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

Showing 26012650 of 10307 papers

TitleStatusHype
Development of CNN Architectures using Transfer Learning Methods for Medical Image Classification0
Bayesian Experience Reuse for Learning from Multiple Demonstrators0
Bayesian Discovery of Multiple Bayesian Networks via Transfer Learning0
An Automated Knowledge Mining and Document Classification System with Multi-model Transfer Learning0
Bayesian adaptive learning to latent variables via Variational Bayes and Maximum a Posteriori0
BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation0
An Automated Deep Learning Approach for Bacterial Image Classification0
Addressing Challenges in Data Quality and Model Generalization for Malaria Detection0
An Audio-Video Deep and Transfer Learning Framework for Multimodal Emotion Recognition in the wild0
A Comprehensive Evaluation Study on Risk Level Classification of Melanoma by Computer Vision on ISIC 2016-2020 Datasets0
An Audio-Based Fault Diagnosis Method for Quadrotors Using Convolutional Neural Network and Transfer Learning0
Basis Scaling and Double Pruning for Efficient Inference in Network-Based Transfer Learning0
Addressing Asymmetry in Multilingual Neural Machine Translation with Fuzzy Task Clustering0
Development and Comparison of Scoring Functions in Curriculum Learning0
Development of a High Fidelity Simulator for Generalised Photometric Based Space Object Classification using Machine Learning0
Development of Deep Transformer-Based Models for Long-Term Prediction of Transient Production of Oil Wells0
Basic Level Categorization Facilitates Visual Object Recognition0
Baselines for Reinforcement Learning in Text Games0
An Attention-based Weakly Supervised framework for Spitzoid Melanocytic Lesion Diagnosis in WSI0
BarlowTwins-CXR : Enhancing Chest X-Ray abnormality localization in heterogeneous data with cross-domain self-supervised learning0
A bandit approach to curriculum generation for automatic speech recognition0
Banana Sub-Family Classification and Quality Prediction using Computer Vision0
Anomaly Detection in Images0
Banana Ripeness Level Classification using a Simple CNN Model Trained with Real and Synthetic Datasets0
BANANA at WNUT-2020 Task 2: Identifying COVID-19 Information on Twitter by Combining Deep Learning and Transfer Learning Models0
Developing High Quality Training Samples for Deep Learning Based Local Climate Zone Classification in Korea0
Developmental Bayesian Optimization of Black-Box with Visual Similarity-Based Transfer Learning0
Balancing Exploration and Exploitation in LLM using Soft RLLF for Enhanced Negation Understanding0
Balancing Data through Data Augmentation Improves the Generality of Transfer Learning for Diabetic Retinopathy Classification0
Balancing Accuracy and Training Time in Federated Learning for Violence Detection in Surveillance Videos: A Study of Neural Network Architectures0
Balanced Semi-Supervised Generative Adversarial Network for Damage Assessment from Low-Data Imbalanced-Class Regime0
Anatomical Consistency Distillation and Inconsistency Synthesis for Brain Tumor Segmentation with Missing Modalities0
Additional Positive Enables Better Representation Learning for Medical Images0
Balanced Multi-modal Federated Learning via Cross-Modal Infiltration0
Balanced Multi-Factor In-Context Learning for Multilingual Large Language Models0
An Approach Towards Identifying Bangladeshi Leaf Diseases through Transfer Learning and XAI0
Anaphoric Zero Pronoun Identification: A Multilingual Approach0
Balanced Distribution Adaptation for Transfer Learning0
Additional Look into GAN-based Augmentation for Deep Learning COVID-19 Image Classification0
A Comprehensive Analysis of Information Leakage in Deep Transfer Learning0
Developing efficient transfer learning strategies for robust scene recognition in mobile robotics using pre-trained convolutional neural networks0
DeviceBERT: Applied Transfer Learning With Targeted Annotations and Vocabulary Enrichment to Identify Medical Device and Component Terminology in FDA Recall Summaries0
Bailong: Bilingual Transfer Learning based on QLoRA and Zip-tie Embedding0
An analytic theory of generalization dynamics and transfer learning in deep linear networks0
BadPre: Task-agnostic Backdoor Attacks to Pre-trained NLP Foundation Models0
An analysis of the transfer learning of convolutional neural networks for artistic images0
Adding more data does not always help: A study in medical conversation summarization with PEGASUS0
BactInt: A domain driven transfer learning approach and a corpus for extracting inter-bacterial interactions from biomedical text0
Background-Foreground Segmentation for Interior Sensing in Automotive Industry0
A Composite Fault Diagnosis Model for NPPs Based on Bayesian-EfficientNet Module0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1APCLIPAccuracy84.2Unverified
2DFA-ENTAccuracy69.2Unverified
3DFA-SAFNAccuracy69.1Unverified
4EasyTLAccuracy63.3Unverified
5MEDAAccuracy60.3Unverified
#ModelMetricClaimedVerifiedStatus
1CNN10-20% Mask PSNR3.23Unverified
#ModelMetricClaimedVerifiedStatus
1Chatterjee, Dutta et al.[1]Accuracy96.12Unverified
#ModelMetricClaimedVerifiedStatus
1Co-TuningAccuracy85.65Unverified
#ModelMetricClaimedVerifiedStatus
1Physical AccessEER5.74Unverified
#ModelMetricClaimedVerifiedStatus
1riadd.aucmediAUROC0.95Unverified