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 20512100 of 10307 papers

TitleStatusHype
Multi-Domain Graph Foundation Models: Robust Knowledge Transfer via Topology Alignment0
Transfer Risk Map: Mitigating Pixel-level Negative Transfer in Medical Segmentation0
Beyond English: Evaluating Automated Measurement of Moral Foundations in Non-English Discourse with a Chinese Case StudyCode0
LLM-USO: Large Language Model-based Universal Sizing Optimizer0
Self-Supervised Convolutional Audio Models are Flexible Acoustic Feature Learners: A Domain Specificity and Transfer-Learning StudyCode0
A Privacy-Preserving Domain Adversarial Federated learning for multi-site brain functional connectivity analysis0
Geometric Framework for Cell Oversegmentation0
Learning to Learn Weight Generation via Local Consistency Diffusion0
Learning Hyperparameters via a Data-Emphasized Variational ObjectiveCode0
Preference VLM: Leveraging VLMs for Scalable Preference-Based Reinforcement Learning0
Role of Mixup in Topological Persistence Based Knowledge Distillation for Wearable Sensor Data0
SSRepL-ADHD: Adaptive Complex Representation Learning Framework for ADHD Detection from Visual Attention Tasks0
Machine Learning Models for Reinforced Concrete Pipes Condition Prediction: The State-of-the-Art Using Artificial Neural Networks and Multiple Linear Regression in a Wisconsin Case Study0
Early Diagnosis and Severity Assessment of Weligama Coconut Leaf Wilt Disease and Coconut Caterpillar Infestation using Deep Learning-based Image Processing Techniques0
Lightspeed Geometric Dataset Distance via Sliced Optimal TransportCode0
Transfer Learning for Nonparametric Contextual Dynamic PricingCode0
SynthmanticLiDAR: A Synthetic Dataset for Semantic Segmentation on LiDAR ImagingCode0
Improving Quality Control Of MRI Images Using Synthetic Motion Data0
Imagine with the Teacher: Complete Shape in a Multi-View Distillation Way0
A Zero-Shot Generalization Framework for LLM-Driven Cross-Domain Sequential Recommendation0
Reverse Probing: Evaluating Knowledge Transfer via Finetuned Task Embeddings for Coreference Resolution0
Transfer Learning of Surrogate Models: Integrating Domain Warping and Affine Transformations0
Transfer Learning for Keypoint Detection in Low-Resolution Thermal TUG Test Images0
General Embedding vs. Task-Specific Embedding: A Comparative Approach to Enhancing NLP Performance0
Advancing Personalized Federated Learning: Integrative Approaches with AI for Enhanced Privacy and Customization0
Function Encoders: A Principled Approach to Transfer Learning in Hilbert Spaces0
Predicting concentration levels of air pollutants by transfer learning and recurrent neural network0
Revisiting Projection-based Data Transfer for Cross-Lingual Named Entity Recognition in Low-Resource LanguagesCode0
Distilling Knowledge for Designing Computational Imaging SystemsCode0
Action Recognition Using Temporal Shift Module and Ensemble LearningCode0
Digital Twin Synchronization: Bridging the Sim-RL Agent to a Real-Time Robotic Additive Manufacturing Control0
LEKA:LLM-Enhanced Knowledge Augmentation0
Fundamental Computational Limits in Pursuing Invariant Causal Prediction and Invariance-Guided Regularization0
Multimodal Magic Elevating Depression Detection with a Fusion of Text and Audio Intelligence0
Stiff Transfer Learning for Physics-Informed Neural Networks0
CoRe-Net: Co-Operational Regressor Network with Progressive Transfer Learning for Blind Radar Signal RestorationCode0
TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models0
Transfer of Knowledge through Reverse Annealing: A Preliminary Analysis of the Benefits and What to Share0
Automatic Machine Learning Framework to Study Morphological Parameters of AGN Host Galaxies within z < 1.4 in the Hyper Supreme-Cam Wide SurveyCode0
Cross-Modal Transfer from Memes to Videos: Addressing Data Scarcity in Hateful Video DetectionCode0
Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer0
Building Efficient Lightweight CNN Models0
Expert-Free Online Transfer Learning in Multi-Agent Reinforcement LearningCode0
A Transfer Learning Framework for Anomaly Detection in Multivariate IoT Traffic Data0
Explainable YOLO-Based Dyslexia Detection in Synthetic Handwriting Data0
In-Context Operator Learning for Linear Propagator Models0
Detection and Classification of Acute Lymphoblastic Leukemia Utilizing Deep Transfer Learning0
Neuronal and structural differentiation in the emergence of abstract rules in hierarchically modulated spiking neural networks0
Deep Learning-Powered Classification of Thoracic Diseases in Chest X-Rays0
Transfer Learning of Surrogate Models via Domain Affine Transformation Across Synthetic and Real-World Benchmarks0
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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