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Few-Shot Learning

618 directly classified papers

Papers per year

Papers

Large-Scale Few-Shot Learning: Knowledge Transfer With Class Hierarchy CVPR 2019
Few-Shot Adaptive Faster R-CNN CVPR 2019
Spot and Learn: A Maximum-Entropy Patch Sampler for Few-Shot Image Classification CVPR 2019
CANet: Class-Agnostic Segmentation Networks With Iterative Refinement and Attentive Few-Shot Learning CVPR 2019
RepMet: Representative-Based Metric Learning for Classification and Few-Shot Object Detection CVPR 2019
Handwriting Recognition in Low-Resource Scripts Using Adversarial Learning CVPR 2019
Few-Shot Learning via Saliency-Guided Hallucination of Samples CVPR 2019
TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning CVPR 2019
Meta-Transfer Learning for Few-Shot Learning CVPR 2019
Image Deformation Meta-Networks for One-Shot Learning CVPR 2019
Image Block Augmentation for One-Shot Learning AAAI 2019
Consensus Adversarial Domain Adaptation AAAI 2019
Attention-Based Multi-Context Guiding for Few-Shot Semantic Segmentation AAAI 2019
Few-Shot Image and Sentence Matching via Gated Visual-Semantic Embedding AAAI 2019
Distribution Consistency Based Covariance Metric Networks for Few-Shot Learning AAAI 2019
A Dual Attention Network with Semantic Embedding for Few-Shot Learning AAAI 2019
CSEye: A Proposed Solution for Accurate and Accessible One-to-Many Face Verification AAAI 2019
A Meta-Learning Approach for Custom Model Training AAAI 2019
Few-shot Video-to-Video Synthesis NIPS 2019
Cross Attention Network for Few-shot Classification NIPS 2019
Towards Scalable and Reliable Capsule Networks for Challenging NLP Applications ACL 2019
Few-Shot Representation Learning for Out-Of-Vocabulary Words ACL 2019
Personalizing Dialogue Agents via Meta-Learning ACL 2019
Data-Efficient Goal-Oriented Conversation with Dialogue Knowledge Transfer Networks EMNLP 2019
Look-up and Adapt: A One-shot Semantic Parser EMNLP 2019