Lucas Caccia

According to our database, Lucas Caccia authored at least 14 papers between 2018 and 2021.

Collaborative distances:

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

2021

On Anytime Learning at Macroscale.

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

CoRR, 2021

SPeCiaL: Self-Supervised Pretraining for Continual Learning.

Lucas Caccia, Joelle Pineau

CoRR, 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

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