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 551–600 of 10307 papers

TitleStatusHype
SMRS: advocating a unified reporting standard for surrogate models in the artificial intelligence era—0
Contrastive Representation Distillation via Multi-Scale Feature Decoupling—0
Target Speaker Lipreading by Audio-Visual Self-Distillation Pretraining and Speaker Adaptation—0
Protecting Intellectual Property of EEG-based Neural Networks with WatermarkingCode0
Topological derivative approach for deep neural network architecture adaptation—0
Transfer learning in Scalable Graph Neural Network for Improved Physical Simulation—0
Performance Evaluation of Image Enhancement Techniques on Transfer Learning for Touchless Fingerprint Recognition—0
SelaFD:Seamless Adaptation of Vision Transformer Fine-tuning for Radar-based Human ActivityCode0
Self-Supervised Learning for Pre-training Capsule Networks: Overcoming Medical Imaging Dataset Challenges—0
Evaluating Standard and Dialectal Frisian ASR: Multilingual Fine-tuning and Language Identification for Improved Low-resource Performance—0
How does a Multilingual LM Handle Multiple Languages?—0
A Theoretical Framework for Data Efficient Multi-Source Transfer Learning Based on Cramér-Rao Bound—0
Transfer Learning for Covert Speech Classification Using EEG Hilbert Envelope and Temporal Fine Structure—0
ICGNN: Graph Neural Network Enabled Scalable Beamforming for MISO Interference Channels—0
Provable Sample-Efficient Transfer Learning Conditional Diffusion Models via Representation Learning—0
SWIPTNet: A Unified Deep Learning Framework for SWIPT based on GNN and Transfer Learning—0
Adaptive Prototype Knowledge Transfer for Federated Learning with Mixed Modalities and Heterogeneous Tasks—0
Prediction of the Most Fire-Sensitive Point in Building Structures with Differentiable Agents for Thermal Simulators—0
Transferring Graph Neural Networks for Soft Sensor Modeling using Process Topologies—0
TopoCL: Topological Contrastive Learning for Time Series—0
Complying with the EU AI Act: Innovations in Explainable and User-Centric Hand Gesture Recognition—0
LLM-USO: Large Language Model-based Universal Sizing Optimizer—0
Transfer Risk Map: Mitigating Pixel-level Negative Transfer in Medical Segmentation—0
Beyond English: Evaluating Automated Measurement of Moral Foundations in Non-English Discourse with a Chinese Case StudyCode0
Multi-Domain Graph Foundation Models: Robust Knowledge Transfer via Topology Alignment—0
Self-Supervised Convolutional Audio Models are Flexible Acoustic Feature Learners: A Domain Specificity and Transfer-Learning StudyCode0
Learning to Learn Weight Generation via Local Consistency Diffusion—0
Preference VLM: Leveraging VLMs for Scalable Preference-Based Reinforcement Learning—0
Geometric Framework for Cell Oversegmentation—0
Learning Hyperparameters via a Data-Emphasized Variational ObjectiveCode0
Towards Robust and Generalizable Lensless Imaging with Modular Learned ReconstructionCode2
A Privacy-Preserving Domain Adversarial Federated learning for multi-site brain functional connectivity analysis—0
UniGraph2: Learning a Unified Embedding Space to Bind Multimodal GraphsCode1
Role of Mixup in Topological Persistence Based Knowledge Distillation for Wearable Sensor Data—0
SSRepL-ADHD: Adaptive Complex Representation Learning Framework for ADHD Detection from Visual Attention Tasks—0
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 Study—0
Improving Quality Control Of MRI Images Using Synthetic Motion Data—0
A Zero-Shot Generalization Framework for LLM-Driven Cross-Domain Sequential Recommendation—0
Reverse Probing: Evaluating Knowledge Transfer via Finetuned Task Embeddings for Coreference Resolution—0
Early Diagnosis and Severity Assessment of Weligama Coconut Leaf Wilt Disease and Coconut Caterpillar Infestation using Deep Learning-based Image Processing Techniques—0
Imagine with the Teacher: Complete Shape in a Multi-View Distillation Way—0
Lightspeed Geometric Dataset Distance via Sliced Optimal TransportCode0
SynthmanticLiDAR: A Synthetic Dataset for Semantic Segmentation on LiDAR ImagingCode0
Transfer Learning for Nonparametric Contextual Dynamic PricingCode0
Predicting concentration levels of air pollutants by transfer learning and recurrent neural network—0
Revisiting Projection-based Data Transfer for Cross-Lingual Named Entity Recognition in Low-Resource LanguagesCode0
Transfer Learning of Surrogate Models: Integrating Domain Warping and Affine Transformations—0
General Embedding vs. Task-Specific Embedding: A Comparative Approach to Enhancing NLP Performance—0
Advancing Personalized Federated Learning: Integrative Approaches with AI for Enhanced Privacy and Customization—0
Function Encoders: A Principled Approach to Transfer Learning in Hilbert Spaces—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