Massimo Caccia | DeepAI

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∙ 04/25/2023

Towards Compute-Optimal Transfer Learning

The field of transfer learning is undergoing a significant shift with th...

0 Massimo Caccia, et al. ∙

∙ 05/28/2022

Task-Agnostic Continual Reinforcement Learning: In Praise of a Simple Baseline

We study task-agnostic continual reinforcement learning (TACRL) in which...

11 Massimo Caccia, et al. ∙

∙ 11/15/2021

Continual Learning via Local Module Composition

Modularity is a compelling solution to continual learning (CL), the prob...

5 Oleksiy Ostapenko, et al. ∙

∙ 10/27/2021

Learning where to learn: Gradient sparsity in meta and continual learning

Finding neural network weights that generalize well from small datasets ...

17 Johannes von Oswald, et al. ∙

∙ 08/02/2021

Sequoia: A Software Framework to Unify Continual Learning Research

The field of Continual Learning (CL) seeks to develop algorithms that ac...

12 Fabrice Normandin, et al. ∙

∙ 04/04/2021

Understanding Continual Learning Settings with Data Distribution Drift Analysis

Classical machine learning algorithms often assume that the data are dra...

18 Timothée Lesort, et al. ∙

∙ 03/18/2021

Beyond Trivial Counterfactual Explanations with Diverse Valuable Explanations

Explainability for machine learning models has gained considerable atten...

26 Pau Rodríguez, et al. ∙

∙ 09/14/2020

Synbols: Probing Learning Algorithms with Synthetic Datasets

Progress in the field of machine learning has been fueled by the introdu...

58 Alexandre Lacoste, et al. ∙

∙ 09/14/2020

CVPR 2020 Continual Learning in Computer Vision Competition: Approaches, Results, Current Challenges and Future Directions

In the last few years, we have witnessed a renewed and fast-growing inte...

75 Vincenzo Lomonaco, 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. ∙

∙ 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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