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 6226–6250 of 10307 papers

TitleStatusHype
The Global Banking Standards QA Dataset (GBS-QA)—0
Developing Conversational Data and Detection of Conversational Humor in Telugu—0
Mapping probability word problems to executable representations—0
Machine Reading Comprehension as Data Augmentation: A Case Study on Implicit Event Argument Extraction—0
TenTrans Multilingual Low-Resource Translation System for WMT21 Indo-European Languages Task—0
Active Learning for Rumor Identification on Social Media—0
NRC-CNRC Systems for Upper Sorbian-German and Lower Sorbian-German Machine Translation 2021—0
Adam Mickiewicz University’s English-Hausa Submissions to the WMT 2021 News Translation Task—0
Sequence Mixup for Zero-Shot Cross-Lingual Part-Of-Speech Tagging—0
Exploring Pre-Trained Transformers and Bilingual Transfer Learning for Arabic Coreference ResolutionCode0
Pivot Based Transfer Learning for Neural Machine Translation: CFILT IITB @ WMT 2021 Triangular MT—0
Limitations of Knowledge Distillation for Zero-shot Transfer Learning—0
PDALN: Progressive Domain Adaptation over a Pre-trained Model for Low-Resource Cross-Domain Named Entity Recognition—0
Language Model Pretraining and Transfer Learning for Very Low Resource Languages—0
Quality Estimation Using Dual Encoders with Transfer Learning—0
Evaluating deep transfer learning for whole-brain cognitive decodingCode0
Improving Unsupervised Commonsense Reasoning Using Knowledge-Enabled Natural Language Inference—0
Learning Cross-lingual Representations for Event Coreference Resolution with Multi-view Alignment and Optimal Transport—0
Fine-grained Temporal Relation Extraction with Ordered-Neuron LSTM and Graph Convolutional Networks—0
CVAE-based Re-anchoring for Implicit Discourse Relation Classification—0
Wino-X: Multilingual Winograd Schemas for Commonsense Reasoning and Coreference ResolutionCode0
Transfer Learning Approach to Bicycle-sharing Systems' Station Location Planning using OpenStreetMap DataCode0
Wasserstein Selective Transfer Learning for Cross-domain Text Mining—0
Transfer Learning with Shallow Decoders: BSC at WMT2021’s Multilingual Low-Resource Translation for Indo-European Languages Shared TaskCode0
Unsupervised Chunking as Syntactic Structure Induction with a Knowledge-Transfer ApproachCode0
Show:102550
← PrevPage 250 of 413Next →
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