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 7301–7350 of 10307 papers

TitleStatusHype
Model-Contrastive Federated Domain Adaptation—0
Model Diffusion for Certifiable Few-shot Transfer Learning—0
Model Distillation with Knowledge Transfer from Face Classification to Alignment and Verification—0
Model-Driven Beamforming Neural Networks—0
Model ensemble instead of prompt fusion: a sample-specific knowledge transfer method for few-shot prompt tuning—0
Model Evaluation for Domain Identification of Unknown Classes in Open-World Recognition: A Proposal—0
Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2—0
Modeling & Evaluating the Performance of Convolutional Neural Networks for Classifying Steel Surface Defects—0
Modeling Information Flow Through Deep Neural Networks—0
Unleashing the Power of Shared Label Structures for Human Activity Recognition—0
Modeling Social Norms Evolution for Personalized Sentiment Classification—0
Model Inversion Attack against Transfer Learning: Inverting a Model without Accessing It—0
Model Inversion Robustness: Can Transfer Learning Help?—0
Modelling Domain Relationships for Transfer Learning on Retrieval-based Question Answering Systems in E-commerce—0
Modelling the Neuroanatomical Progression of Alzheimer's Disease and Posterior Cortical Atrophy—0
Model Parallel Training and Transfer Learning for Convolutional Neural Networks by Domain Decomposition—0
Model-Robust and Adaptive-Optimal Transfer Learning for Tackling Concept Shifts in Nonparametric Regression—0
Out of Thin Air: Exploring Data-Free Adversarial Robustness Distillation—0
Model Selection, Adaptation, and Combination for Transfer Learning in Wind and Photovoltaic Power Forecasts—0
Model Selection for Cross-Lingual Transfer using a Learned Scoring Function—0
Model Transport: Towards Scalable Transfer Learning on Manifolds—0
Model Tuning or Prompt Tuning? A Study of Large Language Models for Clinical Concept and Relation Extraction—0
Modular Approach to Machine Reading Comprehension: Mixture of Task-Aware Experts—0
Modular Deep Learning—0
Modularity in biological evolution and evolutionary computation—0
Modularized data-driven approximation of the Koopman operator and generator—0
Modularized Transfer Learning with Multiple Knowledge Graphs for Zero-shot Commonsense Reasoning—0
Modularized Transfer Learning with Multiple Knowledge Graphs for Zero-shot Commonsense Reasoning—0
Modular network for high accuracy object detection—0
Modular Transfer Learning with Transition Mismatch Compensation for Excessive Disturbance Rejection—0
MoE-CT: A Novel Approach For Large Language Models Training With Resistance To Catastrophic Forgetting—0
MO-EMT-NAS: Multi-Objective Continuous Transfer of Architectural Knowledge Between Tasks from Different Datasets—0
MoFE: Mixture of Frozen Experts Architecture—0
MoKD: Multi-Task Optimization for Knowledge Distillation—0
Molecular Subtype Prediction for Breast Cancer Using H&E Specialized Backbone—0
MOMA:Distill from Self-Supervised Teachers—0
MomentsNeRF: Leveraging Orthogonal Moments for Few-Shot Neural Rendering—0
Monaural speech enhancement on drone via Adapter based transfer learning—0
Monitoring crop phenology with street-level imagery using computer vision—0
Monkey Transfer Learning Can Improve Human Pose Estimation—0
Mono2Stereo: Monocular Knowledge Transfer for Enhanced Stereo Matching—0
Monocular 3D Human Pose Estimation In The Wild Using Improved CNN Supervision—0
Monolingual and Cross-Lingual Knowledge Transfer for Topic Classification—0
MorisienMT: A Dataset for Mauritian Creole Machine Translation—0
Morpheo: Traceable Machine Learning on Hidden data—0
Motion-Augmented Self-Training for Video Recognition at Smaller Scale—0
Motion Blur removal via Coupled Autoencoder—0
Motion-Guided Masking for Spatiotemporal Representation Learning—0
Mouth Articulation-Based Anchoring for Improved Cross-Corpus Speech Emotion Recognition—0
Moving from Cross-Project Defect Prediction to Heterogeneous Defect Prediction: A Partial Replication Study—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