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 2151–2200 of 10307 papers

TitleStatusHype
Data-Efficient Information Extraction from Form-Like Documents—0
Data-Free Knowledge Transfer: A Survey—0
Data-selective Transfer Learning for Multi-Domain Speech Recognition—0
Deep 3D-Zoom Net: Unsupervised Learning of Photo-Realistic 3D-Zoom—0
Detection of Myocardial Infarction Based on Novel Deep Transfer Learning Methods for Urban Healthcare in Smart Cities—0
Canoe : A System for Collaborative Learning for Neural Nets—0
Data-Driven Knowledge Transfer in Batch Q^* Learning—0
Can Multisensory Cues in VR Help Train Pattern Recognition to Citizen Scientists?—0
A Novel Deep Learning Method for Textual Sentiment Analysis—0
Advancing Diagnostic Precision: Leveraging Machine Learning Techniques for Accurate Detection of Covid-19, Pneumonia, and Tuberculosis in Chest X-Ray Images—0
Data-Driven Outage Restoration Time Prediction via Transfer Learning with Cluster Ensembles—0
Can Meta-Interpretive Learning outperform Deep Reinforcement Learning of Evaluable Game strategies?—0
Can Machine Translation Bridge Multilingual Pretraining and Cross-lingual Transfer Learning?—0
A novel database of Children's Spontaneous Facial Expressions (LIRIS-CSE)—0
A Novel Channel Boosted Residual CNN-Transformer with Regional-Boundary Learning for Breast Cancer Detection—0
A Cross-City Federated Transfer Learning Framework: A Case Study on Urban Region Profiling—0
Data-driven super-parameterization using deep learning: Experimentation with multi-scale Lorenz 96 systems and transfer-learning—0
Can LLMs Grade Short-Answer Reading Comprehension Questions : An Empirical Study with a Novel Dataset—0
Cancer Registry Information Extraction via Transfer Learning—0
A novel approach towards the classification of Bone Fracture from Musculoskeletal Radiography images using Attention Based Transfer Learning—0
Improving Cancer Hallmark Classification with BERT-based Deep Learning Approach—0
Can bidirectional encoder become the ultimate winner for downstream applications of foundation models?—0
An Intensity and Phase Stacked Analysis of Phase-OTDR System using Deep Transfer Learning and Recurrent Neural Networks—0
Advancing Automated Knowledge Transfer in Evolutionary Multitasking via Large Language Models—0
Can Attention-based Transformers Explain or Interpret Cyberbullying Detection?—0
A novel action recognition system for smart monitoring of elderly people using Action Pattern Image and Series CNN with transfer learning—0
Acquiring and Adapting Priors for Novel Tasks via Neural Meta-Architectures—0
Camouflaged Variational Graph AutoEncoder against Attribute Inference Attacks for Cross-Domain Recommendation—0
An Out-of-the-box Full-network Embedding for Convolutional Neural Networks—0
Abu-MaTran: Automatic building of Machine Translation—0
Data-driven inventory management for new products: An adjusted Dyna-Q approach with transfer learning—0
Data-driven tool wear prediction in milling, based on a process-integrated single-sensor approach—0
Camera On-boarding for Person Re-identification using Hypothesis Transfer Learning—0
CamemBERT-bio: Leveraging Continual Pre-training for Cost-Effective Models on French Biomedical Data—0
A Note on Estimation Error Bound and Grouping Effect of Transfer Elastic Net—0
Calliffusion: Chinese Calligraphy Generation and Style Transfer with Diffusion Modeling—0
CALLIC: Content Adaptive Learning for Lossless Image Compression—0
Advancing 3D Point Cloud Understanding through Deep Transfer Learning: A Comprehensive Survey—0
Acoustic Anomaly Detection for Machine Sounds based on Image Transfer Learning—0
An Optimization Framework for Differentially Private Sparse Fine-Tuning—0
Calibrated and Robust Foundation Models for Vision-Language and Medical Image Tasks Under Distribution Shift—0
An Optimal Online Method of Selecting Source Policies for Reinforcement Learning—0
Acoustic Signal Analysis with Deep Neural Network for Detecting Fault Diagnosis in Industrial Machines—0
Data-Driven Deep Learning Based Hybrid Beamforming for Aerial Massive MIMO-OFDM Systems with Implicit CSI—0
Calibrate and Prune: Improving Reliability of Lottery Tickets Through Prediction Calibration—0
CAKD: A Correlation-Aware Knowledge Distillation Framework Based on Decoupling Kullback-Leibler Divergence—0
Advances in Deep Learning for Hyperspectral Image Analysis--Addressing Challenges Arising in Practical Imaging Scenarios—0
CAE-DFKD: Bridging the Transferability Gap in Data-Free Knowledge Distillation—0
Recent Advancements in Machine Learning For Cybercrime Prediction—0
Data-Centric AI in the Age of Large Language Models—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