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 9301–9325 of 10307 papers

TitleStatusHype
Fast Approach to Build an Automatic Sentiment Annotator for Legal Domain using Transfer Learning—0
Transfer Learning via Unsupervised Task Discovery for Visual Question AnsweringCode0
Target Aware Network Adaptation for Efficient Representation Learning—0
A Simple yet Effective Joint Training Method for Cross-Lingual Universal Dependency Parsing—0
Learning Representations for Detecting Abusive Language—0
Syntax-based Transfer Learning for the Task of Biomedical Relation Extraction—0
Phonological Features for Morphological Inflection—0
Did you offend me? Classification of Offensive Tweets in Hinglish LanguageCode0
Adversarial Transfer Learning for Chinese Named Entity Recognition with Self-Attention MechanismCode0
The JHU/KyotoU Speech Translation System for IWSLT 2018—0
Learning Unsupervised Word Translations Without Adversaries—0
CUNI Basque-to-English Submission in IWSLT18—0
Continuous Word Embedding Fusion via Spectral Decomposition—0
Exploring Named Entity Recognition As an Auxiliary Task for Slot Filling in Conversational Language Understanding—0
Adapting Multilingual NMT to Extremely Low Resource Languages FBK’s Participation in the Basque-English Low-Resource MT Task, IWSLT 2018—0
Hunter NMT System for WMT18 Biomedical Translation Task: Transfer Learning in Neural Machine Translation—0
Improving Multi-label Emotion Classification via Sentiment Classification with Dual Attention Transfer Network—0
Similarity-Based Reconstruction Loss for Meaning Representation—0
Learning Text Representations for 500K Classification Tasks on Named Entity DisambiguationCode0
Language Independent Sentiment Analysis with Sentiment-Specific Word Embeddings—0
An Interpretable Neural Network with Topical Information for Relevant Emotion Ranking—0
The SLT-Interactions Parsing System at the CoNLL 2018 Shared Task—0
Transfer and Multi-Task Learning for Noun--Noun Compound Interpretation—0
Posture recognition using an RGB-D camera : exploring 3D body modeling and deep learning approaches—0
Bayesian Transfer Reinforcement Learning with Prior Knowledge Rules—0
Show:102550
← PrevPage 373 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