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 1951–2000 of 10307 papers

TitleStatusHype
Rapid morphology characterization of two-dimensional TMDs and lateral heterostructures based on deep learningCode0
Asynchronous Personalized Federated Learning through Global Memorization—0
Foundation-Model-Boosted Multimodal Learning for fMRI-based Neuropathic Pain Drug Response PredictionCode0
Optimal Transfer Learning for Missing Not-at-Random Matrix Completion—0
ECLeKTic: a Novel Challenge Set for Evaluation of Cross-Lingual Knowledge Transfer—0
RuCCoD: Towards Automated ICD Coding in RussianCode0
Fine-tuning machine-learned particle-flow reconstruction for new detector geometries in future colliders—0
Transfer Learning in Latent Contextual Bandits with Covariate Shift Through Causal TransportabilityCode0
Exploring Open-world Continual Learning with Knowns-Unknowns Knowledge TransferCode0
Deep Convolutional Neural Networks for Palm Fruit Maturity ClassificationCode0
A Sample-Level Evaluation and Generative Framework for Model Inversion AttacksCode0
GraphBridge: Towards Arbitrary Transfer Learning in GNNsCode0
Can RLHF be More Efficient with Imperfect Reward Models? A Policy Coverage PerspectiveCode0
Deep Learning-Based Transfer Learning for Classification of Cassava Disease—0
Transfer Learning for Transient Classification: From Simulations to Real Data and ZTF to LSST—0
Conformal Prediction Under Generalized Covariate Shift with Posterior Drift—0
Language Models' Factuality Depends on the Language of InquiryCode0
Provable Benefits of Unsupervised Pre-training and Transfer Learning via Single-Index Models—0
Geometric Properties and Graph-Based Optimization of Neural Networks: Addressing Non-Linearity, Dimensionality, and Scalability—0
Multimodal Bearing Fault Classification Under Variable Conditions: A 1D CNN with Transfer Learning—0
Diagnosing COVID-19 Severity from Chest X-Ray Images Using ViT and CNN ArchitecturesCode0
AUKT: Adaptive Uncertainty-Guided Knowledge Transfer with Conformal Prediction—0
Rewards-based image analysis in microscopy—0
Recurrent Knowledge Identification and Fusion for Language Model Continual Learning—0
Joint Similarity Item Exploration and Overlapped User Guidance for Multi-Modal Cross-Domain Recommendation—0
Separated Contrastive Learning for Matching in Cross-domain Recommendation with Curriculum Scheduling—0
Iterative Auto-Annotation for Scientific Named Entity Recognition Using BERT-Based Models—0
CSTRL: Context-Driven Sequential Transfer Learning for Abstractive Radiology Report SummarizationCode0
TransMamba: Fast Universal Architecture Adaption from Transformers to Mamba—0
Graph Attention Convolutional U-NET: A Semantic Segmentation Model for Identifying Flooded Areas—0
MultiSlav: Using Cross-Lingual Knowledge Transfer to Combat the Curse of Multilinguality—0
FedMobile: Enabling Knowledge Contribution-aware Multi-modal Federated Learning with Incomplete Modalities—0
Synergistic Fusion of Multi-Source Knowledge via Evidence Theory for High-Entropy Alloy Discovery—0
Multimodal Quantitative Language for Generative Recommendation—0
Distribution Matching for Self-Supervised Transfer LearningCode0
Multi-dataset synergistic in supervised learning to pre-label structural components in point clouds from shell construction scenes—0
A Macro- and Micro-Hierarchical Transfer Learning Framework for Cross-Domain Fake News Detection—0
Evolutionary Algorithms Approach For Search Based On Semantic Document Similarity—0
Edit Once, Update Everywhere: A Simple Framework for Cross-Lingual Knowledge Synchronization in LLMs—0
Asymmetric Co-Training for Source-Free Few-Shot Domain AdaptationCode0
Appeal prediction for AI up-scaled ImagesCode0
Noise May Contain Transferable Knowledge: Understanding Semi-supervised Heterogeneous Domain Adaptation from an Empirical PerspectiveCode0
Enhancing Machine Learning Potentials through Transfer Learning across Chemical Elements—0
UniGenCoder: Merging Seq2Seq and Seq2Tree Paradigms for Unified Code GenerationCode0
Detection and Geographic Localization of Natural Objects in the Wild: A Case Study on Palms—0
Pre-training Auto-regressive Robotic Models with 4D Representations—0
Performance Evaluation of Sentiment Analysis on Text and Emoji Data Using End-to-End, Transfer Learning, Distributed and Explainable AI Models—0
Transfer Learning of CATE with Kernel Ridge RegressionCode0
Balanced Multi-Factor In-Context Learning for Multilingual Large Language Models—0
PreAdaptFWI: Pretrained-Based Adaptive Residual Learning for Full-Waveform Inversion Without Dataset Dependency—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