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pro vyhledávání: '"Rajeshwar, Sai"'
Autor:
Serban, Iulian V., Sankar, Chinnadhurai, Germain, Mathieu, Zhang, Saizheng, Lin, Zhouhan, Subramanian, Sandeep, Kim, Taesup, Pieper, Michael, Chandar, Sarath, Ke, Nan Rosemary, Rajeshwar, Sai, de Brebisson, Alexandre, Sotelo, Jose M. R., Suhubdy, Dendi, Michalski, Vincent, Nguyen, Alexandre, Pineau, Joelle, Bengio, Yoshua
We present MILABOT: a deep reinforcement learning chatbot developed by the Montreal Institute for Learning Algorithms (MILA) for the Amazon Alexa Prize competition. MILABOT is capable of conversing with humans on popular small talk topics through bot
Externí odkaz:
http://arxiv.org/abs/1709.02349
Autor:
Bergner, Anouk S (AUTHOR) anouk.bergner@unisg.ch, Hildebrand, Christian (AUTHOR) anouk.bergner@unisg.ch, Häubl, Gerald (AUTHOR)
Publikováno v:
Journal of Consumer Research. Dec2023, Vol. 50 Issue 4, p742-764. 23p.
Autor:
Gupta, Soumya Sen, Rajeshwar, Sai
Publikováno v:
2014 International Conference on Advances in Computing, Communications & Informatics (ICACCI); 2014, p2669-2673, 5p
Autor:
Pin-Yu Chen, Cho-Jui Hsieh
Adversarial Robustness for Machine Learning summarizes the recent progress on this topic and introduces popular algorithms on adversarial attack, defense and veri?cation. Sections cover adversarial attack, veri?cation and defense, mainly focusing on
Explainable Deep Learning AI: Methods and Challenges presents the latest works of leading researchers in the XAI area, offering an overview of the XAI area, along with several novel technical methods and applications that address explainability chall