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 3851–3900 of 10307 papers

TitleStatusHype
TOPLight: Lightweight Neural Networks With Task-Oriented Pretraining for Visible-Infrared Recognition—0
Unleashing the Power of Shared Label Structures for Human Activity Recognition—0
Second Thoughts are Best: Learning to Re-Align With Human Values from Text Edits—0
Chest X-Ray Images Classification with CNNCode0
MERLIN: Multi-agent offline and transfer learning for occupant-centric energy flexible operation of grid-interactive communities using smart meter data and CityLearn—0
Towards Proactively Forecasting Sentence-Specific Information Popularity within Online News DocumentsCode0
Source-Free Unsupervised Domain Adaptation: A Survey—0
DRG-Net: Interactive Joint Learning of Multi-lesion Segmentation and Classification for Diabetic Retinopathy Grading—0
Domain-specific transfer learning in the automated scoring of tumor-stroma ratio from histopathological images of colorectal cancer—0
Industrial Scene Change Detection using Deep Convolutional Neural Networks—0
StyleTTS-VC: One-Shot Voice Conversion by Knowledge Transfer from Style-Based TTS ModelsCode1
Breaking the Architecture Barrier: A Method for Efficient Knowledge Transfer Across Networks—0
CT-LungNet: A Deep Learning Framework for Precise Lung Tissue Segmentation in 3D Thoracic CT Scans—0
Swin MAE: Masked Autoencoders for Small DatasetsCode1
Knowledge-Guided Data-Centric AI in Healthcare: Progress, Shortcomings, and Future Directions—0
BD-KD: Balancing the Divergences for Online Knowledge Distillation—0
HandsOff: Labeled Dataset Generation With No Additional Human Annotations—0
Avicenna: a challenge dataset for natural language generation toward commonsense syllogistic reasoningCode0
Generalization Bounds for Few-Shot Transfer Learning with Pretrained Classifiers—0
Understanding and Improving Transfer Learning of Deep Models via Neural Collapse—0
ProgNet: A Transferable Deep Network for Aircraft Engine Damage Propagation Prognosis under Real Flight ConditionsCode0
Federated Learning -- Methods, Applications and beyond—0
Spike encoding techniques for IoT time-varying signals benchmarked on a neuromorphic classification taskCode0
Object detection-based inspection of power line insulators: Incipient fault detection in the low data-regime—0
MultiInstruct: Improving Multi-Modal Zero-Shot Learning via Instruction TuningCode1
Contrastive Distillation Is a Sample-Efficient Self-Supervised Loss Policy for Transfer Learning—0
A Framework of Customer Review Analysis Using the Aspect-Based Opinion Mining Approach—0
Using Machine Learning to Determine Morphologies of z<1 AGN Host Galaxies in the Hyper Suprime-Cam Wide SurveyCode0
An Information-Theoretic Approach to Transferability in Task Transfer Learning—0
On the Role of Parallel Data in Cross-lingual Transfer Learning—0
HyperBO+: Pre-training a universal prior for Bayesian optimization with hierarchical Gaussian processesCode0
Improving the Generalizability of Text-Based Emotion Detection by Leveraging Transformers with Psycholinguistic Features—0
Memory-efficient NLLB-200: Language-specific Expert Pruning of a Massively Multilingual Machine Translation Model—0
Building Height Prediction with Instance Segmentation—0
Boosting Automatic COVID-19 Detection Performance with Self-Supervised Learning and Batch Knowledge Ensembling—0
Leveraging Road Area Semantic Segmentation with Auxiliary Steering Task—0
COVID-19 Detection Based on Self-Supervised Transfer Learning Using Chest X-Ray Images—0
Graph Neural Network based Child Activity Recognition—0
PoE: a Panel of Experts for Generalized Automatic Dialogue Assessment—0
An Evolutionary Multitasking Algorithm with Multiple Filtering for High-Dimensional Feature SelectionCode1
Toward cross-subject and cross-session generalization in EEG-based emotion recognition: Systematic review, taxonomy, and methods—0
Rethinking Cooking State Recognition with Vision TransformersCode0
Penalised regression with multiple sources of prior effectsCode0
Swing Distillation: A Privacy-Preserving Knowledge Distillation Framework—0
Plansformer: Generating Symbolic Plans using Transformers—0
Toward Improved Generalization: Meta Transfer of Self-supervised Knowledge on Graphs—0
Non-IID Transfer Learning on GraphsCode1
Silhouette: Toward Performance-Conscious and Transferable CPU Embeddings—0
Colab NAS: Obtaining lightweight task-specific convolutional neural networks following Occam's razorCode0
A New Deep Boosted CNN and Ensemble Learning based IoT Malware Detection—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