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 8126–8150 of 10307 papers

TitleStatusHype
Zero-Shot Cross-Lingual Document-Level Event Causality Identification with Heterogeneous Graph Contrastive Transfer Learning—0
Zero-shot Cross-lingual Transfer Learning with Multiple Source and Target Languages for Information Extraction: Language Selection and Adversarial Training—0
Zero-shot Event Extraction via Transfer Learning: Challenges and Insights—0
Zero-Shot Heterogeneous Transfer Learning from Recommender Systems to Cold-Start Search Retrieval—0
Zero-shot Learning and Knowledge Transfer in Music Classification and Tagging—0
Zero-shot Learning via Shared-Reconstruction-Graph Pursuit—0
Zero-Shot Learning with Generative Latent Prototype Model—0
Zero-Shot Object Recognition by Semantic Manifold Distance—0
Zero-Shot Physics-Guided Deep Learning for Subject-Specific MRI Reconstruction—0
Zero-shot Reading Comprehension by Cross-lingual Transfer Learning with Multi-lingual Language Representation Model—0
Zero-Shot Reinforcement Learning on Graphs for Autonomous Exploration Under Uncertainty—0
Zero-Shot Sign Language Recognition: Can Textual Data Uncover Sign Languages?—0
Sim-to-Real Transfer of Robot Learning with Variable Length Inputs—0
Zero-shot transfer for implicit discourse relation classification—0
Zero-shot Transfer Learning for Gray-box Hyper-parameter Optimization—0
Zero-shot Transfer Learning for Semantic Parsing—0
Zero-Shot Transfer VQA Dataset—0
Zero-Shot Transfer with Deictic Object-Oriented Representation in Reinforcement Learning—0
mForms : Multimodal Form-Filling with Question Answering—0
Zeta Distribution and Transfer Learning Problem—0
Zipfian corruptions for robust POS tagging—0
Zoo-Tuning: Adaptive Transfer from a Zoo of Models—0
Transfer Learning versus Multi-agent Learning regarding Distributed Decision-Making in Highway Traffic—0
Transfer Learning via Auxiliary Labels with Application to Cold-Hardiness Prediction—0
Transfer Learning via Contextual Invariants for One-to-Many Cross-Domain Recommendation—0
Show:102550
← PrevPage 326 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