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Unsupervised Representation Learning

41 papers with code ยท Methodology

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Pretraining with Contrastive Sentence Objectives Improves Discourse Performance of Language Models

20 May 2020

Recent models for unsupervised representation learning of text have employed a number of techniques to improve contextual word representations but have put little focus on discourse-level representations.

COMMON SENSE REASONING NATURAL LANGUAGE INFERENCE READING COMPREHENSION UNSUPERVISED REPRESENTATION LEARNING

A Novel Fusion of Attention and Sequence to Sequence Autoencoders to Predict Sleepiness From Speech

15 May 2020

On the development partition of the data, we achieve Spearman's correlation coefficients of . 324, . 283, and . 320 with the targets on the Karolinska Sleepiness Scale by utilising attention and non-attention autoencoders, and the fusion of both autoencoders' representations, respectively.

MACHINE TRANSLATION UNSUPERVISED REPRESENTATION LEARNING

Prototypical Contrastive Learning of Unsupervised Representations

11 May 2020

This paper presents Prototypical Contrastive Learning (PCL), an unsupervised representation learning method that addresses the fundamental limitations of the popular instance-wise contrastive learning.

CONTRASTIVE LEARNING SELF-SUPERVISED IMAGE CLASSIFICATION SEMI-SUPERVISED IMAGE CLASSIFICATION UNSUPERVISED REPRESENTATION LEARNING

PatchVAE: Learning Local Latent Codes for Recognition

7 Apr 2020

Unsupervised representation learning holds the promise of exploiting large amounts of unlabeled data to learn general representations.

UNSUPERVISED REPRESENTATION LEARNING

DHOG: Deep Hierarchical Object Grouping

13 Mar 2020

We introduce deep hierarchical object grouping (DHOG) that computes a number of distinct discrete representations of images in a hierarchical order, eventually generating representations that better optimise the mutual information objective.

EDGE DETECTION UNSUPERVISED REPRESENTATION LEARNING

Evolving Losses for Unsupervised Video Representation Learning

26 Feb 2020

We present a new method to learn video representations from large-scale unlabeled video data.

FEW-SHOT LEARNING MULTI-TASK LEARNING UNSUPERVISED REPRESENTATION LEARNING

Unsupervised Semantic Attribute Discovery and Control in Generative Models

25 Feb 2020

The ability to control semantic attributes is related to the disentanglement of latent factors, which dictates that latent factors be "uncorrelated" in their effects.

ANOMALY DETECTION IMAGE GENERATION STYLE TRANSFER UNSUPERVISED REPRESENTATION LEARNING

Controlling Computation versus Quality for Neural Sequence Models

17 Feb 2020

Further, methods that adapt the amount of computation to the example focus on finding a fixed inference-time computational graph per example, ignoring any external computational budgets or varying inference time limitations.

UNSUPERVISED REPRESENTATION LEARNING

Deep Self-Supervised Representation Learning for Free-Hand Sketch

3 Feb 2020

In this paper, we tackle for the first time, the problem of self-supervised representation learning for free-hand sketches.

SELF-SUPERVISED LEARNING UNSUPERVISED REPRESENTATION LEARNING