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 3351–3400 of 10307 papers

TitleStatusHype
A Novel Method for Accurate & Real-time Food Classification: The Synergistic Integration of EfficientNetB7, CBAM, Transfer Learning, and Data Augmentation—0
Efficient Architecture Search for Continual Learning—0
Efficient Argument Structure Extraction with Transfer Learning and Active Learning—0
Efficient Audio Captioning Transformer with Patchout and Text Guidance—0
Evaluation and Comparison of Emotionally Evocative Image Augmentation Methods—0
Evaluation of Transfer Learning for Classification of: (1) Diabetic Retinopathy by Digital Fundus Photography and (2) Diabetic Macular Edema, Choroidal Neovascularization and Drusen by Optical Coherence Tomography—0
A Novel Method For Designing Transferable Soft Sensors And Its Application—0
Event-based Vision meets Deep Learning on Steering Prediction for Self-driving Cars—0
Evolutionary Dynamic Multi-objective Optimization Via Regression Transfer Learning—0
An adaptive human-in-the-loop approach to emission detection of Additive Manufacturing processes and active learning with computer vision—0
Deep Image Category Discovery using a Transferred Similarity Function—0
A Novel Neural Network Training Method for Autonomous Driving Using Semi-Pseudo-Labels and 3D Data Augmentations—0
Evaluating the Impact of Model Scale for Compositional Generalization in Semantic Parsing—0
Automatic lesion segmentation and Pathological Myopia classification in fundus images—0
A Novel Semi-supervised Meta Learning Method for Subject-transfer Brain-computer Interface—0
Efficient Deployment of Deep MIMO Detection Using Learngene—0
Evaluating the Cross-Lingual Effectiveness of Massively Multilingual Neural Machine Translation—0
Efficient Domain Adaptation for Speech Foundation Models—0
Case Study of Model Adaptation: Transfer Learning and Online Learning—0
Efficient Expansion and Gradient Based Task Inference for Replay Free Incremental Learning—0
Efficient Federated Class-Incremental Learning of Pre-Trained Models via Task-agnostic Low-rank Residual Adaptation—0
Evaluating the Performance of StyleGAN2-ADA on Medical Images—0
Automatic Labeling of Data for Transfer Learning—0
DeepGaze II: Reading fixations from deep features trained on object recognition—0
Efficient Graph Neural Architecture Search—0
Efficient Gravitational Wave Parameter Estimation via Knowledge Distillation: A ResNet1D-IAF Approach—0
Efficient Hardware Implementation of Incremental Learning and Inference on Chip—0
Efficient Integration of Multi-channel Information for Speaker-independent Speech Separation—0
Efficient keyword spotting using time delay neural networks—0
Adversarial Transfer Learning for Cross-domain Visual Recognition—0
Efficient Learning of Less Biased Models with Transfer Learning—0
Efficient Learning of Vehicle Controller Parameters via Multi-Fidelity Bayesian Optimization: From Simulation to Experiment—0
DeepGamble: Towards unlocking real-time player intelligence using multi-layer instance segmentation and attribute detection—0
A Novel Transfer Learning Method Utilizing Acoustic and Vibration Signals for Rotating Machinery Fault Diagnosis—0
On Transferability of Bias Mitigation Effects in Language Model Fine-Tuning—0
Efficiently Robustify Pre-trained Models—0
A Novel Transformer Network with Shifted Window Cross-Attention for Spatiotemporal Weather Forecasting—0
An Adaptive Approach for Anomaly Detector Selection and Fine-Tuning in Time Series—0
Breast Cancer Histopathology Classification using CBAM-EfficientNetV2 with Transfer Learning—0
Efficient Neural Machine Translation for Low-Resource Languages via Exploiting Related Languages—0
​4S-DT: Self Supervised Super Sample Decomposition for Transfer learning with application to COVID-19 detection—0
Evaluating the structure of cognitive tasks with transfer learning—0
Efficient Pairwise Learning Using Kernel Ridge Regression: an Exact Two-Step Method—0
Deep Feature Rotation for Multimodal Image Style Transfer—0
Convex Hull Prediction for Adaptive Video Streaming by Recurrent Learning—0
Efficient PINNs: Multi-Head Unimodular Regularization of the Solutions Space—0
Causal-Invariant Cross-Domain Out-of-Distribution Recommendation—0
Deep Feature Learning for Graphs—0
Efficient Task Transfer for HLS DSE—0
An Acceleration Method Based on Deep Learning and Multilinear Feature Space—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