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 8451–8500 of 10307 papers

TitleStatusHype
On Generalizing Detection Models for Unconstrained EnvironmentsCode0
Learning Robust Data Representation: A Knowledge Flow Perspective—0
Multi-modal Page Stream Segmentation with Convolutional Neural NetworksCode0
Reweighted Proximal Pruning for Large-Scale Language Representation—0
Learning search spaces for Bayesian optimization: Another view of hyperparameter transfer learning—0
MutualNet: Adaptive ConvNet via Mutual Learning from Network Width and ResolutionCode1
Deep Model Transferability from Attribution MapsCode0
DARTS: Dialectal Arabic Transcription System—0
Breast Cancer Diagnosis with Transfer Learning and Global Pooling—0
MERL: Multi-Head Reinforcement Learning—0
Aspect and Opinion Term Extraction for Hotel Reviews using Transfer Learning and Auxiliary Labels—0
A Base Model Selection Methodology for Efficient Fine-Tuning—0
Multi-source Multi-view Transfer Learning in Neural Topic Modeling with Pretrained Topic and Word Embeddings—0
Language-independent Cross-lingual Contextual Representations—0
DASGrad: Double Adaptive Stochastic Gradient—0
Robust Instruction-Following in a Situated Agent via Transfer-Learning from Text—0
Knowledge Transfer via Student-Teacher Collaboration—0
Generalized Domain Adaptation with Covariate and Label Shift CO-ALignment—0
Revisiting Gradient Episodic Memory for Continual Learning—0
Temporal Probabilistic Asymmetric Multi-task Learning—0
Transfer Alignment Network for Double Blind Unsupervised Domain Adaptation—0
Transfer Active Learning For Graph Neural Networks—0
Weighted Empirical Risk Minimization: Transfer Learning based on Importance Sampling—0
Towards Scalable Imitation Learning for Multi-Agent Systems with Graph Neural Networks—0
The Frechet Distance of training and test distribution predicts the generalization gap—0
A Copula approach for hyperparameter transfer learning—0
A closer look at network resolution for efficient network design—0
Adversarial Inductive Transfer Learning with input and output space adaptation—0
Automated identification of neural cells in the multi-photon images using deep-neural networks—0
Pretraining boosts out-of-domain robustness for pose estimation—0
Efficiently Reusing Old Models Across Languages via Transfer Learning—0
Hydrocephalus verification on brain magnetic resonance images with deep convolutional neural networks and "transfer learning" technique—0
Model-Based and Data-Driven Strategies in Medical Image Computing—0
How to improve CNN-based 6-DoF camera pose estimation—0
Learning Universal Graph Neural Network Embeddings With Aid Of Transfer LearningCode0
MaLTESE: Large-Scale Simulation-Driven Machine Learning for Transient Driving Cycles—0
Cross-lingual Dependency Parsing with Unlabeled Auxiliary LanguagesCode0
Pivot-based Transfer Learning for Neural Machine Translation between Non-English Languages—0
Deep 3D-Zoom Net: Unsupervised Learning of Photo-Realistic 3D-Zoom—0
A Transfer Learning Approach for Automated Segmentation of Prostate Whole Gland and Transition Zone in Diffusion Weighted MRI—0
Transfer Learning using CNN for Handwritten Devanagari Character Recognition—0
Timage -- A Robust Time Series Classification PipelineCode0
Transferable Feature Representation for Visible-to-Infrared Cross-Dataset Human Action Recognition—0
Text Length Adaptation in Sentiment ClassificationCode0
Automated detection of oral pre-cancerous tongue lesions using deep learning for early diagnosis of oral cavity cancer—0
Transfer Learning with Dynamic Adversarial Adaptation Network—0
Transfer Learning with Dynamic Distribution Adaptation—0
Data-Efficient Classification of Birdcall Through Convolutional Neural Networks Transfer LearningCode0
Cycle-consistent Conditional Adversarial Transfer NetworksCode0
Adversarial Feature Training for Generalizable Robotic Visuomotor Control—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