Lucas Caccia

According to our database1, Lucas Caccia authored at least 14 papers between 2018 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2021
On Anytime Learning at Macroscale.
CoRR, 2021

SPeCiaL: Self-Supervised Pretraining for Continual Learning.
CoRR, 2021

Decoupled Greedy Learning of CNNs for Synchronous and Asynchronous Distributed Learning.
CoRR, 2021

Reducing Representation Drift in Online Continual Learning.
CoRR, 2021

2020
Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning.
CoRR, 2020

Online Fast Adaptation and Knowledge Accumulation (OSAKA): a New Approach to Continual Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Online Learned Continual Compression with Adaptive Quantization Modules.
Proceedings of the 37th International Conference on Machine Learning, 2020

Language GANs Falling Short.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Online Learned Continual Compression with Stacked Quantization Module.
CoRR, 2019

Online Continual Learning with Maximally Interfered Retrieval.
CoRR, 2019

Recurrent Value Functions.
CoRR, 2019

Online Continual Learning with Maximal Interfered Retrieval.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Deep Generative Modeling of LiDAR Data.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

2018
Clustering-Oriented Representation Learning with Attractive-Repulsive Loss.
CoRR, 2018


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