Documents dont l'auteur est "Gulcehre, Caglar"

Article de revue

Gulcehre, C., Anbil Parthipan, S. C., Cho, K., & Bengio, Y. (2018). Dynamic neural turing machine with continuous and discrete addressing schemes. Neural Computation, 30(4), 857-884. Lien externe

Kahou, S. E., Bouthillier, X., Lamblin, P., Gulcehre, C., Michalski, V., Konda, K., Jean, S., Froumenty, P., Dauphin, Y., Boulanger-Lewandowski, N., Ferrari, R. C., Mirza, M., Warde-Farley, D., Courville, A., Vincent, P., Memisevic, R., Pal, C. J., & Bengio, Y. (2016). EmoNets: Multimodal deep learning approaches for emotion recognition in video. Journal on Multimodal User Interfaces, 10(2), 99-111. Lien externe

Communication écrite

Serban, I. V., García-Durán, A., Gulcehre, C., Ahn, S., Anbil Parthipan, S. C., Courville, A., & Bengio, Y. (août 2016). Generating Factoid Questions with Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus [Communication écrite]. 54th annual meeting of the Association for Computational Linguistics, Berlin, Germany. Lien externe

Kahou, S. E., Pal, C. J., Bouthillier, X., Froumenty, P., Gulcehre, C., Memisevic, R., Vincent, P., Courville, A., Bengio, Y., Ferrari, R. C., Mirza, M., Jean, S., Carrier, P.-L., Dauphin, Y., Boulanger-Lewandowski, N., Aggarwal, A., Zumer, J., Lamblin, P., Raymond, J.-P., ... Wu, Z. (décembre 2013). Combining modality specific deep neural networks for emotion recognition in video [Communication écrite]. 15th ACM International Conference on Multimodal Interaction (ICMI 2013), Sydney, NSW, Australia. Lien externe