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 2451–2500 of 10307 papers

TitleStatusHype
Self-Driving Car Racing: Application of Deep Reinforcement Learning—0
Towards Neural-Network-based optical temperature sensing of Semiconductor Membrane External Cavity Laser—0
Advancing Efficient Brain Tumor Multi-Class Classification -- New Insights from the Vision Mamba Model in Transfer Learning—0
A Big Data-empowered System for Real-time Detection of Regional Discriminatory Comments on Vietnamese Social Media—0
The PV-ALE Dataset: Enhancing Apple Leaf Disease Classification Through Transfer Learning with Convolutional Neural Networks—0
Multi-modal Speech Emotion Recognition via Feature Distribution Adaptation NetworkCode0
Yoga Pose Classification Using Transfer Learning—0
Not All Languages are Equal: Insights into Multilingual Retrieval-Augmented GenerationCode0
Breast Cancer Histopathology Classification using CBAM-EfficientNetV2 with Transfer Learning—0
Efficient and Effective Weight-Ensembling Mixture of Experts for Multi-Task Model Merging—0
Collaborative Knowledge Fusion: A Novel Approach for Multi-task Recommender Systems via LLMs—0
Breccia and basalt classification of thin sections of Apollo rocks with deep learningCode0
Adaptive Transfer Clustering: A Unified FrameworkCode0
KANsformer for Scalable Beamforming—0
Uncovering Capabilities of Model Pruning in Graph Contrastive Learning—0
Causal Modeling in Multi-Context Systems: Distinguishing Multiple Context-Specific Causal Graphs which Account for Observational Support—0
Leveraging Auxiliary Task Relevance for Enhanced Bearing Fault Diagnosis through Curriculum Meta-learning—0
Sensor2Text: Enabling Natural Language Interactions for Daily Activity Tracking Using Wearable Sensors—0
Detection-Guided Deep Learning-Based Model with Spatial Regularization for Lung Nodule Segmentation—0
Pseudo-Label Enhanced Prototypical Contrastive Learning for Uniformed Intent DiscoveryCode0
Learning the Regularization Strength for Deep Fine-Tuning via a Data-Emphasized Variational ObjectiveCode0
A Review of Deep Learning Approaches for Non-Invasive Cognitive Impairment Detection—0
Layer by Layer: Uncovering Where Multi-Task Learning Happens in Instruction-Tuned Large Language Models—0
Gene-Metabolite Association Prediction with Interactive Knowledge Transfer Enhanced Graph for Metabolite Production—0
Transferring Knowledge from High-Quality to Low-Quality MRI for Adult Glioma Diagnosis—0
Deep learning for model correction of dynamical systems with data scarcity—0
New Insight in Cervical Cancer Diagnosis Using Convolution Neural Network Architecture—0
Development of CNN Architectures using Transfer Learning Methods for Medical Image Classification—0
Understanding Transfer Learning via Mean-field Analysis—0
EnvBridge: Bridging Diverse Environments with Cross-Environment Knowledge Transfer for Embodied AI—0
Enhancing Two-Player Performance Through Single-Player Knowledge Transfer: An Empirical Study on Atari 2600 GamesCode0
Towards Optimal Adapter Placement for Efficient Transfer Learning—0
SSMT: Few-Shot Traffic Forecasting with Single Source Meta-Transfer—0
Enabling Asymmetric Knowledge Transfer in Multi-Task Learning with Self-Auxiliaries—0
KTCR: Improving Implicit Hate Detection with Knowledge Transfer driven Concept Refinement—0
FoMo: A Foundation Model for Mobile Traffic Forecasting with Diffusion Model—0
Improving 3D Medical Image Segmentation at Boundary Regions using Local Self-attention and Global Volume MixingCode0
Generalizable Prediction Model of Molten Salt Mixture Density with Chemistry-Informed Transfer Learning—0
Personalized Federated Learning with Adaptive Feature Aggregation and Knowledge Transfer—0
Water quality polluted by total suspended solids classified within an Artificial Neural Network approach—0
Less is More: Parameter-Efficient Selection of Intermediate Tasks for Transfer LearningCode0
Transfer Reinforcement Learning in Heterogeneous Action Spaces using Subgoal Mapping—0
Swiss Army Knife: Synergizing Biases in Knowledge from Vision Foundation Models for Multi-Task Learning—0
How Does Data Diversity Shape the Weight Landscape of Neural Networks?—0
Transfer Learning on Transformers for Building Energy Consumption Forecasting -- A Comparative Study—0
Explainable AI in Handwriting Detection for Dyslexia Using Transfer Learning—0
A novel approach towards the classification of Bone Fracture from Musculoskeletal Radiography images using Attention Based Transfer Learning—0
Effects of Soft-Domain Transfer and Named Entity Information on Deception Detection—0
CAKD: A Correlation-Aware Knowledge Distillation Framework Based on Decoupling Kullback-Leibler Divergence—0
IGOR: Image-GOal Representations are the Atomic Control Units for Foundation Models in Embodied AI—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