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 5451–5500 of 10307 papers

TitleStatusHype
Sharing to learn and learning to share; Fitting together Meta-Learning, Multi-Task Learning, and Transfer Learning: A meta review—0
Multi-label Iterated Learning for Image Classification with Label AmbiguityCode0
Semi-Online Knowledge DistillationCode0
KTNet: Knowledge Transfer for Unpaired 3D Shape CompletionCode0
Using Language Model to Bootstrap Human Activity Recognition Ambient Sensors Based in Smart HomesCode0
CL-NERIL: A Cross-Lingual Model for NER in Indian LanguagesCode0
CytoImageNet: A large-scale pretraining dataset for bioimage transfer learningCode1
Minimizing subject-dependent calibration for BCI with Riemannian transfer learning—0
Semi-Supervised Learning with Taxonomic LabelsCode1
Component Transfer Learning for Deep RL Based on Abstract RepresentationsCode0
Florence: A New Foundation Model for Computer VisionCode1
Adaptive Transfer Learning: a simple but effective transfer learning—0
Benchmarking Detection Transfer Learning with Vision TransformersCode1
ExT5: Towards Extreme Multi-Task Scaling for Transfer LearningCode2
SSR: An Efficient and Robust Framework for Learning with Unknown Label NoiseCode1
Transfer Learning with Gaussian Processes for Bayesian OptimizationCode0
Effect of Deep Transfer and Multi task Learning on Sperm Abnormality DetectionCode0
Predicting High-Flow Nasal Cannula Failure in an ICU Using a Recurrent Neural Network with Transfer Learning and Input Data Perseveration: A Retrospective Analysis—0
Semi-supervised transfer learning for language expansion of end-to-end speech recognition models to low-resource languages—0
Rethinking Query, Key, and Value Embedding in Vision Transformer under Tiny Model Constraints—0
An Analysis of the Influence of Transfer Learning When Measuring the Tortuosity of Blood VesselsCode0
Combined Scaling for Zero-shot Transfer Learning—0
The Joy of Neural Painting—0
Multimodal Emotion Recognition on RAVDESS Dataset Using Transfer Learning—0
Lifelong Reinforcement Learning with Temporal Logic Formulas and Reward Machines—0
Improving Transferability of Representations via Augmentation-Aware Self-SupervisionCode1
Benchmarking and scaling of deep learning models for land cover image classificationCode1
Merging Models with Fisher-Weighted AveragingCode1
RoBERTuito: a pre-trained language model for social media text in SpanishCode1
Training Neural Networks with Fixed Sparse MasksCode1
Rethinking Drone-Based Search and Rescue with Aerial Person DetectionCode1
TorchGeo: Deep Learning With Geospatial DataCode2
Transfer Learning in Polyp and Endoscopic Tool Segmentation from Colonoscopy ImagesCode0
What does it take to bake a cake? The RecipeRef corpus and anaphora resolution in procedural text—0
Two Front-Ends, One Model : Fusing Heterogeneous Speech Features for Low Resource ASR with Multilingual Pre-Training—0
Hierarchical Recurrent Aggregative Generation for Few-Shot NLG—0
Dynamic Schema Graph Fusion Network for Multi-Domain Dialogue State Tracking—0
An Unsupervised Multiple-Task and Multiple-Teacher Model for Cross-lingual Named Entity RecognitionCode0
IndicBART: A Pre-trained Model for Indic Natural Language Generation—0
Are You Really Okay? A Transfer Learning-based Approach for Identification of Underlying Mental Illnesses—0
Continual Prompt Tuning for Dialog State Tracking—0
Offensive Text Detection Across Languages and Datasets Using Rule-based and Hybrid Methods—0
A Meta-Learning Approach for Few-Shot (Dis)Agreement Identification in Online Discussions—0
IDPG: An Instance-Dependent Prompt Generation Method—0
Freezing the Pivot for Triangular Machine Translation—0
Data-adaptive Transfer Learning for Low-resource Translation: A Case Study in Haitian—0
Sharper Reasons: Argument Mining Leveraged with Confluent Knowledge—0
Composable Sparse Fine-Tuning for Cross-Lingual Transfer—0
S^4-Tuning: A Simple Cross-lingual Sub-network Tuning Method—0
DAML: Chinese Named Entity Recognition with a fusion method of data-augmentation and meta-learning—0
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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