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Zero-Shot Learning

49 papers with code · Methodology

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Greatest papers with code

Improving zero-shot learning by mitigating the hubness problem

20 Dec 2014facebookresearch/MUSE

The zero-shot paradigm exploits vector-based word representations extracted from text corpora with unsupervised methods to learn general mapping functions from other feature spaces onto word space, where the words associated to the nearest neighbours of the mapped vectors are used as their linguistic labels.

IMAGE RETRIEVAL ZERO-SHOT LEARNING

Learning Deep Representations of Fine-grained Visual Descriptions

CVPR 2016 hanzhanggit/StackGAN-v2

State-of-the-art methods for zero-shot visual recognition formulate learning as a joint embedding problem of images and side information.

IMAGE RETRIEVAL ZERO-SHOT LEARNING

Learning to Compare: Relation Network for Few-Shot Learning

CVPR 2018 floodsung/LearningToCompare_FSL

Once trained, a RN is able to classify images of new classes by computing relation scores between query images and the few examples of each new class without further updating the network.

FEW-SHOT LEARNING META-LEARNING ZERO-SHOT LEARNING

Prototypical Networks for Few-shot Learning

NeurIPS 2017 orobix/Prototypical-Networks-for-Few-shot-Learning-PyTorch

We propose prototypical networks for the problem of few-shot classification, where a classifier must generalize to new classes not seen in the training set, given only a small number of examples of each new class.

FEW-SHOT IMAGE CLASSIFICATION ONE-SHOT LEARNING ZERO-SHOT LEARNING

Rethinking Knowledge Graph Propagation for Zero-Shot Learning

CVPR 2019 cyvius96/adgpm

Graph convolutional neural networks have recently shown great potential for the task of zero-shot learning.

ZERO-SHOT LEARNING

One-Shot Unsupervised Cross Domain Translation

NeurIPS 2018 sagiebenaim/OneShotTranslation

Given a single image x from domain A and a set of images from domain B, our task is to generate the analogous of x in B.

ONE SHOT IMAGE TO IMAGE TRANSLATION ZERO-SHOT LEARNING

Answering Visual-Relational Queries in Web-Extracted Knowledge Graphs

7 Sep 2017nle-ml/mmkb

A visual-relational knowledge graph (KG) is a multi-relational graph whose entities are associated with images.

IMAGE RETRIEVAL KNOWLEDGE GRAPH EMBEDDING KNOWLEDGE GRAPH EMBEDDINGS KNOWLEDGE GRAPHS ZERO-SHOT LEARNING

Unsupervised Learning on Neural Network Outputs: with Application in Zero-shot Learning

2 Jun 2015yaolubrain/ULNNO

The outputs of a trained neural network contain much richer information than just an one-hot classifier.

ZERO-SHOT LEARNING

Zero-Shot Learning Through Cross-Modal Transfer

NeurIPS 2013 mganjoo/zslearning

This work introduces a model that can recognize objects in images even if no training data is available for the object class.

ZERO-SHOT LEARNING

Multi-modal Cycle-consistent Generalized Zero-Shot Learning

ECCV 2018 rfelixmg/frwgan-eccv18

In generalized zero shot learning (GZSL), the set of classes are split into seen and unseen classes, where training relies on the semantic features of the seen and unseen classes and the visual representations of only the seen classes, while testing uses the visual representations of the seen and unseen classes.

GENERALIZED ZERO-SHOT LEARNING