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 1551–1600 of 10307 papers

TitleStatusHype
Depth F_1: Improving Evaluation of Cross-Domain Text Classification by Measuring Semantic GeneralizabilityCode0
Semi-supervised Regression Analysis with Model Misspecification and High-dimensional Data—0
Learning to Transfer for Evolutionary Multitasking—0
Data-Centric AI in the Age of Large Language Models—0
Multi-modal Transfer Learning between Biological Foundation Models—0
Generalization error of min-norm interpolators in transfer learning—0
Robust Few-shot Transfer Learning for Knowledge Base Question Answering with Unanswerable Questions—0
Information Guided Regularization for Fine-tuning Language ModelsCode0
Probabilistic Deep Learning and Transfer Learning for Robust Cryptocurrency Price PredictionCode0
Modeling & Evaluating the Performance of Convolutional Neural Networks for Classifying Steel Surface Defects—0
Neuro-symbolic Training for Reasoning over Spatial LanguageCode0
Towards Trustworthy Unsupervised Domain Adaptation: A Representation Learning Perspective for Enhancing Robustness, Discrimination, and Generalization—0
WONDERBREAD: A Benchmark for Evaluating Multimodal Foundation Models on Business Process Management TasksCode1
CNN Based Flank Predictor for Quadruped Animal Species—0
Robust Melanoma Thickness Prediction via Deep Transfer Learning enhanced by XAI Techniques—0
Machine Learning Based Prediction of Proton Conductivity in Metal-Organic Frameworks—0
Causal Discovery Inspired Unsupervised Domain Adaptation for Emotion-Cause Pair Extraction—0
Skin Cancer Images Classification using Transfer Learning Techniques—0
Latent Intuitive Physics: Learning to Transfer Hidden Physics from A 3D Video—0
Depth Anywhere: Enhancing 360 Monocular Depth Estimation via Perspective Distillation and Unlabeled Data Augmentation—0
BIOSCAN-5M: A Multimodal Dataset for Insect BiodiversityCode1
Online-Adaptive Anomaly Detection for Defect Identification in Aircraft Assembly—0
Automated MRI Quality Assessment of Brain T1-weighted MRI in Clinical Data Warehouses: A Transfer Learning Approach Relying on Artefact SimulationCode2
The Wisdom of a Crowd of Brains: A Universal Brain Encoder—0
Spatial Sequence Attention Network for Schizophrenia Classification from Structural Brain MR Images—0
On Giant's Shoulders: Effortless Weak to Strong by Dynamic Logits Fusion—0
Self-Distillation Prototypes Network: Learning Robust Speaker Representations without Supervision—0
UniGLM: Training One Unified Language Model for Text-Attributed Graph EmbeddingCode1
Large Scale Transfer Learning for Tabular Data via Language ModelingCode2
Faces of Experimental Pain: Transferability of Deep Learned Heat Pain Features to Electrical Pain—0
Self-Regulated Data-Free Knowledge Amalgamation for Text Classification—0
Federated Learning Optimization: A Comparative Study of Data and Model Exchange Strategies in Dynamic Networks—0
Knowledge Distillation in Federated Learning: a Survey on Long Lasting Challenges and New Solutions—0
A-I-RAVEN and I-RAVEN-Mesh: Two New Benchmarks for Abstract Visual Reasoning—0
DP-MemArc: Differential Privacy Transfer Learning for Memory Efficient Language Models—0
Leveraging Foundation Models for Multi-modal Federated Learning with Incomplete Modality—0
ShareLoRA: Parameter Efficient and Robust Large Language Model Fine-tuning via Shared Low-Rank AdaptationCode0
Physics-Informed Deep Learning and Partial Transfer Learning for Bearing Fault Diagnosis in the Presence of Highly Missing Data—0
A Unified View of Abstract Visual Reasoning Problems—0
On the Effectiveness of Supervision in Asymmetric Non-Contrastive LearningCode0
ExPLoRA: Parameter-Efficient Extended Pre-Training to Adapt Vision Transformers under Domain Shifts—0
A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges—0
Augmenting Biomedical Named Entity Recognition with General-domain ResourcesCode0
ADSNet: Cross-Domain LTV Prediction with an Adaptive Siamese Network in Advertising—0
Self-Supervised Representation Learning with Spatial-Temporal Consistency for Sign Language RecognitionCode1
Deep Learning Models to Automate the Scoring of Hand Radiographs for Rheumatoid Arthritis—0
Comparison of fine-tuning strategies for transfer learning in medical image classification—0
Industrial Language-Image Dataset (ILID): Adapting Vision Foundation Models for Industrial SettingsCode1
RASPNet: A Benchmark Dataset for Radar Adaptive Signal Processing Applications—0
UniBridge: A Unified Approach to Cross-Lingual Transfer Learning for Low-Resource LanguagesCode0
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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