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

Showing 10011050 of 10307 papers

TitleStatusHype
BioNCERE: Non-Contrastive Enhancement For Relation Extraction In Biomedical Texts0
Attention is All You Need to Optimize Wind Farm Operations and Maintenance0
Rethinking Inverse Reinforcement Learning: from Data Alignment to Task AlignmentCode0
Mind the Gap: A Generalized Approach for Cross-Modal Embedding Alignment0
Domain-decomposed image classification algorithms using linear discriminant analysis and convolutional neural networks0
Self-Driving Car Racing: Application of Deep Reinforcement Learning0
Don't Just Pay Attention, PLANT It: Transfer L2R Models to Fine-tune Attention in Extreme Multi-Label Text Classification0
Sequential Order-Robust Mamba for Time Series ForecastingCode0
Nested ResNet: A Vision-Based Method for Detecting the Sensing Area of a Drop-in Gamma Probe0
Transfer Learning in Vocal Education: Technical Evaluation of Limited Samples Describing Mezzo-soprano0
MutaPLM: Protein Language Modeling for Mutation Explanation and EngineeringCode4
A Big Data-empowered System for Real-time Detection of Regional Discriminatory Comments on Vietnamese Social Media0
Yoga Pose Classification Using Transfer Learning0
Towards Neural-Network-based optical temperature sensing of Semiconductor Membrane External Cavity Laser0
Breast Cancer Histopathology Classification using CBAM-EfficientNetV2 with Transfer Learning0
The PV-ALE Dataset: Enhancing Apple Leaf Disease Classification Through Transfer Learning with Convolutional Neural Networks0
Efficient and Effective Weight-Ensembling Mixture of Experts for Multi-Task Model Merging0
Advancing Efficient Brain Tumor Multi-Class Classification -- New Insights from the Vision Mamba Model in Transfer Learning0
Not All Languages are Equal: Insights into Multilingual Retrieval-Augmented GenerationCode0
Multi-modal Speech Emotion Recognition via Feature Distribution Adaptation NetworkCode0
KANsformer for Scalable Beamforming0
Collaborative Knowledge Fusion: A Novel Approach for Multi-task Recommender Systems via LLMs0
Breccia and basalt classification of thin sections of Apollo rocks with deep learningCode0
Adaptive Transfer Clustering: A Unified FrameworkCode0
Leveraging Auxiliary Task Relevance for Enhanced Bearing Fault Diagnosis through Curriculum Meta-learning0
Causal Modeling in Multi-Context Systems: Distinguishing Multiple Context-Specific Causal Graphs which Account for Observational Support0
Uncovering Capabilities of Model Pruning in Graph Contrastive Learning0
Detection-Guided Deep Learning-Based Model with Spatial Regularization for Lung Nodule Segmentation0
Sensor2Text: Enabling Natural Language Interactions for Daily Activity Tracking Using Wearable Sensors0
Pseudo-Label Enhanced Prototypical Contrastive Learning for Uniformed Intent DiscoveryCode0
Layer by Layer: Uncovering Where Multi-Task Learning Happens in Instruction-Tuned Large Language Models0
A Review of Deep Learning Approaches for Non-Invasive Cognitive Impairment Detection0
Learning the Regularization Strength for Deep Fine-Tuning via a Data-Emphasized Variational ObjectiveCode0
Transferring Knowledge from High-Quality to Low-Quality MRI for Adult Glioma Diagnosis0
Gene-Metabolite Association Prediction with Interactive Knowledge Transfer Enhanced Graph for Metabolite Production0
Deep learning for model correction of dynamical systems with data scarcity0
New Insight in Cervical Cancer Diagnosis Using Convolution Neural Network Architecture0
Enhancing Two-Player Performance Through Single-Player Knowledge Transfer: An Empirical Study on Atari 2600 GamesCode0
EnvBridge: Bridging Diverse Environments with Cross-Environment Knowledge Transfer for Embodied AI0
Development of CNN Architectures using Transfer Learning Methods for Medical Image Classification0
Understanding Transfer Learning via Mean-field Analysis0
SSMT: Few-Shot Traffic Forecasting with Single Source Meta-Transfer0
Enabling Asymmetric Knowledge Transfer in Multi-Task Learning with Self-Auxiliaries0
Towards Optimal Adapter Placement for Efficient Transfer Learning0
KTCR: Improving Implicit Hate Detection with Knowledge Transfer driven Concept Refinement0
Improving 3D Medical Image Segmentation at Boundary Regions using Local Self-attention and Global Volume MixingCode0
FoMo: A Foundation Model for Mobile Traffic Forecasting with Diffusion Model0
Generalizable Prediction Model of Molten Salt Mixture Density with Chemistry-Informed Transfer Learning0
Less is More: Parameter-Efficient Selection of Intermediate Tasks for Transfer LearningCode0
Water quality polluted by total suspended solids classified within an Artificial Neural Network approach0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1APCLIPAccuracy84.2Unverified
2DFA-ENTAccuracy69.2Unverified
3DFA-SAFNAccuracy69.1Unverified
4EasyTLAccuracy63.3Unverified
5MEDAAccuracy60.3Unverified
#ModelMetricClaimedVerifiedStatus
1CNN10-20% Mask PSNR3.23Unverified
#ModelMetricClaimedVerifiedStatus
1Chatterjee, Dutta et al.[1]Accuracy96.12Unverified
#ModelMetricClaimedVerifiedStatus
1Co-TuningAccuracy85.65Unverified
#ModelMetricClaimedVerifiedStatus
1Physical AccessEER5.74Unverified
#ModelMetricClaimedVerifiedStatus
1riadd.aucmediAUROC0.95Unverified