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Few-Shot Learning

1013 directly classified papers

Papers per year

Papers

Node Classification on Graphs with Few-Shot Novel Labels via Meta Transformed Network Embedding NIPS 2020
Learning to Learn Kernels with Variational Random Features ICML 2020
FET-GAN: Font and Effect Transfer via K-shot Adaptive Instance Normalization AAAI 2020
Few-Shot Knowledge Graph Completion AAAI 2020
Few Shot Network Compression via Cross Distillation AAAI 2020
Variational Metric Scaling for Metric-Based Meta-Learning AAAI 2020
Graph Few-Shot Learning via Knowledge Transfer AAAI 2020
Neural Snowball for Few-Shot Relation Learning AAAI 2020
PuzzLing Machines: A Challenge on Learning From Small Data ACL 2020
Few-shot Slot Tagging with Collapsed Dependency Transfer and Label-enhanced Task-adaptive Projection Network ACL 2020
Extensively Matching for Few-shot Learning Event Detection ACL 2020
Consistent MetaReg: Alleviating Intra-task Discrepancy for Better Meta-knowledge IJCAI 2020
Self-Supervised Tuning for Few-Shot Segmentation IJCAI 2020
Resource Constrained Dialog Policy Learning Via Differentiable Inductive Logic Programming COLING 2020
Few-shot Visual Learning with Contextual Memory and Fine-grained Calibration IJCAI 2020
Transductive Relation-Propagation Network for Few-shot Learning IJCAI 2020
Learning Task-aware Local Representations for Few-shot Learning IJCAI 2020
Synthetic Examples Improve Generalization for Rare Classes WACV 2020
Dynamic Memory Induction Networks for Few-Shot Text Classification ACL 2020
Shaping Visual Representations with Language for Few-Shot Classification ACL 2020
A Two-Stage Masked LM Method for Term Set Expansion ACL 2020
Learning to Classify Intents and Slot Labels Given a Handful of Examples ACL 2020
Spoken Content and Voice Factorization for Few-Shot Speaker Adaptation INTERSPEECH 2020
Attention-Based Speaker Embeddings for One-Shot Voice Conversion INTERSPEECH 2020
Attentron: Few-Shot Text-to-Speech Utilizing Attention-Based Variable-Length Embedding INTERSPEECH 2020