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 3201–3225 of 10307 papers

TitleStatusHype
DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model—0
Speech Translation with Foundation Models and Optimal Transport: UPC at IWSLT23—0
On the Robustness of Arabic Speech Dialect Identification—0
TMI! Finetuned Models Leak Private Information from their Pretraining DataCode0
The Effects of Input Type and Pronunciation Dictionary Usage in Transfer Learning for Low-Resource Text-to-Speech—0
Transfer Learning for Underrepresented Music Generation—0
Towards Foundation Models for Scientific Machine Learning: Characterizing Scaling and Transfer Behavior—0
Divide, Conquer, and Combine: Mixture of Semantic-Independent Experts for Zero-Shot Dialogue State Tracking—0
Autism Disease Detection Using Transfer Learning Techniques: Performance Comparison Between Central Processing Unit vs Graphics Processing Unit Functions for Neural Networks—0
Improving Polish to English Neural Machine Translation with Transfer Learning: Effects of Data Volume and Language Similarity—0
Maximal Domain Independent Representations Improve Transfer Learning—0
Improved Cross-Lingual Transfer Learning For Automatic Speech Translation—0
Adapting Pre-trained Language Models to Vision-Language Tasks via Dynamic Visual PromptingCode0
CL-MRI: Self-Supervised Contrastive Learning to Improve the Accuracy of Undersampled MRI ReconstructionCode0
Fish-TViT: A novel fish species classification method in multi water areas based on transfer learning and vision transformer—0
CrystalGPT: Enhancing system-to-system transferability in crystallization prediction and control using time-series-transformers—0
Adaptive ship-radiated noise recognition with learnable fine-grained wavelet transform—0
Simple yet Effective Code-Switching Language Identification with Multitask Pre-Training and Transfer Learning—0
Additional Positive Enables Better Representation Learning for Medical Images—0
Pre-Trained Language-Meaning Models for Multilingual Parsing and GenerationCode0
MetaXLR -- Mixed Language Meta Representation Transformation for Low-resource Cross-lingual Learning based on Multi-Armed BanditCode0
SLABERT Talk Pretty One Day: Modeling Second Language Acquisition with BERT—0
VIPriors 3: Visual Inductive Priors for Data-Efficient Deep Learning Challenges—0
Deep into The Domain Shift: Transfer Learning through Dependence RegularizationCode0
Point-GCC: Universal Self-supervised 3D Scene Pre-training via Geometry-Color ContrastCode1
Show:102550
← PrevPage 129 of 413Next →
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