Joelle Pineau
Active 1999–2026
- Also published as
- Joëlle Pineau
- 262
- Papers
- 25,115
- Citations
- 68
- h-index
- 181
- i10-index
Citations
Citation sources
Countries
Institutions
Fields
- Computer Science69.7%
- Engineering10.4%
- Psychology4.1%
- Medicine3.4%
- Decision Sciences2.5%
- Social Sciences2.2%
- Other7.7%
Topics
- Topic Modeling7.8%
- Reinforcement Learning in Robotics6.7%
- Natural Language Processing Techniques5.1%
- Speech and dialogue systems4.2%
- Multimodal Machine Learning Applications2.6%
- Social Robot Interaction and HRI1.7%
- Other71.9%
Coauthors
- Doina Precup38
- Peter Henderson18
- Iulian Vlad Serban17
- Amy Zhang15
- Ryan Lowe15
- Yoshua Bengio15
- Koustuv Sinha14
- Audrey Durand13
- Sebastian Thrun13
- Laurent Charlin11
- Prasanna Parthasarathi11
- Joshua Romoff10
- Aaron C. Courville9
- Mahdi Milani Fard9
- Nicholas Roy9
- Thang Doan9
- Emmanuel Bengio8
- Shagun Sodhani8
- Vincent François-Lavet8
- William L. Hamilton8
- Brahim Chaib-draa7
- Geoffrey J. Gordon7
- Guillaume Rabusseau7
- Lucas Caccia7
All papers
- An Introduction to Deep Reinforcement Learning
Authors: Vincent François-Lavet, Peter Henderson, Riashat Islam, Marc G. Bellemare, Joelle Pineau - Foundations and Trends® in Machine Learning, Found. Trends Mach. Learn. 2018 cited by 1,251
- Deep Reinforcement Learning That Matters
Authors: Peter Henderson, Riashat Islam, Philip Bachman, Joelle Pineau, Doina Precup, David Meger - AAAI Conference on Artificial Intelligence 2018 cited by 1,567
- Benchmarking Batch Deep Reinforcement Learning Algorithms
Authors: Scott Fujimoto, Edoardo Conti, Mohammad Ghavamzadeh, Joelle Pineau - arXiv (Cornell University), CoRR 2019 cited by 409
- Proceedings of the 29th International Conference on Machine Learning (ICML-12)
Authors: John Langford, Joelle Pineau - arXiv (Cornell University), CoRR 2012 cited by 1,618
- Transparency and reproducibility in artificial intelligence
Authors: Benjamin Haibe‐Kains, George Alexandru Adam, Ahmed Hosny, Farnoosh Khodakarami, Massive Analysis Quality Control (MAQC) Society Board of Directors, Thakkar Shraddha, Rebecca Kusko, Susanna‐Assunta Sansone, Weida Tong, Russ Wolfinger, Christopher E. Mason, Wendell Jones, Joaquı́n Dopazo, Cesare Furlanello, Levi Waldron, Bo Wang, Chris McIntosh, Anna Goldenberg, Anshul Kundaje, Casey S. Greene, Tamara Broderick, Michael M. Hoffman, Jeffrey T. Leek, Keegan Korthauer, Wolfgang Huber, Alvis Brāzma, Joëlle Pineau, Robert Tibshirani, Trevor Hastie, John P. A. Ioannidis, John Quackenbush, Hugo J.W.L. Aerts - Nature 2020 cited by 501
- Improving Passage Retrieval with Zero-Shot Question Generation
Authors: Devendra Singh Sachan, Mike Lewis, Mandar Joshi, Armen Aghajanyan, Wen-tau Yih, Joelle Pineau, Luke Zettlemoyer - Conference on Empirical Methods in Natural Language Processing, EMNLP 2022 cited by 79
- Conditional Computation in Neural Networks for faster models
Authors: Emmanuel Bengio, Pierre-Luc Bacon, Joelle Pineau, Doina Precup - arXiv (Cornell University), CoRR 2015 cited by 230
- Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models
Authors: Iulian Vlad Serban, Alessandro Sordoni, Yoshua Bengio, Aaron C. Courville, Joelle Pineau - 2159-5399, AAAI 2016 cited by 1,725
- Improving Reproducibility in Machine Learning Research (A Report from the NeurIPS 2019 Reproducibility Program)
Authors: Joelle Pineau, Philippe Vincent-Lamarre, Koustuv Sinha, Vincent Larivière, Alina Beygelzimer, Florence d'Alché-Buc, Emily B. Fox, Hugo Larochelle - J. Mach. Learn. Res. 2021 cited by 204
- On the Societal Impact of Open Foundation Models
Authors: Sayash Kapoor, Rishi Bommasani, Kevin Klyman, Shayne Longpre, Ashwin Ramaswami, Peter Cihon, Aspen K. Hopkins, Kevin Bankston, Stella Biderman, Miranda Bogen, Rumman Chowdhury, Alex Engler, Peter Henderson, Yacine Jernite, Seth Lazar, Stefano Maffulli, Alondra Nelson, Joelle Pineau, Aviya Skowron, Dawn Song, Victor Storchan, Daniel Zhang, Daniel E. Ho, Percy Liang, Arvind Narayanan - arXiv (Cornell University), CoRR 2024 cited by 59
- Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little
Authors: Koustuv Sinha, Robin Jia, Dieuwke Hupkes, Joelle Pineau, Adina Williams, Douwe Kiela - Conference on Empirical Methods in Natural Language Processing, EMNLP (1) 2021 cited by 186
- Bayesian Reinforcement Learning: A Survey
Authors: Mohammad Ghavamzadeh, Shie Mannor, Joelle Pineau, Aviv Tamar - Foundations and Trends® in Machine Learning, Found. Trends Mach. Learn. 2015 cited by 223
- CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text
Authors: Koustuv Sinha, Shagun Sodhani, Jin Dong, Joelle Pineau, William L. Hamilton - Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), EMNLP/IJCNLP (1) 2019 cited by 91
- New Insights on Reducing Abrupt Representation Change in Online Continual Learning
Authors: Lucas Caccia, Rahaf Aljundi, Nader Asadi, Tinne Tuytelaars, Joelle Pineau, Eugene Belilovsky - ICLR 2022 cited by 296
- How NOT To Evaluate Your Dialogue System: An Empirical Study of Unsupervised Evaluation Metrics for Dialogue Response Generation
Authors: Chia-Wei Liu, Ryan Lowe, Iulian Serban, Michael Noseworthy, Laurent Charlin, Joelle Pineau - Conference on Empirical Methods in Natural Language Processing, EMNLP 2016 cited by 916
- Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning
Authors: Peter Henderson, Jieru Hu, Joshua Romoff, Emma Brunskill, Dan Jurafsky, Joelle Pineau - arXiv (Cornell University), CoRR 2020 cited by 307
- Online Bagging and Boosting for Imbalanced Data Streams
Authors: Boyu Wang, Joelle Pineau - IEEE Transactions on Knowledge and Data Engineering, IEEE Trans. Knowl. Data Eng. 2016 cited by 181
- A survey of point-based POMDP solvers
Authors: Guy Shani, Joelle Pineau, Robert Kaplow - Autonomous Agents and Multi-Agent Systems, Auton. Agents Multi Agent Syst. 2012 cited by 433
- Socially Adaptive Path Planning in Human Environments Using Inverse Reinforcement Learning
Authors: Beomjoon Kim, Joelle Pineau - International Journal of Social Robotics, Int. J. Soc. Robotics 2015 cited by 224
- Automated Data-Driven Generation of Personalized Pedagogical Interventions in Intelligent Tutoring Systems
Authors: Ekaterina Kochmar, Dung Do Vu, Robert Belfer, Varun Gupta, Iulian Vlad Serban, Joelle Pineau - International Journal of Artificial Intelligence in Education, Int. J. Artif. Intell. Educ. 2021 cited by 86
- An Actor-Critic Algorithm for Sequence Prediction
Authors: Dzmitry Bahdanau, Philemon Brakel, Kelvin Xu, Anirudh Goyal, Ryan Lowe, Joelle Pineau, Aaron C. Courville, Yoshua Bengio - ICLR (Poster) 2017 cited by 671
- Person tracking and following with 2D laser scanners
Authors: Angus Leigh, Joelle Pineau, Nicolas A. Olmedo, Hong Zhang - IEEE International Conference on Robotics and Automation (ICRA) 2015 cited by 195
- The Second Conversational Intelligence Challenge (ConvAI2)
Authors: Emily Dinan, Varvara Logacheva, Valentin Malykh, Alexander H. Miller, Kurt Shuster, Jack Urbanek, Douwe Kiela, Arthur Szlam, Iulian Serban, Ryan Lowe, Shrimai Prabhumoye, Alan W. Black, Alexander I. Rudnicky, Jason D. Williams, Joelle Pineau, Mikhail Burtsev, Jason Weston - The Springer series on challenges in machine learning 2019 cited by 366
- A Dissection of Overfitting and Generalization in Continuous Reinforcement Learning
Authors: Amy Zhang, Nicolas Ballas, Joelle Pineau - arXiv (Cornell University), CoRR 2018 cited by 125
