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 151–175 of 265 papers

TitleStatusHype
A Pitfall of Unsupervised Pre-Training—0
A Pitfall of Unsupervised Pre-Training—0
Pre-training Graph Transformer with Multimodal Side Information for Recommendation—0
AT-BERT: Adversarial Training BERT for Acronym Identification Winning Solution for SDU@AAAI-21—0
Attention-Guided Masked Autoencoders For Learning Image Representations—0
Audio Transformers—0
Author2Vec: A Framework for Generating User Embedding—0
Automated clinical coding using off-the-shelf large language models—0
Automatic Sexism Detection with Multilingual Transformer Models—0
Bi-APC: Bidirectional Autoregressive Predictive Coding for Unsupervised Pre-training and Its Application to Children's ASR—0
BID: Boundary-Interior Decoding for Unsupervised Temporal Action Localization Pre-Trainin—0
Bi-tuning of Pre-trained Representations—0
Boosting Low-Data Instance Segmentation by Unsupervised Pre-training with Saliency Prompt—0
Boundary-aware Information Maximization for Self-supervised Medical Image Segmentation—0
CLAP: Unsupervised 3D Representation Learning for Fusion 3D Perception via Curvature Sampling and Prototype Learning—0
Classifying Whole Slide Images: What Matters?—0
CLCE: An Approach to Refining Cross-Entropy and Contrastive Learning for Optimized Learning Fusion—0
Color Constancy Convolutional Autoencoder—0
Combining Unsupervised Pre-training and Annotator Rationales to Improve Low-shot Text Classification—0
Co-Morbidity Exploration on Wearables Activity Data Using Unsupervised Pre-training and Multi-Task Learning—0
Convergence of gradient based pre-training in Denoising autoencoders—0
Corruption Is Not All Bad: Incorporating Discourse Structure into Pre-training via Corruption for Essay Scoring—0
Beyond Fine-Tuning: Transferring Behavior in Reinforcement Learning—0
Cross-Domain Training for Goal-Oriented Conversational Agents—0
CUPre: Cross-domain Unsupervised Pre-training for Few-Shot Cell Segmentation—0
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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