Mark Yatskar

According to our database, Mark Yatskar authored at least 35 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

CoMo: Controllable Motion Generation through Language Guided Pose Code Editing.

Yiming Huang, Weilin Wan, Yue Yang, Chris Callison-Burch, Mark Yatskar, Lingjie Liu

CoRR, 2024

2023

Holodeck: Language Guided Generation of 3D Embodied AI Environments.

Yue Yang, Fan-Yun Sun, Luca Weihs, Eli VanderBilt, Alvaro Herrasti, Winson Han, Jiajun Wu, Nick Haber, Ranjay Krishna, Lingjie Liu, Chris Callison-Burch, Mark Yatskar, Aniruddha Kembhavi, Christopher Clark

CoRR, 2023

Pachinko: Patching Interpretable QA Models through Natural Language Feedback.

Chaitanya Malaviya, Subin Lee, Dan Roth, Mark Yatskar

CoRR, 2023

Interpretable-by-Design Text Classification with Iteratively Generated Concept Bottleneck.

Josh Magnus Ludan, Qing Lyu, Yue Yang, Liam Dugan, Mark Yatskar, Chris Callison-Burch

CoRR, 2023

ExpertQA: Expert-Curated Questions and Attributed Answers.

Chaitanya Malaviya, Subin Lee, Sihao Chen, Elizabeth Sieber, Mark Yatskar, Dan Roth

CoRR, 2023

Interpretable by Design Visual Question Answering.

Xingyu Fu, Ben Zhou, Sihao Chen, Mark Yatskar, Dan Roth

CoRR, 2023

AmbiCoref: Evaluating Human and Model Sensitivity to Ambiguous Coreference.

Yuewei Yuan, Chaitanya Malaviya, Mark Yatskar

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification.

Yue Yang, Artemis Panagopoulou, Shenghao Zhou, Daniel Jin, Chris Callison-Burch, Mark Yatskar

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Visualizing the Obvious: A Concreteness-based Ensemble Model for Noun Property Prediction.

Yue Yang, Artemis Panagopoulou, Marianna Apidianaki, Mark Yatskar, Chris Callison-Burch

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Cascading Biases: Investigating the Effect of Heuristic Annotation Strategies on Data and Models.

Chaitanya Malaviya, Sudeep Bhatia, Mark Yatskar

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Induce, Edit, Retrieve: Language Grounded Multimodal Schema for Instructional Video Retrieval.

Yue Yang, Joongwon Kim, Artemis Panagopoulou, Mark Yatskar, Chris Callison-Burch

CoRR, 2021

Visual Goal-Step Inference using wikiHow.

Yue Yang, Artemis Panagopoulou, Qing Lyu, Li Zhang, Mark Yatskar, Chris Callison-Burch

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Iconary: A Pictionary-Based Game for Testing Multimodal Communication with Drawings and Text.

Christopher Clark, Jordi Salvador, Dustin Schwenk, Derrick Bonafilia, Mark Yatskar, Eric Kolve, Alvaro Herrasti, Jonghyun Choi, Sachin Mehta, Sam Skjonsberg, Carissa Schoenick, Aaron Sarnat, Hannaneh Hajishirzi, Aniruddha Kembhavi, Oren Etzioni, Ali Farhadi

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Visual Semantic Role Labeling for Video Understanding.

Arka Sadhu, Tanmay Gupta, Mark Yatskar, Ram Nevatia, Aniruddha Kembhavi

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Learning to Model and Ignore Dataset Bias with Mixed Capacity Ensembles.

Christopher Clark, Mark Yatskar, Luke Zettlemoyer

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Grounded Situation Recognition.

Sarah M. Pratt, Mark Yatskar, Luca Weihs, Ali Farhadi, Aniruddha Kembhavi

Proceedings of the Computer Vision - ECCV 2020, 2020

RoboTHOR: An Open Simulation-to-Real Embodied AI Platform.

Matt Deitke, Winson Han, Alvaro Herrasti, Aniruddha Kembhavi, Eric Kolve, Roozbeh Mottaghi, Jordi Salvador, Dustin Schwenk, Eli VanderBilt, Matthew Wallingford, Luca Weihs, Mark Yatskar, Ali Farhadi

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

What Does BERT with Vision Look At?

Liunian Harold Li, Mark Yatskar, Da Yin, Cho-Jui Hsieh, Kai-Wei Chang

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

VisualBERT: A Simple and Performant Baseline for Vision and Language.

Liunian Harold Li, Mark Yatskar, Da Yin, Cho-Jui Hsieh, Kai-Wei Chang

CoRR, 2019

Gender Bias in Contextualized Word Embeddings.

Jieyu Zhao, Tianlu Wang, Mark Yatskar, Ryan Cotterell, Vicente Ordonez, Kai-Wei Chang

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.

Mark Yatskar

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.

Tianlu Wang, Jieyu Zhao, Mark Yatskar, Kai-Wei Chang, Vicente Ordonez

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.

Christopher Clark, Mark Yatskar, Luke Zettlemoyer

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.

Tianlu Wang, Jieyu Zhao, Mark Yatskar, Kai-Wei Chang, Vicente Ordonez

CoRR, 2018

Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods.

Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez, Kai-Wei Chang

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.

Eunsol Choi, He He, Mohit Iyyer, Mark Yatskar, Wen-tau Yih, Yejin Choi, Percy Liang, Luke Zettlemoyer

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.

Rowan Zellers, Mark Yatskar, Sam Thomson, Yejin Choi

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.

Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez, Kai-Wei Chang

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Commonly Uncommon: Semantic Sparsity in Situation Recognition.

Mark Yatskar, Vicente Ordonez, Luke Zettlemoyer, Ali Farhadi

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Neural AMR: Sequence-to-Sequence Models for Parsing and Generation.

Ioannis Konstas, Srinivasan Iyer, Mark Yatskar, Yejin Choi, Luke Zettlemoyer

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

Stating the Obvious: Extracting Visual Common Sense Knowledge.

Mark Yatskar, Vicente Ordonez, Ali Farhadi

Proceedings of the NAACL HLT 2016, 2016

Situation Recognition: Visual Semantic Role Labeling for Image Understanding.

Mark Yatskar, Luke Zettlemoyer, Ali Farhadi

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.

Mark Yatskar, Michel Galley, Lucy Vanderwende, Luke Zettlemoyer

Proceedings of the Third Joint Conference on Lexical and Computational Semantics, 2014

2013

Learning to Relate Literal and Sentimental Descriptions of Visual Properties.

Mark Yatskar, Svitlana Volkova, Asli Celikyilmaz, Bill Dolan, Luke Zettlemoyer

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.

Mark Yatskar, Bo Pang, Cristian Danescu-Niculescu-Mizil, Lillian Lee

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2010