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 8801–8850 of 10307 papers

TitleStatusHype
Solving Neural Field Equations using Physics Informed Neural NetworksCode0
FBDNN: Filter Banks and Deep Neural Networks for Portable and Fast Brain-Computer InterfacesCode0
Self-Supervised Learning with Probabilistic Density Labeling for Rainfall Probability EstimationCode0
A Unified Meta-Learning Framework for Dynamic Transfer LearningCode0
CityTransfer: Transferring Inter- and Intra-City Knowledge for Chain Store Site Recommendation based on Multi-Source Urban DataCode0
CityNet: A Comprehensive Multi-Modal Urban Dataset for Advanced Research in Urban ComputingCode0
Fast Solar Image Classification Using Deep Learning and its Importance for Automation in Solar PhysicsCode0
DeepPavlov at SemEval-2024 Task 8: Leveraging Transfer Learning for Detecting Boundaries of Machine-Generated TextsCode0
CIFAR-10 Image Classification Using Feature EnsemblesCode0
Generalizable Local Feature Pre-training for Deformable Shape AnalysisCode0
Choice Fusion as Knowledge for Zero-Shot Dialogue State TrackingCode0
OptAGAN: Entropy-based finetuning on text VAE-GANCode0
Region Invariant Normalizing Flows for Mobility TransferCode0
Semi-supervised machine learning model for analysis of nanowire morphologies from transmission electron microscopy imagesCode0
Deep Optimal Transport for Domain Adaptation on SPD ManifoldsCode0
Regression-Oriented Knowledge Distillation for Lightweight Ship Orientation Angle Prediction with Optical Remote Sensing ImagesCode0
Deep Nonparametric Conditional Independence Tests for ImagesCode0
An Intrusion Response System utilizing Deep Q-Networks and System PartitionsCode0
Regret-Optimal Federated Transfer Learning for Kernel Regression with Applications in American Option PricingCode0
Deep Neural Networks Under StressCode0
Optimal Projection Guided Transfer Hashing for Image RetrievalCode0
Aff-Wild Database and AffWildNetCode0
SOSELETO: A Unified Approach to Transfer Learning and Training with Noisy LabelsCode0
Managing Household Waste through Transfer LearningCode0
Training-Free Acceleration of ViTs with Delayed Spatial MergingCode0
Self-supervised Pre-training of Text RecognizersCode0
Manifold Characteristics That Predict Downstream Task PerformanceCode0
Generalization Through The Lens Of Leave-One-Out ErrorCode0
Generalized Adaptive Transfer Network: Enhancing Transfer Learning in Reinforcement Learning Across DomainsCode0
Manifold Criterion Guided Transfer Learning via Intermediate Domain GenerationCode0
Generalized Block-Diagonal Structure Pursuit: Learning Soft Latent Task Assignment against Negative TransferCode0
Manifold Embedded Knowledge Transfer for Brain-Computer InterfacesCode0
Faster Reinforcement Learning Using Active SimulatorsCode0
Aesthetic Attributes Assessment of ImagesCode0
Manipulating Transfer Learning for Property InferenceCode0
Fast deep learning correspondence for neuron tracking and identification in C.elegans using synthetic trainingCode0
Generalized Funnelling: Ensemble Learning and Heterogeneous Document Embeddings for Cross-Lingual Text ClassificationCode0
An Information-Theoretic Metric of Transferability for Task Transfer LearningCode0
Deep Neural Network Fingerprinting by Conferrable Adversarial ExamplesCode0
Fast Enhanced CT Metal Artifact Reduction using Data Domain Deep LearningCode0
Optimistic Linear Support and Successor Features as a Basis for Optimal Policy TransferCode0
Rehearsal-Free Modular and Compositional Continual Learning for Language ModelsCode0
Deep Model Transferability from Attribution MapsCode0
Optimization with Access to Auxiliary InformationCode0
Generalizing Few-Shot Named Entity Recognizers to Unseen Domains with Type-Related FeaturesCode0
Generalizing over Long Tail Concepts for Medical Term NormalizationCode0
Generalizing Teacher Networks for Effective Knowledge Distillation Across Student ArchitecturesCode0
Subspace Network: Deep Multi-Task Censored Regression for Modeling Neurodegenerative DiseasesCode0
Deep Metric Transfer for Label Propagation with Limited Annotated DataCode0
General-Purpose Deep Point Cloud Feature ExtractorCode0
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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