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Meta-Learning

1524 directly classified papers

Papers per year

Papers

Few-Shot Adaptive Gaze Estimation ICCV 2019
DUT-NLP at MEDIQA 2019: An Adversarial Multi-Task Network to Jointly Model Recognizing Question Entailment and Question Answering ACL 2019
Guided Meta-Policy Search NIPS 2019
Meta-Sim: Learning to Generate Synthetic Datasets ICCV 2019
One-Shot Neural Architecture Search via Self-Evaluated Template Network ICCV 2019
ACE: Adapting to Changing Environments for Semantic Segmentation ICCV 2019
Deep Meta Functionals for Shape Representation ICCV 2019
Exploring Randomly Wired Neural Networks for Image Recognition ICCV 2019
Unsupervised Curricula for Visual Meta-Reinforcement Learning NIPS 2019
Neural Jump Stochastic Differential Equations NIPS 2019
Meta Learning with Relational Information for Short Sequences NIPS 2019
Few-Shot Object Detection via Feature Reweighting ICCV 2019
Bridging the Gap Between Detection and Tracking: A Unified Approach ICCV 2019
Deep Meta Learning for Real-Time Target-Aware Visual Tracking ICCV 2019
Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation NIPS 2019
Bayesian Learning of Neural Network Architectures AISTATS 2019
Contextual bandits with continuous actions: Smoothing, zooming, and adapting COLT 2019
Meta-Learning for Low-resource Natural Language Generation in Task-oriented Dialogue Systems IJCAI 2019
A New Multi-choice Reading Comprehension Dataset for Curriculum Learning ACML 2019
A Multitask Multiple Kernel Learning Algorithm for Survival Analysis with Application to Cancer Biology ICML 2019
Learning to Generalize from Sparse and Underspecified Rewards ICML 2019
Confidence Scoring Using Whitebox Meta-models with Linear Classifier Probes AISTATS 2019
Asynchronous Batch Bayesian Optimisation with Improved Local Penalisation ICML 2019
Meta-Weighted Gaussian Process Experts for Personalized Forecasting of AD Cognitive Changes MLHC 2019
TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning CVPR 2019