Iulian Vlad Serban
Title
Cited by
Cited by
Year
Building end-to-end dialogue systems using generative hierarchical neural network models
I Serban, A Sordoni, Y Bengio, A Courville, J Pineau
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
1435*2016
How not to evaluate your dialogue system: An empirical study of unsupervised evaluation metrics for dialogue response generation
CW Liu, R Lowe, IV Serban, M Noseworthy, L Charlin, J Pineau
arXiv preprint arXiv:1603.08023, 2016
7972016
Theano: A Python framework for fast computation of mathematical expressions
R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ...
arXiv e-prints, arXiv: 1605.02688, 2016
787*2016
A hierarchical latent variable encoder-decoder model for generating dialogues
I Serban, A Sordoni, R Lowe, L Charlin, J Pineau, A Courville, Y Bengio
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
7602017
The ubuntu dialogue corpus: A large dataset for research in unstructured multi-turn dialogue systems
R Lowe, N Pow, I Serban, J Pineau
arXiv preprint arXiv:1506.08909, 2015
6412015
A survey of available corpora for building data-driven dialogue systems
IV Serban, R Lowe, P Henderson, L Charlin, J Pineau
arXiv preprint arXiv:1512.05742, 2015
2452015
Towards an automatic turing test: Learning to evaluate dialogue responses
R Lowe, M Noseworthy, IV Serban, N Angelard-Gontier, Y Bengio, ...
arXiv preprint arXiv:1708.07149, 2017
2212017
Generating factoid questions with recurrent neural networks: The 30m factoid question-answer corpus
IV Serban, A García-Durán, C Gulcehre, S Ahn, S Chandar, A Courville, ...
arXiv preprint arXiv:1603.06807, 2016
2132016
A deep reinforcement learning chatbot
IV Serban, C Sankar, M Germain, S Zhang, Z Lin, S Subramanian, T Kim, ...
arXiv preprint arXiv:1709.02349, 2017
1932017
Multiresolution recurrent neural networks: An application to dialogue response generation
I Serban, T Klinger, G Tesauro, K Talamadupula, B Zhou, Y Bengio, ...
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
1822017
Training end-to-end dialogue systems with the ubuntu dialogue corpus
R Lowe, N Pow, IV Serban, L Charlin, CW Liu, J Pineau
Dialogue & Discourse 8 (1), 31-65, 2017
1232017
The second conversational intelligence challenge (convai2)
E Dinan, V Logacheva, V Malykh, A Miller, K Shuster, J Urbanek, D Kiela, ...
arXiv preprint arXiv:1902.00098, 2019
772019
Generative deep neural networks for dialogue: A short review
IV Serban, R Lowe, L Charlin, J Pineau
arXiv preprint arXiv:1611.06216, 2016
632016
On the evaluation of dialogue systems with next utterance classification
R Lowe, IV Serban, M Noseworthy, L Charlin, J Pineau
arXiv preprint arXiv:1605.05414, 2016
592016
Piecewise latent variables for neural variational text processing
IV Serban, AG Ororbia II, J Pineau, A Courville
arXiv preprint arXiv:1612.00377, 2016
41*2016
The second conversational intelligence challenge (convai2)
E Dinan, V Logacheva, V Malykh, A Miller, K Shuster, J Urbanek, D Kiela, ...
The NeurIPS'18 Competition, 187-208, 2020
362020
Incorporating unstructured textual knowledge sources into neural dialogue systems
R Lowe, N Pow, I Serban, L Charlin, J Pineau
Neural information processing systems workshop on machine learning for …, 2015
292015
The bottleneck simulator: A model-based deep reinforcement learning approach
IV Serban, C Sankar, M Pieper, J Pineau, Y Bengio
Journal of Artificial Intelligence Research 69, 571-612, 2020
162020
The first conversational intelligence challenge
M Burtsev, V Logacheva, V Malykh, IV Serban, R Lowe, S Prabhumoye, ...
The NIPS'17 Competition: Building Intelligent Systems, 25-46, 2018
122018
A deep reinforcement learning chatbot (short version)
IV Serban, C Sankar, M Germain, S Zhang, Z Lin, S Subramanian, T Kim, ...
arXiv preprint arXiv:1801.06700, 2018
112018
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