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 7701–7750 of 10307 papers

TitleStatusHype
Unsupervised Word Translation with Adversarial Autoencoder—0
Syn2Real Transfer Learning for Image Deraining Using Gaussian Processes—0
Enhanced Transport Distance for Unsupervised Domain Adaptation—0
Google Landmarks Dataset v2 - A Large-Scale Benchmark for Instance-Level Recognition and RetrievalCode1
Smoothing Adversarial Domain Attack and P-Memory Reconsolidation for Cross-Domain Person Re-Identification—0
Distilling Image Dehazing With Heterogeneous Task ImitationCode0
Online Knowledge Distillation via Collaborative LearningCode1
Multi-Stage Transfer Learning with an Application to Selection Process—0
Automatic classification between COVID-19 pneumonia, non-COVID-19 pneumonia, and the healthy on chest X-ray image: combination of data augmentation methodsCode0
Exploring Thermal Images for Object Detection in Underexposure Regions for Autonomous Driving—0
A Survey on Transfer Learning in Natural Language Processing—0
Attribute-Induced Bias Eliminating for Transductive Zero-Shot Learning—0
Weight Squeezing: Reparameterization for Compression and Fast Inference—0
Critical Assessment of Transfer Learning for Medical Image Segmentation with Fully Convolutional Neural Networks—0
Deep Job Understanding at LinkedIn—0
Improving Mammography Malignancy Segmentation by Designing the Training Process—0
Massive Choice, Ample Tasks (MaChAmp): A Toolkit for Multi-task Learning in NLPCode1
Contextual Dialogue Act Classification for Open-Domain Conversational AgentsCode0
Human Recognition Using Face in Computed Tomography—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
Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly DetectionCode1
Universal Lesion Detection by Learning from Multiple Heterogeneously Labeled Datasets—0
Balanced joint maximum mean discrepancy for deep transfer learningCode0
SSM-Net for Plants Disease Identification in Low Data RegimeCode0
Counterfactual Detection meets 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
Automating the Surveillance of Mosquito Vectors from Trapped Specimens Using Computer Vision Techniques—0
A review of sentiment analysis research in Arabic language—0
Learning to Transfer Graph Embeddings for Inductive Graph based Recommendation—0
Domain Specific, Semi-Supervised Transfer Learning for Medical Imaging—0
A machine learning approach to using Quality-of-Life patient scores in guiding prostate radiation therapy dosing—0
Automatic Discovery of Novel Intents & Domains from Text Utterances—0
Classification of Epithelial Ovarian Carcinoma Whole-Slide Pathology Images Using Deep Transfer LearningCode1
Leveraging Text Data Using Hybrid Transformer-LSTM Based End-to-End ASR in Transfer Learning—0
Cross-Domain Few-Shot Learning with Meta Fine-Tuning—0
Bridging the gap between Natural and Medical Images through Deep ColorizationCode0
Learning to Transfer Dynamic Models of Underactuated Soft Robotic Hands—0
Text-to-Text Pre-Training for Data-to-Text TasksCode1
Transfer Learning via Contextual Invariants for One-to-Many Cross-Domain Recommendation—0
Classification of Industrial Control Systems screenshots using Transfer Learning—0
A Further Study of Unsupervised Pre-training for Transformer Based Speech RecognitionCode1
Hidden Markov Models and their Application for Predicting Failure Events—0
Transfer learning based multi-fidelity physics informed deep neural network—0
Cross-lingual Approaches for Task-specific Dialogue Act Recognition—0
Self-supervised Transfer Learning for Instance Segmentation through Physical InteractionCode0
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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