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 3901–3950 of 10307 papers

TitleStatusHype
Post-hoc Uncertainty Learning using a Dirichlet Meta-ModelCode1
HeartBEiT: Vision Transformer for Electrocardiogram Data Improves Diagnostic Performance at Low Sample Sizes—0
Improving generalization in reinforcement learning through forked agents—0
Position: Considerations for Differentially Private Learning with Large-Scale Public PretrainingCode1
Synthetic Image Data for Deep Learning—0
An adaptive human-in-the-loop approach to emission detection of Additive Manufacturing processes and active learning with computer vision—0
Evolutionary Multitasking with Solution Space Cutting for Point Cloud Registration—0
Transfer Learning using Spectral Convolutional Autoencoders on Semi-Regular Surface MeshesCode0
Towards Practical Plug-and-Play Diffusion ModelsCode1
Resolving Semantic Confusions for Improved Zero-Shot DetectionCode1
End-to-End Speech Translation of Arabic to English Broadcast News—0
An AI-Powered VVPAT Counter for Elections in IndiaCode0
Transfer Learning Enhanced DeepONet for Long-Time Prediction of Evolution EquationsCode1
Augmenting Knowledge Transfer across GraphsCode0
EEG-NeXt: A Modernized ConvNet for The Classification of Cognitive Activity from EEG—0
ConsistTL: Modeling Consistency in Transfer Learning for Low-Resource Neural Machine TranslationCode1
Transfer learning for chemically accurate interatomic neural network potentialsCode0
EASpace: Enhanced Action Space for Policy TransferCode0
Zero-Shot Transfer Learning for Structural Health Monitoring using Generative Adversarial Networks and Spectral MappingCode0
TweetDrought: A Deep-Learning Drought Impacts Recognizer based on Twitter Data—0
Pivotal Role of Language Modeling in Recommender Systems: Enriching Task-specific and Task-agnostic Representation Learning—0
An Efficient Evolutionary Deep Learning Framework Based on Multi-source Transfer Learning to Evolve Deep Convolutional Neural Networks—0
Low-Resource End-to-end Sanskrit TTS using Tacotron2, WaveGlow and Transfer Learning—0
FacT: Factor-Tuning for Lightweight Adaptation on Vision TransformerCode1
Visual Query Tuning: Towards Effective Usage of Intermediate Representations for Parameter and Memory Efficient Transfer LearningCode1
CURO: Curriculum Learning for Relative Overgeneralization—0
MobileTL: On-device Transfer Learning with Inverted Residual Blocks—0
Minimum Class Confusion based Transfer for Land Cover Segmentation in Rural and Urban Regions—0
Malaria Parasitic Detection using a New Deep Boosted and Ensemble Learning Framework—0
Cross-Domain Few-Shot Relation Extraction via Representation Learning and Domain Adaptation—0
LE-UDA: Label-efficient unsupervised domain adaptation for medical image segmentationCode1
Brain Tumor Synthetic Data Generation with Adaptive StyleGANsCode0
Land Use Prediction using Electro-Optical to SAR Few-Shot Transfer Learning—0
FedKNOW: Federated Continual Learning with Signature Task Knowledge Integration at Edge—0
Domain-Invariant Feature Alignment Using Variational Inference For Partial Domain Adaptation—0
Enhanced Gaussian Process Dynamical Models with Knowledge Transfer for Long-term Battery Degradation ForecastingCode1
PGFed: Personalize Each Client's Global Objective for Federated LearningCode0
Few-Shot Nested Named Entity Recognition—0
Fair Generative Models via Transfer LearningCode0
Coevolutionary Framework for Generalized Multimodal Multi-objective OptimizationCode0
On the Energy and Communication Efficiency Tradeoffs in Federated and Multi-Task Learning—0
Video-based Pose-Estimation Data as Source for Transfer Learning in Human Activity Recognition—0
Geometry-Aware Network for Domain Adaptive Semantic Segmentation—0
Quantum median filter for Total Variation image denoising—0
Rethinking Two Consensuses of the Transferability in Deep Learning—0
Finetune like you pretrain: Improved finetuning of zero-shot vision modelsCode1
Overlapping oriented imbalanced ensemble learning method based on projective clustering and stagewise hybrid sampling—0
Explicit Knowledge Transfer for Weakly-Supervised Code Generation—0
From Actions to Events: A Transfer Learning Approach Using Improved Deep Belief Networks—0
ClaRet -- A CNN Architecture for Optical Coherence Tomography—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