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 3801–3850 of 10307 papers

TitleStatusHype
Topological Learning for Motion Data via Mixed CoordinatesCode0
Adapter Pruning using Tropical Characterization—0
A foundational neural operator that continuously learns without forgetting—0
QWID: Quantized Weed Identification Deep neural networkCode0
RCKD: Response-Based Cross-Task Knowledge Distillation for Pathological Image Analysis—0
Transfer Learning in Transformer-Based Demand Forecasting For Home Energy Management System—0
Automaton Distillation: Neuro-Symbolic Transfer Learning for Deep Reinforcement Learning—0
A transfer learning approach with convolutional neural network for Face Mask Detection—0
ODM3D: Alleviating Foreground Sparsity for Semi-Supervised Monocular 3D Object DetectionCode0
Parameter-Efficient Methods for Metastases Detection from Clinical Notes—0
MELEP: A Novel Predictive Measure of Transferability in Multi-Label ECG DiagnosisCode0
Boosting Data Analytics With Synthetic Volume ExpansionCode0
Transductive conformal inference with adaptive scoresCode0
Large-scale Foundation Models and Generative AI for BigData Neuroscience—0
Can LLMs Grade Short-Answer Reading Comprehension Questions : An Empirical Study with a Novel Dataset—0
De-novo Chemical Reaction Generation by Means of Temporal Convolutional Neural Networks—0
Feature Extraction and Classification from Planetary Science Datasets enabled by Machine Learning—0
Unleashing the potential of GNNs via Bi-directional Knowledge Transfer—0
Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained ModelCode0
Transfer of Reinforcement Learning-Based Controllers from Model- to Hardware-in-the-Loop—0
Learning Transfers over Several Programming Languages—0
An Efficient Deep Learning-based approach for Recognizing Agricultural Pests in the Wild—0
Deep machine learning for meteor monitoring: advances with transfer learning and gradient-weighted class activation mapping—0
Transferring a molecular foundation model for polymer property predictions—0
Combining Behaviors with the Successor Features Keyboard—0
Ensemble of Task-Specific Language Models for Brain EncodingCode0
Mean Teacher DETR with Masked Feature Alignment: A Robust Domain Adaptive Detection Transformer Framework—0
Retrieval-based Knowledge Transfer: An Effective Approach for Extreme Large Language Model Compression—0
Transfer learning for day-ahead load forecasting: a case study on European national electricity demand time seriesCode0
Deep Learning Models for Classification of COVID-19 Cases by Medical Images—0
Unlocking the Transferability of Tokens in Deep Models for Tabular Data—0
Burgers' pinns with implicit euler transfer learning—0
Bayesian Active Learning in the Presence of Nuisance Parameters—0
Quantum Federated Learning With Quantum Networks—0
Mobile Traffic Prediction at the Edge Through Distributed and Deep Transfer Learning—0
Cross-Domain HAR: Few Shot Transfer Learning for Human Activity Recognition—0
Minimax Optimal Transfer Learning for Kernel-based Nonparametric Regression—0
Ladder Bottom-up Convolutional Bidirectional Variational Autoencoder for Image Translation of Dotted Arabic Expiration Dates—0
Foundation Model's Embedded Representations May Detect Distribution Shift—0
A Novel Transfer Learning Method Utilizing Acoustic and Vibration Signals for Rotating Machinery Fault Diagnosis—0
The Less the Merrier? Investigating Language Representation in Multilingual Models—0
Diagnosis-oriented Medical Image Compression with Efficient Transfer Learning—0
Using Human-like Mechanism to Weaken Effect of Pre-training Weight Bias in Face-Recognition Convolutional Neural Network—0
Are Structural Concepts Universal in Transformer Language Models? Towards Interpretable Cross-Lingual GeneralizationCode0
Bayesian Meta-Learning for Improving Generalizability of Health Prediction Models With Similar Causal MechanismsCode0
Towards Anytime Fine-tuning: Continually Pre-trained Language Models with Hypernetwork PromptCode0
Streamlining Brain Tumor Classification with Custom Transfer Learning in MRI Images—0
Unsupervised Representation Learning to Aid Semi-Supervised Meta LearningCode0
Representation Learning via Consistent Assignment of Views over Random PartitionsCode0
Prototype-based HyperAdapter for Sample-Efficient Multi-task TuningCode0
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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