Department of Computer Science

Machine Learning Research Group

University of Texas at Austin Artificial Intelligence Lab

Publications: 2019

  1. Self-Critical Reasoning for Robust Visual Question Answering
    [Details] [PDF] [Slides (PDF)] [Poster]
    Jialin Wu and Raymond J. Mooney
    In Proceedings of Neural Information Processing Systems (NeurIPS) , December 2019.
  2. Hidden State Guidance: Improving Image Captioning using An Image Conditioned Autoencoder
    [Details] [PDF] [Poster]
    Jialin Wu and Raymond J. Mooney
    In Proceedings of the Visually Grounded Interaction and Language Workshop at NeurIPS 2019, December 2019.
  3. Optimal Use Of Verbal Instructions For Multi-Robot Human Navigation Guidance
    [Details] [PDF] [Slides (PDF)] [Video]
    Harel Yedidsion, Jacqueline Deans, Connor Sheehan, Mahathi Chillara, Justin Hart, Peter Stone, and Raymond J. Mooney
    In Proceedings of the Eleventh International Conference on Social Robotics, 133-143, 2019. Springer.
  4. A Framework for Writing Trigger - Action Todo Comments in Executable Format
    [Details] [PDF] [Slides (PPT)]
    Pengyu Nie, Rishabh Rai, Junyi Jessy Li, Sarfraz Khurshid, Raymond J. Mooney, Milos Gligoric
    In Proceedings of the ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE), Tallinn, Estonia, August 2019. Distinguished Paper Award.
  5. Using Natural Language for Reward Shaping in Reinforcement Learning
    [Details] [PDF] [Slides (PDF)] [Poster]
    Prasoon Goyal, Scott Niekum, Raymond J. Mooney
    In Proceedings of the 28th International Joint Conference on Artificial Intelligence, Macao, China, August 2019.
  6. Generating Question Relevant Captions to Aid Visual Question Answering
    [Details] [PDF] [Slides (PPT)]
    Jialin Wu, Zeyuan Hu, Raymond J. Mooney
    In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL), Florence, Italy, August 2019.
  7. Faithful Multimodal Explanation for Visual Question Answering
    [Details] [PDF] [Slides (PPT)]
    Jialin Wu and Raymond J. Mooney
    In Proceedings of the Second BlackboxNLP Workshop at ACL, 103-112, Florence, Italy, August 2019.
  8. Do Human Rationales Improve Machine Explanations?
    [Details] [PDF] [Poster]
    Julia Strout, Ye Zhang, Raymond J. Mooney
    In Proceedings of the Second BlackboxNLP Workshop at ACL, 56-62, Florence, Italy, August 2019.
  9. AInix: An open platform for natural language interfaces to shell commands
    [Details] [PDF]
    David Gros
    May 2019. Undergraduate Honors Thesis, Computer Science Department, University of Texas at Austin.
  10. Improving Grounded Natural Language Understanding through Human-Robot Dialog
    [Details] [PDF]
    Jesse Thomason, Aishwarya Padmakumar, Jivko Sinapov, Nick Walker, Yuqian Jiang, Harel Yedidsion, Justin Hart, Peter Stone, and Raymond J. Mooney
    In IEEE International Conference on Robotics and Automation (ICRA), Montreal, Canada, May 2019.