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 1801–1850 of 10307 papers

TitleStatusHype
Beyond Glucose-Only Assessment: Advancing Nocturnal Hypoglycemia Prediction in Children with Type 1 Diabetes—0
Boosting multi-demographic federated learning for chest x-ray analysis using general-purpose self-supervised representations—0
Banana Ripeness Level Classification using a Simple CNN Model Trained with Real and Synthetic Datasets—0
Near-Driven Autonomous Rover Navigation in Complex Environments: Extensions to Urban Search-and-Rescue and Industrial Inspection—0
Conditional Data Synthesis Augmentation—0
Focal Cortical Dysplasia Type II Detection Using Cross Modality Transfer Learning and Grad-CAM in 3D-CNNs for MRI Analysis—0
Benchmarking Image Embeddings for E-Commerce: Evaluating Off-the Shelf Foundation Models, Fine-Tuning Strategies and Practical Trade-offs—0
Deep Reinforcement Learning for Day-to-day Dynamic Tolling in Tradable Credit Schemes—0
TabKAN: Advancing Tabular Data Analysis using Kolmogorov-Arnold Network—0
Teaching pathology foundation models to accurately predict gene expression with parameter efficient knowledge transfer—0
Identifying regions of interest in whole slide images of renal cell carcinoma—0
Learning Optimal Prompt Ensemble for Multi-source Visual Prompt Transfer—0
Data Fusion of Deep Learned Molecular Embeddings for Property Prediction—0
Hyperbolic Category Discovery—0
Sparse Optimization for Transfer Learning: A L0-Regularized Framework for Multi-Source Domain Adaptation—0
Cross-functional transferability in universal machine learning interatomic potentials—0
Bridging Industrial Expertise and XR with LLM-Powered Conversational Agents—0
ADA-Net: Attention-Guided Domain Adaptation Network with Contrastive Learning for Standing Dead Tree Segmentation Using Aerial ImageryCode0
Psychological Health Knowledge-Enhanced LLM-based Social Network Crisis Intervention Text Transfer Recognition Method—0
Early detection of diabetes through transfer learning-based eye (vision) screening and improvement of machine learning model performance and advanced parameter setting algorithms—0
Block Toeplitz Sparse Precision Matrix Estimation for Large-Scale Interval-Valued Time Series Forecasting—0
Optimizing Specific and Shared Parameters for Efficient Parameter Tuning—0
Mitigating the Impact of Electrode Shift on Classification Performance in Electromyography-Based Motion Prediction Using Sliding-Window Normalization—0
Instruction-Guided Autoregressive Neural Network Parameter Generation—0
Think Small, Act Big: Primitive Prompt Learning for Lifelong Robot Manipulation—0
Privacy-Preserving Transfer Learning for Community Detection using Locally Distributed Multiple Networks—0
CopyQNN: Quantum Neural Network Extraction Attack under Varying Quantum Noise—0
Bridge the Gap Between Visual and Linguistic Comprehension for Generalized Zero-shot Semantic Segmentation—0
From Colors to Classes: Emergence of Concepts in Vision TransformersCode0
Detecting Glioma, Meningioma, and Pituitary Tumors, and Normal Brain Tissues based on Yolov11 and Yolov8 Deep Learning Models—0
Crossmodal Knowledge Distillation with WordNet-Relaxed Text Embeddings for Robust Image Classification—0
Advanced Deep Learning and Large Language Models: Comprehensive Insights for Cancer Detection—0
A QUBO Framework for Team Formation—0
Multi-label classification for multi-temporal, multi-spatial coral reef condition monitoring using vision foundation model with adapter learningCode0
On-site estimation of battery electrochemical parameters via transfer learning based physics-informed neural network approach—0
Extremely Simple Out-of-distribution Detection for Audio-visual Generalized Zero-shot Learning—0
Beyond Vanilla Fine-Tuning: Leveraging Multistage, Multilingual, and Domain-Specific Methods for Low-Resource Machine Translation—0
Masked Self-Supervised Pre-Training for Text Recognition Transformers on Large-Scale Datasets—0
Nonhuman Primate Brain Tissue Segmentation Using a Transfer Learning Approach—0
JiraiBench: A Bilingual Benchmark for Evaluating Large Language Models' Detection of Human Self-Destructive Behavior Content in Jirai Community—0
Residual Learning Inspired Crossover Operator and Strategy Enhancements for Evolutionary Multitasking—0
Low-Resource Transliteration for Roman-Urdu and Urdu Using Transformer-Based Models—0
Exploring the flavor structure of leptons via diffusion models—0
A Multi-Modal Knowledge-Enhanced Framework for Vessel Trajectory Prediction—0
AugWard: Augmentation-Aware Representation Learning for Accurate Graph ClassificationCode0
A Theoretical Analysis of Analogy-Based Evolutionary Transfer Optimization—0
Low-resource Information Extraction with the European Clinical Case Corpus—0
Small Object Detection: A Comprehensive Survey on Challenges, Techniques and Real-World Applications—0
World Model Agents with Change-Based Intrinsic MotivationCode0
Multi-dataset and Transfer Learning Using Gene Expression Knowledge GraphsCode0
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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