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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 6951–7000 of 10307 papers

TitleStatusHype
Single Image Action Recognition by Predicting Space-Time Saliency—0
Size doesn't matter: predicting physico- or biochemical properties based on dozens of molecules—0
Size Independent Neural Transfer for RDDL Planning—0
SkeleTR: Towards Skeleton-based Action Recognition in the Wild—0
SkeleTR: Towrads Skeleton-based Action Recognition in the Wild—0
Sketch-a-Classifier: Sketch-based Photo Classifier Generation—0
Skilful Precipitation Nowcasting Using NowcastNet—0
Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity—0
Skin Cancer Classification using Inception Network and Transfer Learning—0
Skin Cancer Images Classification using Transfer Learning Techniques—0
Skin cancer reorganization and classification with deep neural network—0
Skin Disease Detection and Classification of Actinic Keratosis and Psoriasis Utilizing Deep Transfer Learning—0
Skin Lesion Analyser: An Efficient Seven-Way Multi-Class Skin Cancer Classification Using MobileNet—0
SKoPe3D: A Synthetic Dataset for Vehicle Keypoint Perception in 3D from Traffic Monitoring Cameras—0
SLABERT Talk Pretty One Day: Modeling Second Language Acquisition with BERT—0
Slash or burn: Power line and vegetation classification for wildfire prevention—0
Sleep Position Classification using Transfer Learning for Bed-based Pressure Sensors—0
SleepPPG-Net: a deep learning algorithm for robust sleep staging from continuous photoplethysmography—0
SLoRA: Federated Parameter Efficient Fine-Tuning of Language Models—0
Small Object Detection: A Comprehensive Survey on Challenges, Techniques and Real-World Applications—0
Småprat: DialoGPT for Natural Language Generation of Swedish Dialogue by Transfer Learning—0
Smart Augmentation - Learning an Optimal Data Augmentation Strategy—0
Smart City Development with Urban Transfer Learning—0
SmartFPS: Neural Network based Wireless-inertial fusion positioning system—0
Smart Irrigation IoT Solution using Transfer Learning for Neural Networks—0
Smart Knowledge Transfer using Google-like Search—0
Smartphone App Usage Prediction Using Points of Interest—0
Smartphone-Based Test and Predictive Models for Rapid, Non-Invasive, and Point-of-Care Monitoring of Ocular and Cardiovascular Complications Related to Diabetes—0
SMC Faster R-CNN: Toward a scene-specialized multi-object detector—0
SMC-UDA: Structure-Modal Constraint for Unsupervised Cross-Domain Renal Segmentation—0
Smile, Be Happy :) Emoji Embedding for Visual Sentiment Analysis—0
Smile detection in the wild based on transfer learning—0
SMILE: Self-Distilled MIxup for Efficient Transfer LEarning—0
Smoothing Adversarial Domain Attack and P-Memory Reconsolidation for Cross-Domain Person Re-Identification—0
Smoothness Adaptive Hypothesis Transfer Learning—0
sMRI-PatchNet: A novel explainable patch-based deep learning network for Alzheimer's disease diagnosis and discriminative atrophy localisation with Structural MRI—0
SNN: Stacked Neural Networks—0
CrAFT: Compression-Aware Fine-Tuning for Efficient Visual Task Adaptation—0
SOAC: The Soft Option Actor-Critic Architecture—0
SoccerKDNet: A Knowledge Distillation Framework for Action Recognition in Soccer Videos—0
Social IQa: Commonsense Reasoning about Social Interactions—0
Social Learning: Towards Collaborative Learning with Large Language Models—0
SODA:Service Oriented Domain Adaptation Architecture for Microblog Categorization—0
Soft Prompt Guided Joint Learning for Cross-Domain Sentiment Analysis—0
Soft Representation Learning for Sparse Transfer—0
Software Vulnerability Prediction Knowledge Transferring Between Programming Languages—0
SOLA-GCL: Subgraph-Oriented Learnable Augmentation Method for Graph Contrastive Learning—0
SolNet: Open-source deep learning models for photovoltaic power forecasting across the globe—0
Solvable Model for Inheriting the Regularization through Knowledge Distillation—0
Solving Euler equations with Multiple Discontinuities via Separation-Transfer Physics-Informed Neural Networks—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