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 5301–5350 of 10307 papers

TitleStatusHype
A Data-Driven Approach to Improve 3D Head-Pose Estimation—0
Representation Learning via Consistent Assignment of Views to ClustersCode0
Representation Topology Divergence: A Method for Comparing Neural Network RepresentationsCode1
Data-Free Knowledge Transfer: A Survey—0
Transfer learning for cancer diagnosis in histopathological images—0
Transfer learning of phase transitions in percolation and directed percolation—0
A Theoretical Understanding of Gradient Bias in Meta-Reinforcement LearningCode0
Enhanced dynamic sign language recognition using slowfast networks—0
A proposal for Multimodal Emotion Recognition using aural transformers and Action Units on RAVDESS datasetCode1
On the Role of Neural Collapse in Transfer Learning—0
Improving the Behaviour of Vision Transformers with Token-consistent Stochastic Layers—0
Deep Transfer-Learning for patient specific model re-calibration: Application to sEMG-Classification—0
THE Benchmark: Transferable Representation Learning for Monocular Height Estimation—0
Confidence-Aware Multi-Teacher Knowledge DistillationCode1
PowerGraph: Using neural networks and principal components to determine multivariate statistical power trade-offs—0
Feature matching as improved transfer learning technique for wearable EEG—0
Fine-Tuning Transformers: Vocabulary TransferCode1
A transfer learning enhanced the physics-informed neural network model for vortex-induced vibration—0
Cross-Domain Open-Set Machinery Fault Diagnosis Based on Adversarial Network With Multiple Auxiliary Classifiers—0
Mythological Medical Machine Learning: Boosting the Performance of a Deep Learning Medical Data Classifier Using Realistic Physiological Models—0
Parameter Differentiation based Multilingual Neural Machine TranslationCode1
Delivery Issues Identification from Customer Feedback Data—0
Spoiler in a Textstack: How Much Can Transformers Help?—0
The Curse of Zero Task Diversity: On the Failure of Transfer Learning to Outperform MAML and their Empirical Equivalence—0
Faster Deep Ensemble Averaging for Quantification of DNA Damage from Comet Assay Images With Uncertainty Estimates—0
Distilling the Knowledge of Romanian BERTs Using Multiple TeachersCode0
Dual Path Structural Contrastive Embeddings for Learning Novel Objects—0
Domain Adaptation with Pre-trained Transformers for Query Focused Abstractive Text SummarizationCode0
Toward Educator-focused Automated Scoring Systems for Reading and Writing—0
The Changing Role of Entrepreneurial Universities in the Altering Innovation Policy: Opportunities Arising from the Paradigm Change in Light of the Experience of Széchenyi István University—0
Data-Driven Outage Restoration Time Prediction via Transfer Learning with Cluster Ensembles—0
FedPOIRec: Privacy Preserving Federated POI Recommendation with Social Influence—0
A Vision-based Solution for Track Misalignment Detection—0
Evaluation and Comparison of Deep Learning Methods for Pavement Crack Identification with Visual ImagesCode0
Rethinking Importance Weighting for Transfer Learning—0
TECM: Transfer Learning-based Evidential C-Means Clustering—0
Cascading Adaptors to Leverage English Data to Improve Performance of Question Answering for Low-Resource LanguagesCode0
Continual Learning with Knowledge Transfer for Sentiment ClassificationCode1
Learning to Win Lottery Tickets in BERT Transfer via Task-agnostic Mask Training—0
AutoTransfer: Subject Transfer Learning with Censored Representations on Biosignals Data—0
Pixel Distillation: A New Knowledge Distillation Scheme for Low-Resolution Image RecognitionCode1
PeopleSansPeople: A Synthetic Data Generator for Human-Centric Computer VisionCode1
Human-vehicle Cooperative Visual Perception for Autonomous Driving under Complex Road and Traffic Scenarios—0
Predicting Shallow Water Dynamics using Echo-State Networks with Transfer Learning—0
An Empirical Study on Transfer Learning for Privilege Review—0
Monitoring crop phenology with street-level imagery using computer vision—0
Search for temporal cell segmentation robustness in phase-contrast microscopy videosCode1
Connecting the Dots between Audio and Text without Parallel Data through Visual Knowledge TransferCode1
Learning from Guided Play: A Scheduled Hierarchical Approach for Improving Exploration in Adversarial Imitation LearningCode1
RegionCLIP: Region-based Language-Image PretrainingCode1
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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