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Meta-Learning

1524 directly classified papers

Papers per year

Papers

A Generic First-Order Algorithmic Framework for Bi-Level Programming Beyond Lower-Level Singleton ICML 2020
On the Iteration Complexity of Hypergradient Computation ICML 2020
Diversity Transfer Network for Few-Shot Learning AAAI 2020
Meta-CoTGAN: A Meta Cooperative Training Paradigm for Improving Adversarial Text Generation AAAI 2020
Meta-learning for Mixed Linear Regression ICML 2020
Graph-Guided Architecture Search for Real-Time Semantic Segmentation CVPR 2020
Variational Metric Scaling for Metric-Based Meta-Learning AAAI 2020
What Can Learned Intrinsic Rewards Capture? ICML 2020
Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels NIPS 2020
Meta-Information Guided Meta-Learning for Few-Shot Relation Classification COLING 2020
Meta-Learning for Few-Shot NMT Adaptation ACL 2020
Learning Efficient Task-Specific Meta-Embeddings with Word Prisms COLING 2020
Learn to Cross-lingual Transfer with Meta Graph Learning Across Heterogeneous Languages EMNLP 2020
Dialogue Generation on Infrequent Sentence Functions via Structured Meta-Learning EMNLP 2020
Meta-Transfer Learning for Code-Switched Speech Recognition ACL 2020
GradMix: Multi-source Transfer across Domains and Tasks WACV 2020
Few-Shot Scene Adaptive Crowd Counting Using Meta-Learning WACV 2020
Uncertainty in Model-Agnostic Meta-Learning using Variational Inference WACV 2020
Neural Complexity Measures NIPS 2020
Learning to Learn Variational Semantic Memory NIPS 2020
Stochastic Neural Network with Kronecker Flow AISTATS 2020
Federated Meta-Learning for Fraudulent Credit Card Detection IJCAI 2020
Online Batch Decision-Making with High-Dimensional Covariates AISTATS 2020
Loss Function Search for Face Recognition ICML 2020
Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data ICML 2020