
![]() Meta-Learning with Adaptive HyperparametersNeural Information Processing Systems (NeurIPS), 2020 |
![]() Few-shot Decoding of Brain Activation MapsEuropean Signal Processing Conference (EUSIPCO), 2020 |
![]() Meta-learning the Learning Trends Shared Across TasksBritish Machine Vision Conference (BMVC), 2020 |
![]() Deep Transformers with Latent DepthNeural Information Processing Systems (NeurIPS), 2020 |
![]() Meta-DRN: Meta-Learning for 1-Shot Image SegmentationIEEE India Conference (INDICON), 2020 |
![]() Meta-Learning with Context-Agnostic InitialisationsAsian Conference on Computer Vision (ACCV), 2020 |
![]() Lifelong Incremental Reinforcement Learning with Online Bayesian
InferenceIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020 |
![]() Improving Generalization in Meta-learning via Task AugmentationInternational Conference on Machine Learning (ICML), 2020 |
![]() Few-Shot Bearing Fault Diagnosis Based on Model-Agnostic Meta-LearningIEEE transactions on industry applications (IEEE TIA), 2020 |
![]() Contextualizing Enhances Gradient Based Meta LearningIEEE Conference on High Performance Extreme Computing (HPEC), 2020 |
![]() Adaptive Task Sampling for Meta-LearningEuropean Conference on Computer Vision (ECCV), 2020 |
![]() Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous
GraphsNeural Information Processing Systems (NeurIPS), 2020 |
![]() Submodular Meta-LearningNeural Information Processing Systems (NeurIPS), 2020 |
![]() Meta-Learning Requires Meta-AugmentationNeural Information Processing Systems (NeurIPS), 2020 |
![]() Towards Context-Agnostic Learning Using Synthetic DataNeural Information Processing Systems (NeurIPS), 2020 |
![]() Boosting Few-Shot Learning With Adaptive Margin LossComputer Vision and Pattern Recognition (CVPR), 2020 |
![]() Meta-Meta Classification for One-Shot LearningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020 |
![]() Regularizing Meta-Learning via Gradient DropoutAsian Conference on Computer Vision (ACCV), 2020 |
![]() Meta-Learning in Neural Networks: A SurveyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020 |
![]() Tracking by Instance Detection: A Meta-Learning ApproachComputer Vision and Pattern Recognition (CVPR), 2020 |
![]() Scene-Adaptive Video Frame Interpolation via Meta-LearningComputer Vision and Pattern Recognition (CVPR), 2020 |
![]() DeepEMD: Differentiable Earth Mover's Distance for Few-Shot LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020 |
![]() Is the Meta-Learning Idea Able to Improve the Generalization of Deep
Neural Networks on the Standard Supervised Learning?International Conference on Pattern Recognition (ICPR), 2020 |
![]() Meta-Transfer Learning for Zero-Shot Super-ResolutionComputer Vision and Pattern Recognition (CVPR), 2020 |