Xiantong Zhen

Latest

• Probabilistic Test-Time Generalization by Variational Neighbor-Labeling
• MetaKernel: Learning Variational Random Features with Limited Labels
• Order-preserving Consistency Regularization for Domain Adaptation and Generalization
• EMO: Episodic Memory Optimization for Few-Shot Meta-Learning
• MetaModulation: Learning Variational Feature Hierarchies for Few-Shot Learning with Fewer Tasks
• SuperDisco: Super-Class Discovery Improves Visual Recognition for the Long-Tail
• Energy-Based Test Sample Adaptation for Domain Generalization
• LifeLonger: A Benchmark for Continual Disease Classification
• Association Graph Learning for Multi-Task Classification with Category Shifts
• Variational Model Perturbation for Source-Free Domain Adaptation
• Hierarchical Variational Memory for Few-shot Learning Across Domains
• Learning to Generalize across Domains on Single Test Samples
• Variational Abnormal Behavior Detection with Motion Consistency
• Variational Multi-Task Learning with Gumbel-Softmax Priors
• Learning Hierarchical Embedding for Video Instance Segmentation
• Seminar Learning for Click-Level Weakly Supervised Semantic Segmentation
• Learning to Adapt with Memory for Probabilistic Few-Shot Learning
• Memory Attention Networks for Skeleton-Based Action Recognition
• A Bit More Bayesian: Domain-Invariant Learning with Uncertainty
• Kernel Continual Learning
• Learning to Learn Dense Gaussian Processes for Few-Shot Learning
• Variational Topic Inference for Chest X-Ray Report Generation
• Meta-Learning with Variational Semantic Memory for Word Sense Disambiguation
• Deep 3D human pose estimation: A review
• Variational prototype inference for few-shot semantic segmentation
• MetaNorm: Learning to Normalize Few-Shot Batches Across Domains
• Variational Knowledge Distillation for Disease Classification in Chest X-Rays
• Learning to Learn Variational Semantic Memory
• Pixel-level non-local image smoothing with objective evaluation
• Learning to Learn with Variational Information Bottleneck for Domain Generalization
• Learning to Learn Kernels with Variational Random Features
• Few-Shot Ensemble Learning for Video Classification with SlowFast Memory Networks
• Few-Shot Semantic Segmentation with Democratic Attention Networks