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 451–500 of 10307 papers

TitleStatusHype
Beyond Semantic to Instance Segmentation: Weakly-Supervised Instance Segmentation via Semantic Knowledge Transfer and Self-RefinementCode1
Discriminative Feature Alignment: Improving Transferability of Unsupervised Domain Adaptation by Gaussian-guided Latent AlignmentCode1
Disentangled Pre-training for Human-Object Interaction DetectionCode1
Disentangling Spatial and Temporal Learning for Efficient Image-to-Video Transfer LearningCode1
2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data SetsCode1
Adaptive Transfer Learning on Graph Neural NetworksCode1
DistillBEV: Boosting Multi-Camera 3D Object Detection with Cross-Modal Knowledge DistillationCode1
Distilling BlackBox to Interpretable models for Efficient Transfer LearningCode1
Distribution-aware Knowledge Prototyping for Non-exemplar Lifelong Person Re-identificationCode1
Do Adversarially Robust ImageNet Models Transfer Better?Code1
Document AI: A Comparative Study of Transformer-Based, Graph-Based Models, and Convolutional Neural Networks For Document Layout AnalysisCode1
DocXClassifier: High Performance Explainable Deep Network for Document Image ClassificationCode1
BadMerging: Backdoor Attacks Against Model MergingCode1
Domain Adaptation for Time Series Under Feature and Label ShiftsCode1
Domain Adaptation with Invariant Representation Learning: What Transformations to Learn?Code1
Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across CitiesCode1
Bag of Tricks for Image Classification with Convolutional Neural NetworksCode1
Affordance Transfer Learning for Human-Object Interaction DetectionCode1
Active Transfer Learning for Efficient Video-Specific Human Pose EstimationCode1
DoubleU-Net: A Deep Convolutional Neural Network for Medical Image SegmentationCode1
DTBS: Dual-Teacher Bi-directional Self-training for Domain Adaptation in Nighttime Semantic SegmentationCode1
An Empirical Study of Pre-trained Transformers for Arabic Information ExtractionCode1
Duality Diagram Similarity: a generic framework for initialization selection in task transfer learningCode1
Dual-Teacher++: Exploiting Intra-domain and Inter-domain Knowledge with Reliable Transfer for Cardiac SegmentationCode1
A Whisper transformer for audio captioning trained with synthetic captions and transfer learningCode1
AVocaDo: Strategy for Adapting Vocabulary to Downstream DomainCode1
EasyTransfer -- A Simple and Scalable Deep Transfer Learning Platform for NLP ApplicationsCode1
BARThez: a Skilled Pretrained French Sequence-to-Sequence ModelCode1
Accuracy enhancement method for speech emotion recognition from spectrogram using temporal frequency correlation and positional information learning through knowledge transferCode1
Effect of Pre-Training Scale on Intra- and Inter-Domain Full and Few-Shot Transfer Learning for Natural and Medical X-Ray Chest ImagesCode1
Efficient Conditional GAN Transfer with Knowledge Propagation across ClassesCode1
Efficient Crowd Counting via Structured Knowledge TransferCode1
Bilevel Continual LearningCode1
Breaking the Data Barrier -- Building GUI Agents Through Task GeneralizationCode1
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
ChrEn: Cherokee-English Machine Translation for Endangered Language RevitalizationCode1
A Further Study of Unsupervised Pre-training for Transformer Based Speech RecognitionCode1
A fuzzy distance-based ensemble of deep models for cervical cancer detectionCode1
Efficient transfer learning for NLP with ELECTRACode1
EffiSegNet: Gastrointestinal Polyp Segmentation through a Pre-Trained EfficientNet-based Network with a Simplified DecoderCode1
Contour Knowledge Transfer for Salient Object DetectionCode1
Amalgamating Knowledge From Heterogeneous Graph Neural NetworksCode1
Unlocking Emergent Modularity in Large Language ModelsCode1
Enabling Country-Scale Land Cover Mapping with Meter-Resolution Satellite ImageryCode1
Encapsulating Knowledge in One PromptCode1
TTS-Portuguese Corpus: a corpus for speech synthesis in Brazilian PortugueseCode1
Enhancement of price trend trading strategies via image-induced importance weightsCode1
Omnidirectional Transfer for Quasilinear Lifelong LearningCode1
Automatic Dialect Adaptation in Finnish and its Effect on Perceived CreativityCode1
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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