Lucas Caccia

According to our database, Lucas Caccia authored at least 21 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Guiding Language Model Reasoning with Planning Tokens.

Xinyi Wang, Lucas Caccia, Oleksiy Ostapenko, Xingdi Yuan, Alessandro Sordoni

CoRR, 2023

Multi-Head Adapter Routing for Cross-Task Generalization.

Lucas Page-Caccia, Edoardo Maria Ponti, Zhan Su, Matheus Pereira, Nicolas Le Roux, Alessandro Sordoni

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Guiding The Last Layer in Federated Learning with Pre-Trained Models.

Gwen Legate, Nicolas Bernier, Lucas Page-Caccia, Edouard Oyallon, Eugene Belilovsky

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Building a Subspace of Policies for Scalable Continual Learning.

Jean-Baptiste Gaya, Thang Doan, Lucas Caccia, Laure Soulier, Ludovic Denoyer, Roberta Raileanu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Re-Weighted Softmax Cross-Entropy to Control Forgetting in Federated Learning.

Gwen Legate, Lucas Caccia, Eugene Belilovsky

Proceedings of the Conference on Lifelong Learning Agents, 2023

2022

Multi-Head Adapter Routing for Data-Efficient Fine-Tuning.

Lucas Caccia, Edoardo Maria Ponti, Lucas Liu, Matheus Pereira, Nicolas Le Roux, Alessandro Sordoni

CoRR, 2022

New Insights on Reducing Abrupt Representation Change in Online Continual Learning.

Lucas Caccia, Rahaf Aljundi, Nader Asadi, Tinne Tuytelaars, Joelle Pineau, Eugene Belilovsky

Proceedings of the Tenth International Conference on Learning Representations, 2022

On Anytime Learning at Macroscale.

Lucas Caccia, Jing Xu, Myle Ott, Marc'Aurelio Ranzato, Ludovic Denoyer

Proceedings of the Conference on Lifelong Learning Agents, 2022

2021

Decoupled Greedy Learning of CNNs for Synchronous and Asynchronous Distributed Learning.

Eugene Belilovsky, Louis Leconte, Lucas Caccia, Michael Eickenberg, Edouard Oyallon

CoRR, 2021

Reducing Representation Drift in Online Continual Learning.

Lucas Caccia, Rahaf Aljundi, Tinne Tuytelaars, Joelle Pineau, Eugene Belilovsky

CoRR, 2021

SPeCiaL: Self-supervised Pretraining for Continual Learning.

Lucas Caccia, Joelle Pineau

Proceedings of the Continual Semi-Supervised Learning - First International Workshop, 2021

2020

Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning.

Massimo Caccia, Pau Rodríguez, Oleksiy Ostapenko, Fabrice Normandin, Min Lin, Lucas Caccia, Issam H. Laradji, Irina Rish, Alexandre Lacoste, David Vázquez, Laurent Charlin

CoRR, 2020

Online Fast Adaptation and Knowledge Accumulation (OSAKA): a New Approach to Continual Learning.

Massimo Caccia, Pau Rodríguez, Oleksiy Ostapenko, Fabrice Normandin, Min Lin, Lucas Page-Caccia, Issam Hadj Laradji, Irina Rish, Alexandre Lacoste, David Vázquez, Laurent Charlin

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Online Learned Continual Compression with Adaptive Quantization Modules.

Lucas Caccia, Eugene Belilovsky, Massimo Caccia, Joelle Pineau

Proceedings of the 37th International Conference on Machine Learning, 2020

Language GANs Falling Short.

Massimo Caccia, Lucas Caccia, William Fedus, Hugo Larochelle, Joelle Pineau, Laurent Charlin

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Online Learned Continual Compression with Stacked Quantization Module.

Lucas Caccia, Eugene Belilovsky, Massimo Caccia, Joelle Pineau

CoRR, 2019

Online Continual Learning with Maximally Interfered Retrieval.

Rahaf Aljundi, Lucas Caccia, Eugene Belilovsky, Massimo Caccia, Min Lin, Laurent Charlin, Tinne Tuytelaars

CoRR, 2019

Recurrent Value Functions.

Pierre Thodoroff, Nishanth Anand, Lucas Caccia, Doina Precup, Joelle Pineau

CoRR, 2019

Online Continual Learning with Maximal Interfered Retrieval.

Rahaf Aljundi, Eugene Belilovsky, Tinne Tuytelaars, Laurent Charlin, Massimo Caccia, Min Lin, Lucas Page-Caccia

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Deep Generative Modeling of LiDAR Data.

Lucas Caccia, Herke van Hoof, Aaron C. Courville, Joelle Pineau

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

2018

Clustering-Oriented Representation Learning with Attractive-Repulsive Loss.

Kian Kenyon-Dean, Andre Cianflone, Lucas Page-Caccia, Guillaume Rabusseau, Jackie Chi Kit Cheung, Doina Precup

CoRR, 2018