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 5701–5750 of 10307 papers

TitleStatusHype
Multi-Domain Evolutionary Optimization of Network Structures—0
Multi-Domain Graph Foundation Models: Robust Knowledge Transfer via Topology Alignment—0
Multi-Domain Norm-referenced Encoding Enables Data Efficient Transfer Learning of Facial Expression Recognition—0
Multi-Domain Sentiment Relevance Classification with Automatic Representation Learning—0
Multi-Environment based Meta-Learning with CSI Fingerprints for Radio Based Positioning—0
Multifactorial Cellular Genetic Algorithm (MFCGA): Algorithmic Design, Performance Comparison and Genetic Transferability Analysis—0
Multi-Fidelity Bayesian Neural Network for Uncertainty Quantification in Transonic Aerodynamic Loads—0
Multi-fidelity Gaussian Process for Biomanufacturing Process Modeling with Small Data—0
Multi-fidelity prediction of fluid flow and temperature field based on transfer learning using Fourier Neural Operator—0
Multi-fidelity reinforcement learning framework for shape optimization—0
Multifidelity Simulation-based Inference for Computationally Expensive Simulators—0
Multi-Hierarchical Surrogate Learning for Structural Dynamical Crash Simulations Using Graph Convolutional Neural Networks—0
Multi-kernel Passive Stochastic Gradient Algorithms and Transfer Learning—0
Multi-Label and Multilingual News Framing Analysis—0
Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing—0
Multi-Label Classification on Remote-Sensing Images—0
Multi-label Learning Based Deep Transfer Neural Network for Facial Attribute Classification—0
Multi-Label Transfer Learning for Multi-Relational Semantic Similarity—0
Multi-label Zero-shot Classification by Learning to Transfer from External Knowledge—0
Multi-Label Zero-Shot Human Action Recognition via Joint Latent Ranking Embedding—0
Multi-Label Zero-Shot Learning with Transfer-Aware Label Embedding Projection—0
Label-aware Multi-level Contrastive Learning for Cross-lingual Spoken Language Understanding—0
Multi-level datasets training method in Physics-Informed Neural Networks—0
Multi-Level Fine-Tuning, Data Augmentation, and Few-Shot Learning for Specialized Cyber Threat Intelligence—0
Multilevel Knowledge Transfer for Cross-Domain Object Detection—0
Multilingual Argument Mining: Datasets and Analysis—0
Multilingual Dependency Parsing for Low-Resource African Languages: Case Studies on Bambara, Wolof, and Yoruba—0
Multilingual Document-Level Translation Enables Zero-Shot Transfer From Sentences to Documents—0
Multilingual Document-Level Translation Enables Zero-Shot Transfer From Sentences to Documents—0
Multilingual Dyadic Interaction Corpus NoXi+J: Toward Understanding Asian-European Non-verbal Cultural Characteristics and their Influences on Engagement—0
Multilingual End-to-End Speech Translation—0
Multilingual Neural Machine Translation—0
Multi-lingual neural title generation for e-Commerce browse pages—0
Multilingual Offensive Language Identification for Low-resource Languages—0
Multilingual Pre-Trained Transformers and Convolutional NN Classification Models for Technical Domain Identification—0
Multilingual Projection for Parsing Truly Low-Resource Languages—0
Multilingual Prosody Transfer: Comparing Supervised & Transfer Learning—0
Multilingual sequence-to-sequence speech recognition: architecture, transfer learning, and language modeling—0
Multilingual Speech Recognition using Knowledge Transfer across Learning Processes—0
Multilingual Speech Translation from Efficient Finetuning of Pretrained Models—0
Multilingual Training of Crosslingual Word Embeddings—0
Multilingual Transfer Learning for Children Automatic Speech Recognition—0
Multilingual Transfer Learning for Code-Switched Language and Speech Neural Modeling—0
Multilingual Transfer Learning for QA Using Translation as Data Augmentation—0
Multilingual Universal Sentence Encoder for Semantic Retrieval—0
Multi-lingual Wikipedia Summarization and Title Generation On Low Resource Corpus—0
UXLA: A Robust Unsupervised Data Augmentation Framework for Zero-Resource Cross-Lingual NLP—0
Multimodal AI on Wound Images and Clinical Notes for Home Patient Referral—0
Multimodal Alignment and Fusion: A Survey—0
Multimodal and self-supervised representation learning for automatic gesture recognition in surgical robotics—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