Lucas Caccia
Tytuł
Cytowane przez
Cytowane przez
Rok
Language GANs Falling Short
M Caccia*, L Caccia*, W Fedus, H Larochelle, J Pineau, L Charlin
ICLR 2020, 2018
1112018
Online Continual Learning with Maximally Interfered Retrieval
R Aljundi*, L Caccia*, E Belilovsky*, M Caccia*, L Charlin, T Tuytelaars
NeurIPS 2019, 2019
1002019
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
37*2020
Online learned continual compression with Adaptive Quantization Modules
L Caccia, E Belilovsky, M Caccia, J Pineau
ICML 2020, 2019
222019
Deep Generative Modeling of LiDAR Data
L Caccia, H van Hoof, A Courville, J Pineau
IROS 2019, 2018
172018
Clustering-Oriented Representation Learning with Attractive-Repulsive Loss
K Kenyon-Dean, A Cianflone, L Page-Caccia, G Rabusseau, ...
AAAI 2019 Workshop on Network Interpretability for Deep Learning, 2018
82018
Recurrent Value Functions
P Thodoroff, N Anand, L Caccia, D Precup, J Pineau
RLDM 2019, 2019
52019
SPeCiaL: Self-Supervised Pretraining for Continual Learning
L Caccia, J Pineau
arXiv preprint arXiv:2106.09065, 2021
12021
Reducing Representation Drift in Online Continual Learning
L Caccia, R Aljundi, T Tuytelaars, J Pineau, E Belilovsky
arXiv preprint arXiv:2104.05025, 2021
12021
On Anytime Learning at Macroscale
L Caccia, J Xu, M Ott, MA Ranzato, L Denoyer
arXiv preprint arXiv:2106.09563, 2021
2021
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
2021
Nie można teraz wykonać tej operacji. Spróbuj ponownie później.
Prace 1–11