Monter d'un niveau |
Bengio, Y., Deleu, T., Rahaman, N., Ke, N. R., Lachapelle, S., Bilaniuk, O., Goyal, A., & Pal, C. J. (avril 2020). A meta-transfer objective for learning to disentagle causal mechanisms [Communication écrite]. 8th International Conference on Learning Representations (ICLR 2020), Addis Ababa, Ethiopia (27 pages). Lien externe
Yuan, X., Cote, M.-A., Fu, J., Lin, Z., Pal, C. J., Bengio, Y., & Trischler, A. (novembre 2019). Interactive language learning by question answering [Communication écrite]. Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP 2019), Hong Kong, China. Lien externe
Bengio, Y., Frejinger, E., Lodi, A., Patel, R., & Sankaranarayanan, S. (septembre 2020). A Learning-Based Algorithm to Quickly Compute Good Primal Solutions for Stochastic Integer Programs [Communication écrite]. 17th International Conference on Integration of Constraint Programming, Artificial Intelligence, and Operations Research. (CPAIOR 2020), Vienna, Austria. Lien externe
Gupta, P., Gasse, M., Khalil, E. B., Kumar, M. P., Lodi, A., & Bengio, Y. (décembre 2020). Hybrid models for learning to branch [Communication écrite]. 34th Conference on neural Information Processing Systems (NeurIPS 2020), Vancouver, Canada (11 pages). Lien externe
Gupta, P., Gasse, M., Khalil, E. B., Kumar, M. P., Lodi, A., & Bengio, Y. (décembre 2020). Supplement: Hybrid models for learning to branch [Communication écrite]. 34th Conference on neural Information Processing Systems (NeurIPS 2020), Vancouver, Canada (8 pages). Lien externe