Lucas Caccia

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 24

Top Topics

Adaptive Quantization

Top Venues

Publications

Oleksiy Ostapenko, Zhan Su, Edoardo Maria Ponti, Laurent Charlin, Nicolas Le Roux, Matheus Pereira, Lucas Caccia, Alessandro Sordoni
Towards Modular LLMs by Building and Reusing a Library of LoRAs. CoRR (2024)
Gwen Legate, Nicolas Bernier, Lucas Caccia, Edouard Oyallon, Eugene Belilovsky
Guiding The Last Layer in Federated Learning with Pre-Trained Models. CoRR (2023)
Gwen Legate, Lucas Caccia, Eugene Belilovsky
Re-Weighted Softmax Cross-Entropy to Control Forgetting in Federated Learning. CoLLAs (2023)
Gwen Legate, Lucas Caccia, Eugene Belilovsky
Re-Weighted Softmax Cross-Entropy to Control Forgetting in Federated Learning. CoRR (2023)
Xinyi Wang, Lucas Caccia, Oleksiy Ostapenko, Xingdi Yuan, Alessandro Sordoni
Guiding Language Model Reasoning with Planning Tokens. CoRR (2023)
Jean-Baptiste Gaya, Thang Doan, Lucas Caccia, Laure Soulier, Ludovic Denoyer, Roberta Raileanu
Building a Subspace of Policies for Scalable Continual Learning. ICLR (2023)
Lucas Caccia, Edoardo Maria Ponti, Lucas Liu, Matheus Pereira, Nicolas Le Roux, Alessandro Sordoni
Multi-Head Adapter Routing for Data-Efficient Fine-Tuning. CoRR (2022)
Lucas Caccia, Jing Xu, Myle Ott, Marc'Aurelio Ranzato, Ludovic Denoyer
On Anytime Learning at Macroscale. CoLLAs (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)
Jean-Baptiste Gaya, Thang Doan, Lucas Caccia, Laure Soulier, Ludovic Denoyer, Roberta Raileanu
Building a Subspace of Policies for Scalable Continual Learning. CoRR (2022)
Lucas Caccia, Joelle Pineau
SPeCiaL: Self-Supervised Pretraining for Continual Learning. CoRR (2021)
Lucas Caccia, Jing Xu, Myle Ott, Marc'Aurelio Ranzato, Ludovic Denoyer
On Anytime Learning at Macroscale. CoRR (2021)
Eugene Belilovsky, Louis Leconte, Lucas Caccia, Michael Eickenberg, Edouard Oyallon
Decoupled Greedy Learning of CNNs for Synchronous and Asynchronous Distributed Learning. CoRR (2021)
Lucas Caccia, Rahaf Aljundi, Tinne Tuytelaars, Joelle Pineau, Eugene Belilovsky
Reducing Representation Drift in Online Continual Learning. CoRR (2021)
Lucas Caccia, Joelle Pineau
SPeCiaL: Self-supervised Pretraining for Continual Learning. CSSL (2021)
Massimo Caccia, Pau Rodríguez, Oleksiy Ostapenko, Fabrice Normandin, Min Lin, Lucas Caccia, Issam H. Laradji, Irina Rish, Alexandre Lacoste, David Vázquez, Laurent Charlin
Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning. CoRR (2020)
Massimo Caccia, Lucas Caccia, William Fedus, Hugo Larochelle, Joelle Pineau, Laurent Charlin
Language GANs Falling Short. ICLR (2020)
Lucas Caccia, Eugene Belilovsky, Massimo Caccia, Joelle Pineau
Online Learned Continual Compression with Adaptive Quantization Modules. ICML (2020)
Lucas Caccia, Eugene Belilovsky, Massimo Caccia, Joelle Pineau
Online Learned Continual Compression with Stacked Quantization Module. CoRR (2019)
Lucas Caccia, Herke van Hoof, Aaron C. Courville, Joelle Pineau
Deep Generative Modeling of LiDAR Data. IROS (2019)
Rahaf Aljundi, Lucas Caccia, Eugene Belilovsky, Massimo Caccia, Min Lin, Laurent Charlin, Tinne Tuytelaars
Online Continual Learning with Maximally Interfered Retrieval. CoRR (2019)
Pierre Thodoroff, Nishanth Anand, Lucas Caccia, Doina Precup, Joelle Pineau
Recurrent Value Functions. CoRR (2019)
Lucas Caccia, Herke van Hoof, Aaron C. Courville, Joelle Pineau
Deep Generative Modeling of LiDAR Data. CoRR (2018)
Massimo Caccia, Lucas Caccia, William Fedus, Hugo Larochelle, Joelle Pineau, Laurent Charlin
Language GANs Falling Short. CoRR (2018)