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Unsupervised Representation Learning

13 papers with code · Methodology

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Greatest papers with code

Meta-Learning Update Rules for Unsupervised Representation Learning

ICLR 2019 tensorflow/models

Specifically, we target semi-supervised classification performance, and we meta-learn an algorithm -- an unsupervised weight update rule -- that produces representations useful for this task.

META-LEARNING UNSUPERVISED REPRESENTATION LEARNING

Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

19 Nov 2015tensorflow/models

In recent years, supervised learning with convolutional networks (CNNs) has seen huge adoption in computer vision applications.

CONDITIONAL IMAGE GENERATION UNSUPERVISED REPRESENTATION LEARNING

Semi-Supervised Sequence Modeling with Cross-View Training

EMNLP 2018 tensorflow/models

We therefore propose Cross-View Training (CVT), a semi-supervised learning algorithm that improves the representations of a Bi-LSTM sentence encoder using a mix of labeled and unlabeled data.

CCG SUPERTAGGING DEPENDENCY PARSING MACHINE TRANSLATION MULTI-TASK LEARNING NAMED ENTITY RECOGNITION (NER) UNSUPERVISED REPRESENTATION LEARNING

Visual Reinforcement Learning with Imagined Goals

NeurIPS 2018 vitchyr/rlkit

For an autonomous agent to fulfill a wide range of user-specified goals at test time, it must be able to learn broadly applicable and general-purpose skill repertoires.

UNSUPERVISED REPRESENTATION LEARNING

Unsupervised Representation Learning by Predicting Image Rotations

ICLR 2018 gidariss/FeatureLearningRotNet

However, in order to successfully learn those features, they usually require massive amounts of manually labeled data, which is both expensive and impractical to scale.

UNSUPERVISED REPRESENTATION LEARNING

AET vs. AED: Unsupervised Representation Learning by Auto-Encoding Transformations rather than Data

14 Jan 2019maple-research-lab/AET

The success of deep neural networks often relies on a large amount of labeled examples, which can be difficult to obtain in many real scenarios.

UNSUPERVISED REPRESENTATION LEARNING

Learning Distributed Representations of Sentences from Unlabelled Data

HLT 2016 jihunchoi/sequential-denoising-autoencoder-tf

Unsupervised methods for learning distributed representations of words are ubiquitous in today's NLP research, but far less is known about the best ways to learn distributed phrase or sentence representations from unlabelled data.

UNSUPERVISED REPRESENTATION LEARNING

Sampling strategies in Siamese Networks for unsupervised speech representation learning

30 Apr 2018bootphon/abnet3

We apply these results to pairs of words discovered using an unsupervised algorithm and show an improvement on state-of-the-art in unsupervised representation learning using siamese networks.

UNSUPERVISED REPRESENTATION LEARNING

Inferencing Based on Unsupervised Learning of Disentangled Representations

7 Mar 2018tohinz/Bidirectional-InfoGAN

Combining Generative Adversarial Networks (GANs) with encoders that learn to encode data points has shown promising results in learning data representations in an unsupervised way.

UNSUPERVISED IMAGE CLASSIFICATION UNSUPERVISED MNIST