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Conference and Workshop Papers
- 2024
[c13]Oleksiy Ostapenko, Zhan Su, Edoardo M. Ponti, Laurent Charlin, Nicolas Le Roux, Lucas Caccia, Alessandro Sordoni:
Towards Modular LLMs by Building and Reusing a Library of LoRAs. ICML 2024- 2023
- [c12]Gwen Legate, Lucas Caccia, Eugene Belilovsky:
Re-Weighted Softmax Cross-Entropy to Control Forgetting in Federated Learning. CoLLAs 2023: 764-780 - [c11]Jean-Baptiste Gaya, Thang Doan, Lucas Caccia, Laure Soulier, Ludovic Denoyer, Roberta Raileanu:
Building a Subspace of Policies for Scalable Continual Learning. ICLR 2023 - [c10]Gwen Legate, Nicolas Bernier, Lucas Page-Caccia, Edouard Oyallon, Eugene Belilovsky:
Guiding The Last Layer in Federated Learning with Pre-Trained Models. NeurIPS 2023 - [c9]Lucas Page-Caccia, Edoardo Maria Ponti, Zhan Su, Matheus Pereira, Nicolas Le Roux, Alessandro Sordoni:
Multi-Head Adapter Routing for Cross-Task Generalization. NeurIPS 2023 - 2022
- [c8]Lucas Caccia, Jing Xu, Myle Ott, Marc'Aurelio Ranzato, Ludovic Denoyer:
On Anytime Learning at Macroscale. CoLLAs 2022: 165-182 - [c7]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 - 2021
- [c6]Lucas Caccia, Joelle Pineau:
SPeCiaL: Self-supervised Pretraining for Continual Learning. CSSL 2021: 91-103 - 2020
- [c5]Massimo Caccia, Lucas Caccia, William Fedus, Hugo Larochelle, Joelle Pineau, Laurent Charlin:
Language GANs Falling Short. ICLR 2020 - [c4]Lucas Caccia, Eugene Belilovsky, Massimo Caccia, Joelle Pineau:
Online Learned Continual Compression with Adaptive Quantization Modules. ICML 2020: 1240-1250 - [c3]Massimo Caccia, Pau Rodríguez, Oleksiy Ostapenko, Fabrice Normandin, Min Lin, Lucas Page-Caccia, Issam Hadj Laradji, Irina Rish, Alexandre Lacoste, David Vázquez, Laurent Charlin:
Online Fast Adaptation and Knowledge Accumulation (OSAKA): a New Approach to Continual Learning. NeurIPS 2020 - 2019
- [c2]Lucas Caccia, Herke van Hoof, Aaron C. Courville, Joelle Pineau:
Deep Generative Modeling of LiDAR Data. IROS 2019: 5034-5040 - [c1]Rahaf Aljundi, Eugene Belilovsky, Tinne Tuytelaars, Laurent Charlin, Massimo Caccia, Min Lin, Lucas Page-Caccia:
Online Continual Learning with Maximal Interfered Retrieval. NeurIPS 2019: 11849-11860
Informal and Other Publications
- 2024
- [i18]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 abs/2405.11157 (2024) - [i17]Prateek Yadav, Colin Raffel, Mohammed Muqeeth, Lucas Caccia, Haokun Liu, Tianlong Chen, Mohit Bansal, Leshem Choshen, Alessandro Sordoni:
A Survey on Model MoErging: Recycling and Routing Among Specialized Experts for Collaborative Learning. CoRR abs/2408.07057 (2024) - 2023
- [i16]Gwen Legate, Lucas Caccia, Eugene Belilovsky:
Re-Weighted Softmax Cross-Entropy to Control Forgetting in Federated Learning. CoRR abs/2304.05260 (2023) - [i15]Gwen Legate, Nicolas Bernier, Lucas Caccia, Edouard Oyallon, Eugene Belilovsky:
Guiding The Last Layer in Federated Learning with Pre-Trained Models. CoRR abs/2306.03937 (2023) - [i14]Xinyi Wang, Lucas Caccia, Oleksiy Ostapenko, Xingdi Yuan, Alessandro Sordoni:
Guiding Language Model Reasoning with Planning Tokens. CoRR abs/2310.05707 (2023) - 2022
- [i13]Lucas Caccia, Edoardo Maria Ponti, Lucas Liu, Matheus Pereira, Nicolas Le Roux, Alessandro Sordoni:
Multi-Head Adapter Routing for Data-Efficient Fine-Tuning. CoRR abs/2211.03831 (2022) - [i12]Jean-Baptiste Gaya, Thang Doan, Lucas Caccia, Laure Soulier, Ludovic Denoyer, Roberta Raileanu:
Building a Subspace of Policies for Scalable Continual Learning. CoRR abs/2211.10445 (2022) - 2021
- [i11]Lucas Caccia, Rahaf Aljundi, Tinne Tuytelaars, Joelle Pineau, Eugene Belilovsky:
Reducing Representation Drift in Online Continual Learning. CoRR abs/2104.05025 (2021) - [i10]Eugene Belilovsky, Louis Leconte, Lucas Caccia, Michael Eickenberg, Edouard Oyallon:
Decoupled Greedy Learning of CNNs for Synchronous and Asynchronous Distributed Learning. CoRR abs/2106.06401 (2021) - [i9]Lucas Caccia, Joelle Pineau:
SPeCiaL: Self-Supervised Pretraining for Continual Learning. CoRR abs/2106.09065 (2021) - [i8]Lucas Caccia, Jing Xu, Myle Ott, Marc'Aurelio Ranzato, Ludovic Denoyer:
On Anytime Learning at Macroscale. CoRR abs/2106.09563 (2021) - 2020
- [i7]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 abs/2003.05856 (2020) - 2019
- [i6]Pierre Thodoroff, Nishanth Anand, Lucas Caccia, Doina Precup, Joelle Pineau:
Recurrent Value Functions. CoRR abs/1905.09562 (2019) - [i5]Rahaf Aljundi, Lucas Caccia, Eugene Belilovsky, Massimo Caccia, Min Lin, Laurent Charlin, Tinne Tuytelaars:
Online Continual Learning with Maximally Interfered Retrieval. CoRR abs/1908.04742 (2019) - [i4]Lucas Caccia, Eugene Belilovsky, Massimo Caccia, Joelle Pineau:
Online Learned Continual Compression with Stacked Quantization Module. CoRR abs/1911.08019 (2019) - 2018
- [i3]Massimo Caccia, Lucas Caccia, William Fedus, Hugo Larochelle, Joelle Pineau, Laurent Charlin:
Language GANs Falling Short. CoRR abs/1811.02549 (2018) - [i2]Lucas Caccia, Herke van Hoof, Aaron C. Courville, Joelle Pineau:
Deep Generative Modeling of LiDAR Data. CoRR abs/1812.01180 (2018) - [i1]Kian Kenyon-Dean, Andre Cianflone, Lucas Page-Caccia, Guillaume Rabusseau, Jackie Chi Kit Cheung, Doina Precup:
Clustering-Oriented Representation Learning with Attractive-Repulsive Loss. CoRR abs/1812.07627 (2018)
Coauthor Index
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