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 7351–7400 of 10307 papers

TitleStatusHype
MRIo3DS-Net: A Mutually Reinforcing Images to 3D Surface RNN-like framework for model-adaptation indoor 3D reconstruction—0
Intelligent Condition Based Monitoring Techniques for Bearing Fault Diagnosis—0
MSdocTr-Lite: A Lite Transformer for Full Page Multi-script Handwriting Recognition—0
MSIT\_SRIB at MEDIQA 2019: Knowledge Directed Multi-task Framework for Natural Language Inference in Clinical Domain.—0
Transferability Metrics for Selecting Source Model Ensembles—0
Transferability of Deep Learning Algorithms for Malignancy Detection in Confocal Laser Endomicroscopy Images from Different Anatomical Locations of the Upper Gastrointestinal Tract—0
Transferable Contrastive Network for Generalized Zero-Shot Learning—0
Transferable Cross-Tokamak Disruption Prediction with Deep Hybrid Neural Network Feature Extractor—0
Transferable Curricula through Difficulty Conditioned Generators—0
Transferable Deep Clustering Model—0
Transferable Deep Learning Power System Short-Term Voltage Stability Assessment with Physics-Informed Topological Feature Engineering—0
Transferable Deep Reinforcement Learning Framework for Autonomous Vehicles with Joint Radar-Data Communications—0
Transferable Energy Storage Bidder—0
Transferable Feature Representation for Visible-to-Infrared Cross-Dataset Human Action Recognition—0
Transferable Knowledge-Based Multi-Granularity Aggregation Network for Temporal Action Localization: Submission to ActivityNet Challenge 2021—0
Transferable Knowledge for Low-cost Decision Making in Cloud Environments—0
Transferable Neural Processes for Hyperparameter Optimization—0
Transferable Pedestrian Motion Prediction Models at Intersections—0
Transferable Student Performance Modeling for Intelligent Tutoring Systems—0
Transferable Unsupervised Robust Representation Learning—0
Transfer Active Learning For Graph Neural Networks—0
Transfer Alignment Network for Double Blind Unsupervised Domain Adaptation—0
Transfer among Agents: An Efficient Multiagent Transfer Learning Framework—0
Transfer and Multi-Task Learning for Noun--Noun Compound Interpretation—0
Brain MRI Tumor Segmentation with Adversarial Networks—0
Transfer Learning for Causal Effect Estimation—0
Transfer: Cross Modality Knowledge Transfer using Adversarial Networks -- A Study on Gesture Recognition—0
TransferD2: Automated Defect Detection Approach in Smart Manufacturing using Transfer Learning Techniques—0
Transfer Deep Learning for Low-Resource Chinese Word Segmentation with a Novel Neural Network—0
Transfer Deep Reinforcement Learning-based Large-scale V2G Continuous Charging Coordination with Renewable Energy Sources—0
Transfer Deep Reinforcement Learning-enabled Energy Management Strategy for Hybrid Tracked Vehicle—0
Transfer Faster, Price Smarter: Minimax Dynamic Pricing under Cross-Market Preference Shift—0
Transfer from Multiple Linear Predictive State Representations (PSR)—0
Transfer Generative Adversarial Networks (T-GAN)-based Terahertz Channel Modeling—0
Transfer Hashing with Privileged Information—0
Transfer Heterogeneous Knowledge Among Peer-to-Peer Teammates: A Model Distillation Approach—0
TransferI2I: Transfer Learning for Image-to-Image Translation from Small Datasets—0
Transfer in Deep Reinforcement Learning using Knowledge Graphs—0
Transfer in Reinforcement Learning via Regret Bounds for Learning Agents—0
Transfer Language Selection for Zero-Shot Cross-Lingual Abusive Language Detection—0
Transfer Learning across Different Chemical Domains: Virtual Screening of Organic Materials with Deep Learning Models Pretrained on Small Molecule and Chemical Reaction Data—0
Transfer Learning Across Fixed-Income Product Classes—0
Efficiently Reusing Old Models Across Languages via Transfer Learning—0
Transfer Learning across Low-Resource, Related Languages for Neural Machine Translation—0
Transfer Learning across Networks for Collective Classification—0
Transfer Learning Across Patient Variations with Hidden Parameter Markov Decision Processes—0
Transfer Learning across Several Centuries: Machine and Historian Integrated Method to Decipher Royal Secretary's Diary—0
Transfer Learning Across Simulated Robots With Different Sensors—0
Transfer Learning Adapts to Changing PSD in Gravitational Wave Data—0
Transfer Learning Analysis of Variational Quantum Circuits—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