self-supervised learning

[self-ˈsü-pər-ˌvīzd ˈlər-niŋ]

noun

aprendizado autossupervisionado

1. A machine learning approach where the model learns from unlabeled data by generating its own labels or supervisory signals from the input data itself, without requiring human annotation.

Self-supervised learning has revolutionized natural language processing by allowing models to learn from vast amounts of unlabeled text.

O aprendizado autossupervisionado revolucionou o processamento de linguagem natural ao permitir que modelos aprendam com grandes quantidades de texto sem rótulos.

2. A training paradigm where the model creates pseudo-labels or auxiliary tasks from the raw data to improve feature representation without explicit external supervision.

Contrastive self-supervised learning methods like SimCLR have achieved impressive results in computer vision.

Métodos de aprendizado autossupervisionado contrastivo como SimCLR alcançaram resultados impressionantes em visão computacional.

Synonyms

unsupervised representation learning pseudo-labeling auxiliary task learning

Antonyms

supervised learning fully-supervised learning

Regional Variations

General Brazilian

aprendizado autossupervisionado

Standard term used in Brazilian Portuguese academic and technical contexts

Portugal

aprendizagem autossupervisionada

European Portuguese variant, using 'aprendizagem' instead of 'aprendizado'

General

aprendizado auto-supervisionado

Alternative hyphenation used in some technical literature

General

aprendizado sem supervisão explícita

Descriptive alternative translation

Related Idioms & Phrases

learning from unlabeled data

bootstrapping labels

pseudo-labeling strategy

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