Karthik Narasimhan
Karthik Narasimhan
Assistant Professor, Princeton University
Verified email at cs.princeton.edu - Homepage
Title
Cited by
Cited by
Year
Improving language understanding by generative pre-training
A Radford, K Narasimhan, T Salimans, I Sutskever
URL https://s3-us-west-2. amazonaws. com/openai-assets/research-covers …, 2018
26202018
Hierarchical deep reinforcement learning: Integrating temporal abstraction and intrinsic motivation
TD Kulkarni, KR Narasimhan, A Saeedi, JB Tenenbaum
Neural Information Processing Systems (NIPS), 2016
8012016
Improving language understanding with unsupervised learning
A Radford, K Narasimhan, T Salimans, I Sutskever
Technical report, OpenAI, 2018
3762018
Language understanding for text-based games using deep reinforcement learning
K Narasimhan, T Kulkarni, R Barzilay
Empirical Methods in Natural Language Processing (EMNLP), 2015
3302015
Improving Information Extraction by Acquiring External Evidence with Reinforcement Learning
K Narasimhan, A Yala, R Barzilay
Empirical Methods in Natural Language Processing (EMNLP), 2016
1382016
Nonparametric Spherical Topic Modeling with Word Embeddings
K Batmanghelich, A Saeedi, K Narasimhan, S Gershman
Association for Computational Linguistics (ACL), 2016
852016
Improving Language Understanding by Generative Pre
A Radford, K Narasimhan, T Salimans, I Sutskever
Training 12, 2018
712018
An Unsupervised Method for Uncovering Morphological Chains
K Narasimhan, R Barzilay, T Jaakkola
Transactions of the Association for Computational Linguistics (TACL), 2015
632015
sk_p: a neural program corrector for MOOCs
Y Pu, K Narasimhan, A Solar-Lezama, R Barzilay
Companion Proceedings of the 2016 ACM SIGPLAN International Conference on …, 2016
612016
Neural Generation of Regular Expressions from Natural Language with Minimal Domain Knowledge
N Locascio, K Narasimhan, E DeLeon, N Kushman, R Barzilay
Empirical Methods in Natural Language Processing (EMNLP), 2016
612016
Machine Comprehension with Discourse Relations
K Narasimhan, R Barzilay
Association for Computational Linguistics (ACL), 2015
582015
Grounding language for transfer in deep reinforcement learning
K Narasimhan, R Barzilay, T Jaakkola
Journal of Artificial Intelligence Research 63, 849-874, 2018
50*2018
A generalized algorithm for multi-objective reinforcement learning and policy adaptation
R Yang, X Sun, K Narasimhan
Advances in Neural Information Processing Systems (NeurIPS), 2019
472019
Representation learning for grounded spatial reasoning
M Janner, K Narasimhan, R Barzilay
Transactions of the Association for Computational Linguistics 6, 49-61, 2018
422018
Morphological Segmentation for Keyword Spotting
K Narasimhan, D Karakos, R Schwartz, S Tsakalidis, R Barzilay
Empirical Methods in Natural Language Processing (EMNLP), 2014
372014
Projection-Based Constrained Policy Optimization.
TY Yang, J Rosca, K Narasimhan, PJ Ramadge
International Conference on Learning Representations, 2020
352020
Task-agnostic dynamics priors for deep reinforcement learning
Y Du, K Narasimhan
International Conference on Machine Learning, 2019
282019
Keep CALM and Explore: Language Models for Action Generation in Text-based Games
S Yao, R Rao, M Hausknecht, K Narasimhan
Empirical Methods in Natural Language Processing (EMNLP), 2020
142020
Evolving Graphical Planner: Contextual Global Planning for Vision-and-Language Navigation
Z Deng, K Narasimhan, O Russakovsky
Advances in Neural Information Processing Systems 33, 2020
122020
Universal adversarial attacks with natural triggers for text classification
L Song, X Yu, HT Peng, K Narasimhan
Annual Conference of the North American Chapter of the Association for …, 2020
122020
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