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Meta-Learning

357 directly classified papers

Papers per year

Papers

Class-Discriminative Feature Embedding For Meta-Learning based Few-Shot Classification WACV 2020
Optimizing Millions of Hyperparameters by Implicit Differentiation AISTATS 2020
Discovering Reinforcement Learning Algorithms NIPS 2020
MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler NIPS 2020
MetaLight: Value-Based Meta-Reinforcement Learning for Traffic Signal Control AAAI 2020
CAMPs: Learning Context-Specific Abstractions for Efficient Planning in Factored MDPs CORL 2020
People Do Not Just Plan,They Plan to Plan AAAI 2020
Learning from the Past: Continual Meta-Learning with Bayesian Graph Neural Networks AAAI 2020
Dynamic Memory Induction Networks for Few-Shot Text Classification ACL 2020
Learning to Learn Single Domain Generalization CVPR 2020
Learning Meta Face Recognition in Unseen Domains CVPR 2020
Deep Metric Learning via Adaptive Learnable Assessment CVPR 2020
End-to-End Offline Speech Translation System for IWSLT 2020 using Modality Agnostic Meta-Learning ACL 2020
Diversity Transfer Network for Few-Shot Learning AAAI 2020
Meta-CoTGAN: A Meta Cooperative Training Paradigm for Improving Adversarial Text Generation AAAI 2020
On the Role of Weight Sharing During Deep Option Learning AAAI 2020
Meta-Learning for Generalized Zero-Shot Learning AAAI 2020
Intermediate-Task Transfer Learning with Pretrained Language Models: When and Why Does It Work? ACL 2020
Predicting Performance for Natural Language Processing Tasks ACL 2020
MiLeNAS: Efficient Neural Architecture Search via Mixed-Level Reformulation CVPR 2020
Towards Low-Resource Semi-Supervised Dialogue Generation with Meta-Learning EMNLP 2020
Meta-Neighborhoods NIPS 2020
Learning Compositional Rules via Neural Program Synthesis NIPS 2020
Evolutionary Algorithm Enhanced Neural Architecture Search for Text-Independent Speaker Verification INTERSPEECH 2020
An Investigation of Few-Shot Learning in Spoken Term Classification INTERSPEECH 2020