Lucas Caccia
Lucas Caccia
Microsoft Research
Verified email at - Homepage
Cited by
Cited by
Online Continual Learning with Maximally Interfered Retrieval
R Aljundi*, L Caccia*, E Belilovsky*, M Caccia*, L Charlin, T Tuytelaars
NeurIPS 2019, 2019
Language GANs Falling Short
M Caccia*, L Caccia*, W Fedus, H Larochelle, J Pineau, L Charlin
ICLR 2020, 2018
New Insights on Reducing Abrupt Representation Change in Online Continual Learning
L Caccia, R Aljundi, N Asadi, T Tuytelaars, J Pineau, E Belilovsky
ICLR 2022, 2021
Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning
M Caccia, P Rodriguez, O Ostapenko, F Normandin, M Lin, L Caccia, ...
NeurIPS 2020, 2020
Online Learned Continual Compression with Adaptive Quantization Modules
L Caccia, E Belilovsky, M Caccia, J Pineau
ICML 2020, 2019
Deep Generative Modeling of LiDAR Data
L Caccia, H van Hoof, A Courville, J Pineau
IROS 2019, 2018
Building a subspace of policies for scalable continual learning
JB Gaya, T Doan, L Caccia, L Soulier, L Denoyer, R Raileanu
ICLR 2023, 2022
On Anytime Learning at Macroscale
L Caccia, J Xu, M Ott, MA Ranzato, L Denoyer
CoLLAs 2022, 2021
Clustering-Oriented Representation Learning with Attractive-Repulsive Loss
K Kenyon-Dean, A Cianflone, L Caccia, G Rabusseau, JCK Cheung, ...
AAAI 2019 Workshop on Network Interpretability for Deep Learning, 2018
SPeCiaL: Self-Supervised Pretraining for Continual Learning
L Caccia, J Pineau
IJCAI 2021, Workshop on Continual Semi-Supervised Learning, Best Paper Award, 2021
Multi-Head Adapter Routing for Cross-Task Generalization
L Page-Caccia, EM Ponti, Z Su, M Pereira, N Le Roux, A Sordoni
NeurIPS 2023, 2023
Re-Weighted Softmax Cross-Entropy to Control Forgetting in Federated Learning
G Legate, L Caccia, E Belilovsky
CoLLAs 2023, 2022
Decoupled greedy learning of cnns for synchronous and asynchronous distributed learning
E Belilovsky, L Leconte, L Caccia, M Eickenberg, E Oyallon
arXiv preprint arXiv:2106.06401, 2021
Guiding The Last Layer in Federated Learning with Pre-Trained Models
G Legate, N Bernier, L Caccia, E Oyallon, E Belilovsky
NeurIPS 2023, 2023
Recurrent Value Functions
P Thodoroff, N Anand, L Caccia, D Precup, J Pineau
RLDM 2019, 2019
A Case Study of Instruction Tuning with Mixture of Parameter-Efficient Experts
O Ostapenko, L Caccia, Z Su, N Le Roux, L Charlin, A Sordoni
NeurIPS 2023 Workshop on Instruction Tuning and Instruction Following, 2023
Guiding language model reasoning with planning tokens
X Wang, L Caccia, O Ostapenko, X Yuan, A Sordoni
arXiv preprint arXiv:2310.05707, 2023
Towards Modular LLMs by Building and Reusing a Library of LoRAs
O Ostapenko*, Z Su*, EM Ponti, L Charlin, NL Roux, M Pereira, L Caccia*, ...
ICML 2024, 2024
Preventing Forgetting and Promoting Transfer in Continual Learning
L Pagé-Caccia
McGill University, 2024
Generative Modeling of Individual Behavior at Scale
N Omi, L Caccia, S Sen, A Sarkar, JT Ash
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Articles 1–20