Takip et
Lucas Caccia
Lucas Caccia
Microsoft Research
microsoft.com üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Online Continual Learning with Maximally Interfered Retrieval
R Aljundi*, L Caccia*, E Belilovsky*, M Caccia*, L Charlin, T Tuytelaars
NeurIPS 2019, 2019
6312019
Language GANs Falling Short
M Caccia*, L Caccia*, W Fedus, H Larochelle, J Pineau, L Charlin
ICLR 2020, 2018
2512018
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
2272021
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
163*2020
Online Learned Continual Compression with Adaptive Quantization Modules
L Caccia, E Belilovsky, M Caccia, J Pineau
ICML 2020, 2019
1012019
Deep Generative Modeling of LiDAR Data
L Caccia, H van Hoof, A Courville, J Pineau
IROS 2019, 2018
82*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
322022
On Anytime Learning at Macroscale
L Caccia, J Xu, M Ott, MA Ranzato, L Denoyer
CoLLAs 2022, 2021
232021
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
192024
Multi-Head Adapter Routing for Cross-Task Generalization
L Caccia, EM Ponti, Z Su, M Pereira, N Le Roux, A Sordoni
NeurIPS 2023, 2023
19*2023
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
192018
SPeCiaL: Self-Supervised Pretraining for Continual Learning
L Caccia, J Pineau
IJCAI 2021, Workshop on Continual Semi-Supervised Learning, Best Paper Award, 2021
172021
Re-Weighted Softmax Cross-Entropy to Control Forgetting in Federated Learning
G Legate, L Caccia, E Belilovsky
CoLLAs 2023, 2022
132022
A survey on model MoErging: Recycling and routing among specialized experts for collaborative learning
P Yadav, C Raffel, M Muqeeth, L Caccia, H Liu, T Chen, M Bansal, ...
arXiv preprint arXiv:2408.07057, 2024
122024
Guiding The Last Layer in Federated Learning with Pre-Trained Models
G Legate, N Bernier, L Caccia, E Oyallon, E Belilovsky
NeurIPS 2023, 2023
122023
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
112021
Guiding language model reasoning with planning tokens
X Wang, L Caccia, O Ostapenko, X Yuan, A Sordoni
COLM 2024, 2023
82023
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
72023
Recurrent Value Functions
P Thodoroff, N Anand, L Caccia, D Precup, J Pineau
RLDM 2019, 2019
52019
Generative Modeling of Individual Behavior at Scale
N Omi, L Caccia, A Sarkar, JT Ash, S Sen
2024
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Makaleler 1–20