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

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Showing 5551–5600 of 10307 papers

TitleStatusHype
CloudRCA: A Root Cause Analysis Framework for Cloud Computing Platforms—0
Disengagement Cause-and-Effect Relationships Extraction Using an NLP Pipeline—0
Successor Feature Neural Episodic Control—0
Generalized Radiograph Representation Learning via Cross-supervision between Images and Free-text Radiology ReportsCode1
Parameterized Knowledge Transfer for Personalized Federated LearningCode1
MT3: Multi-Task Multitrack Music TranscriptionCode1
On the Application of Data-Driven Deep Neural Networks in Linear and Nonlinear Structural Dynamics—0
Skin Cancer Classification using Inception Network and Transfer Learning—0
Sentence encoding for Dialogue Act classification—0
Deep Learning Algorithms for Hedging with FrictionsCode0
Callee: Recovering Call Graphs for Binaries with Transfer and Contrastive LearningCode1
Adapting to the Long Tail: A Meta-Analysis of Transfer Learning Research for Language Understanding TasksCode0
Detection of Hate Speech using BERT and Hate Speech Word Embedding with Deep Model—0
Characterizing and Understanding the Generalization Error of Transfer Learning with Gibbs Algorithm—0
Predicting the Location of Bicycle-sharing Stations using OpenStreetMap DataCode0
Pivot Based Transfer Learning for Neural Machine Translation: CFILT IITB @ WMT 2021 Triangular MT—0
Language Model Pretraining and Transfer Learning for Very Low Resource Languages—0
NRC-CNRC Systems for Upper Sorbian-German and Lower Sorbian-German Machine Translation 2021—0
Quality Estimation Using Dual Encoders with Transfer Learning—0
Adam Mickiewicz University’s English-Hausa Submissions to the WMT 2021 News Translation Task—0
Transfer Learning with Shallow Decoders: BSC at WMT2021’s Multilingual Low-Resource Translation for Indo-European Languages Shared TaskCode0
TenTrans Multilingual Low-Resource Translation System for WMT21 Indo-European Languages Task—0
Multi-Domain Multilingual Question AnsweringCode1
Fine-grained Temporal Relation Extraction with Ordered-Neuron LSTM and Graph Convolutional Networks—0
ParsTwiNER: A Corpus for Named Entity Recognition at Informal PersianCode1
Exploring Pre-Trained Transformers and Bilingual Transfer Learning for Arabic Coreference ResolutionCode0
Sequence Mixup for Zero-Shot Cross-Lingual Part-Of-Speech Tagging—0
Learning Cross-lingual Representations for Event Coreference Resolution with Multi-view Alignment and Optimal Transport—0
The Global Banking Standards QA Dataset (GBS-QA)—0
Wasserstein Selective Transfer Learning for Cross-domain Text Mining—0
Wino-X: Multilingual Winograd Schemas for Commonsense Reasoning and Coreference ResolutionCode0
Meta Distant Transfer Learning for Pre-trained Language Models—0
Come hither or go away? Recognising pre-electoral coalition signals in the news—0
PDALN: Progressive Domain Adaptation over a Pre-trained Model for Low-Resource Cross-Domain Named Entity Recognition—0
Mapping probability word problems to executable representations—0
Machine Reading Comprehension as Data Augmentation: A Case Study on Implicit Event Argument Extraction—0
Crosslingual Transfer Learning for Relation and Event Extraction via Word Category and Class Alignments—0
Lifelong Event Detection with Knowledge TransferCode1
CVAE-based Re-anchoring for Implicit Discourse Relation Classification—0
Active Learning for Rumor Identification on Social Media—0
Japanese Zero Anaphora Resolution Can Benefit from Parallel Texts Through Neural Transfer Learning—0
Improving Unsupervised Commonsense Reasoning Using Knowledge-Enabled Natural Language Inference—0
Unsupervised Chunking as Syntactic Structure Induction with a Knowledge-Transfer ApproachCode0
jurBERT: A Romanian BERT Model for Legal Judgement Prediction—0
Developing Conversational Data and Detection of Conversational Humor in Telugu—0
Limitations of Knowledge Distillation for Zero-shot Transfer Learning—0
A transfer learning based approach for pronunciation scoringCode1
Evaluating deep transfer learning for whole-brain cognitive decodingCode0
Transfer Learning Approach to Bicycle-sharing Systems' Station Location Planning using OpenStreetMap DataCode0
FinEAS: Financial Embedding Analysis of SentimentCode1
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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