SOTAVerified

Transfer Learning

Transfer Learning is a machine learning technique where a model trained on one task is re-purposed and fine-tuned for a related, but different task. The idea behind transfer learning is to leverage the knowledge learned from a pre-trained model to solve a new, but related problem. This can be useful in situations where there is limited data available to train a new model from scratch, or when the new task is similar enough to the original task that the pre-trained model can be adapted to the new problem with only minor modifications.

( Image credit: Subodh Malgonde )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 6151–6200 of 10307 papers

TitleStatusHype
Speech Synthesis for Low Resource Languages using Transliteration Enabled Transfer Learning—0
DAML: Chinese Named Entity Recognition with a fusion method of data-augmentation and meta-learning—0
Data-adaptive Transfer Learning for Low-resource Translation: A Case Study in Haitian—0
Multilingual Document-Level Translation Enables Zero-Shot Transfer From Sentences to Documents—0
Continual Prompt Tuning for Dialog State Tracking—0
Hierarchical Recurrent Aggregative Generation for Few-Shot NLG—0
Multi-Stage Framework with Refinement based Point Set Registration for Unsupervised Bi-Lingual Word Alignment—0
Freezing the Pivot for Triangular Machine Translation—0
Parameter-Efficient Abstractive Question Answering over Tables and over Text—0
Rewire-then-Probe: A Contrastive Recipe for Probing Biomedical Knowledge of Pre-trained Language Models—0
Are You Really Okay? A Transfer Learning-based Approach for Identification of Underlying Mental Illnesses—0
Meta-Adapter: Parameter Efficient Few-Shot Learning through Meta-Learning—0
Synonyms, Antonyms and Beyond—0
Hierarchical transfer learning with applications for electricity load forecastingCode0
Offensive Text Detection Across Languages and Datasets Using Rule-based and Hybrid Methods—0
A Comparative Study on Transfer Learning and Distance Metrics in Semantic Clustering over the COVID-19 Tweets—0
Leveraging Visual Knowledge in Language Tasks: An Empirical Study on Intermediate Pre-training for Cross-Modal Knowledge Transfer—0
All Birds with One Stone: Multi-task Learning for Inference with One Forward Pass—0
S^4-Tuning: A Simple Cross-lingual Sub-network Tuning Method—0
A Meta-Learning Approach for Few-Shot (Dis)Agreement Identification in Online Discussions—0
IndicBART: A Pre-trained Model for Indic Natural Language Generation—0
Dynamic Schema Graph Fusion Network for Multi-Domain Dialogue State Tracking—0
An Unsupervised Multiple-Task and Multiple-Teacher Model for Cross-lingual Named Entity RecognitionCode0
IDPG: An Instance-Dependent Prompt Generation Method—0
SUPERB-SG: Enhanced Speech processing Universal PERformance Benchmark for Semantic and Generative Capabilities—0
Shallow Parsing for Nepal Bhasa Complement Clauses—0
Gradient Sparsification For Masked Fine-Tuning of Transformers—0
Sharper Reasons: Argument Mining Leveraged with Confluent Knowledge—0
Persian Natural Language Inference: A Meta-learning approach—0
Cross-domain Named Entity Recognition via Graph Matching—0
Make the Best of Cross-lingual Transfer: Evidence from POS Tagging with over 100 Languages—0
Composable Sparse Fine-Tuning for Cross-Lingual Transfer—0
XLTime: A Cross-Lingual Knowledge Transfer Framework for Zero-Shot Low-Resource Language Temporal Expression Extraction—0
Two Front-Ends, One Model : Fusing Heterogeneous Speech Features for Low Resource ASR with Multilingual Pre-Training—0
Weight Squeezing: Reparameterization for Knowledge Transfer and Model Compression—0
What does it take to bake a cake? The RecipeRef corpus and anaphora resolution in procedural text—0
Transfer Learning in Polyp and Endoscopic Tool Segmentation from Colonoscopy ImagesCode0
Transfer Learning Capabilities of Untrained Neural Networks for MIMO CSI Recreation—0
Joint Unsupervised and Supervised Training for Multilingual ASR—0
Is One Teacher Model Enough to Transfer Knowledge to a Student Model?Code0
Adding more data does not always help: A study in medical conversation summarization with PEGASUS—0
Say What? Collaborative Pop Lyric Generation Using Multitask Transfer Learning—0
Fracture Detection in Wrist X-ray Images Using Deep Learning-Based Object Detection ModelsCode0
Improving Compound Activity Classification via Deep Transfer and Representation LearningCode0
A Novel TSK Fuzzy System Incorporating Multi-view Collaborative Transfer Learning for Personalized Epileptic EEG Detection—0
Automated PII Extraction from Social Media for Raising Privacy Awareness: A Deep Transfer Learning Approach—0
A Two-Stage Approach towards Generalization in Knowledge Base Question Answering—0
Entropy optimized semi-supervised decomposed vector-quantized variational autoencoder model based on transfer learning for multiclass text classification and generation—0
Prune Once for All: Sparse Pre-Trained Language Models—0
CEHR-BERT: Incorporating temporal information from structured EHR data to improve prediction tasks—0
Show:102550
← PrevPage 124 of 207Next →
All datasetsOffice-Home100 sleep nights of 8 caregiversBanglaLekha Isolated DatasetCOCO70KITTI Object Tracking Evaluation 2012Retinal Fundus MultiDisease Image Dataset (RFMiD)

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1APCLIPAccuracy84.2—Unverified
2DFA-ENTAccuracy69.2—Unverified
3DFA-SAFNAccuracy69.1—Unverified
4EasyTLAccuracy63.3—Unverified
5MEDAAccuracy60.3—Unverified
#ModelMetricClaimedVerifiedStatus
1CNN10-20% Mask PSNR3.23—Unverified
#ModelMetricClaimedVerifiedStatus
1Chatterjee, Dutta et al.[1]Accuracy96.12—Unverified
#ModelMetricClaimedVerifiedStatus
1Co-TuningAccuracy85.65—Unverified
#ModelMetricClaimedVerifiedStatus
1Physical AccessEER5.74—Unverified
#ModelMetricClaimedVerifiedStatus
1riadd.aucmediAUROC0.95—Unverified