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1904.04232
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A Closer Look at Few-shot Classification
8 April 2019
Wei-Yu Chen
Yen-Cheng Liu
Z. Kira
Y. Wang
Jia-Bin Huang
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Papers citing
"A Closer Look at Few-shot Classification"
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Title
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131
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A transductive few-shot learning approach for classification of digital histopathological slides from liver cancer
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Eliott Barbot
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108
2
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Robust Transductive Few-shot Learning via Joint Message Passing and Prototype-based Soft-label Propagation
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95
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Query by Activity Video in the Wild
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Exploring Graph Classification Techniques Under Low Data Constraints: A Comprehensive Study
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Bhavya Mehta
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73
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EdgeFM: Leveraging Foundation Model for Open-set Learning on the Edge
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118
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Cross-Level Distillation and Feature Denoising for Cross-Domain Few-Shot Classification
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Re-Scoring Using Image-Language Similarity for Few-Shot Object Detection
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Investigating Relative Performance of Transfer and Meta Learning
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Adaptive Anchor Label Propagation for Transductive Few-Shot Learning
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Episodic Multi-Task Learning with Heterogeneous Neural Processes
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Learning Repeatable Speech Embeddings Using An Intra-class Correlation Regularizer
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Solving Expensive Optimization Problems in Dynamic Environments with Meta-learning
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Not Just Learning from Others but Relying on Yourself: A New Perspective on Few-Shot Segmentation in Remote Sensing
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51
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Few-Shot Learning Patterns in Financial Time-Series for Trend-Following Strategies
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Plug-and-Play Feature Generation for Few-Shot Medical Image Classification
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Subspace Adaptation Prior for Few-Shot Learning
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PatchProto Networks for Few-shot Visual Anomaly Classification
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Logarithm-transform aided Gaussian Sampling for Few-Shot Learning
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A Systematic Review of Few-Shot Learning in Medical Imaging
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