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 3551–3600 of 10307 papers

TitleStatusHype
Neural Population Learning beyond Symmetric Zero-sum Games—0
Enhancing Blood Flow Assessment in Diffuse Correlation Spectroscopy: A Transfer Learning Approach with Noise Robustness Analysis—0
Source-Free Cross-Modal Knowledge Transfer by Unleashing the Potential of Task-Irrelevant Data—0
VI-PANN: Harnessing Transfer Learning and Uncertainty-Aware Variational Inference for Improved Generalization in Audio Pattern RecognitionCode0
Consensus Focus for Object Detection and minority classesCode0
Arabic Text Diacritization In The Age Of Transfer Learning: Token Classification Is All You Need—0
Low-Resource Vision Challenges for Foundation Models—0
Logits Poisoning Attack in Federated Distillation—0
Anatomy of Neural Language ModelsCode0
Attention-Guided Erasing: A Novel Augmentation Method for Enhancing Downstream Breast Density Classification—0
Few-Shot Causal Representation Learning for Out-of-Distribution Generalization on Heterogeneous Graphs—0
CoT-Driven Framework for Short Text Classification: Enhancing and Transferring Capabilities from Large to Smaller Model—0
Efficient Bitrate Ladder Construction using Transfer Learning and Spatio-Temporal FeaturesCode0
GTA: Guided Transfer of Spatial Attention from Object-Centric Representations—0
Offline Handwriting Signature Verification: A Transfer Learning and Feature Selection Approach—0
Nurse-in-the-Loop Artificial Intelligence for Precision Management of Type 2 Diabetes in a Clinical Trial Utilizing Transfer-Learned Predictive Digital Twin—0
Physics-Informed Neural Networks for High-Frequency and Multi-Scale Problems using Transfer Learning—0
Multi-Source Domain Adaptation with Transformer-based Feature Generation for Subject-Independent EEG-based Emotion Recognition—0
Graph Neural Networks for Surfactant Multi-Property PredictionCode0
The Power of Training: How Different Neural Network Setups Influence the Energy Demand—0
Towards Multi-Objective High-Dimensional Feature Selection via Evolutionary Multitasking—0
GBSS:a global building semantic segmentation dataset for large-scale remote sensing building extraction—0
CommonCanvas: Open Diffusion Models Trained on Creative-Commons Images—0
Enhanced Motion-Text Alignment for Image-to-Video Transfer Learning—0
Structured Model Probing: Empowering Efficient Transfer Learning by Structured Regularization—0
Evaluating Transferability in Retrieval Tasks: An Approach Using MMD and Kernel Methods—0
C2KD: Bridging the Modality Gap for Cross-Modal Knowledge Distillation—0
Unveiling the Unknown: Unleashing the Power of Unknown to Known in Open-Set Source-Free Domain AdaptationCode0
Discriminative Pattern Calibration Mechanism for Source-Free Domain Adaptation—0
Exploring Region-Word Alignment in Built-in Detector for Open-Vocabulary Object Detection—0
Scene-adaptive and Region-aware Multi-modal Prompt for Open Vocabulary Object Detection—0
Self-supervised learning for skin cancer diagnosis with limited training dataCode0
Semantics Distortion and Style Matter: Towards Source-free UDA for Panoramic Segmentation—0
Cross-Dimension Affinity Distillation for 3D EM Neuron SegmentationCode0
Balanced Multi-modal Federated Learning via Cross-Modal Infiltration—0
FedLED: Label-Free Equipment Fault Diagnosis with Vertical Federated Transfer Learning—0
OmniDialog: An Omnipotent Pre-training Model for Task-Oriented Dialogue System—0
Multimodal Sentiment Analysis with Missing Modality: A Knowledge-Transfer Approach—0
An Integrated Imitation and Reinforcement Learning Methodology for Robust Agile Aircraft Control with Limited Pilot Demonstration Data—0
Transfer and Alignment Network for Generalized Category DiscoveryCode0
GRSDet: Learning to Generate Local Reverse Samples for Few-shot Object Detection—0
Recursive Distillation for Open-Set Distributed Robot Localization—0
Knowledge Guided Semi-Supervised Learning for Quality Assessment of User Generated VideosCode0
On the Benefits of Public Representations for Private Transfer Learning under Distribution Shift—0
Are you sure it’s an artifact? Artifact detection and uncertainty quantification in histological imagesCode0
Bayesian Inverse Transfer in Evolutionary Multiobjective OptimizationCode0
FM-OV3D: Foundation Model-based Cross-modal Knowledge Blending for Open-Vocabulary 3D DetectionCode0
Efficient Discrete Physics-informed Neural Networks for Addressing Evolutionary Partial Differential Equations—0
Learning to Prompt Knowledge Transfer for Open-World Continual LearningCode0
Multimodal Attention Merging for Improved Speech Recognition and Audio Event Classification—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