Lamblin, Pascal

7 publications

NeurIPSW 2024 Unlearning In- vs. Out-of-Distribution Data in LLMs Under Gradient-Based Methods Teodora Baluta, Pascal Lamblin, Daniel Tarlow, Fabian Pedregosa, Gintare Karolina Dziugaite

NeurIPS 2021 PLUR: A Unifying, Graph-Based View of Program Learning, Understanding, and Repair Zimin Chen, Vincent J Hellendoorn, Pascal Lamblin, Petros Maniatis, Pierre-Antoine Manzagol, Daniel Tarlow, Subhodeep Moitra

ICLR 2020 Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples Eleni Triantafillou, Tyler Zhu, Vincent Dumoulin, Pascal Lamblin, Utku Evci, Kelvin Xu, Ross Goroshin, Carles Gelada, Kevin Swersky, Pierre-Antoine Manzagol, Hugo Larochelle

NeurIPS 2018 Automatic Differentiation in ML: Where We Are and Where We Should Be Going Bart van Merrienboer, Olivier Breuleux, Arnaud Bergeron, Pascal Lamblin

JMLR 2009 Exploring Strategies for Training Deep Neural Networks Hugo Larochelle, Yoshua Bengio, Jérôme Louradour, Pascal Lamblin

NeurIPS 2007 Learning the 2-D Topology of Images Nicolas L. Roux, Yoshua Bengio, Pascal Lamblin, Marc Joliveau, Balázs Kégl

NeurIPS 2006 Greedy Layer-Wise Training of Deep Networks Yoshua Bengio, Pascal Lamblin, Dan Popovici, Hugo Larochelle