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Showing 1–28 of 28 papers

TitleStatusHype
A Neural Network Model of Complementary Learning Systems: Pattern Separation and Completion for Continual Learning—0
Task-conditioned Ensemble of Expert Models for Continuous LearningCode0
On Sequential Loss Approximation for Continual LearningCode0
Active Dendrites Enable Efficient Continual Learning in Time-To-First-Spike Neural Networks—0
Hard ASH: Sparsity and the right optimizer make a continual learner—0
Automating Continual LearningCode1
Negotiated Representations to Prevent Forgetting in Machine Learning ApplicationsCode0
Elephant Neural Networks: Born to Be a Continual Learner—0
Towards Robust Continual Learning with Bayesian Adaptive Moment Regularization—0
Improving Performance in Continual Learning Tasks using Bio-Inspired Architectures—0
Bio-Inspired, Task-Free Continual Learning through Activity Regularization—0
Mixture-of-Variational-Experts for Continual LearningCode0
Dendritic Self-Organizing Maps for Continual Learning—0
Task-agnostic Continual Learning with Hybrid Probabilistic Models—0
Continual Competitive Memory: A Neural System for Online Task-Free Lifelong Learning—0
Self-Attention Meta-Learner for Continual LearningCode1
Learning Invariant Representation for Continual LearningCode1
Conditional Input Gated Low-Rank Perturbations for Continual Learning—0
Neuromodulated Neural Architectures with Local Error Signals for Memory-Constrained Online Continual Learning—0
SpaceNet: Make Free Space For Continual LearningCode0
Enabling Continual Learning with Differentiable Hebbian Plasticity—0
Multilayer Neuromodulated Architectures for Memory-Constrained Online Continual Learning—0
Reducing catastrophic forgetting with learning on synthetic data—0
Discriminative Variational Autoencoder for Continual Learning with Generative Replay—0
Differentiable Hebbian Consolidation for Continual Learning—0
Differentiable Hebbian Plasticity for Continual Learning—0
Improving and Understanding Variational Continual LearningCode1
Attention-Based Structural-Plasticity—0
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