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Papers

Showing 1–37 of 37 papers

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