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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 5151–5200 of 10307 papers

TitleStatusHype
Transfer-Learning Across Datasets with Different Input Dimensions: An Algorithm and Analysis for the Linear Regression CaseCode0
Transferred Q-learning—0
A Neural Network based Framework for Effective Laparoscopic Video Quality AssessmentCode0
Deep Feature Rotation for Multimodal Image Style Transfer—0
Multi-stage RGB-based Transfer Learning Pipeline for Hand Activity Recognition—0
Methods for the frugal labeler: Multi-class semantic segmentation on heterogeneous labelsCode0
Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across CitiesCode1
EvoPruneDeepTL: An Evolutionary Pruning Model for Transfer Learning based Deep Neural NetworksCode0
Self-supervised Contrastive Learning for Cross-domain Hyperspectral Image Representation—0
Transferable Student Performance Modeling for Intelligent Tutoring Systems—0
Fine-Tuning Approach for Arabic Offensive Language Detection System: BERT-Based Model—0
Simple Control Baselines for Evaluating Transfer Learning—0
Maximizing Audio Event Detection Model Performance on Small Datasets Through Knowledge Transfer, Data Augmentation, And Pretraining: An Ablation Study—0
Addressing modern and practical challenges in machine learning: A survey of online federated and transfer learning—0
TRGP: Trust Region Gradient Projection for Continual LearningCode1
Universal Spam Detection using Transfer Learning of BERT Model—0
Zero Experience Required: Plug & Play Modular Transfer Learning for Semantic Visual Navigation—0
Transfer Reinforcement Learning for Differing Action Spaces via Q-Network RepresentationsCode1
TIML: Task-Informed Meta-Learning for AgricultureCode1
Source data selection for out-of-domain generalization—0
Multi-Stage Deep Transfer Learning for EmIoT-enabled Human-Computer Interaction—0
A Unified Training Process for Fake News Detection based on Fine-Tuned BERT Model—0
Transfer in Reinforcement Learning via Regret Bounds for Learning Agents—0
Auto-Transfer: Learning to Route Transferrable RepresentationsCode0
Identifying Suitable Tasks for Inductive Transfer Through the Analysis of Feature Attributions—0
Detecting Privacy Requirements from User Stories with NLP Transfer Learning Models—0
Team Cogitat at NeurIPS 2021: Benchmarks for EEG Transfer Learning Competition—0
Investigating Transfer Learning in Graph Neural Networks—0
Classification of Skin Cancer Images using Convolutional Neural Networks—0
Minority Class Oriented Active Learning for Imbalanced Datasets—0
BEA-Base: A Benchmark for ASR of Spontaneous Hungarian—0
Deep Reference Priors: What is the best way to pretrain a model?Code0
Image-based eeg classification of brain responses to song recordingsCode0
Deconfounded Representation Similarity for Comparison of Neural NetworksCode1
Bi-Directional Semi-Supervised Training of Convolutional Neural Networks for Ultrasound Elastography Displacement Estimation—0
Adversarial Masking for Self-Supervised LearningCode1
Deep Learning MacroeconomicsCode0
Few-Shot Transfer Learning for Device-Free Fingerprinting Indoor LocalizationCode1
Transfer Learning for Estimation of Pendubot Angular Position Using Deep Neural Networks—0
UofA-Truth at Factify 2022 : Transformer And Transfer Learning Based Multi-Modal Fact-Checking—0
Automatic Audio Captioning using Attention weighted Event based Embeddings—0
Cause-Effect Preservation and Classification using Neurochaos Learning—0
Shuffle Augmentation of Features from Unlabeled Data for Unsupervised Domain Adaptation—0
Transfer Learning In Differential Privacy's Hybrid-Model—0
Systematic Investigation of Strategies Tailored for Low-Resource Settings for Low-Resource Dependency ParsingCode0
Going Extreme: Comparative Analysis of Hate Speech in Parler and GabCode0
A Transfer Learning and Optimized CNN Based Intrusion Detection System for Internet of VehiclesCode2
A Survey on Visual Transfer Learning using Knowledge Graphs—0
IGLUE: A Benchmark for Transfer Learning across Modalities, Tasks, and LanguagesCode1
Few-shot Transfer Learning for Holographic Image Reconstruction using a Recurrent Neural Network—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