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 2251–2300 of 10307 papers

TitleStatusHype
Facing the Elephant in the Room: Visual Prompt Tuning or Full Finetuning?Code1
TCE at Qur'an QA 2023 Shared Task: Low Resource Enhanced Transformer-based Ensemble Approach for Qur'anic QACode1
Cheap Learning: Maximising Performance of Language Models for Social Data Science Using Minimal DataCode0
Contrastive Learning and Cycle Consistency-based Transductive Transfer Learning for Target Annotation—0
Transfer Learning for Nonparametric Regression: Non-asymptotic Minimax Analysis and Adaptive Procedure—0
Cross-lingual Transfer Learning for Javanese Dependency Parsing—0
Less Could Be Better: Parameter-efficient Fine-tuning Advances Medical Vision Foundation ModelsCode1
Feature Denoising Diffusion Model for Blind Image Quality Assessment—0
Transfer learning-assisted inverse modeling in nanophotonics based on mixture density networks—0
A Hybrid Approach of Transfer Learning and Physics-Informed Modeling: Improving Dissolved Oxygen Concentration Prediction in an Industrial Wastewater Treatment Plant—0
Progressive Distillation Based on Masked Generation Feature Method for Knowledge Graph CompletionCode0
HiCD: Change Detection in Quality-Varied Images via Hierarchical Correlation DistillationCode1
Named Entity Recognition Under Domain Shift via Metric Learning for Life SciencesCode0
A Systematic Evaluation of Euclidean Alignment with Deep Learning for EEG Decoding—0
Boosting Few-Shot Segmentation via Instance-Aware Data Augmentation and Local Consensus Guided Cross Attention—0
Transfer Learning in Human Activity Recognition: A Survey—0
Few-shot learning for COVID-19 Chest X-Ray Classification with Imbalanced Data: An Inter vs. Intra Domain StudyCode0
Cross-lingual Offensive Language Detection: A Systematic Review of Datasets, Transfer Approaches and ChallengesCode0
Selecting Subsets of Source Data for Transfer Learning with Applications in Metal Additive Manufacturing—0
N-Adaptive Ritz Method: A Neural Network Enriched Partition of Unity for Boundary Value Problems—0
Surface-Enhanced Raman Spectroscopy and Transfer Learning Toward Accurate Reconstruction of the Surgical Zone—0
Using i-vectors for subject-independent cross-session EEG transfer learning—0
Transferring Core Knowledge via Learngenes—0
SAPT: A Shared Attention Framework for Parameter-Efficient Continual Learning of Large Language Models—0
Generative Denoise Distillation: Simple Stochastic Noises Induce Efficient Knowledge Transfer for Dense PredictionCode0
Quantum Transfer Learning for Acceptability Judgements—0
Walert: Putting Conversational Search Knowledge into Action by Building and Evaluating a Large Language Model-Powered ChatbotCode1
Harnessing Machine Learning for Discerning AI-Generated Synthetic Images—0
Knowledge Distillation of Black-Box Large Language Models—0
Concrete Surface Crack Detection with Convolutional-based Deep Learning Models—0
Transcending Controlled Environments Assessing the Transferability of ASRRobust NLU Models to Real-World Applications—0
PersianMind: A Cross-Lingual Persian-English Large Language Model—0
Dynamic Indoor Fingerprinting Localization based on Few-Shot Meta-Learning with CSI Images—0
POMP: Probability-driven Meta-graph Prompter for LLMs in Low-resource Unsupervised Neural Machine Translation—0
Zero Resource Cross-Lingual Part Of Speech Tagging—0
Enhancing Blood Flow Assessment in Diffuse Correlation Spectroscopy: A Transfer Learning Approach with Noise Robustness Analysis—0
VI-PANN: Harnessing Transfer Learning and Uncertainty-Aware Variational Inference for Improved Generalization in Audio Pattern RecognitionCode0
Consensus Focus for Object Detection and minority classesCode0
Source-Free Cross-Modal Knowledge Transfer by Unleashing the Potential of Task-Irrelevant Data—0
Neural Population Learning beyond Symmetric Zero-sum Games—0
Taming "data-hungry" reinforcement learning? Stability in continuous state-action spaces—0
Low-Resource Vision Challenges for Foundation Models—0
Arabic Text Diacritization In The Age Of Transfer Learning: Token Classification Is All You Need—0
Transfer-Learning-Based Autotuning Using Gaussian CopulaCode1
Anatomy of Neural Language ModelsCode0
Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time SeriesCode4
Attention-Guided Erasing: A Novel Augmentation Method for Enhancing Downstream Breast Density Classification—0
Logits Poisoning Attack in Federated Distillation—0
Few-Shot Causal Representation Learning for Out-of-Distribution Generalization on Heterogeneous Graphs—0
Time-lapse seismic inversion for CO2 saturation with SeisCO2Net: An application to Frio-II siteCode1
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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