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Showing 1–37 of 37 papers

TitleStatusHype
Generative replay with feedback connections as a general strategy for continual learningCode2
Three scenarios for continual learningCode2
Bayesian continual learning and forgetting in neural networksCode1
Improving and Understanding Variational Continual LearningCode1
CKConv: Continuous Kernel Convolution For Sequential DataCode1
The CLEAR Benchmark: Continual LEArning on Real-World ImageryCode1
HiPPO: Recurrent Memory with Optimal Polynomial ProjectionsCode1
Differentiable Hebbian Consolidation for Continual Learning—0
Differentiable Hebbian Plasticity for Continual Learning—0
Discriminative Variational Autoencoder for Continual Learning with Generative Replay—0
Attention-Based Structural-Plasticity—0
Enabling Continual Learning with Differentiable Hebbian Plasticity—0
Exploiting Task Relationships for Continual Learning Using Transferability-Aware Task Embeddings—0
Autoencoder-based Initialization for Recurrent Neural Networks with a Linear Memory—0
Increasing Depth of Neural Networks for Life-long Learning—0
Interactions between Representation Learning and Supervision—0
Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting—0
Lifelong Learning with Sketched Structural Regularization—0
Bayesian Metaplasticity from Synaptic Uncertainty—0
Multilayer Neuromodulated Architectures for Memory-Constrained Online Continual Learning—0
Online Structured Laplace Approximations For Overcoming Catastrophic Forgetting—0
Overcoming the vanishing gradient problem in plain recurrent networks—0
Overcoming Catastrophic Interference using Conceptor-Aided Backpropagation—0
Preserving Plasticity in Continual Learning with Adaptive Linearity Injection—0
Continual Learning via Explicit Structure Learning—0
Three continual learning scenarios and a case for generative replay—0
Analysis of Catastrophic Forgetting for Random Orthogonal Transformation Tasks in the Overparameterized Regime—0
Continual Learning with Extended Kronecker-factored Approximate Curvature—0
Continual Learning with Memory Cascades—0
Tunable Efficient Unitary Neural Networks (EUNN) and their application to RNNsCode0
Artificial Neuronal Ensembles with Learned Context Dependent GatingCode0
Disentangling and Mitigating the Impact of Task Similarity for Continual LearningCode0
IGLOO: Slicing the Features Space to Represent SequencesCode0
Low-rank passthrough neural networksCode0
Mixture-of-Variational-Experts for Continual LearningCode0
Shared and Private VAEs with Generative Replay for Continual LearningCode0
Short-Term Memory Optimization in Recurrent Neural Networks by Autoencoder-based InitializationCode0
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