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 5001–5050 of 10307 papers

TitleStatusHype
A Locally Adaptive Algorithm for Multiple Testing with Network Structure—0
Mask Usage Recognition using Vision Transformer with Transfer Learning and Data Augmentation—0
A Computational Approach to Understand Mental Health from Reddit: Knowledge-aware Multitask Learning Framework—0
Visuo-Haptic Object Perception for Robots: An Overview—0
Transformer-based HTR for Historical DocumentsCode1
CLIP meets GamePhysics: Towards bug identification in gameplay videos using zero-shot transfer learningCode1
Deep Learning based Intelligent Coin-tap Test for Defect RecognitionCode0
simCrossTrans: A Simple Cross-Modality Transfer Learning for Object Detection with ConvNets or Vision TransformersCode0
Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal TransportCode1
Continual Sequence Generation with Adaptive Compositional ModulesCode1
A Study on Robustness to Perturbations for Representations of Environmental Sound—0
Towards 3D Scene Understanding by Referring Synthetic Models—0
VGSE: Visually-Grounded Semantic Embeddings for Zero-Shot LearningCode1
Performance of Deep Learning models with transfer learning for multiple-step-ahead forecasts in monthly time series—0
Learning Affordance Grounding from Exocentric ImagesCode1
A Closer Look at Knowledge Distillation with Features, Logits, and Gradients—0
Analysis and Adaptation of YOLOv4 for Object Detection in Aerial Images—0
AdaVocoder: Adaptive Vocoder for Custom Voice—0
Multi-Modal Masked Pre-Training for Monocular Panoramic Depth CompletionCode0
Transferable Class-Modelling for Decentralized Source Attribution of GAN-Generated ImagesCode0
DocXClassifier: High Performance Explainable Deep Network for Document Image ClassificationCode1
POSTER: Diagnosis of COVID-19 through Transfer Learning Techniques on CT Scans: A Comparison of Deep Learning Models—0
Semantic-diversity transfer network for generalized zero-shot learning via inner disagreement based OOD detector—0
Mixing Up Contrastive Learning: Self-Supervised Representation Learning for Time SeriesCode1
Image Super-Resolution With Deep Variational Autoencoders—0
Feature-informed Latent Space Regularization for Music Source Separation—0
Triangular Transfer: Freezing the Pivot for Triangular Machine Translation—0
Transfer learning for cross-modal demand prediction of bike-share and public transit—0
Continuous Detection, Rapidly React: Unseen Rumors Detection based on Continual Prompt-TuningCode0
CtlGAN: Few-shot Artistic Portraits Generation with Contrastive Transfer Learning—0
Object discovery and representation networksCode0
Transforming Sequence Tagging Into A Seq2Seq Task—0
SemiPFL: Personalized Semi-Supervised Federated Learning Framework for Edge IntelligenceCode1
SATS: Self-Attention Transfer for Continual Semantic SegmentationCode1
Leveraging Visual Knowledge in Language Tasks: An Empirical Study on Intermediate Pre-training for Cross-modal Knowledge Transfer—0
SuperAnimal pretrained pose estimation models for behavioral analysisCode5
Deep Transfer Learning with Graph Neural Network for Sensor-Based Human Activity Recognition—0
Bures Joint Distribution Alignment with Dynamic Margin for Unsupervised Domain Adaptation—0
SUPERB-SG: Enhanced Speech processing Universal PERformance Benchmark for Semantic and Generative Capabilities—0
Continual Prompt Tuning for Dialog State TrackingCode1
Model Inversion Attack against Transfer Learning: Inverting a Model without Accessing It—0
A survey of underwater acoustic data classification methods using deep learning for shoreline surveillance—0
GSDA: Generative Adversarial Network-based Semi-Supervised Data Augmentation for Ultrasound Image Classification—0
Leveraging universality of jet taggers through transfer learning—0
A Survey of Surface Defect Detection of Industrial Products Based on A Small Number of Labeled Data—0
Reprogramming FairGANs with Variational Auto-Encoders: A New Transfer Learning Model—0
REX: Reasoning-aware and Grounded ExplanationCode1
BabyNet: Reconstructing 3D faces of babies from uncalibrated photographs—0
PACTran: PAC-Bayesian Metrics for Estimating the Transferability of Pretrained Models to Classification TasksCode1
Transferring Dual Stochastic Graph Convolutional Network for Facial Micro-expression Recognition—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