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 2901–2950 of 10307 papers

TitleStatusHype
MISSRec: Pre-training and Transferring Multi-modal Interest-aware Sequence Representation for RecommendationCode1
Knowledge-Aware Prompt Tuning for Generalizable Vision-Language Models—0
FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated LearningCode1
Diffusion Model as Representation LearnerCode1
Ear-Keeper: Real-time Diagnosis of Ear Lesions Utilizing Ultralight-Ultrafast ConvNet and Large-scale Ear Endoscopic Dataset—0
Rethinking Transfer and Auxiliary Learning for Improving Audio Captioning Transformer—0
Large Transformers are Better EEG LearnersCode0
VLN-PETL: Parameter-Efficient Transfer Learning for Vision-and-Language NavigationCode0
Omnidirectional Information Gathering for Knowledge Transfer-based Audio-Visual Navigation—0
ExpeL: LLM Agents Are Experiential LearnersCode2
Towards a High-Performance Object Detector: Insights from Drone Detection Using ViT and CNN-based Deep Learning Models—0
Knowledge Transfer from High-Resource to Low-Resource Programming Languages for Code LLMs—0
Prototypical Cross-domain Knowledge Transfer for Cervical Dysplasia Visual Inspection—0
Dual Branch Deep Learning Network for Detection and Stage Grading of Diabetic Retinopathy—0
Disposable Transfer Learning for Selective Source Task Unlearning—0
Eva-KELLM: A New Benchmark for Evaluating Knowledge Editing of LLMs—0
Deformable-Detection Transformer for Microbubble Localization in Ultrasound Localization Microscopy—0
Time Series Predictions in Unmonitored Sites: A Survey of Machine Learning Techniques in Water Resources—0
A review of technical factors to consider when designing neural networks for semantic segmentation of Earth Observation imagery—0
Bridged-GNN: Knowledge Bridge Learning for Effective Knowledge Transfer—0
Multi-Task Pseudo-Label Learning for Non-Intrusive Speech Quality Assessment Model—0
On the Effectiveness of LayerNorm Tuning for Continual Learning in Vision TransformersCode0
Improving Buoy Detection with Deep Transfer Learning for Mussel Farm Automation—0
SimDA: Simple Diffusion Adapter for Efficient Video Generation—0
Multi-fidelity Fourier Neural Operator for Fast Modeling of Large-Scale Geological Carbon StorageCode0
Knowledge-inspired Subdomain Adaptation for Cross-Domain Knowledge Transfer—0
STEM: Unleashing the Power of Embeddings for Multi-task RecommendationCode1
Sarcasm Detection in a Disaster ContextCode0
PEvoLM: Protein Sequence Evolutionary Information Language ModelCode1
S2R: Exploring a Double-Win Transformer-Based Framework for Ideal and Blind Super-ResolutionCode0
KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification—0
Leveraging Codebook Knowledge with NLI and ChatGPT for Zero-Shot Political Relation ClassificationCode0
Exploring Transfer Learning in Medical Image Segmentation using Vision-Language ModelsCode1
SEMI-CenterNet: A Machine Learning Facilitated Approach for Semiconductor Defect Inspection—0
Interaction-Aware Personalized Vehicle Trajectory Prediction Using Temporal Graph Neural Networks—0
The Performance of Transferability Metrics does not Translate to Medical TasksCode0
Contrastive Bi-Projector for Unsupervised Domain AdaptionCode0
Tissue Segmentation of Thick-Slice Fetal Brain MR Scans with Guidance from High-Quality Isotropic Volumes—0
Optimizing Brain Tumor Classification: A Comprehensive Study on Transfer Learning and Imbalance Handling in Deep Learning ModelsCode0
A Sequential Meta-Transfer (SMT) Learning to Combat Complexities of Physics-Informed Neural Networks: Application to Composites Autoclave ProcessingCode0
Smart Knowledge Transfer using Google-like Search—0
SLoRA: Federated Parameter Efficient Fine-Tuning of Language Models—0
Monitoring of Urban Changes with multi-modal Sentinel 1 and 2 Data in Mariupol, Ukraine, in 2022/23Code0
Classification of All Blood Cell Images using ML and DL Models—0
Tweet Sentiment Extraction using Viterbi Algorithm with Transfer LearningCode0
CyberForce: A Federated Reinforcement Learning Framework for Malware Mitigation—0
Fast and Accurate Transferability Measurement by Evaluating Intra-class Feature Variance—0
Addressing Data Scarcity in Optical Matrix Multiplier Modeling Using Transfer Learning—0
Multi-domain Recommendation with Embedding Disentangling and Domain AlignmentCode1
Spatio-Temporal Encoding of Brain Dynamics with Surface Masked AutoencodersCode1
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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