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

What Does BERT with Vision Look At?
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
VisualBERT: A Simple and Performant Baseline for Vision and Language.
CoRR, 2019

Gender Bias in Contextualized Word Embeddings.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

A Qualitative Comparison of CoQA, SQuAD 2.0 and QuAC.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018
Adversarial Removal of Gender from Deep Image Representations.
CoRR, 2018

Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

QuAC: Question Answering in Context.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Neural Motifs: Scene Graph Parsing With Global Context.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Commonly Uncommon: Semantic Sparsity in Situation Recognition.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Neural AMR: Sequence-to-Sequence Models for Parsing and Generation.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
Stating the Obvious: Extracting Visual Common Sense Knowledge.
Proceedings of the NAACL HLT 2016, 2016

Situation Recognition: Visual Semantic Role Labeling for Image Understanding.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2014
See No Evil, Say No Evil: Description Generation from Densely Labeled Images.
Proceedings of the Third Joint Conference on Lexical and Computational Semantics, 2014

2013
Learning to Relate Literal and Sentimental Descriptions of Visual Properties.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2013

2010
For the sake of simplicity: Unsupervised extraction of lexical simplifications from Wikipedia.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2010


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