Department of Computer Science

Machine Learning Research Group

University of Texas at Austin Artificial Intelligence Lab

Publications: 2018

  1. Learning a Policy for Opportunistic Active Learning
    [Details] [PDF]
    Aishwarya Padmakumar, Peter Stone, Raymond J. Mooney
    To Appear In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP-18), Brussels, Belgium, 2018.
  2. Explainable Improved Ensembling for Natural Language and Vision
    [Details] [PDF] [Slides (PPT)] [Slides (PDF)]
    Nazneen Rajani
    PhD Thesis, Department of Computer Science, The University of Texas at Austin, July 2018.
  3. Joint Image Captioning and Question Answering
    [Details] [PDF] [Poster]
    Jialin Wu, Zeyuan Hu and Raymond J. Mooney
    In VQA Challenge and Visual Dialog Workshop at the 31st IEEE Conference on Computer Vision and Pattern Recognition (CVPR-18) , 2018.
  4. Continually Improving Grounded Natural Language Understanding through Human-Robot Dialog
    [Details] [PDF] [Slides (PPT)] [Slides (PDF)]
    Jesse Thomason
    PhD Thesis, Department of Computer Science, The University of Texas at Austin, April 2018.
  5. Stacking With Auxiliary Features for Visual Question Answering
    [Details] [PDF] [Poster]
    Nazneen Fatema Rajani, Raymond J. Mooney
    In Proceedings of the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2217-2226, 2018.
  6. Natural Language Processing and Program Analysis for Supporting Todo Comments as Software Evolves
    [Details] [PDF]
    Pengyu Nie, Junyi Jessy Li, Sarfraz Khurshid, Raymond Mooney, Milos Gligoric
    In In Proceedings of the AAAI Workshop on NLP for Software Engineering, February 2018.
  7. Guiding Exploratory Behaviors for Multi-Modal Grounding of Linguistic Descriptions
    [Details] [PDF] [Slides (PDF)]
    Jesse Thomason, Jivko Sinapov, Raymond Mooney, Peter Stone
    In Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18) , February 2018.
  8. Multi-modal Predicate Identification using Dynamically Learned Robot Controllers
    [Details] [PDF]
    Saeid Amiri and Suhua Wei and Shiqi Zhang and Jivko Sinapov and Jesse Thomason and Peter Stone
    In Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI-18), Stockholm, Sweden, July 2018.