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 7651–7700 of 10307 papers

TitleStatusHype
Double Double Descent: On Generalization Errors in Transfer Learning between Linear Regression Tasks—0
Improving performance of CNN to predict likelihood of COVID-19 using chest X-ray images with preprocessing algorithms—0
Deep Transfer Learning with Ridge Regression—0
Few-shot Neural Architecture SearchCode1
Anti-Transfer Learning for Task Invariance in Convolutional Neural Networks for Speech ProcessingCode0
What makes instance discrimination good for transfer learning?—0
Deep reinforcement learning for optical systems: A case study of mode-locked lasers—0
Bayesian Experience Reuse for Learning from Multiple Demonstrators—0
Deep Learning for Change Detection in Remote Sensing Images: Comprehensive Review and Meta-AnalysisCode1
Cross-Sensor Adversarial Domain Adaptation of Landsat-8 and Proba-V images for Cloud DetectionCode1
Adversarial Training Based Multi-Source Unsupervised Domain Adaptation for Sentiment Analysis—0
Syn2Real Transfer Learning for Image Deraining using Gaussian ProcessesCode1
Transient Non-Stationarity and Generalisation in Deep Reinforcement Learning—0
Bombus Species Image Classification—0
GEOM: Energy-annotated molecular conformations for property prediction and molecular generationCode1
A Review of Automated Diagnosis of COVID-19 Based on Scanning Images—0
Improving Cross-Lingual Transfer Learning for End-to-End Speech Recognition with Speech Translation—0
Learning Constrained Dynamics with Gauss' Principle adhering Gaussian ProcessesCode0
DoubleU-Net: A Deep Convolutional Neural Network for Medical Image SegmentationCode1
Multi-step Estimation for Gradient-based Meta-learning—0
Unsupervised Transfer Learning with Self-Supervised Remedy—0
Advance Warning Methodologies for COVID-19 using Chest X-Ray ImagesCode0
Efficient Architecture Search for Continual Learning—0
Attention-Based Deep Learning Framework for Human Activity Recognition with User AdaptationCode1
Knowledge-Based Learning through Feature Generation—0
Auxiliary Signal-Guided Knowledge Encoder-Decoder for Medical Report GenerationCode1
Acoustic Anomaly Detection for Machine Sounds based on Image Transfer Learning—0
Cross-lingual Transfer Learning for COVID-19 Outbreak Alignment—0
Continuous Transfer Learning with Label-informed Distribution Alignment—0
Filtered Inner Product Projection for Crosslingual Embedding Alignment—0
Knowledge transfer between bridges for drive-by monitoring using adversarial and multi-task learning—0
Learning to Rank Learning Curves—0
Neuropsychiatric Disease Classification Using Functional Connectomics -- Results of the Connectomics in NeuroImaging Transfer Learning Challenge—0
Fast CRDNN: Towards on Site Training of Mobile Construction Machines—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
A Siamese Neural Network with Modified Distance Loss For Transfer Learning in Speech Emotion Recognition—0
End-to-End Speech-Translation with Knowledge Distillation: FBK@IWSLT2020—0
Meta Dialogue Policy Learning—0
Learning across label confidence distributions using Filtered Transfer Learning—0
Transfer Learning for British Sign Language Modelling—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
Learning to Branch for Multi-Task Learning—0
WikiBERT models: deep transfer learning for many languagesCode0
Fast visual grounding in interaction: bringing few-shot learning with neural networks to an interactive robot—0
Similarit\'e s\'emantique entre phrases : apprentissage par transfert interlingue (Semantic Sentence Similarity : Multilingual Transfer Learning)—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
A Systematic Study of Inner-Attention-Based Sentence Representations in Multilingual Neural Machine Translation—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