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08/23/2023
Overcoming General Knowledge Loss with Selective Parameter Finetuning
Foundation models encompass an extensive knowledge base and offer remark...
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03/26/2023
Prototype-Sample Relation Distillation: Towards Replay-Free Continual Learning
In Continual learning (CL) balancing effective adaptation while combatin...
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03/23/2023
First Session Adaptation: A Strong Replay-Free Baseline for Class-Incremental Learning
In Class-Incremental Learning (CIL) an image classification system is ex...
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03/23/2023
Calibrated Out-of-Distribution Detection with a Generic Representation
Out-of-distribution detection is a common issue in deploying vision mode...
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10/10/2022
A Simple Baseline that Questions the Use of Pretrained-Models in Continual Learning
With the success of pretraining techniques in representation learning, a...
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03/24/2022
Probing Representation Forgetting in Supervised and Unsupervised Continual Learning
Continual Learning research typically focuses on tackling the phenomenon...
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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...
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10/04/2021
Seeking Similarities over Differences: Similarity-based Domain Alignment for Adaptive Object Detection
In order to robustly deploy object detectors across a wide range of scen...
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06/24/2021
Continual Novelty Detection
Novelty Detection methods identify samples that are not representative o...
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04/11/2021
Reducing Representation Drift in Online Continual Learning
We study the online continual learning paradigm, where agents must learn...
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10/14/2020
Identifying Wrongly Predicted Samples: A Method for Active Learning
State-of-the-art machine learning models require access to significant a...
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10/07/2019
Continual Learning in Neural Networks
Artificial neural networks have exceeded human-level performance in acco...
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09/18/2019
Continual learning: A comparative study on how to defy forgetting in classification tasks
Artificial neural networks thrive in solving the classification problem ...
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08/11/2019
Online Continual Learning with Maximally Interfered Retrieval
Continual learning, the setting where a learning agent is faced with a n...
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03/20/2019
Online continual learning with no task boundaries
Continual learning is the ability of an agent to learn online with a non...
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12/26/2018
Exploring the Challenges towards Lifelong Fact Learning
So far life-long learning (LLL) has been studied in relatively small-sca...
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12/10/2018
Task-Free Continual Learning
Methods proposed in the literature towards continual deep learning typic...
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06/14/2018
Selfless Sequential Learning
Sequential learning studies the problem of learning tasks in a sequence ...
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11/27/2017
Memory Aware Synapses: Learning what (not) to forget
Humans can learn in a continuous manner. Old rarely utilized knowledge c...
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04/06/2017
Encoder Based Lifelong Learning
This paper introduces a new lifelong learning solution where a single mo...
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11/28/2016
Who's that Actor? Automatic Labelling of Actors in TV series starting from IMDB Images
In this work, we aim at automatically labeling actors in a TV series. Ra...
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11/18/2016
Expert Gate: Lifelong Learning with a Network of Experts
In this paper we introduce a model of lifelong learning, based on a Netw...
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03/23/2016