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 7801–7850 of 10307 papers

TitleStatusHype
Analysis of the Two-Step Heterogeneous Transfer Learning for Laryngeal Blood Vessel Classification: Issue and Improvement—0
Analysis of three dimensional potential problems in non-homogeneous media with physics-informed deep collocation method using material transfer learning and sensitivity analysis—0
Analysis Towards Classification of Infection and Ischaemia of Diabetic Foot Ulcers—0
Analyzing Customer Feedback for Product Fit Prediction—0
Analyzing Knowledge Transfer in Deep Q-Networks for Autonomously Handling Multiple Intersections—0
Analyzing Learned Convnet Features with Dirichlet Process Gaussian Mixture Models—0
Analyzing the Effect of Multi-task Learning for Biomedical Named Entity Recognition—0
Analyzing the Evaluation of Cross-Lingual Knowledge Transfer in Multilingual Language Models—0
Analyzing the Forgetting Problem in Pretrain-Finetuning of Open-domain Dialogue Response Models—0
Analyzing the Variations in Emergency Department Boarding and Testing the Transferability of Forecasting Models across COVID-19 Pandemic Waves in Hong Kong: Hybrid CNN-LSTM approach to quantifying building-level socioecological risk—0
Analyzing Urdu Social Media for Sentiments using Transfer Learning with Controlled Translations—0
A Named Entity Recognition Shootout for German—0
An analysis of data variation and bias in image-based dermatological datasets for machine learning classification—0
An Analysis of Encoder Representations in Transformer-Based Machine Translation—0
An Analysis of RF Transfer Learning Behavior Using Synthetic Data—0
An analysis of the transfer learning of convolutional neural networks for artistic images—0
An analytic theory of generalization dynamics and transfer learning in deep linear networks—0
Anaphoric Zero Pronoun Identification: A Multilingual Approach—0
An Approach Towards Identifying Bangladeshi Leaf Diseases through Transfer Learning and XAI—0
Anatomical Consistency Distillation and Inconsistency Synthesis for Brain Tumor Segmentation with Missing Modalities—0
An Attention-based Weakly Supervised framework for Spitzoid Melanocytic Lesion Diagnosis in WSI—0
An Audio-Based Fault Diagnosis Method for Quadrotors Using Convolutional Neural Network and Transfer Learning—0
An Audio-Video Deep and Transfer Learning Framework for Multimodal Emotion Recognition in the wild—0
An Automated Deep Learning Approach for Bacterial Image Classification—0
An Automated Knowledge Mining and Document Classification System with Multi-model Transfer Learning—0
An Automatic SOAP Classification System Using Weakly Supervision And Transfer Learning—0
An Automatic System to Monitor the Physical Distance and Face Mask Wearing of Construction Workers in COVID-19 Pandemic—0
Anchor-based Bilingual Word Embeddings for Low-Resource Languages—0
An Effective End-to-End Solution for Multimodal Action Recognition—0
An Effective Scheme for Maize Disease Recognition based on Deep Networks—0
An Efficient Deep Learning-based approach for Recognizing Agricultural Pests in the Wild—0
An Optimized Ensemble Deep Learning Model For Brain Tumor Classification—0
An Efficient Evolutionary Deep Learning Framework Based on Multi-source Transfer Learning to Evolve Deep Convolutional Neural Networks—0
An Efficient Industrial Federated Learning Framework for AIoT: A Face Recognition Application—0
An Efficient Transfer Learning-based Approach for Apple Leaf Disease Classification—0
Transfer Learning Using Classification Layer Features of CNN—0
An Embedding-Dynamic Approach to Self-supervised Learning—0
An embedding for EEG signals learned using a triplet loss—0
An Emotion-Aware Multi-Task Approach to Fake News and Rumour Detection using Transfer Learning—0
An Empirical Analysis on the Vulnerabilities of End-to-End Speech Segregation Models—0
An Empirical Evaluation of Text Representation Schemes on Multilingual Social Web to Filter the Textual Aggression—0
An empirical investigation into audio pipeline approaches for classifying bird species—0
Recent Few-Shot Object Detection Algorithms: A Survey with Performance Comparison—0
An Empirical Study of Language Relatedness for Transfer Learning in Neural Machine Translation—0
An Empirical Study of Scaling Laws for Transfer—0
An Empirical Study on Cross-Lingual and Cross-Domain Transfer for Legal Judgment Prediction—0
An Empirical Study on Measuring the Similarity of Sentential Arguments with Language Model Domain Adaptation—0
Empirical Study on the Software Engineering Practices in Open Source ML Package Repositories—0
An Empirical Study on the Transferability of Transformer Modules in Parameter-Efficient Fine-Tuning—0
An Empirical Study on Transfer Learning for Privilege Review—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