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Meta-Learning

1,529 papers

Papers per year

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Papers

Learning to learn generative programs with Memoised Wake-Sleep UAI 2020
OCEAN: Online Task Inference for Compositional Tasks with Context Adaptation UAI 2020
Few-Shot Scene Adaptive Crowd Counting Using Meta-Learning WACV 2020
GradMix: Multi-source Transfer across Domains and Tasks WACV 2020
Uncertainty in Model-Agnostic Meta-Learning using Variational Inference WACV 2020
Learning to Propagate for Graph Meta-Learning NIPS 2019
Hyperspherical Prototype Networks NIPS 2019
Meta-Learning with Implicit Gradients NIPS 2019
Discovery of Useful Questions as Auxiliary Tasks NIPS 2019
Fast and Flexible Multi-Task Classification using Conditional Neural Adaptive Processes NIPS 2019
Metalearned Neural Memory NIPS 2019
SMILe: Scalable Meta Inverse Reinforcement Learning through Context-Conditional Policies NIPS 2019
Meta-Inverse Reinforcement Learning with Probabilistic Context Variables NIPS 2019
Modelling the Dynamics of Multiagent Q-Learning in Repeated Symmetric Games: a Mean Field Theoretic Approach NIPS 2019
Meta-Curvature NIPS 2019
Neural Jump Stochastic Differential Equations NIPS 2019
Learning to Learn By Self-Critique NIPS 2019
Hyperparameter Learning via Distributional Transfer NIPS 2019
Efficient Forward Architecture Search NIPS 2019
Meta Learning with Relational Information for Short Sequences NIPS 2019
Reconciling meta-learning and continual learning with online mixtures of tasks NIPS 2019
Efficient Meta Learning via Minibatch Proximal Update NIPS 2019
Self-Supervised Generalisation with Meta Auxiliary Learning NIPS 2019
ODE2VAE: Deep generative second order ODEs with Bayesian neural networks NIPS 2019
Recovering Bandits NIPS 2019