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Few-Shot Learning

2558 directly classified papers

Papers per year

Papers

Improving Few-Shot User-Specific Gaze Adaptation via Gaze Redirection Synthesis CVPR 2019
Reevaluating Argument Component Extraction in Low Resource Settings EMNLP 2019
A Generalized Algorithm for Multi-Objective Reinforcement Learning and Policy Adaptation NIPS 2019
A Thompson Sampling Algorithm for Cascading Bandits AISTATS 2019
Hierarchical Attention Prototypical Networks for Few-Shot Text Classification EMNLP 2019
Meta-Curvature NIPS 2019
Reconciling meta-learning and continual learning with online mixtures of tasks NIPS 2019
Deep Reinforcement Active Learning for Human-in-the-Loop Person Re-Identification ICCV 2019
Meta-Learning with Implicit Gradients NIPS 2019
Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks ICML 2019
Probabilistic Neural Symbolic Models for Interpretable Visual Question Answering ICML 2019
Icebreaker: Element-wise Efficient Information Acquisition with a Bayesian Deep Latent Gaussian Model NIPS 2019
Few-Shot Learning for Dermatological Disease Diagnosis MLHC 2019
Incremental Few-Shot Learning with Attention Attractor Networks NIPS 2019
Image Block Augmentation for One-Shot Learning AAAI 2019
Few-Shot Representation Learning for Out-Of-Vocabulary Words ACL 2019
Give It a Shot: Few-shot Learning to Normalize ADR Mentions in Social Media Posts ACL 2019
LaSO: Label-Set Operations Networks for Multi-Label Few-Shot Learning CVPR 2019
Few-Shot Learning With Localization in Realistic Settings CVPR 2019
Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders CVPR 2019
PGANs: Personalized Generative Adversarial Networks for ECG Synthesis to Improve Patient-Specific Deep ECG Classification AAAI 2019
Semi-Parametric Sampling for Stochastic Bandits with Many Arms AAAI 2019
Coloring With Limited Data: Few-Shot Colorization via Memory Augmented Networks CVPR 2019
Bayesian Loss for Crowd Count Estimation With Point Supervision ICCV 2019
Bayesian Generative Active Deep Learning ICML 2019