2018

  1. Deep Transfer in Reinforcement Learning by Language Grounding. Karthik Narasimhan, Regina Barzilay, Tommi Jaakkola To appear in Journal of Artificial Intelligence Research (JAIR) 2018 [abstract] [pdf]
  2. Improving language understanding by generative pre-training. Alec Radford, Karthik Narasimhan, Tim Salimans, Ilya Sutskever Preprint 2018 [abstract] [pdf]

2017

  1. Grounding Natural Language with Autonomous Interaction. Karthik Narasimhan PhD Thesis 2017 [abstract] [pdf]
  2. Representation Learning for Grounded Spatial Reasoning. Michael Janner, Karthik Narasimhan, Regina Barzilay Transactions of the Association for Computational Linguistics (TACL) 2017 [abstract] [pdf] [code]
  3. Unsupervised Learning of Morphological Forests. Jiaming Luo, Karthik Narasimhan, Regina Barzilay Transactions of the Association for Computational Linguistics (TACL) 2017 [abstract] [pdf] [code]
  4. Constructing sub-word units for Spoken Term Detection. Charl Heerden, Damianos Karakos, Karthik Narasimhan, Marelie Davel, Richard Schwartz IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2017 [abstract] [pdf]

2016

  1. Improving Information Extraction by Acquiring External Evidence with Reinforcement Learning. Karthik Narasimhan, Adam Yala, Regina Barzilay Empirical Methods in Natural Language Processing (EMNLP) 2016 (Best paper award) [abstract] [pdf] [slides] [code] [media: MIT news, Digital Trends, TechRadar, Economic Times]
  2. Hierarchical deep reinforcement learning: Integrating temporal abstraction and intrinsic motivation. Tejas D Kulkarni, Karthik R Narasimhan, Ardavan Saeedi, Joshua B Tenenbaum Neural Information Processing Systems (NIPS) 2016 [abstract] [pdf] [code]
  3. Neural Generation of Regular Expressions from Natural Language with Minimal Domain Knowledge. Nicholas Locascio, Karthik Narasimhan, Eduardo DeLeon, Nate Kushman, Regina Barzilay Empirical Methods in Natural Language Processing (EMNLP) 2016 [abstract] [pdf] [code] [media: Hacker news]
  4. Nonparametric Spherical Topic Modeling with Word Embeddings. Kayhan Batmanghelich, Ardavan Saeedi, Karthik Narasimhan, Sam Gershman Association for Computational Linguistics (ACL) 2016 [abstract] [pdf] [code]

2015

  1. Language understanding for text-based games using deep reinforcement learning. Karthik Narasimhan, Tejas Kulkarni, Regina Barzilay Empirical Methods in Natural Language Processing (EMNLP) 2015 (Best paper honorable mention) [abstract] [pdf] [supp] [slides] [code] [media: MIT news, Hacker news, Evennia blog]
  2. An Unsupervised Method for Uncovering Morphological Chains. Karthik Narasimhan, Regina Barzilay, Tommi Jaakkola Transactions of the Association for Computational Linguistics (TACL) 2015 [abstract] [pdf] [slides] [code] [resources]
  3. Machine Comprehension with Discourse Relations. Karthik Narasimhan, Regina Barzilay Association for Computational Linguistics (ACL) 2015 [abstract] [pdf] [slides] [resources]
  4. JUMP-Means: Small-Variance Asymptotics for Markov Jump Processes. Jonathan H Huggins, Karthik Narasimhan, Ardavan Saeedi, Vikash K Mansinghka International Conference on Machine Learning (ICML) 2015 [abstract] [pdf]

2014

  1. Morphological Segmentation for Keyword Spotting. Karthik Narasimhan, Damianos Karakos, Richard Schwartz, Stavros Tsakalidis, Regina Barzilay Empirical Methods in Natural Language Processing (EMNLP) 2014 [abstract] [pdf] [poster]

2012

  1. Modeling human bounded rationality to improve defender strategies in network security games. Rong Yang, Fei Fang, Albert Xin Jiang, Karthik Rajagopal, Milind Tambe, Rajiv Maheswaran HAIDM workshop at AAMAS 2012 [abstract] [pdf]