SOTAVerified

Unsupervised Pre-training

Pre-training a neural network using unsupervised (self-supervised) auxiliary tasks on unlabeled data.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 241–250 of 265 papers

TitleStatusHype
Self-Supervised Pre-Training Boosts Semantic Scene Segmentation on LiDAR DataCode0
Tuning Multilingual Transformers for Named Entity Recognition on Slavic LanguagesCode0
How much do LLMs learn from negative examples?Code0
Self-training and Pre-training are Complementary for Speech RecognitionCode0
How far can we go without convolution: Improving fully-connected networksCode0
Greedy-layer Pruning: Speeding up Transformer Models for Natural Language ProcessingCode0
Unsupervised Transfer Learning for Spoken Language Understanding in Intelligent AgentsCode0
From Recognition to Prediction: Leveraging Sequence Reasoning for Action AnticipationCode0
CochCeps-Augment: A Novel Self-Supervised Contrastive Learning Using Cochlear Cepstrum-based Masking for Speech Emotion RecognitionCode0
GiBERT: Enhancing BERT with Linguistic Information using a Lightweight Gated Injection MethodCode0
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All datasetsMeaslesUCI measles

Benchmark Results

#ModelMetricClaimedVerifiedStatus
115RDLsAccuracy (%)95—Unverified
29RDLsAccuracy (%)94—Unverified
33 RMDLAccuracy (%)93—Unverified
4CNNAccuracy (%)73—Unverified
5RMDLAccuracy (%)0.1—Unverified
#ModelMetricClaimedVerifiedStatus
1RMDL (30 RDLs)Sensitivity (VEB)90.69—Unverified
2Sensitivity89.1—Unverified
3RMDL 3 RDLsSensitivity0.87—Unverified