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Few-Shot Learning

2558 directly classified papers

Papers per year

Papers

Provably Efficient Third-Person Imitation from Offline Observation UAI 2020
An Empirical Study on Large-Scale Multi-Label Text Classification Including Few and Zero-Shot Labels EMNLP 2020
Simple and Effective Few-Shot Named Entity Recognition with Structured Nearest Neighbor Learning EMNLP 2020
CheXpert++: Approximating the CheXpert Labeler for Speed, Differentiability, and Probabilistic Output MLHC 2020
Multi-Instance Multi-Label Learning Networks for Aspect-Category Sentiment Analysis EMNLP 2020
Few Sample Learning without Data Storage for Lifelong Stream Mining (Student Abstract) AAAI 2020
The Summary Loop: Learning to Write Abstractive Summaries Without Examples ACL 2020
Learning to Learn Variational Semantic Memory NIPS 2020
Meta-learning from Tasks with Heterogeneous Attribute Spaces NIPS 2020
Online Fast Adaptation and Knowledge Accumulation (OSAKA): a New Approach to Continual Learning NIPS 2020
Learning Compositional Rules via Neural Program Synthesis NIPS 2020
VoiceID on the Fly: A Speaker Recognition System that Learns from Scratch INTERSPEECH 2020
Prototypical Q Networks for Automatic Conversational Diagnosis and Few-Shot New Disease Adaption INTERSPEECH 2020
Effective Few-Shot Classification with Transfer Learning COLING 2020
TableGPT: Few-shot Table-to-Text Generation with Table Structure Reconstruction and Content Matching COLING 2020
Adversarially Robust Few-Shot Learning: A Meta-Learning Approach NIPS 2020
Emergent Communication Pretraining for Few-Shot Machine Translation COLING 2020
TransQuest: Translation Quality Estimation with Cross-lingual Transformers COLING 2020
Few-Shot Text Classification with Edge-Labeling Graph Neural Network-Based Prototypical Network COLING 2020
Risk-Averse Stochastic Convex Bandit AISTATS 2019
Learning to Propagate for Graph Meta-Learning NIPS 2019
Pyramid Graph Networks With Connection Attentions for Region-Based One-Shot Semantic Segmentation ICCV 2019
Meta R-CNN: Towards General Solver for Instance-Level Low-Shot Learning ICCV 2019
SMILe: Scalable Meta Inverse Reinforcement Learning through Context-Conditional Policies NIPS 2019
Bad Form: Comparing Context-Based and Form-Based Few-Shot Learning in Distributional Semantic Models EMNLP 2019