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 451–500 of 10307 papers

TitleStatusHype
Domain Adaptation for Time Series Under Feature and Label ShiftsCode1
Domain Adaptation of Thai Word Segmentation Models using Stacked EnsembleCode1
Bayesian Optimization with Automatic Prior Selection for Data-Efficient Direct Policy SearchCode1
AP-10K: A Benchmark for Animal Pose Estimation in the WildCode1
A proposal for Multimodal Emotion Recognition using aural transformers and Action Units on RAVDESS datasetCode1
WONDERBREAD: A Benchmark for Evaluating Multimodal Foundation Models on Business Process Management TasksCode1
Do Vision Transformers See Like Convolutional Neural Networks?Code1
DREAM+: Efficient Dataset Distillation by Bidirectional Representative MatchingCode1
Anonymization of labeled TOF-MRA images for brain vessel segmentation using generative adversarial networksCode1
DTL: Disentangled Transfer Learning for Visual RecognitionCode1
Dual-Teacher++: Exploiting Intra-domain and Inter-domain Knowledge with Reliable Transfer for Cardiac SegmentationCode1
Dual Transfer Learning for Event-based End-task Prediction via Pluggable Event to Image TranslationCode1
AFEC: Active Forgetting of Negative Transfer in Continual LearningCode1
Beyond Self-Supervision: A Simple Yet Effective Network Distillation Alternative to Improve BackbonesCode1
EasyTransfer -- A Simple and Scalable Deep Transfer Learning Platform for NLP ApplicationsCode1
Anomaly Detection of Defect using Energy of Point Pattern Features within Random Finite Set FrameworkCode1
An Uncertainty-aware Transfer Learning-based Framework for Covid-19 DiagnosisCode1
Affordance Transfer Learning for Human-Object Interaction DetectionCode1
Active Transfer Learning for Efficient Video-Specific Human Pose EstimationCode1
EEG-Reptile: An Automatized Reptile-Based Meta-Learning Library for BCIsCode1
Continual Learning via Local Module CompositionCode1
An Empirical Study of Pre-trained Transformers for Arabic Information ExtractionCode1
Continual Sequence Generation with Adaptive Compositional ModulesCode1
Efficient Adaptation of Large Vision Transformer via Adapter Re-ComposingCode1
BirdSAT: Cross-View Contrastive Masked Autoencoders for Bird Species Classification and MappingCode1
BIOSCAN-5M: A Multimodal Dataset for Insect BiodiversityCode1
BiToD: A Bilingual Multi-Domain Dataset For Task-Oriented Dialogue ModelingCode1
EfficientFER: EfficientNetv2 Based Deep Learning Approach for Facial Expression RecognitionCode1
Accuracy enhancement method for speech emotion recognition from spectrogram using temporal frequency correlation and positional information learning through knowledge transferCode1
Boosted Neural Decoders: Achieving Extreme Reliability of LDPC Codes for 6G NetworksCode1
Efficient Training of Large Vision Models via Advanced Automated Progressive LearningCode1
Efficient transfer learning for NLP with ELECTRACode1
Convolutional Bypasses Are Better Vision Transformer AdaptersCode1
Cross-Layer Distillation with Semantic CalibrationCode1
AdaBoost-CNN: An adaptive boosting algorithm for convolutional neural networks to classify multi-class imbalanced datasets using transfer learningCode1
Active, Continual Fine Tuning of Convolutional Neural Networks for Reducing Annotation EffortsCode1
Unlocking Emergent Modularity in Large Language ModelsCode1
A Further Study of Unsupervised Pre-training for Transformer Based Speech RecognitionCode1
A fuzzy distance-based ensemble of deep models for cervical cancer detectionCode1
Emotion Recognition from Speech Using Wav2vec 2.0 EmbeddingsCode1
Boosting Weakly Supervised Object Detection via Learning Bounding Box AdjustersCode1
Boosting Weakly Supervised Object Detection with Progressive Knowledge TransferCode1
Encapsulating Knowledge in One PromptCode1
End-to-end lyrics Recognition with Voice to Singing Style TransferCode1
Deepfake Videos in the Wild: Analysis and DetectionCode1
Enhancing Traffic Safety with Parallel Dense Video Captioning for End-to-End Event AnalysisCode1
BrainWave: A Brain Signal Foundation Model for Clinical ApplicationsCode1
Breaking the Data Barrier -- Building GUI Agents Through Task GeneralizationCode1
Omnidirectional Transfer for Quasilinear Lifelong LearningCode1
Position: Considerations for Differentially Private Learning with Large-Scale Public PretrainingCode1
Show:102550
← PrevPage 10 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