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 7201–7250 of 10307 papers

TitleStatusHype
Universal Adaptive Control of Nonlinear Systems—0
Towards Zero-Shot Knowledge Distillation for Natural Language Processing—0
Advances in deep learning methods for pavement surface crack detection and identification with visible light visual imagesCode0
Screening COVID-19 Based on CT/CXR Images & Building a Publicly Available CT-scan Dataset of COVID-19—0
Comparison of different CNNs for breast tumor classification from ultrasound images—0
PaXNet: Dental Caries Detection in Panoramic X-ray using Ensemble Transfer Learning and Capsule Classifier—0
Ranking and Rejecting of Pre-Trained Deep Neural Networks in Transfer Learning based on Separation Index—0
Towards a Universal Continuous Knowledge Base—0
Evolutionary Gait Transfer of Multi-Legged Robots in Complex Terrains—0
Cross-lingual Universal Dependency Parsing Only from One Monolingual Treebank—0
Seed Phenotyping on Neural Networks using Domain Randomization and Transfer Learning—0
Decentralized Federated Learning via Mutual Knowledge Transfer—0
Diabetic Retinopathy Grading System Based on Transfer Learning—0
A Review of Artificial Intelligence Technologies for Early Prediction of Alzheimer's Disease—0
Objective Evaluation of Deep Uncertainty Predictions for COVID-19 Detection—0
Adversarial Meta Sampling for Multilingual Low-Resource Speech Recognition—0
MailLeak: Obfuscation-Robust Character Extraction Using Transfer Learning—0
Flexible deep transfer learning by separate feature embeddings and manifold alignment—0
Unboxing Engagement in YouTube Influencer Videos: An Attention-Based Approach—0
Cross-Domain Latent Modulation for Variational Transfer Learning—0
Knowledge Transfer Based Fine-grained Visual ClassificationCode0
Domain-adaptive Fall Detection Using Deep Adversarial Training—0
Breaking Writer's Block: Low-cost Fine-tuning of Natural Language Generation Models—0
Multimodal Transfer Learning-based Approaches for Retinal Vascular Segmentation—0
Deep learning and high harmonic generation—0
Exploring Fluent Query Reformulations with Text-to-Text Transformers and Reinforcement Learning—0
Transfer Learning Based Automatic Model Creation Tool For Resource Constraint Devices—0
Multi-Modal Depth Estimation Using Convolutional Neural Networks—0
The effectiveness of unsupervised subword modeling with autoregressive and cross-lingual phone-aware networks—0
SRoll3: A neural network approach to reduce large-scale systematic effects in the Planck High Frequency Instrument maps—0
Multilingual Evidence Retrieval and Fact Verification to Combat Global Disinformation: The Power of PolyglotismCode0
Inexact-ADMM Based Federated Meta-Learning for Fast and Continual Edge Learning—0
Transfer Learning Through Weighted Loss Function and Group Normalization for Vessel Segmentation from Retinal Images—0
Wasserstein Contrastive Representation Distillation—0
Learning Prediction Intervals for Model Performance—0
Exploring Transfer Learning For End-to-End Spoken Language Understanding—0
Deep Learning Based Classification of Unsegmented Phonocardiogram Spectrograms Leveraging Transfer Learning—0
Cluster, Split, Fuse, and Update: Meta-Learning for Open Compound Domain Adaptive Semantic Segmentation—0
Hypothesis Disparity Regularized Mutual Information Maximization—0
Bayesian neural network with pretrained protein embedding enhances prediction accuracy of drug-protein interactionCode0
Decoupled Self Attention for Accurate One Stage Object DetectionCode0
DeepGamble: Towards unlocking real-time player intelligence using multi-layer instance segmentation and attribute detection—0
InferCode: Self-Supervised Learning of Code Representations by Predicting Subtrees—0
Warm Starting CMA-ES for Hyperparameter OptimizationCode0
Filtering DDoS Attacks from Unlabeled Network Traffic Data Using Online Deep Learning—0
COVID-MTL: Multitask Learning with Shift3D and Random-weighted Loss for Automated Diagnosis and Severity Assessment of COVID-19—0
A Practical Approach towards Causality Mining in Clinical Text using Active Transfer Learning—0
GDA-HIN: A Generalized Domain Adaptive Model across Heterogeneous Information Networks—0
Large-Scale Generative Data-Free Distillation—0
Distant Domain Transfer Learning for Medical Imaging—0
Show:102550
← PrevPage 145 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