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Meta-Learning

722 directly classified papers

Papers per year

Papers

Boosting Few-Shot Learning With Adaptive Margin Loss CVPR 2020
Self-Supervised Meta-Learning for Few-Shot Natural Language Classification Tasks EMNLP 2020
Meta Fine-Tuning Neural Language Models for Multi-Domain Text Mining EMNLP 2020
Learning to Learn to Disambiguate: Meta-Learning for Few-Shot Word Sense Disambiguation EMNLP 2020
A Closer Look at the Training Strategy for Modern Meta-Learning NIPS 2020
Robust Meta-learning for Mixed Linear Regression with Small Batches NIPS 2020
Graph Meta Learning via Local Subgraphs NIPS 2020
Bootstrapping neural processes NIPS 2020
Online Structured Meta-learning NIPS 2020
Neural Complexity Measures NIPS 2020
MetaSDF: Meta-Learning Signed Distance Functions NIPS 2020
Make One-Shot Video Object Segmentation Efficient Again NIPS 2020
Convergence of Meta-Learning with Task-Specific Adaptation over Partial Parameters NIPS 2020
MATE: Plugging in Model Awareness to Task Embedding for Meta Learning NIPS 2020
Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels NIPS 2020
A meta-learning approach to (re)discover plasticity rules that carve a desired function into a neural network NIPS 2020
Node Classification on Graphs with Few-Shot Novel Labels via Meta Transformed Network Embedding NIPS 2020
Few-shot Visual Reasoning with Meta-Analogical Contrastive Learning NIPS 2020
Continuous Meta-Learning without Tasks NIPS 2020
Meta-trained agents implement Bayes-optimal agents NIPS 2020
Task-Robust Model-Agnostic Meta-Learning NIPS 2020
A Sample Complexity Separation between Non-Convex and Convex Meta-Learning ICML 2020
Understanding the Power and Limitations of Teaching with Imperfect Knowledge IJCAI 2020
Bayesian Functional Optimisation with Shape Prior AAAI 2019
MetaStyle: Three-Way Trade-off among Speed, Flexibility, and Quality in Neural Style Transfer AAAI 2019