SOTAVerified

Unsupervised Pre-training

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

Papers

Showing 51100 of 265 papers

TitleStatusHype
Rolling-Unrolling LSTMs for Action Anticipation from First-Person VideoCode1
Seasonal Contrast: Unsupervised Pre-Training from Uncurated Remote Sensing DataCode1
HIQL: Offline Goal-Conditioned RL with Latent States as ActionsCode1
TabTransformer: Tabular Data Modeling Using Contextual EmbeddingsCode1
BMRetriever: Tuning Large Language Models as Better Biomedical Text RetrieversCode1
D^2LV: A Data-Driven and Local-Verification Approach for Image Copy DetectionCode1
MultiTalent: A Multi-Dataset Approach to Medical Image SegmentationCode1
A Further Study of Unsupervised Pre-training for Transformer Based Speech RecognitionCode1
A Transformer-based Framework for Multivariate Time Series Representation LearningCode1
SEED: Self-supervised Distillation For Visual RepresentationCode1
Self-Supervised Visual Representation Learning with Semantic GroupingCode1
SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-Training for Spatial-Aware Visual RepresentationsCode1
FreePoint: Unsupervised Point Cloud Instance SegmentationCode1
SPACE: Your Genomic Profile Predictor is a Powerful DNA Foundation ModelCode1
TACRED Revisited: A Thorough Evaluation of the TACRED Relation Extraction TaskCode1
Pre-training strategies and datasets for facial representation learningCode1
DOBF: A Deobfuscation Pre-Training Objective for Programming LanguagesCode1
DocILE Benchmark for Document Information Localization and ExtractionCode1
Don't Stop Pretraining? Make Prompt-based Fine-tuning Powerful LearnerCode1
Image Representations Learned With Unsupervised Pre-Training Contain Human-like BiasesCode1
Initialization and Regularization of Factorized Neural LayersCode1
Drop your Decoder: Pre-training with Bag-of-Word Prediction for Dense Passage RetrievalCode1
Unsupervised Pre-Training on Patient Population Graphs for Patient-Level PredictionsCode1
Improving Transformer-based Speech Recognition Using Unsupervised Pre-trainingCode1
PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-trainingCode1
ELECTRIcity: An Efficient Transformer for Non-Intrusive Load MonitoringCode1
CATE: Computation-aware Neural Architecture Encoding with TransformersCode1
Unsupervised Pre-Training For Data-Efficient Text-to-Speech On Low Resource LanguagesCode1
Self-Supervised Pre-Training Boosts Semantic Scene Segmentation on LiDAR DataCode0
Accelerating Training of Transformer-Based Language Models with Progressive Layer DroppingCode0
Self-Supervised Modality-Agnostic Pre-Training of Swin TransformersCode0
Self-training and Pre-training are Complementary for Speech RecognitionCode0
Decoupling Exploration and Exploitation for Unsupervised Pre-training with Successor FeaturesCode0
Data-dependent Initializations of Convolutional Neural NetworksCode0
BERT and PALs: Projected Attention Layers for Efficient Adaptation in Multi-Task LearningCode0
Curriculum-Based Self-Training Makes Better Few-Shot Learners for Data-to-Text GenerationCode0
An Analysis of Unsupervised Pre-training in Light of Recent AdvancesCode0
RMDL: Random Multimodel Deep Learning for ClassificationCode0
A Large-Scale Study on Unsupervised Spatiotemporal Representation LearningCode0
Contextual embedding and model weighting by fusing domain knowledge on Biomedical Question AnsweringCode0
PUNR: Pre-training with User Behavior Modeling for News RecommendationCode0
Generalized 3D Self-supervised Learning Framework via Prompted Foreground-Aware Feature ContrastCode0
Post Training in Deep Learning with Last KernelCode0
COLA: COarse LAbel pre-training for 3D semantic segmentation of sparse LiDAR datasetsCode0
Neural Grammatical Error Correction Systems with Unsupervised Pre-training on Synthetic DataCode0
Pre-train and Learn: Preserve Global Information for Graph Neural NetworksCode0
CochCeps-Augment: A Novel Self-Supervised Contrastive Learning Using Cochlear Cepstrum-based Masking for Speech Emotion RecognitionCode0
MML: Maximal Multiverse Learning for Robust Fine-Tuning of Language ModelsCode0
Unsupervised Pre-Training of Image Features on Non-Curated DataCode0
Learning Deep Representations Using Convolutional Auto-encoders with Symmetric Skip ConnectionsCode0
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Benchmark Results

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