Associative Alignment for Few-shot Image ClassificationEuropean Conference on Computer Vision (ECCV), 2019 |
Improved Few-Shot Visual ClassificationComputer Vision and Pattern Recognition (CVPR), 2019 |
MetaFun: Meta-Learning with Iterative Functional UpdatesInternational Conference on Machine Learning (ICML), 2019 |
MetAdapt: Meta-Learned Task-Adaptive Architecture for Few-Shot
ClassificationPattern Recognition Letters (PR), 2019 |
Learning Multi-level Weight-centric Features for Few-shot LearningPattern Recognition (Pattern Recognit.), 2019 |
Meta-Learning of Neural Architectures for Few-Shot LearningComputer Vision and Pattern Recognition (CVPR), 2019 |
Prototype Rectification for Few-Shot LearningEuropean Conference on Computer Vision (ECCV), 2019 |
Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual
RecognitionNeural Information Processing Systems (NeurIPS), 2019 |
Self-Supervised Learning For Few-Shot Image ClassificationIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019 |
Learning from the Past: Continual Meta-Learning via Bayesian Graph
ModelingAAAI Conference on Artificial Intelligence (AAAI), 2019 |
Learning to Few-Shot Learn Across Diverse Natural Language
Classification TasksInternational Conference on Computational Linguistics (COLING), 2019 |
Multimodal Model-Agnostic Meta-Learning via Task-Aware ModulationNeural Information Processing Systems (NeurIPS), 2019 |
Neural Similarity LearningNeural Information Processing Systems (NeurIPS), 2019 |
Meta Learning for End-to-End Low-Resource Speech RecognitionIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019 |
Single Episode Policy Transfer in Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2019 |
Cross Attention Network for Few-shot ClassificationNeural Information Processing Systems (NeurIPS), 2019 |
Improving Generalization in Meta Reinforcement Learning using Learned
ObjectivesInternational Conference on Learning Representations (ICLR), 2019 |
When Does Self-supervision Improve Few-shot Learning?European Conference on Computer Vision (ECCV), 2019 |
Meta-Transfer Learning through Hard TasksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019 |
Transductive Episodic-Wise Adaptive Metric for Few-Shot LearningIEEE International Conference on Computer Vision (ICCV), 2019 |
The Differentiable Cross-Entropy MethodInternational Conference on Machine Learning (ICML), 2019 |
RLBench: The Robot Learning Benchmark & Learning EnvironmentIEEE Robotics and Automation Letters (RA-L), 2019 |
A Theoretical Analysis of the Number of Shots in Few-Shot LearningInternational Conference on Learning Representations (ICLR), 2019 |
Decoder Choice Network for Meta-LearningIEEE Transactions on Cybernetics (IEEE Trans. Cybern.), 2019 |
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness
of MAMLInternational Conference on Learning Representations (ICLR), 2019 |
GradNet: Gradient-Guided Network for Visual Object TrackingIEEE International Conference on Computer Vision (ICCV), 2019 |
Modular Meta-Learning with ShrinkageNeural Information Processing Systems (NeurIPS), 2019 |
Meta-Learning with Implicit GradientsNeural Information Processing Systems (NeurIPS), 2019 |
A Baseline for Few-Shot Image ClassificationInternational Conference on Learning Representations (ICLR), 2019 |
Meta-Learning with Warped Gradient DescentInternational Conference on Learning Representations (ICLR), 2019 |
Transferability and Hardness of Supervised Classification TasksIEEE International Conference on Computer Vision (ICCV), 2019 |
Few-Shot Learning with Global Class RepresentationsIEEE International Conference on Computer Vision (ICCV), 2019 |
Charting the Right Manifold: Manifold Mixup for Few-shot LearningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2019 |
Uncertainty in Model-Agnostic Meta-Learning using Variational InferenceIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2019 |