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 6951–7000 of 10307 papers

TitleStatusHype
Imponderous Net for Facial Expression Recognition in the Wild—0
Deep Ensemble Collaborative Learning by using Knowledge-transfer Graph for Fine-grained Object Classification—0
When Few-Shot Learning Meets Video Object Detection—0
Multi-source Transfer Learning with Ensemble for Financial Time Series Forecasting—0
Jointly Modeling Heterogeneous Student Behaviors and Interactions Among Multiple Prediction Tasks—0
Spirit Distillation: Precise Real-time Semantic Segmentation of Road Scenes with Insufficient Data—0
SMILE: Self-Distilled MIxup for Efficient Transfer LEarning—0
GridDehazeNet+: An Enhanced Multi-Scale Network with Intra-Task Knowledge Transfer for Single Image Dehazing—0
Active Multitask Learning with Committees—0
Factors of Influence for Transfer Learning across Diverse Appearance Domains and Task Types—0
Learning Scene Structure Guidance via Cross-Task Knowledge Transfer for Single Depth Super-Resolution—0
ESCORT: Ethereum Smart COntRacTs Vulnerability Detection using Deep Neural Network and Transfer Learning—0
EPRNet: Efficient Pyramid Representation Network for Real-Time Street Scene SegmentationCode0
Fisher Task Distance and Its Application in Neural Architecture SearchCode0
Student Network Learning via Evolutionary Knowledge Distillation—0
The NLP Cookbook: Modern Recipes for Transformer based Deep Learning Architectures—0
Channel Scaling: A Scale-and-Select Approach for Transfer Learning—0
Predicting brain-age from raw T 1 -weighted Magnetic Resonance Imaging data using 3D Convolutional Neural NetworksCode0
Transfer Learning with Ensembles of Deep Neural Networks for Skin Cancer Detection in Imbalanced Data Sets—0
A Modular and Unified Framework for Detecting and Localizing Video Anomalies—0
Visualization of Deep Transfer Learning In SAR Imagery—0
Transfer learning for automatic brain tumor classification Using MRI Images.—0
SoK: A Modularized Approach to Study the Security of Automatic Speech Recognition SystemsCode0
Cognitive simulation models for inertial confinement fusion: Combining simulation and experimental data—0
ThanosNet: A Novel Trash Classification Method Using MetadataCode0
A first step towards automated species recognition from camera trap images of mammals using AI in a European temperate forest—0
Domain Generalization using Ensemble Learning—0
Constructive and Toxic Speech Detection for Open-domain Social Media Comments in Vietnamese—0
Deep Learning-based Extreme Heatwave Forecast—0
Towards Few-Shot Fact-Checking via Perplexity—0
Generation of Realistic Cloud Access Times for Mobile Application Testing using Transfer Learning—0
Distance Metric-Based Learning with Interpolated Latent Features for Location Classification in Endoscopy Image and Video—0
Improving Generalization of Transfer Learning Across Domains Using Spatio-Temporal Features in Autonomous Driving—0
Online Learning with Radial Basis Function Networks—0
Transfer Learning for Automated Test Case Prioritization Using XCSFCode0
Unsupervised Transfer Learning in Multilingual Neural Machine Translation with Cross-Lingual Word Embeddings—0
Does the Magic of BERT Apply to Medical Code Assignment? A Quantitative Study—0
Model-Agnostic Meta-Learning for EEG Motor Imagery Decoding in Brain-Computer-Interfacing—0
Energy Decay Network (EDeN)—0
Best of Both Worlds: Robust Accented Speech Recognition with Adversarial Transfer Learning—0
Inter-subject Deep Transfer Learning for Motor Imagery EEG Decoding—0
Revisiting Model's Uncertainty and Confidences for Adversarial Example DetectionCode0
The Common Intuition to Transfer Learning Can Win or Lose: Case Studies for Linear Regression—0
Uncertainty-aware Incremental Learning for Multi-organ Segmentation—0
Deep Transfer Learning for WiFi Localization—0
AfriVEC: Word Embedding Models for African Languages. Case Study of Fon and NobiinCode0
A Taxonomy of Similarity Metrics for Markov Decision Processes—0
Deep Transfer Learning for Infectious Disease Case Detection Using Electronic Medical Records—0
The Effect of Q-function Reuse on the Total Regret of Tabular, Model-Free, Reinforcement Learning—0
Multitasking Deep Learning Model for Detection of Five Stages of Diabetic Retinopathy—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