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few-shot learning

3390 papers

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Also known as

FSL FEW-SHOT

Co-occurring keywords

large language model (12755) zero-shot learning (3637) transfer learning (5442) in-context learning (1369) text classification (6776) domain adaptation (4578) prompt engineering (1128) language model (4573) representation learning (6174) contrastive learning (3979)

Papers

Compositional Generalization for Primitive Substitutions EMNLP 2019
Meta-Transfer Learning for Few-Shot Learning CVPR 2019
Generating Classification Weights With GNN Denoising Autoencoders for Few-Shot Learning CVPR 2019
LaSO: Label-Set Operations Networks for Multi-Label Few-Shot Learning CVPR 2019
Metalearned Neural Memory NIPS 2019
SMILe: Scalable Meta Inverse Reinforcement Learning through Context-Conditional Policies NIPS 2019
Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation NIPS 2019
Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs EMNLP 2019
Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations EMNLP 2019
Domain Adaptive Dialog Generation via Meta Learning ACL 2019
Dense Classification and Implanting for Few-Shot Learning CVPR 2019
Few-shot Video-to-Video Synthesis NIPS 2019
Neural Similarity Learning NIPS 2019
Investigating Meta-Learning Algorithms for Low-Resource Natural Language Understanding Tasks EMNLP 2019
Big Generalizations with Small Data: Exploring the Role of Training Samples in Learning Adjectives of Size EMNLP 2019
Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks ICML 2019
Few-Shot Learning for Dermatological Disease Diagnosis MLHC 2019
Bad Form: Comparing Context-Based and Form-Based Few-Shot Learning in Distributional Semantic Models EMNLP 2019
Meta R-CNN: Towards General Solver for Instance-Level Low-Shot Learning ICCV 2019
Finding Task-Relevant Features for Few-Shot Learning by Category Traversal CVPR 2019
Edge-Labeling Graph Neural Network for Few-Shot Learning CVPR 2019
TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning CVPR 2019
Few-Shot Learning via Saliency-Guided Hallucination of Samples CVPR 2019
One-Shot Object Detection with Co-Attention and Co-Excitation NIPS 2019
A Generalized Algorithm for Multi-Objective Reinforcement Learning and Policy Adaptation NIPS 2019