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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1901–1950 of 10307 papers

TitleStatusHype
A Point in the Right Direction: Vector Prediction for Spatially-aware Self-supervised Volumetric Representation Learning—0
CoLI-Machine Learning Approaches for Code-mixed Language Identification at the Word Level in Kannada-English Texts—0
Collaborative Adversarial Learning for RelationalLearning on Multiple Bipartite Graphs—0
Are We Ready for Out-of-Distribution Detection in Digital Pathology?—0
Collaborative Group Learning—0
Collaborative Knowledge Fusion: A Novel Approach for Multi-task Recommender Systems via LLMs—0
Learning with Shared Representations: Statistical Rates and Efficient Algorithms—0
Collaborative Memory: Multi-User Memory Sharing in LLM Agents with Dynamic Access Control—0
Collaborative Pressure Ulcer Prevention: An Automated Skin Damage and Pressure Ulcer Assessment Tool for Nursing Professionals, Patients, Family Members and Carers—0
Collaborative Recommendation with Auxiliary Data: A Transfer Learning View—0
Cross-domain Activity Recognition via Substructural Optimal Transport—0
Collaborative Teacher-Student Learning via Multiple Knowledge Transfer—0
Cross-domain aspect extraction for sentiment analysis: a transductive learning approach—0
CheX-Nomaly: Segmenting Lung Abnormalities from Chest Radiographs using Machine Learning—0
Collective Knowledge Graph Completion with Mutual Knowledge Distillation—0
Collective Wisdom: Improving Low-resource Neural Machine Translation using Adaptive Knowledge Distillation—0
Collusion Detection with Graph Neural Networks—0
Colorectal cancer diagnosis from histology images: A comparative study—0
Adversarial Meta Sampling for Multilingual Low-Resource Speech Recognition—0
A Physics-preserved Transfer Learning Method for Differential Equations—0
Chest Disease Detection In X-Ray Images Using Deep Learning Classification Method—0
Combination of Domain Knowledge and Deep Learning for Sentiment Analysis of Short and Informal Messages on Social Media—0
Combination of multiple neural networks using transfer learning and extensive geometric data augmentation for assessing cellularity scores in histopathology images—0
Transfer-Recursive-Ensemble Learning for Multi-Day COVID-19 Prediction in India using Recurrent Neural Networks—0
A Robust Ensemble Model for Patasitic Egg Detection and Classification—0
A Framework for Hierarchical Multilingual Machine Translation—0
Combined Peak Reduction and Self-Consumption Using Proximal Policy Optimization—0
A Robust Illumination-Invariant Camera System for Agricultural Applications—0
Combined Scaling for Zero-shot Transfer Learning—0
Combinets: Creativity via Recombination of Neural Networks—0
Combining Behaviors with the Successor Features Keyboard—0
Combining Convolution and Recursive Neural Networks for Sentiment Analysis—0
A Framework of Meta Functional Learning for Regularising Knowledge Transfer—0
Combining Deep Transfer Learning with Signal-image Encoding for Multi-Modal Mental Wellbeing Classification—0
Action Recognition using Transfer Learning and Majority Voting for CSGO—0
Combining Federated Learning and Control: A Survey—0
Combining General and Personalized Models for Epilepsy Detection with Hyperdimensional Computing—0
Combining human parsing with analytical feature extraction and ranking schemes for high-generalization person reidentification—0
Cross Dataset Analysis and Network Architecture Repair for Autonomous Car Lane Detection—0
Combining Sequence Distillation and Transfer Learning for Efficient Low-Resource Neural Machine Translation Models—0
Open-Ended Fine-Grained 3D Object Categorization by Combining Shape and Texture Features in Multiple Colorspaces—0
Training Data Independent Image Registration With GANs Using Transfer Learning And Segmentation Information—0
ChemVise: Maximizing Out-of-Distribution Chemical Detection with the Novel Application of Zero-Shot Learning—0
Combining Weakly Supervised ML Techniques for Low-Resource NLU—0
Come hither or go away? Recognising pre-electoral coalition signals in the news—0
Command-line Risk Classification using Transformer-based Neural Architectures—0
Accelerating Dependency Graph Learning from Heterogeneous Categorical Event Streams via Knowledge Transfer—0
Char-RNN for Word Stress Detection in East Slavic Languages—0
A Physics-driven GraphSAGE Method for Physical Process Simulations Described by Partial Differential Equations—0
Cross-database non-frontal facial expression recognition based on transductive deep transfer learning—0
Show:102550
← PrevPage 39 of 207Next →
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