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Learning Paradigms

2,054 papers (7 classified directly here)

Subtopics

Meta-Learning (973) Federated Learning (894) Curriculum Learning (202)

Papers per year

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Papers (including subtopics)

Residual Neural Processes AAAI 2020
Practical Federated Gradient Boosting Decision Trees AAAI 2020
Learning to Auto Weight: Entirely Data-Driven and Highly Efficient Weighting Framework AAAI 2020
Attribute Propagation Network for Graph Zero-Shot Learning AAAI 2020
Stochastic Loss Function AAAI 2020
Learning from the Past: Continual Meta-Learning with Bayesian Graph Neural Networks AAAI 2020
How Should an Agent Practice? AAAI 2020
On the Role of Weight Sharing During Deep Option Learning AAAI 2020
Meta-Learning for Generalized Zero-Shot Learning AAAI 2020
M-NAS: Meta Neural Architecture Search AAAI 2020
Federated Latent Dirichlet Allocation: A Local Differential Privacy Based Framework AAAI 2020
Meta-Amortized Variational Inference and Learning AAAI 2020
From Few to More: Large-Scale Dynamic Multiagent Curriculum Learning AAAI 2020
Learning from Easy to Complex: Adaptive Multi-Curricula Learning for Neural Dialogue Generation AAAI 2020
Fine-Tuning by Curriculum Learning for Non-Autoregressive Neural Machine Translation AAAI 2020
Learning to Learn Morphological Inflection for Resource-Poor Languages AAAI 2020
Neural Semantic Parsing in Low-Resource Settings with Back-Translation and Meta-Learning AAAI 2020
Enhanced Meta-Learning for Cross-Lingual Named Entity Recognition with Minimal Resources AAAI 2020
Meta-CoTGAN: A Meta Cooperative Training Paradigm for Improving Adversarial Text Generation AAAI 2020
Diversity Transfer Network for Few-Shot Learning AAAI 2020
Constructing Multiple Tasks for Augmentation: Improving Neural Image Classification with K-Means Features AAAI 2020
Learning Meta Model for Zero- and Few-Shot Face Anti-Spoofing AAAI 2020
Regularized Fine-Grained Meta Face Anti-Spoofing AAAI 2020
Differentiable Meta-Learning Model for Few-Shot Semantic Segmentation AAAI 2020
FedVision: An Online Visual Object Detection Platform Powered by Federated Learning AAAI 2020