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 9601–9650 of 10307 papers

TitleStatusHype
Cell Selection with Deep Reinforcement Learning in Sparse Mobile Crowdsensing—0
CoNet: Collaborative Cross Networks for Cross-Domain RecommendationCode0
NTUA-SLP at SemEval-2018 Task 1: Predicting Affective Content in Tweets with Deep Attentive RNNs and Transfer LearningCode0
Deep Transfer Network with Joint Distribution Adaptation: A New Intelligent Fault Diagnosis Framework for Industry Application—0
Deep transfer learning in the assessment of the quality of protein modelsCode0
Network Signatures from Image Representation of Adjacency Matrices: Deep/Transfer Learning for Subgraph Classification—0
Not-so-supervised: a survey of semi-supervised, multi-instance, and transfer learning in medical image analysis—0
Training a Binary Weight Object Detector by Knowledge Transfer for Autonomous Driving—0
Approaching Neural Grammatical Error Correction as a Low-Resource Machine Translation TaskCode0
Deep Embedding Kernel—0
RIPEx: Extracting malicious IP addresses from security forums using cross-forum learning—0
A Large-scale Attribute Dataset for Zero-shot LearningCode0
Plaque Classification in Coronary Arteries from IVOCT Images Using Convolutional Neural Networks and Transfer Learning—0
Personalized Dynamics Models for Adaptive Assistive Navigation Systems—0
Universal Successor Representations for Transfer Reinforcement Learning—0
Gotta Learn Fast: A New Benchmark for Generalization in RLCode0
AMNet: Memorability Estimation with AttentionCode0
Markerless tracking of user-defined features with deep learning—0
Assessment of Breast Cancer Histology using Densely Connected Convolutional Networks—0
Towards Deep Cellular Phenotyping in Placental HistologyCode0
Impact of ultrasound image reconstruction method on breast lesion classification with neural transfer learning—0
Bringing Cartoons to Life: Towards Improved Cartoon Face Detection and Recognition SystemsCode0
Boosting Handwriting Text Recognition in Small Databases with Transfer LearningCode0
Event-based Vision meets Deep Learning on Steering Prediction for Self-driving Cars—0
DOCK: Detecting Objects by transferring Common-sense Knowledge—0
StarCraft Micromanagement with Reinforcement Learning and Curriculum Transfer LearningCode0
Multi-lingual neural title generation for e-Commerce browse pages—0
Forecasting Future Humphrey Visual Fields Using Deep LearningCode0
Adversarial Teacher-Student Learning for Unsupervised Domain Adaptation—0
Can Multisensory Cues in VR Help Train Pattern Recognition to Citizen Scientists?—0
HOUDINI: Lifelong Learning as Program SynthesisCode0
Webly Supervised Learning for Skin Lesion Classification—0
Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task LearningCode0
Class Subset Selection for Transfer Learning using Submodularity—0
Reusing Neural Speech Representations for Auditory Emotion Recognition—0
Improve the performance of transfer learning without fine-tuning using dissimilarity-based multi-view learning for breast cancer histology images—0
AI Blue Book: Vehicle Price Prediction using Visual FeaturesCode0
PIMKL: Pathway Induced Multiple Kernel Learning—0
Adversarial Network Compression—0
Deep Learning Object Detection Methods for Ecological Camera Trap Data—0
Learning Deep Representations with Probabilistic Knowledge Transfer—0
Towards Highly Accurate Coral Texture Images Classification Using Deep Convolutional Neural Networks and Data Augmentation—0
Domain transfer convolutional attribute embedding—0
DeepVesselNet: Vessel Segmentation, Centerline Prediction, and Bifurcation Detection in 3-D Angiographic Volumes—0
Importance Weighted Adversarial Nets for Partial Domain Adaptation—0
Feature Transfer Learning for Deep Face Recognition with Under-Represented Data—0
Learning the Localization Function: Machine Learning Approach to Fingerprinting Localization—0
Domain Adaptation with Randomized Expectation MaximizationCode0
Unsupervised Cross-dataset Person Re-identification by Transfer Learning of Spatial-Temporal PatternsCode0
Diagnostic Classification Of Lung Nodules Using 3D Neural NetworksCode0
Show:102550
← PrevPage 193 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