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Meta-Learning

973 papers

Papers per year

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Papers

Incremental Few-Shot Object Detection CVPR 2020
Boosting Few-Shot Learning With Adaptive Margin Loss CVPR 2020
Learning to Learn Cropping Models for Different Aspect Ratio Requirements 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
Few-Shot Complex Knowledge Base Question Answering via Meta Reinforcement Learning EMNLP 2020
Towards Low-Resource Semi-Supervised Dialogue Generation with Meta-Learning EMNLP 2020
Learning to Learn to Disambiguate: Meta-Learning for Few-Shot Word Sense Disambiguation EMNLP 2020
Multigrid Neural Memory ICML 2020
Meta-Learning with Shared Amortized Variational Inference ICML 2020
Neural Architecture Search in A Proxy Validation Loss Landscape ICML 2020
Kinematic State Abstraction and Provably Efficient Rich-Observation Reinforcement Learning ICML 2020
AutoML-Zero: Evolving Machine Learning Algorithms From Scratch ICML 2020
A Sample Complexity Separation between Non-Convex and Convex Meta-Learning ICML 2020
Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data ICML 2020
Enhanced POET: Open-ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions ICML 2020
Optimizing Data Usage via Differentiable Rewards ICML 2020
Learning to Learn Kernels with Variational Random Features ICML 2020
What Can Learned Intrinsic Rewards Capture? ICML 2020
Self-Supervised Tuning for Few-Shot Segmentation IJCAI 2020
Graph Neural Architecture Search IJCAI 2020
Complete Bottom-Up Predicate Invention in Meta-Interpretive Learning IJCAI 2020
Intent Preference Decoupling for User Representation on Online Recommender System IJCAI 2020
Understanding the Power and Limitations of Teaching with Imperfect Knowledge IJCAI 2020
Consistent MetaReg: Alleviating Intra-task Discrepancy for Better Meta-knowledge IJCAI 2020