| A theoretical analysis of feature pooling in visual recognition YL Boureau, J Ponce, Y LeCun Proceedings of the 27th international conference on machine learning (ICML …, 2010 | 1959 | 2010 |
| Unsupervised learning of invariant feature hierarchies with applications to object recognition MA Ranzato, FJ Huang, YL Boureau, Y LeCun Computer Vision and Pattern Recognition, 2007. CVPR'07. IEEE Conference on, 1-8, 2007 | 1610 | 2007 |
| Learning mid-level features for recognition YL Boureau, F Bach, Y LeCun, J Ponce 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010 | 1460 | 2010 |
| Sparse feature learning for deep belief networks MA Ranzato, YL Boureau, Y LeCun Advances in neural information processing systems 20, 1185-1192, 2007 | 1184 | 2007 |
| Recipes for building an open-domain chatbot S Roller, E Dinan, N Goyal, D Ju, M Williamson, Y Liu, J Xu, M Ott, ... arXiv preprint arXiv:2004.13637, 2020 | 1098 | 2020 |
| Learning end-to-end goal-oriented dialog A Bordes, YL Boureau, J Weston arXiv preprint arXiv:1605.07683, 2016 | 992 | 2016 |
| Towards Empathetic Open-domain Conversation Models: A New Benchmark and Dataset H Rashkin, EM Smith, M Li, YL Boureau Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 974 | 2019 |
| Towards empathetic open-domain conversation models: A new benchmark and dataset H Rashkin, EM Smith, M Li, YL Boureau arXiv preprint arXiv:1811.00207, 2018 | 974 | 2018 |
| Learning convolutional feature hierarchies for visual recognition K Kavukcuoglu, P Sermanet, YL Boureau, K Gregor, M Mathieu, Y LeCun Advances in Neural Information Processing Systems, 2010 | 753 | 2010 |
| Opponency revisited: competition and cooperation between dopamine and serotonin YL Boureau, P Dayan Neuropsychopharmacology 36 (1), 74-97, 2010 | 527 | 2010 |
| Ask the locals: multi-way local pooling for image recognition YL Boureau, N Le Roux, F Bach, J Ponce, Y LeCun | 383 | 2011 |
| BlenderBot 3: a deployed conversational agent that continually learns to responsibly engage K Shuster, J Xu, M Komeili, D Ju, EM Smith, S Roller, M Ung, M Chen, ... arXiv preprint arXiv:2208.03188, 2022 | 267 | 2022 |
| Multiple-attribute text rewriting G Lample, S Subramanian, E Smith, L Denoyer, MA Ranzato, YL Boureau International Conference on Learning Representations, 2018 | 263 | 2018 |
| Deciding How To Decide: Self-Control and Meta-Decision Making YL Boureau, P Sokol-Hessner, ND Daw Trends in Cognitive Sciences, 2015 | 255 | 2015 |
| Can You Put it All Together: Evaluating Conversational Agents' Ability to Blend Skills EM Smith, M Williamson, K Shuster, J Weston, YL Boureau arXiv preprint arXiv:2004.08449, 2020 | 235 | 2020 |
| Don't Say That! Making Inconsistent Dialogue Unlikely with Unlikelihood Training M Li, S Roller, I Kulikov, S Welleck, YL Boureau, K Cho, J Weston arXiv preprint arXiv:1911.03860, 2019 | 203 | 2019 |
| A unified energy-based framework for unsupervised learning MA Ranzato, YL Boureau, S Chopra, Y LeCun Proc. Conference on AI and Statistics (AI-Stats), 2007 | 194 | 2007 |
| Recipes for Safety in Open-domain Chatbots J Xu, D Ju, M Li, YL Boureau, J Weston, E Dinan arXiv preprint arXiv:2010.07079, 2020 | 192 | 2020 |
| On the Pitfalls of Measuring Emergent Communication R Lowe, J Foerster, YL Boureau, J Pineau, Y Dauphin Proceedings of the 18th International Conference on Autonomous Agents and …, 2019 | 148 | 2019 |
| Reducing conversational agents’ overconfidence through linguistic calibration SJ Mielke, A Szlam, E Dinan, YL Boureau Transactions of the Association for Computational Linguistics 10, 857-872, 2022 | 139 | 2022 |
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