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 4051–4100 of 10307 papers

TitleStatusHype
Framework Construction of an Adversarial Federated Transfer Learning Classifier—0
Cross-lingual Transfer Learning for Check-worthy Claim Identification over Twitter—0
Variational Quantum Kernels with Task-Specific Quantum Metric Learning—0
Classification of Colorectal Cancer Polyps via Transfer Learning and Vision-Based Tactile Sensing—0
Towards Algorithmic Fairness in Space-Time: Filling in Black Holes—0
From fat droplets to floating forests: cross-domain transfer learning using a PatchGAN-based segmentation model—0
Reducing Down(stream)time: Pretraining Molecular GNNs using Heterogeneous AI AcceleratorsCode0
Understanding the Role of Mixup in Knowledge Distillation: An Empirical StudyCode0
When & How to Transfer with Transfer LearningCode0
A Semiparametric Efficient Approach To Label Shift Estimation and Quantification—0
Learning Causal Representations of Single Cells via Sparse Mechanism Shift ModelingCode1
Debiasing Graph Transfer Learning via Item Semantic Clustering for Cross-Domain RecommendationsCode0
Rotation-equivariant Graph Neural Networks for Learning Glassy Liquids Representations—0
Enabling Deep Learning-based Physical-layer Secret Key Generation for FDD-OFDM Systems in Multi-Environments—0
Motion Style Transfer: Modular Low-Rank Adaptation for Deep Motion ForecastingCode1
1-D Convolutional Graph Convolutional Networks for Fault Detection in Distributed Energy Systems—0
A Data-Driven Evolutionary Transfer Optimization for Expensive Problems in Dynamic Environments—0
Integrated Parameter-Efficient Tuning for General-Purpose Audio ModelsCode0
Resource-Efficient Transfer Learning From Speech Foundation Model Using Hierarchical Feature Fusion—0
Rethinking the transfer learning for FCN based polyp segmentation in colonoscopyCode0
Unsupervised Visual Representation Learning via Mutual Information Regularized AssignmentCode0
Transformers on Multilingual Clause-Level MorphologyCode0
Sky-image-based solar forecasting using deep learning with multi-location data: training models locally, globally or via transfer learning?Code2
Conditional Generative Models for Simulation of EMG During Naturalistic MovementsCode1
Overcoming Barriers to Skill Injection in Language Modeling: Case Study in ArithmeticCode0
Could Giant Pretrained Image Models Extract Universal Representations?—0
Private Semi-supervised Knowledge Transfer for Deep Learning from Noisy Labels—0
MuMIC -- Multimodal Embedding for Multi-label Image Classification with Tempered Sigmoid—0
Phoneme Segmentation Using Self-Supervised Speech ModelsCode1
Low-Resource Music Genre Classification with Cross-Modal Neural Model ReprogrammingCode1
DEArt: Dataset of European Art—0
Mandarin-English Code-Switching Speech Recognition System for Specific Domain—0
Taiwanese-Accented Mandarin and English Multi-Speaker Talking-Face Synthesis System—0
A Study on Using Different Audio Lengths in Transfer Learning for Improving Chainsaw Sound Recognition—0
Transfer learning and Local interpretable model agnostic based visual approach in Monkeypox Disease Detection and Classification: A Deep Learning insights—0
Fine-tuned Generative Adversarial Network-based Model for Medical Image Super-Resolution—0
An Empirical Study on Data Leakage and Generalizability of Link Prediction Models for Issues and Commits—0
Transfer Learning with Physics-Informed Neural Networks for Efficient Simulation of Branched FlowsCode0
Beyond Not-Forgetting: Continual Learning with Backward Knowledge Transfer—0
Transfer Learning with Kernel Methods—0
Amplifying Membership Exposure via Data PoisoningCode1
Effective Cross-Task Transfer Learning for Explainable Natural Language Inference with T5Code0
Confidence-Nets: A Step Towards better Prediction Intervals for regression Neural Networks on small datasets—0
Teacher-Student Network for 3D Point Cloud Anomaly Detection with Few Normal Samples—0
Teacher-student curriculum learning for reinforcement learning—0
Improving Cause-of-Death Classification from Verbal Autopsy Reports—0
Actionable Phrase Detection using NLP—0
Transfer Learning with Synthetic Corpora for Spatial Role Labeling and ReasoningCode0
A simple, efficient and scalable contrastive masked autoencoder for learning visual representationsCode1
Few-shot Image Generation via Adaptation-Aware Kernel ModulationCode1
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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