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 3651–3700 of 10307 papers

TitleStatusHype
Teamwork Dimensions Classification Using BERT—0
PGDS: Pose-Guidance Deep Supervision for Mitigating Clothes-Changing in Person Re-IdentificationCode0
Data Scarcity in Recommendation Systems: A Survey—0
TLCE: Transfer-Learning Based Classifier Ensembles for Few-Shot Class-Incremental Learning—0
Enhancing Polynomial Chaos Expansion Based Surrogate Modeling using a Novel Probabilistic Transfer Learning Strategy—0
Small Area Estimation of Case Growths for Timely COVID-19 Outbreak DetectionCode0
GYM at Qur’an QA 2023 Shared Task: Multi-Task Transfer Learning for Quranic Passage Retrieval and Question Answering with Large Language ModelsCode0
Optimizing Two-Pass Cross-Lingual Transfer Learning: Phoneme Recognition and Phoneme to Grapheme Translation—0
Decoding Working-Memory Load During n-Back Task Performance from High Channel NIRS Data—0
Customizable Combination of Parameter-Efficient Modules for Multi-Task Learning—0
Enhanced Breast Cancer Tumor Classification using MobileNetV2: A Detailed Exploration on Image Intensity, Error Mitigation, and Streamlit-driven Real-time Deployment—0
Similarity-based Knowledge Transfer for Cross-Domain Reinforcement Learning—0
Hot PATE: Private Aggregation of Distributions for Diverse Task—0
Facial Emotion Recognition Under Mask Coverage Using a Data Augmentation TechniqueCode0
Robust Computer Vision in an Ever-Changing World: A Survey of Techniques for Tackling Distribution Shifts—0
Code-Mixed Text to Speech Synthesis under Low-Resource Constraints—0
Rapid Speaker Adaptation in Low Resource Text to Speech Systems using Synthetic Data and Transfer learning—0
Efficient Expansion and Gradient Based Task Inference for Replay Free Incremental Learning—0
SASSL: Enhancing Self-Supervised Learning via Neural Style Transfer—0
Acoustic Signal Analysis with Deep Neural Network for Detecting Fault Diagnosis in Industrial Machines—0
Disentangling the Effects of Data Augmentation and Format Transform in Self-Supervised Learning of Image Representations—0
A Comparative Analysis Towards Melanoma Classification Using Transfer Learning by Analyzing Dermoscopic Images—0
A Survey on Stability of Learning with Limited Labelled Data and its Sensitivity to the Effects of Randomness—0
Student Activity Recognition in Classroom Environments using Transfer Learning—0
Transfer learning for predicting source terms of principal component transport in chemically reactive flow—0
Explainable AI in Diagnosing and Anticipating Leukemia Using Transfer Learning Method—0
Pathway to a fully data-driven geotechnics: lessons from materials informatics—0
Simple Transferability Estimation for Regression TasksCode0
Stochastic Vision Transformers with Wasserstein Distance-Aware Attention—0
Enhancing Cross-domain Click-Through Rate Prediction via Explicit Feature Augmentation—0
Transfer Learning across Different Chemical Domains: Virtual Screening of Organic Materials with Deep Learning Models Pretrained on Small Molecule and Chemical Reaction Data—0
Learning Robust Precipitation Forecaster by Temporal Frame InterpolationCode0
Clinical Risk Prediction Using Language Models: Benefits And Considerations—0
Hyperpolyglot LLMs: Cross-Lingual Interpretability in Token EmbeddingsCode0
Transfer Learning in Robotics: An Upcoming Breakthrough? A Review of Promises and Challenges—0
Latent Alignment with Deep Set EEG Decoders—0
Skilful Precipitation Nowcasting Using NowcastNet—0
Precipitation Nowcasting With Spatial And Temporal Transfer Learning Using Swin-UNETR—0
Grounding Foundation Models through Federated Transfer Learning: A General Framework—0
Self-training solutions for the ICCV 2023 GeoNet ChallengeCode0
Natural Language Processing Through Transfer Learning: A Case Study on Sentiment Analysis—0
Empowering COVID-19 Detection: Optimizing Performance Through Fine-Tuned EfficientNet Deep Learning Architecture—0
Exo2EgoDVC: Dense Video Captioning of Egocentric Procedural Activities Using Web Instructional Videos—0
FedAL: Black-Box Federated Knowledge Distillation Enabled by Adversarial Learning—0
MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training—0
Temporal Transfer Learning for Traffic Optimization with Coarse-grained Advisory Autonomy—0
Towards Difficulty-Agnostic Efficient Transfer Learning for Vision-Language ModelsCode0
Transformer-QEC: Quantum Error Correction Code Decoding with Transferable Transformers—0
Adinkra Symbol Recognition using Classical Machine Learning and Deep Learning—0
Machine Learning-Based Jamun Leaf Disease Detection: A Comprehensive 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