Joelle Pineau

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 222

Top Venues

Publications

Sayash Kapoor, Rishi Bommasani, Kevin Klyman, Shayne Longpre, Ashwin Ramaswami, Peter Cihon, Aspen 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
On the Societal Impact of Open Foundation Models. CoRR (2024)
Peter Henderson, Jieru Hu, Mona T. Diab, Joelle Pineau
Rethinking Machine Learning Benchmarks in the Context of Professional Codes of Conduct. CSLAW (2024)
Maxime Wabartha, Joelle Pineau
Piecewise Linear Parametrization of Policies: Towards Interpretable Deep Reinforcement Learning. ICLR (2024)
Devendra Singh Sachan, Mike Lewis, Dani Yogatama, Luke Zettlemoyer, Joelle Pineau, Manzil Zaheer
Questions Are All You Need to Train a Dense Passage Retriever. Trans. Assoc. Comput. Linguistics 11 (2023)
Harsh Satija, Alessandro Lazaric, Matteo Pirotta, Joelle Pineau
Group Fairness in Reinforcement Learning. Trans. Mach. Learn. Res. 2023 (2023)
Madhulika Srikumar, Rebecca Finlay, Grace Abuhamad, Carolyn Ashurst, Rosie Campbell, Emily Campbell-Ratcliffe, Hudson Hongo, Sara R. Jordan, Joseph Lindley, Aviv Ovadya, Joelle Pineau
Publisher Correction: Advancing ethics review practices in AI research. Nat. Mac. Intell. 5 (1) (2023)
Martin Cousineau, Vedat Verter, Susan A. Murphy, Joelle Pineau
Estimating causal effects with optimization-based methods: A review and empirical comparison. Eur. J. Oper. Res. 304 (2) (2023)
Thang Doan, Seyed-Iman Mirzadeh, Joelle Pineau, Mehrdad Farajtabar
Efficient Continual Learning Ensembles in Neural Network Subspaces. CoRR (2022)
Annie Xie, Shagun Sodhani, Chelsea Finn, Joelle Pineau, Amy Zhang
Robust Policy Learning over Multiple Uncertainty Sets. CoRR (2022)
Anthony GX-Chen, Veronica Chelu, Blake A. Richards, Joelle Pineau
A Generalized Bootstrap Target for Value-Learning, Efficiently Combining Value and Feature Predictions. AAAI (2022)
Annie Xie, Shagun Sodhani, Chelsea Finn, Joelle Pineau, Amy Zhang
Robust Policy Learning over Multiple Uncertainty Sets. ICML (2022)
Shagun Sodhani, Franziska Meier, Joelle Pineau, Amy Zhang
Block Contextual MDPs for Continual Learning. L4DC (2022)
Koustuv Sinha, Amirhossein Kazemnejad, Siva Reddy, Joelle Pineau, Dieuwke Hupkes, Adina Williams
The Curious Case of Absolute Position Embeddings. EMNLP (Findings) (2022)
Devendra Singh Sachan, Mike Lewis, Mandar Joshi, Armen Aghajanyan, Wen-tau Yih, Joelle Pineau, Luke Zettlemoyer
Improving Passage Retrieval with Zero-Shot Question Generation. EMNLP (2022)
Ekaterina Kochmar, Dung Do Vu, Robert Belfer, Varun Gupta, Iulian Vlad Serban, Joelle Pineau
Automated Data-Driven Generation of Personalized Pedagogical Interventions in Intelligent Tutoring Systems. Int. J. Artif. Intell. Educ. 32 (2) (2022)
Martin Cousineau, Vedat Verter, Susan A. Murphy, Joelle Pineau
Estimating causal effects with optimization-based methods: A review and empirical comparison. CoRR (2022)
Anthony GX-Chen, Veronica Chelu, Blake A. Richards, Joelle Pineau
A Generalized Bootstrap Target for Value-Learning, Efficiently Combining Value and Feature Predictions. CoRR (2022)
Bogdan Mazoure, Thang Doan, Tianyu Li, Vladimir Makarenkov, Joelle Pineau, Doina Precup, Guillaume Rabusseau
Low-Rank Representation of Reinforcement Learning Policies. J. Artif. Intell. Res. 75 (2022)
Devendra Singh Sachan, Mike Lewis, Mandar Joshi, Armen Aghajanyan, Wen-tau Yih, Joelle Pineau, Luke Zettlemoyer
Improving Passage Retrieval with Zero-Shot Question Generation. CoRR (2022)
Madhulika Srikumar, Rebecca Finlay, Grace Abuhamad, Carolyn Ashurst, Rosie Campbell, Emily Campbell-Ratcliffe, Hudson Hongo, Sara R. Jordan, Joseph Lindley, Aviv Ovadya, Joelle Pineau
Advancing ethics review practices in AI research. Nat. Mac. Intell. 4 (12) (2022)
Koustuv Sinha, Amirhossein Kazemnejad, Siva Reddy, Joelle Pineau, Dieuwke Hupkes, Adina Williams
The Curious Case of Absolute Position Embeddings. CoRR (2022)
Lucas Caccia, Rahaf Aljundi, Nader Asadi, Tinne Tuytelaars, Joelle Pineau, Eugene Belilovsky
New Insights on Reducing Abrupt Representation Change in Online Continual Learning. ICLR (2022)
Devendra Singh Sachan, Mike Lewis, Dani Yogatama, Luke Zettlemoyer, Joelle Pineau, Manzil Zaheer
Questions Are All You Need to Train a Dense Passage Retriever. CoRR (2022)
Emmanuel Bengio, Joelle Pineau, Doina Precup
Correcting Momentum in Temporal Difference Learning. CoRR (2021)
Jongmin Lee, Wonseok Jeon, Byung-Jun Lee, Joelle Pineau, Kee-Eung Kim
OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation. CoRR (2021)
Koustuv Sinha, Robin Jia, Dieuwke Hupkes, Joelle Pineau, Adina Williams, Douwe Kiela
Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little. CoRR (2021)
Shagun Sodhani, Franziska Meier, Joelle Pineau, Amy Zhang
Block Contextual MDPs for Continual Learning. CoRR (2021)
Harsh Satija, Philip S. Thomas, Joelle Pineau, Romain Laroche
Multi-Objective SPIBB: Seldonian Offline Policy Improvement with Safety Constraints in Finite MDPs. NeurIPS (2021)
Manan Tomar, Amy Zhang, Roberto Calandra, Matthew E. Taylor, Joelle Pineau
Model-Invariant State Abstractions for Model-Based Reinforcement Learning. CoRR (2021)
Amy Zhang, Shagun Sodhani, Khimya Khetarpal, Joelle Pineau
Learning Robust State Abstractions for Hidden-Parameter Block MDPs. ICLR (2021)
Koustuv Sinha, Robin Jia, Dieuwke Hupkes, Joelle Pineau, Adina Williams, Douwe Kiela
Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little. EMNLP (1) (2021)
Denis Yarats, Amy Zhang, Ilya Kostrikov, Brandon Amos, Joelle Pineau, Rob Fergus
Improving Sample Efficiency in Model-Free Reinforcement Learning from Images. AAAI (2021)
Prasanna Parthasarathi, Mohamed Abdelsalam, Joelle Pineau, Sarath Chandar
A Brief Study on the Effects of Training Generative Dialogue Models with a Semantic loss. CoRR (2021)
Shagun Sodhani, Amy Zhang, Joelle Pineau
Multi-Task Reinforcement Learning with Context-based Representations. CoRR (2021)
Harsh Satija, Philip S. Thomas, Joelle Pineau, Romain Laroche
Multi-Objective SPIBB: Seldonian Offline Policy Improvement with Safety Constraints in Finite MDPs. CoRR (2021)
Prasanna Parthasarathi, Joelle Pineau, Sarath Chandar
Do Encoder Representations of Generative Dialogue Models Encode Sufficient Information about the Task ? CoRR (2021)
Prasanna Parthasarathi, Koustuv Sinha, Joelle Pineau, Adina Williams
Sometimes We Want Translationese. CoRR (2021)
Anuroop Sriram, Matthew J. Muckley, Koustuv Sinha, Farah Shamout, Joelle Pineau, Krzysztof J. Geras, Lea Azour, Yindalon Aphinyanaphongs, Nafissa Yakubova, William Moore
COVID-19 Prognosis via Self-Supervised Representation Learning and Multi-Image Prediction. CoRR (2021)
Lucas Caccia, Joelle Pineau
SPeCiaL: Self-Supervised Pretraining for Continual Learning. CoRR (2021)
Dora Jambor, Komal K. Teru, Joelle Pineau, William L. Hamilton
Exploring the Limits of Few-Shot Link Prediction in Knowledge Graphs. CoRR (2021)
Shagun Sodhani, Amy Zhang, Joelle Pineau
Multi-Task Reinforcement Learning with Context-based Representations. ICML (2021)
Dora Jambor, Komal K. Teru, Joelle Pineau, William L. Hamilton
Exploring the Limits of Few-Shot Link Prediction in Knowledge Graphs. EACL (2021)
Prasanna Parthasarathi, Joelle Pineau, Sarath Chandar
Do Encoder Representations of Generative Dialogue Models have sufficient summary of the Information about the task ? SIGDIAL (2021)
Bonnie Li, Vincent François-Lavet, Thang Doan, Joelle Pineau
Domain Adversarial Reinforcement Learning. CoRR (2021)
Wonseok Jeon, Chen-Yang Su, Paul Barde, Thang Doan, Derek Nowrouzezahrai, Joelle Pineau
Regularized Inverse Reinforcement Learning. ICLR (2021)
Lucas Caccia, Rahaf Aljundi, Tinne Tuytelaars, Joelle Pineau, Eugene Belilovsky
Reducing Representation Drift in Online Continual Learning. CoRR (2021)
Koustuv Sinha, Prasanna Parthasarathi, Joelle Pineau, Adina Williams
UnNatural Language Inference. ACL/IJCNLP (1) (2021)
Jongmin Lee, Wonseok Jeon, Byung-Jun Lee, Joelle Pineau, Kee-Eung Kim
OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation. ICML (2021)
Joshua Romoff, Peter Henderson, David Kanaa, Emmanuel Bengio, Ahmed Touati, Pierre-Luc Bacon, Joelle Pineau
TDprop: Does Adaptive Optimization With Jacobi Preconditioning Help Temporal Difference Learning? AAMAS (2021)
Prasanna Parthasarathi, Koustuv Sinha, Joelle Pineau, Adina Williams
Sometimes We Want Ungrammatical Translations. EMNLP (Findings) (2021)
Prasanna Parthasarathi, Mohamed Abdelsalam, Sarath Chandar, Joelle Pineau
A Brief Study on the Effects of Training Generative Dialogue Models with a Semantic loss. SIGDIAL (2021)
Joelle Pineau, Philippe Vincent-Lamarre, Koustuv Sinha, Vincent Larivière, Alina Beygelzimer, Florence d'Alché-Buc, Emily B. Fox, Hugo Larochelle
Improving Reproducibility in Machine Learning Research(A Report from the NeurIPS 2019 Reproducibility Program). J. Mach. Learn. Res. 22 (2021)
Lucas Caccia, Joelle Pineau
SPeCiaL: Self-supervised Pretraining for Continual Learning. CSSL (2021)
Koustuv Sinha, Prasanna Parthasarathi, Joelle Pineau, Adina Williams
Unnatural Language Inference. CoRR (2021)
Kalesha Bullard, Douwe Kiela, Joelle Pineau, Jakob N. Foerster
Quasi-Equivalence Discovery for Zero-Shot Emergent Communication. CoRR (2021)
Ruo Yu Tao, Vincent François-Lavet, Joelle Pineau
Novelty Search in Representational Space for Sample Efficient Exploration. NeurIPS (2020)
Paul Barde, Julien Roy, Wonseok Jeon, Joelle Pineau, Christopher J. Pal, Derek Nowrouzezahrai
Adversarial Soft Advantage Fitting: Imitation Learning without Policy Optimization. CoRR (2020)
Wonseok Jeon, Chen-Yang Su, Paul Barde, Thang Doan, Derek Nowrouzezahrai, Joelle Pineau
Regularized Inverse Reinforcement Learning. CoRR (2020)
Harsh Satija, Philip Amortila, Joelle Pineau
Constrained Markov Decision Processes via Backward Value Functions. CoRR (2020)
Ahmed Touati, Amy Zhang, Joelle Pineau, Pascal Vincent
Stable Policy Optimization via Off-Policy Divergence Regularization. UAI (2020)
Joelle Pineau, Philippe Vincent-Lamarre, Koustuv Sinha, Vincent Larivière, Alina Beygelzimer, Florence d'Alché-Buc, Emily B. Fox, Hugo Larochelle
Improving Reproducibility in Machine Learning Research (A Report from the NeurIPS 2019 Reproducibility Program). CoRR (2020)
Ryan Lowe, Abhinav Gupta, Jakob N. Foerster, Douwe Kiela, Joelle Pineau
On the interaction between supervision and self-play in emergent communication. CoRR (2020)
Emmanuel Bengio, Joelle Pineau, Doina Precup
Interference and Generalization in Temporal Difference Learning. CoRR (2020)
Harsh Satija, Philip Amortila, Joelle Pineau
Constrained Markov Decision Processes via Backward Value Functions. ICML (2020)
Maxime Wabartha, Audrey Durand, Vincent François-Lavet, Joelle Pineau
Handling Black Swan Events in Deep Learning with Diversely Extrapolated Neural Networks. IJCAI (2020)
Iulian Vlad Serban, Chinnadhurai Sankar, Michael Pieper, Joelle Pineau, Yoshua Bengio
The Bottleneck Simulator: A Model-Based Deep Reinforcement Learning Approach. J. Artif. Intell. Res. 69 (2020)
Deepak Sharma, Audrey Durand, Marc-André Legault, Louis-Philippe Lemieux Perreault, Audrey Lemaçon, Marie-Pierre Dubé, Joelle Pineau
Deep interpretability for GWAS. CoRR (2020)
Ge Yang, Amy Zhang, Ari S. Morcos, Joelle Pineau, Pieter Abbeel, Roberto Calandra
Plan2Vec: Unsupervised Representation Learning by Latent Plans. CoRR (2020)
Emmanuel Bengio, Joelle Pineau, Doina Precup
Interference and Generalization in Temporal Difference Learning. ICML (2020)
Koustuv Sinha, Prasanna Parthasarathi, Jasmine Wang, Ryan Lowe, William L. Hamilton, Joelle Pineau
Learning an Unreferenced Metric for Online Dialogue Evaluation. ACL (2020)
Ekaterina Kochmar, Dung Do Vu, Robert Belfer, Varun Gupta, Iulian Vlad Serban, Joelle Pineau
Automated Personalized Feedback Improves Learning Gains in an Intelligent Tutoring System. CoRR (2020)
Eric Crawford, Joelle Pineau
Exploiting Spatial Invariance for Scalable Unsupervised Object Tracking. AAAI (2020)
Nathan Peiffer-Smadja, Redwan Maatoug, François-Xavier Lescure, Eric D'ortenzio, Joelle Pineau, Jean-Rémi King
Machine Learning for COVID-19 needs global collaboration and data-sharing. Nat. Mach. Intell. 2 (6) (2020)
Joelle Pineau
Building reproducible, reusable, and robust machine learning software. DEBS (2020)
Amy Zhang, Shagun Sodhani, Khimya Khetarpal, Joelle Pineau
Multi-Task Reinforcement Learning as a Hidden-Parameter Block MDP. CoRR (2020)
Vincent François-Lavet, Guillaume Rabusseau, Joelle Pineau, Damien Ernst, Raphael Fonteneau
On Overfitting and Asymptotic Bias in Batch Reinforcement Learning with Partial Observability (Extended Abstract). IJCAI (2020)
Iulian Vlad Serban, Varun Gupta, Ekaterina Kochmar, Dung Do Vu, Robert Belfer, Joelle Pineau, Aaron C. Courville, Laurent Charlin, Yoshua Bengio
A Large-Scale, Open-Domain, Mixed-Interface Dialogue-Based ITS for STEM. AIED (2) (2020)
Iulian Vlad Serban, Varun Gupta, Ekaterina Kochmar, Dung Do Vu, Robert Belfer, Joelle Pineau, Aaron C. Courville, Laurent Charlin, Yoshua Bengio
A Large-Scale, Open-Domain, Mixed-Interface Dialogue-Based ITS for STEM. CoRR (2020)
Amy Zhang, Clare Lyle, Shagun Sodhani, Angelos Filos, Marta Kwiatkowska, Joelle Pineau, Yarin Gal, Doina Precup
Invariant Causal Prediction for Block MDPs. CoRR (2020)
Peter Henderson, Jieru Hu, Joshua Romoff, Emma Brunskill, Dan Jurafsky, Joelle Pineau
Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning. CoRR (2020)
Massimo Caccia, Lucas Caccia, William Fedus, Hugo Larochelle, Joelle Pineau, Laurent Charlin
Language GANs Falling Short. ICLR (2020)
Koustuv Sinha, Shagun Sodhani, Joelle Pineau, William L. Hamilton
Evaluating Logical Generalization in Graph Neural Networks. CoRR (2020)
Kalesha Bullard, Franziska Meier, Douwe Kiela, Joelle Pineau, Jakob N. Foerster
Exploring Zero-Shot Emergent Communication in Embodied Multi-Agent Populations. CoRR (2020)
Ruo Yu Tao, Vincent François-Lavet, Joelle Pineau
Novelty Search in representational space for sample efficient exploration. CoRR (2020)
Paul Barde, Julien Roy, Wonseok Jeon, Joelle Pineau, Chris Pal, Derek Nowrouzezahrai
Adversarial Soft Advantage Fitting: Imitation Learning without Policy Optimization. NeurIPS (2020)
Prasanna Parthasarathi, Joelle Pineau, Sarath Chandar
How To Evaluate Your Dialogue System: Probe Tasks as an Alternative for Token-level Evaluation Metrics. CoRR (2020)
Melissa Mozifian, Amy Zhang, Joelle Pineau, David Meger
Intervention Design for Effective Sim2Real Transfer. CoRR (2020)
Qizhen Zhang, Audrey Durand, Joelle Pineau
Literature Mining for Incorporating Inductive Bias in Biomedical Prediction Tasks (Student Abstract). AAAI (2020)
Lucas Caccia, Eugene Belilovsky, Massimo Caccia, Joelle Pineau
Online Learned Continual Compression with Adaptive Quantization Modules. ICML (2020)
Ryan Lowe, Abhinav Gupta, Jakob N. Foerster, Douwe Kiela, Joelle Pineau
On the interaction between supervision and self-play in emergent communication. ICLR (2020)
Bogdan Mazoure, Thang Doan, Tianyu Li, Vladimir Makarenkov, Joelle Pineau, Doina Precup, Guillaume Rabusseau
Provably efficient reconstruction of policy networks. CoRR (2020)
Ge Yang, Amy Zhang, Ari S. Morcos, Joelle Pineau, Pieter Abbeel, Roberto Calandra
Plan2Vec: Unsupervised Representation Learning by Latent Plans. L4DC (2020)
Joshua Romoff, Peter Henderson, David Kanaa, Emmanuel Bengio, Ahmed Touati, Pierre-Luc Bacon, Joelle Pineau
TDprop: Does Jacobi Preconditioning Help Temporal Difference Learning? CoRR (2020)
Wonseok Jeon, Paul Barde, Derek Nowrouzezahrai, Joelle Pineau
Scalable Multi-Agent Inverse Reinforcement Learning via Actor-Attention-Critic. CoRR (2020)
Ahmed Touati, Amy Zhang, Joelle Pineau, Pascal Vincent
Stable Policy Optimization via Off-Policy Divergence Regularization. CoRR (2020)
Amy Zhang, Clare Lyle, Shagun Sodhani, Angelos Filos, Marta Kwiatkowska, Joelle Pineau, Yarin Gal, Doina Precup
Invariant Causal Prediction for Block MDPs. ICML (2020)
Ekaterina Kochmar, Dung Do Vu, Robert Belfer, Varun Gupta, Iulian Vlad Serban, Joelle Pineau
Automated Personalized Feedback Improves Learning Gains in An Intelligent Tutoring System. AIED (2) (2020)
Koustuv Sinha, Prasanna Parthasarathi, Jasmine Wang, Ryan Lowe, William L. Hamilton, Joelle Pineau
Learning an Unreferenced Metric for Online Dialogue Evaluation. CoRR (2020)
Boyu Wang, Hejia Zhang, Peng Liu, Zebang Shen, Joelle Pineau
Multitask Metric Learning: Theory and Algorithm. AISTATS (2019)
Lucas Caccia, Eugene Belilovsky, Massimo Caccia, Joelle Pineau
Online Learned Continual Compression with Stacked Quantization Module. CoRR (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Joelle Pineau