conftrace_

small sample learning

9 papers

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Co-occurring keywords · papers mentioning both

convolutional neural network (2) domain adaptation (2) imprecise probability (1) parameter reduction (1) set-valued classification (1) cognitive model (1) emotion distribution learning (1) kernel methods (1) clothing segmentation (1) pathological image (1)

Papers

GSAG-CDGAN: A Generalizable Small-Sample Attention-Guided GAN for Remote Sensing Change Detection (Student Abstract) AAAI 2026 Learning from Few Samples: Transformation-Invariant SVMs with Composition and Locality at Multiple Scales NeurIPS 2022 SagaNet: A Small Sample Gated Network for Pediatric Cancer Diagnosis ICML 2021 Text Emotion Distribution Learning from Small Sample: A Meta-Learning Approach EMNLP 2019 Learning Structure and Strength of CNN Filters for Small Sample Size Training CVPR 2018 Semantic Locality-Aware Deformable Network for Clothing Segmentation IJCAI 2018 Learning From Small Samples: An Analysis of Simple Decision Heuristics NeurIPS 2015 Domain Adaptation: A Small Sample Statistical Approach AISTATS 2012 Learning Reliable Classifiers From Small or Incomplete Data Sets: The Naive Credal Classifier 2 JMLR 2008