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 7951–8000 of 10307 papers

TitleStatusHype
A Permutation-Invariant Representation of Neural Networks with Neuron Embeddings—0
A Petri Dish for Histopathology Image Analysis—0
A physics-based domain adaptation framework for modelling and forecasting building energy systems—0
A Physics-driven GraphSAGE Method for Physical Process Simulations Described by Partial Differential Equations—0
A Physics-preserved Transfer Learning Method for Differential Equations—0
A Point in the Right Direction: Vector Prediction for Spatially-aware Self-supervised Volumetric Representation Learning—0
Apple Leaf Disease Identification through Region-of-Interest-Aware Deep Convolutional Neural Network—0
Application of Artificial Intelligence in the Classification of Microscopical Starch Images for Drug Formulation—0
Application of DenseNet in Camera Model Identification and Post-processing Detection—0
Application of Low-resource Machine Translation Techniques to Russian-Tatar Language Pair—0
Application of Transfer Learning and Ensemble Learning in Image-level Classification for Breast Histopathology—0
Application of Transfer Learning Approaches in Multimodal Wearable Human Activity Recognition—0
Applied Computer Vision on 2-Dimensional Lung X-Ray Images for Assisted Medical Diagnosis of Pneumonia—0
Applying Deep Neural Networks to automate visual verification of manual bracket installations in aerospace—0
Applying Knowledge Transfer for Water Body Segmentation in Peru—0
Applying Transfer Learning for Improving Domain-Specific Search Experience Using Query to Question Similarity—0
Applying Transfer Learning To Deep Learned Models For EEG Analysis—0
Approaches for enhancing extrapolability in process-based and data-driven models in hydrology—0
Approaching Neural Chinese Word Segmentation as a Low-Resource Machine Translation Task—0
Approximated Prompt Tuning for Vision-Language Pre-trained Models—0
Approximate Grassmannian Intersections: Subspace-Valued Subspace Learning—0
Approximation by non-symmetric networks for cross-domain learning—0
A Practical Approach towards Causality Mining in Clinical Text using Active Transfer Learning—0
A Practical Guide to Fine-tuning Language Models with Limited Data—0
A predictive physics-aware hybrid reduced order model for reacting flows—0
A Preliminary Study on Environmental Sound Classification Leveraging Large-Scale Pretrained Model and Semi-Supervised Learning—0
A Pretrained DenseNet Encoder for Brain Tumor Segmentation—0
A Primer on Pretrained Multilingual Language Models—0
A Prior Knowledge Based Tumor and Tumoral Subregion Segmentation Tool for Pediatric Brain Tumors—0
A privacy-preserving data storage and service framework based on deep learning and blockchain for construction workers' wearable IoT sensors—0
A Privacy-Preserving Domain Adversarial Federated learning for multi-site brain functional connectivity analysis—0
A Privacy-Preserving Framework with Multi-Modal Data for Cross-Domain Recommendation—0
A Probabilistic Approach to Knowledge Translation—0
A probabilistic constrained clustering for transfer learning and image category discovery—0
A Progressive Transformer for Unifying Binary Code Embedding and Knowledge Transfer—0
A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT—0
A Proper Orthogonal Decomposition approach for parameters reduction of Single Shot Detector networks—0
A Quantum Neural Network Transfer-Learning Model for Forecasting Problems with Continuous and Discrete Variables—0
A QUBO Framework for Team Formation—0
A Question Answering Based Pipeline for Comprehensive Chinese EHR Information Extraction—0
Arabic Text Diacritization In The Age Of Transfer Learning: Token Classification Is All You Need—0
A Real Use Case of Semi-Supervised Learning for Mammogram Classification in a Local Clinic of Costa Rica—0
A Recurrent Neural Network Approach to the Answering Machine Detection Problem—0
Neuronal and structural differentiation in the emergence of abstract rules in hierarchically modulated spiking neural networks—0
A relic sketch extraction framework based on detail-aware hierarchical deep network—0
A resource-efficient method for repeated HPO and NAS problems—0
A Reusable AI-Enabled Defect Detection System for Railway Using Ensembled CNN—0
A Review of Artificial Intelligence Technologies for Early Prediction of Alzheimer's Disease—0
A Review of Automated Diagnosis of COVID-19 Based on Scanning Images—0
A Survey of Fish Tracking Techniques Based on Computer Vision—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