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 7351–7400 of 10307 papers

TitleStatusHype
Cross-lingual Transfer Learning for Semantic Role Labeling in Russian—0
Classification of Diabetic Retinopathy Using Unlabeled Data and Knowledge Distillation—0
Unsupervised Domain Adaptation with Progressive Adaptation of SubspacesCode0
Evaluating Knowledge Transfer in Neural Network for Medical Images—0
Learning to Localize Actions from MomentsCode1
Multimodal Inductive Transfer Learning for Detection of Alzheimer's Dementia and its SeverityCode1
Transfer Learning-based Road Damage Detection for Multiple CountriesCode1
AKHCRNet: Bengali Handwritten Character Recognition Using Deep LearningCode1
Knowledge Efficient Deep Learning for Natural Language Processing—0
Few-Shot Object Detection via Knowledge Transfer—0
On Transfer Learning of Traditional Frequency and Time Domain Features in Turning—0
All About Knowledge Graphs for Actions—0
A transfer learning metamodel using artificial neural networks applied to natural convection flows in enclosuresCode0
Adaptively-Accumulated Knowledge Transfer for Partial Domain Adaptation—0
A Flexible Selection Scheme for Minimum-Effort Transfer Learning—0
Neural Code Search Revisited: Enhancing Code Snippet Retrieval through Natural Language IntentCode1
An End-to-End Attack on Text-based CAPTCHAs Based on Cycle-Consistent Generative Adversarial Network—0
Attr2Style: A Transfer Learning Approach for Inferring Fashion Styles via Apparel Attributes—0
Disentangled Adversarial Autoencoder for Subject-Invariant Physiological Feature Extraction—0
What is being transferred in transfer learning?Code1
Two Sides of the Same Coin: White-box and Black-box Attacks for Transfer LearningCode0
FastSal: a Computationally Efficient Network for Visual Saliency PredictionCode1
Graphical Object Detection in Document ImagesCode1
1st Place Solution to Google Landmark Retrieval 2020Code1
Variable Compliance Control for Robotic Peg-in-Hole Assembly: A Deep Reinforcement Learning Approach—0
3D for Free: Crossmodal Transfer Learning using HD Maps—0
Learn to Talk via Proactive Knowledge Transfer—0
Multi-kernel Passive Stochastic Gradient Algorithms and Transfer Learning—0
Predicting Helpfulness of Online Reviews—0
A Benchmark for Studying Diabetic Retinopathy: Segmentation, Grading, and Transferability—0
Few-Shot Learning with Intra-Class Knowledge Transfer—0
Learning to Profile: User Meta-Profile Network for Few-Shot Learning—0
Abstractive Summarization of Spoken and Written Instructions with BERTCode1
Graph Neural Networks for UnsupervisedDomain Adaptation of Histopathological ImageAnalytics—0
Abstractive Summarization of Spoken andWritten Instructions with BERTCode2
An Improved Person Re-identification Method by light-weight convolutional neural networkCode1
Adaptive multi-channel event segmentation and feature extraction for monitoring health outcomes—0
Laughter Synthesis: Combining Seq2seq modeling with Transfer LearningCode1
Physically-Constrained Transfer Learning through Shared Abundance Space for Hyperspectral Image Classification—0
Knowledge Transfer via Dense Cross-Layer Mutual-DistillationCode1
Contact Area Detector using Cross View Projection Consistency for COVID-19 Projects—0
Unsupervised Transfer Learning for Anomaly Detection: Application to Complementary Operating Condition Transfer—0
AlphaNet: Improving Long-Tail Classification By Combining ClassifiersCode0
Siloed Federated Learning for Multi-Centric Histopathology Datasets—0
TopicBERT: A Transformer transfer learning based memory-graph approach for multimodal streaming social media topic detection—0
Jointly Fine-Tuning “BERT-like” Self Supervised Models to Improve Multimodal Speech Emotion RecognitionCode1
Hate Speech Detection and Racial Bias Mitigation in Social Media based on BERT model—0
Language Models as Few-Shot Learner for Task-Oriented Dialogue Systems—0
Unsupervised vs. transfer learning for multimodal one-shot matching of speech and imagesCode0
Not 3D Re-ID: a Simple Single Stream 2D Convolution for Robust Video Re-identification—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