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Few-Shot Learning

2,681 papers

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Papers

Arabic Tweet-Act: Speech Act Recognition for Arabic Asynchronous Conversations ACL 2019 A Thompson Sampling Algorithm for Cascading Bandits AISTATS 2019 Attention-Based Multi-Context Guiding for Few-Shot Semantic Segmentation AAAI 2019 BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning ICLR 2019 Bad Form: Comparing Context-Based and Form-Based Few-Shot Learning in Distributional Semantic Models EMNLP 2019 Bayesian Generative Active Deep Learning ICML 2019 Bayesian Loss for Crowd Count Estimation With Point Supervision ICCV 2019 Boosting Few-Shot Visual Learning With Self-Supervision ICCV 2019 Collect and Select: Semantic Alignment Metric Learning for Few-Shot Learning ICCV 2019 Coloring With Limited Data: Few-Shot Colorization via Memory Augmented Networks CVPR 2019 Combining Unsupervised Pre-training and Annotator Rationales to Improve Low-shot Text Classification EMNLP 2019 Compositional Generalization for Primitive Substitutions EMNLP 2019 Conditional Neural Movement Primitives RSS 2019 Consensus Adversarial Domain Adaptation AAAI 2019 Cost Effective Active Search NeurIPS 2019 Cross Attention Network for Few-shot Classification NeurIPS 2019 Data-Efficient Goal-Oriented Conversation with Dialogue Knowledge Transfer Networks EMNLP 2019 Dataset Mention Extraction and Classification NAACL 2019 Deep Reinforcement Active Learning for Human-in-the-Loop Person Re-Identification ICCV 2019 Diversity With Cooperation: Ensemble Methods for Few-Shot Classification ICCV 2019 Edge-Labeling Graph Neural Network for Few-Shot Learning CVPR 2019 Efficient Meta Learning via Minibatch Proximal Update NeurIPS 2019 Experience-Embedded Visual Foresight CoRL 2019 Fast and Flexible Multi-Task Classification using Conditional Neural Adaptive Processes NeurIPS 2019 Feature Weighting and Boosting for Few-Shot Segmentation ICCV 2019