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 7901–7950 of 10307 papers

TitleStatusHype
Neuropsychiatric Disease Classification Using Functional Connectomics -- Results of the Connectomics in NeuroImaging Transfer Learning Challenge—0
Filtered Inner Product Projection for Crosslingual Embedding Alignment—0
Cross-lingual Transfer Learning for COVID-19 Outbreak Alignment—0
Continuous Transfer Learning with Label-informed Distribution Alignment—0
Knowledge transfer between bridges for drive-by monitoring using adversarial and multi-task learning—0
Acoustic Anomaly Detection for Machine Sounds based on Image Transfer Learning—0
A Siamese Neural Network with Modified Distance Loss For Transfer Learning in Speech Emotion Recognition—0
Fast CRDNN: Towards on Site Training of Mobile Construction Machines—0
End-to-End Speech-Translation with Knowledge Distillation: FBK@IWSLT2020—0
Info3D: Representation Learning on 3D Objects using Mutual Information Maximization and Contrastive Learning—0
Neuroevolutionary Transfer Learning of Deep Recurrent Neural Networks through Network-Aware Adaptation—0
Refined Continuous Control of DDPG Actors via Parametrised Activation—0
Meta Dialogue Policy Learning—0
Learning across label confidence distributions using Filtered Transfer Learning—0
Transfer Learning for British Sign Language Modelling—0
WikiBERT models: deep transfer learning for many languagesCode0
Learning to Branch for Multi-Task Learning—0
Deep Learning of Dynamic Subsurface Flow via Theory-guided Generative Adversarial Network—0
A Layered Learning Approach to Scaling in Learning Classifier Systems for Boolean Problems—0
Similarit\'e s\'emantique entre phrases : apprentissage par transfert interlingue (Semantic Sentence Similarity : Multilingual Transfer Learning)—0
Exploring Thermal Images for Object Detection in Underexposure Regions for Autonomous Driving—0
Syn2Real Transfer Learning for Image Deraining Using Gaussian Processes—0
A Systematic Study of Inner-Attention-Based Sentence Representations in Multilingual Neural Machine Translation—0
Reconnaissance de phones fond\'ee sur du Transfer Learning pour des enfants apprenants lecteurs en environnement de classe (Transfer Learning based phone recognition on children learning to read, with speech recorded in a classroom environment)—0
Fast visual grounding in interaction: bringing few-shot learning with neural networks to an interactive robot—0
Automatic classification between COVID-19 pneumonia, non-COVID-19 pneumonia, and the healthy on chest X-ray image: combination of data augmentation methodsCode0
Multi-Stage Transfer Learning with an Application to Selection Process—0
Distilling Image Dehazing With Heterogeneous Task ImitationCode0
Smoothing Adversarial Domain Attack and P-Memory Reconsolidation for Cross-Domain Person Re-Identification—0
Enhanced Transport Distance for Unsupervised Domain Adaptation—0
Unsupervised Word Translation with Adversarial Autoencoder—0
Attribute-Induced Bias Eliminating for Transductive Zero-Shot Learning—0
A Survey on Transfer Learning in Natural Language Processing—0
Critical Assessment of Transfer Learning for Medical Image Segmentation with Fully Convolutional Neural Networks—0
Weight Squeezing: Reparameterization for Compression and Fast Inference—0
Deep Job Understanding at LinkedIn—0
Improving Mammography Malignancy Segmentation by Designing the Training Process—0
Multimodal Feature Fusion and Knowledge-Driven Learning via Experts Consult for Thyroid Nodule Classification—0
CNN-based Approach for Cervical Cancer Classification in Whole-Slide Histopathology ImagesCode0
Contextual Dialogue Act Classification for Open-Domain Conversational AgentsCode0
Human Recognition Using Face in Computed Tomography—0
Universal Lesion Detection by Learning from Multiple Heterogeneously Labeled Datasets—0
Counterfactual Detection meets Transfer LearningCode0
SSM-Net for Plants Disease Identification in Low Data RegimeCode0
Balanced joint maximum mean discrepancy for deep transfer learningCode0
Bayesian Generative Models for Knowledge Transfer in MRI Semantic Segmentation ProblemsCode0
Local Motion Planner for Autonomous Navigation in Vineyards with a RGB-D Camera-Based Algorithm and Deep Learning Synergy—0
Time-Variant Variational Transfer for Value Functions—0
Visual Interest Prediction with Attentive Multi-Task Transfer Learning—0
An End-to-End Mispronunciation Detection System for L2 English Speech Leveraging Novel Anti-Phone Modeling—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