Catastrophic Forgetting, Rehearsal and Pseudorehearsal

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Do CoNLL-2003 Named Entity Taggers Still Work Well in 2023?

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Alleviating Representational Shift for Continual Fine-tuning

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Multi-objective Learning to Overcome Catastrophic Forgetting in Time-series Applications

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Distillation Techniques for Pseudo-rehearsal Based Incremental LearningPreprint

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Analyzing the Forgetting Problem in the Pretrain-Finetuning of Dialogue Response ModelsPreprint

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Scalable Recollections for Continual Lifelong Learning

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Imbalance Mitigation for Continual Learning via Knowledge Decoupling and Dual Enhanced Contrastive Learning

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Segmentation of cortical bone, trabecular bone, and medullary pores from micro‐ CT images using 2D and 3D deep learning models

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The effect of depth data and upper limb impairment on lightweight monocular RGB human pose estimation models

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Insights from the Future for Continual Learning

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Self-Distillation Dual-Memory Online Hashing with Hash Centers for Streaming Data Retrieval

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Instant Continual Learning of Neural Radiance Fields

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DeepVenom: Persistent DNN Backdoors Exploiting Transient Weight Perturbations in Memories

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Transfer learning techniques for cross-domain analysis of posts in massive educational forums

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Dream Net: a privacy preserving continual leaming model for face emotion recognition

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Using Knowledge to Speed Learning: A Comparison of Knowledge-based Cascade-correlation and Multi-task Learning

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Implications of resource limitations for a conscious machine

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Sequential learning in distributed neural networks without catastrophic forgetting: A single and realistic self-refreshing memory can do it.

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Locally Weighted Regression Pseudo-Rehearsal for Online Learning of Vehicle DynamicsPreprint

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Prototype Reminding for Continual Learning.Preprint

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Variational Prototype Replays for Continual LearningPreprint

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Continual Learning: Tackling Catastrophic Forgetting in Deep Neural Networks with Replay ProcessesPreprint

Lesort, T. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2007.00487 · Cited by 31

Storing Encoded Episodes as Concepts for Continual LearningPreprint

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Gradient Episodic Memory with a Soft Constraint for Continual LearningPreprint

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Defense without Forgetting: Continual Adversarial Defense with Anisotropic & Isotropic Pseudo Replay

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Digital Twin Aided Compressive Sensing: Enabling Sitespecific MIMO Hybrid Precoding

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HERALD: A Hybrid distributEd leaRning incrementAL & feDerated solution for knowledge distillation in COVID-19 classification

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Continual adaptation of federated reservoirs in pervasive environments

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Continual Learning for Personalized Co-Speech Gesture Generation

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Tangent Model Composition for Ensembling and Continual Fine-tuning

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CLR: Channel-wise Lightweight Reprogramming for Continual Learning

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Cross-Subject Lifelong Learning for Continuous Estimation From Surface Electromyographic Signal

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Continual Reinforcement Learning with Multi-Timescale ReplayPreprint

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Continual Learning-Based MIMO Channel Estimation: A Benchmarking Study

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Locally Weighted Regression Pseudo-Rehearsal for Adaptive Model Predictive Control

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Pseudo-Rehearsal for Continual Learning with Normalizing FlowsPreprint

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Continual Learning with Deep Artificial NeuronsPreprint

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Continual learning in sensor-based human activity recognition with dynamic mixture of experts

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A Benchmark and Empirical Analysis for Replay Strategies in Continual Learning

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Incremental Detection of Hyperspectral Targets in Consistent Scenes With Continuous Learning

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Exemplar-Supported Representation for Effective Class-Incremental Learning

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Comparative Analysis of Catastrophic Forgetting in Metric Learning

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Incremental Learning of Object Detector with Limited Training Data

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Utilizing incremental branches on a one-stage object detection framework to avoid catastrophic forgetting

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Efficient, continual, and generalized learning in the brain – neural mechanism of Mental Schema 2.0 –

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L3DMC: Lifelong Learning Using Distillation via Mixed-Curvature Space

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Universal adversarial perturbations for multiple classification tasks with quantum classifiers

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Uncertainty-aware enhanced dark experience replay for continual learning

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Consolidation Using Context-Sensitive Multiple Task Learning

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Buttoning Task with a Dual-Arm Robot: An Exploratory Study on a Marker-based Algorithmic Method and Marker-less Machine Learning Methods

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Preempting Catastrophic Forgetting in Continual Learning Models by Anticipatory Regularization

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Never Forget: Balancing Exploration and Exploitation via Learning Optical FlowPreprint

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On Catastrophic Interference in Atari 2600 GamesPreprint

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A general approach to progressive learningPreprint

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Automatic Recall Machines: Internal Replay, Continual Learning and the BrainPreprint

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