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03/29/2023
How Efficient Are Today's Continual Learning Algorithms?
Supervised Continual learning involves updating a deep neural network (D...
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03/19/2023
SIESTA: Efficient Online Continual Learning with Sleep
In supervised continual learning, a deep neural network (DNN) is updated...
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03/21/2022
Online Continual Learning for Embedded Devices
Real-time on-device continual learning is needed for new applications su...
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03/11/2022
Can I see an Example? Active Learning the Long Tail of Attributes and Relations
There has been significant progress in creating machine learning models ...
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04/01/2021
Replay in Deep Learning: Current Approaches and Missing Biological Elements
Replay is the reactivation of one or more neural patterns, which are sim...
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03/25/2021
Self-Supervised Training Enhances Online Continual Learning
In continual learning, a system must incrementally learn from a non-stat...
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03/06/2021
Selective Replay Enhances Learning in Online Continual Analogical Reasoning
In continual learning, a system learns from non-stationary data streams ...
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09/10/2020
Improved Robustness to Open Set Inputs via Tempered Mixup
Supervised classification methods often assume that evaluation data is d...
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08/14/2020
RODEO: Replay for Online Object Detection
Humans can incrementally learn to do new visual detection tasks, which i...
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04/28/2020
Do We Need Fully Connected Output Layers in Convolutional Networks?
Traditionally, deep convolutional neural networks consist of a series of...
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10/30/2019
Are Out-of-Distribution Detection Methods Effective on Large-Scale Datasets?
Supervised classification methods often assume the train and test data d...
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10/06/2019
REMIND Your Neural Network to Prevent Catastrophic Forgetting
In lifelong machine learning, a robotic agent must be incrementally upda...
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09/04/2019
Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis
When a robot acquires new information, ideally it would immediately be c...
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09/16/2018
Memory Efficient Experience Replay for Streaming Learning
In supervised machine learning, an agent is typically trained once and t...
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03/27/2018
Compassionately Conservative Balanced Cuts for Image Segmentation
The Normalized Cut (NCut) objective function, widely used in data cluste...
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12/20/2016