Semi-supervised Learning

by Synced 2021-03-11 1

Meet CSL: Facebook AI Approach Achieves 19% WER Reduction for ASR Under Ultra Low-Resource Conditions

A research team from Facebook AI proposes a Contrastive Semi-supervised Learning (CSL) approach that synthesizes pseudo-labelling and contrastive losses to improve the stability of learned speech representations for automatic speech recognition (ASR).

by Synced 2020-10-23 19

Machine Learning & Data Science

Google Brain Sets New Semi-Supervised Learning SOTA in Speech Recognition

Google Brain has improved the SOTA on the LibriSpeech automatic speech recognition task, with their score of 1.4 percent/ 2.6 percent word-error-rates.

by Synced 2020-06-22 0

AI Machine Learning & Data Science Research

Google Brain’s SimCLRv2 Achieves New SOTA in Semi-Supervised Learning

Following on the February release of its contrastive learning framework SimCLR, the same team of Google Brain researchers guided by Turing Award honouree Dr. Geoffrey Hinton has presented SimCLRv2, an upgraded approach that boosts the SOTA results by 21.6 percent.

by Synced 2020-01-23 0

AI Machine Learning & Data Science Research

Google FixMatch: SOTA Performance on Semi-Supervised Learning Benchmarks

A team from Google Research introduced FixMatch, an algorithm that combines two common SSL methods for deep networks: pseudo-labeling (aka self-training) and consistency regularization.