Showing 1–20 of 61 results
/ Date/ Name
Jul 12, 2021Kernel Continual LearningOct 20, 2020Learning to Learn Variational Semantic MemoryDec 26, 2021Generative Kernel Continual learningMay 9, 2021A Bit More Bayesian: Domain-Invariant Learning with UncertaintyJun 11, 2020Learning to Learn Kernels with Variational Random FeaturesSep 21, 2025Variational Task Vector CompositionNov 9, 2021Variational Multi-Task Learning with Gumbel-Softmax PriorsJul 15, 2020Learning to Learn with Variational Information Bottleneck for Domain GeneralizationJan 29, 2019Two-Stream Multi-Task Network for Fashion RecognitionSep 5, 2023Learning Cross-Modal Affinity for Referring Video Object Segmentation Targeting Limited SamplesOct 19, 2022Variational Model Perturbation for Source-Free Domain AdaptationMay 17, 2023MetaModulation: Learning Variational Feature Hierarchies for Few-Shot Learning with Fewer TasksMay 17, 2023CageViT: Convolutional Activation Guided Efficient Vision TransformerFeb 28, 2023Meta Learning to Bridge Vision and Language Models for Multimodal Few-Shot LearningJun 8, 2023EMO: Episodic Memory Optimization for Few-Shot Meta-LearningAug 22, 2023Knowledge-Aware Prompt Tuning for Generalizable Vision-Language ModelsJul 8, 2023Probabilistic Test-Time Generalization by Variational Neighbor-LabelingApr 18, 2025Few-Shot Referring Video Single- and Multi-Object Segmentation via Cross-Modal Affinity with Instance Sequence MatchingNov 10, 2021Multi-Task Neural ProcessesMar 19, 2021Variational Knowledge Distillation for Disease Classification in Chest X-Rays