Lucas Caccia | DeepAI

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∙ 06/06/2023

Guiding The Last Layer in Federated Learning with Pre-Trained Models

Federated Learning (FL) is an emerging paradigm that allows a model to b...

0 Gwen Legate, et al. ∙

∙ 04/11/2023

Re-Weighted Softmax Cross-Entropy to Control Forgetting in Federated Learning

In Federated Learning, a global model is learned by aggregating model up...

0 Gwen Legate, et al. ∙

∙ 11/18/2022

Building a Subspace of Policies for Scalable Continual Learning

The ability to continuously acquire new knowledge and skills is crucial ...

0 Jean-Baptiste Gaya, et al. ∙

∙ 11/07/2022

Multi-Head Adapter Routing for Data-Efficient Fine-Tuning

Parameter-efficient fine-tuning (PEFT) methods can adapt large language ...

0 Lucas Caccia, et al. ∙

∙ 03/08/2022

New Insights on Reducing Abrupt Representation Change in Online Continual Learning

In the online continual learning paradigm, agents must learn from a chan...

3 Lucas Caccia, et al. ∙

∙ 06/17/2021

On Anytime Learning at Macroscale

Classical machine learning frameworks assume access to a possibly large ...

1 Lucas Caccia, et al. ∙

∙ 06/16/2021

SPeCiaL: Self-Supervised Pretraining for Continual Learning

This paper presents SPeCiaL: a method for unsupervised pretraining of re...

8 Lucas Caccia, et al. ∙

∙ 06/11/2021

Decoupled Greedy Learning of CNNs for Synchronous and Asynchronous Distributed Learning

A commonly cited inefficiency of neural network training using back-prop...

0 Eugene Belilovsky, et al. ∙

∙ 04/11/2021

Reducing Representation Drift in Online Continual Learning

We study the online continual learning paradigm, where agents must learn...

0 Lucas Caccia, et al. ∙

∙ 03/12/2020

Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning

Learning from non-stationary data remains a great challenge for machine ...

26 Massimo Caccia, et al. ∙

∙ 11/19/2019

Online Learned Continual Compression with Stacked Quantization Module

We introduce and study the problem of Online Continual Compression, wher...

12 Lucas Caccia, et al. ∙

∙ 08/11/2019

Online Continual Learning with Maximally Interfered Retrieval

Continual learning, the setting where a learning agent is faced with a n...

4 Rahaf Aljundi, et al. ∙

∙ 05/23/2019

Recurrent Value Functions

Despite recent successes in Reinforcement Learning, value-based methods ...

0 Pierre Thodoroff, et al. ∙

∙ 12/04/2018

Deep Generative Modeling of LiDAR Data

Building models capable of generating structured output is a key challen...

1 Lucas Caccia, et al. ∙

∙ 11/06/2018

Language GANs Falling Short

Generating high-quality text with sufficient diversity is essential for ...

1 Massimo Caccia, et al. ∙

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