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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 6351–6400 of 10307 papers

TitleStatusHype
HydroDeep -- A Knowledge Guided Deep Neural Network for Geo-Spatiotemporal Data Analysis—0
Hyper Adversarial Tuning for Boosting Adversarial Robustness of Pretrained Large Vision Models—0
Hyperbolic Category Discovery—0
Hyperbolic Knowledge Transfer in Cross-Domain Recommendation System—0
Hypergraph-enhanced Dual Semi-supervised Graph Classification—0
Hypernetworks for Zero-shot Transfer in Reinforcement Learning—0
Hyperparameter Transfer Learning through Surrogate Alignment for Efficient Deep Neural Network Training—0
Hyperparameter Transfer Learning with Adaptive Complexity—0
HyperPELT: Unified Parameter-Efficient Language Model Tuning for Both Language and Vision-and-Language Tasks—0
Hyperspectral Image Restoration and Super-resolution with Physics-Aware Deep Learning for Biomedical Applications—0
Hyperspectral Imaging Technology and Transfer Learning Utilized in Identification Haploid Maize Seeds—0
HyperspectralMAE: The Hyperspectral Imagery Classification Model using Fourier-Encoded Dual-Branch Masked Autoencoder—0
Hyperspectral Pixel Unmixing with Latent Dirichlet Variational Autoencoder—0
Hypothesis Disparity Regularized Mutual Information Maximization—0
Hypothesis Transfer in Bandits by Weighted Models—0
Hypothesis Transfer Learning via Transformation Functions—0
Hypothesis Transfer Learning with Surrogate Classification Losses: Generalization Bounds through Algorithmic Stability—0
I2CKD : Intra- and Inter-Class Knowledge Distillation for Semantic Segmentation—0
I2T2I: Learning Text to Image Synthesis with Textual Data Augmentation—0
ICGNN: Graph Neural Network Enabled Scalable Beamforming for MISO Interference Channels—0
iConFormer: Dynamic Parameter-Efficient Tuning with Input-Conditioned Adaptation—0
Intelligent Model Update Strategy for Sequential Recommendation—0
Identification of Cognitive Workload during Surgical Tasks with Multimodal Deep Learning—0
Identification of pneumonia on chest x-ray images through machine learning—0
Identification of Social-Media Platform of Videos through the Use of Shared Features—0
Identifying disease-free chest X-ray images with deep transfer learning—0
Identifying Individual Dogs in Social Media Images—0
Identifying individual facial expressions by deconstructing a neural network—0
Identifying Intention Posts in Discussion Forums—0
Identifying Misinformation from Website Screenshots—0
Identifying regions of interest in whole slide images of renal cell carcinoma—0
Identifying Suitable Tasks for Inductive Transfer Through the Analysis of Feature Attributions—0
Identifying Transferable Information Across Domains for Cross-domain Sentiment Classification—0
IDPG: An Instance-Dependent Prompt Generation Method—0
IDPG: An Instance-Dependent Prompt Generation Method—0
"I'd rather just go to bed": Understanding Indirect Answers—0
``I'd rather just go to bed'': Understanding Indirect Answers—0
iFuzzyTL: Interpretable Fuzzy Transfer Learning for SSVEP BCI System—0
IGOR: Image-GOal Representations are the Atomic Control Units for Foundation Models in Embodied AI—0
iLab-20M: A Large-Scale Controlled Object Dataset to Investigate Deep Learning—0
Image Analytics for Legal Document Review: A Transfer Learning Approach—0
Image augmentation improves few-shot classification performance in plant disease recognition—0
Image-based Detection of Segment Misalignment in Multi-mirror Satellites using Transfer Learning—0
Image Based Fashion Product Recommendation with Deep Learning—0
Image-based Localization using Hourglass Networks—0
Image Classification for Snow Detection to Improve Pedestrian Safety—0
Image Credibility Analysis with Effective Domain Transferred Deep Networks—0
ImageNet performance correlates with pose estimation robustness and generalization on out-of-domain data—0
Image Super-Resolution With Deep Variational Autoencoders—0
Image-Text-Image Knowledge Transferring for Lifelong Person Re-Identification with Hybrid Clothing States—0
Show:102550
← PrevPage 128 of 207Next →
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