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 3601–3650 of 10307 papers

TitleStatusHype
Open-Ended Fine-Grained 3D Object Categorization by Combining Shape and Texture Features in Multiple Colorspaces—0
Combining Sequence Distillation and Transfer Learning for Efficient Low-Resource Neural Machine Translation Models—0
Combining Image Features and Patient Metadata to Enhance Transfer Learning—0
Artificial Intelligence for Dementia Research Methods Optimization—0
Combining human parsing with analytical feature extraction and ranking schemes for high-generalization person reidentification—0
Combining General and Personalized Models for Epilepsy Detection with Hyperdimensional Computing—0
Combining Federated Learning and Control: A Survey—0
Artificial Intelligence for COVID-19 Detection -- A state-of-the-art review—0
A Free-Energy Principle for Representation Learning—0
Combining Deep Transfer Learning with Signal-image Encoding for Multi-Modal Mental Wellbeing Classification—0
Combining Convolution and Recursive Neural Networks for Sentiment Analysis—0
Combining Behaviors with the Successor Features Keyboard—0
Artificial Bee Colony optimization of Deep Convolutional Neural Networks in the context of Biomedical Imaging—0
A Framework of Meta Functional Learning for Regularising Knowledge Transfer—0
Combinets: Creativity via Recombination of Neural Networks—0
Combined Scaling for Zero-shot Transfer Learning—0
A Robust Transferable Deep Learning Framework for Cross-sectional Investment Strategy—0
Combined Peak Reduction and Self-Consumption Using Proximal Policy Optimization—0
A Robust Illumination-Invariant Camera System for Agricultural Applications—0
A Framework of Customer Review Analysis Using the Aspect-Based Opinion Mining Approach—0
Transfer-Recursive-Ensemble Learning for Multi-Day COVID-19 Prediction in India using Recurrent Neural Networks—0
Combination of multiple neural networks using transfer learning and extensive geometric data augmentation for assessing cellularity scores in histopathology images—0
A Robust Ensemble Model for Patasitic Egg Detection and Classification—0
Combination of Domain Knowledge and Deep Learning for Sentiment Analysis of Short and Informal Messages on Social Media—0
Combating Uncertainty with Novel Losses for Automatic Left Atrium Segmentation—0
Color Enhancement for V-PCC Compressed Point Cloud via 2D Attribute Map Optimization—0
A Robust Deep Networks based Multi-Object MultiCamera Tracking System for City Scale Traffic—0
A Framework for Hierarchical Multilingual Machine Translation—0
Actor Critic with Differentially Private Critic—0
Attention on flow control: transformer-based reinforcement learning for lift regulation in highly disturbed flows—0
Domain Shift Analysis in Chest Radiographs Classification in a Veterans Healthcare Administration Population—0
Colorectal cancer diagnosis from histology images: A comparative study—0
Collusion Detection with Graph Neural Networks—0
Collective Wisdom: Improving Low-resource Neural Machine Translation using Adaptive Knowledge Distillation—0
Collective Knowledge Graph Completion with Mutual Knowledge Distillation—0
Argument Novelty and Validity Assessment via Multitask and Transfer Learning—0
Collaborative Teacher-Student Learning via Multiple Knowledge Transfer—0
A Framework for Fast Scalable BNN Inference using Googlenet and Transfer Learning—0
Activity Recognition and Prediction in Real Homes—0
Collaborative Recommendation with Auxiliary Data: A Transfer Learning View—0
Collaborative Pressure Ulcer Prevention: An Automated Skin Damage and Pressure Ulcer Assessment Tool for Nursing Professionals, Patients, Family Members and Carers—0
Are You Really Okay? A Transfer Learning-based Approach for Identification of Underlying Mental Illnesses—0
Collaborative Memory: Multi-User Memory Sharing in LLM Agents with Dynamic Access Control—0
Learning with Shared Representations: Statistical Rates and Efficient Algorithms—0
Are You Really Okay? A Transfer Learning-based Approach for Identification of Underlying Mental Illnesses—0
A foundational neural operator that continuously learns without forgetting—0
Collaborative Knowledge Fusion: A Novel Approach for Multi-task Recommender Systems via LLMs—0
Collaborative Group Learning—0
Are We Truly Forgetting? A Critical Re-examination of Machine Unlearning Evaluation Protocols—0
Collaborative Adversarial Learning for RelationalLearning on Multiple Bipartite Graphs—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