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 1651–1700 of 10307 papers

TitleStatusHype
A Flexible Selection Scheme for Minimum-Effort Transfer Learning—0
Active Transfer Learning Network: A Unified Deep Joint Spectral-Spatial Feature Learning Model For Hyperspectral Image Classification—0
A Review of Automated Diagnosis of COVID-19 Based on Scanning Images—0
A Review of Artificial Intelligence Technologies for Early Prediction of Alzheimer's Disease—0
A first step towards automated species recognition from camera trap images of mammals using AI in a European temperate forest—0
A Reusable AI-Enabled Defect Detection System for Railway Using Ensembled CNN—0
Active Transfer Learning for Persian Offline Signature Verification—0
Conditional computation in neural networks: principles and research trends—0
Affordance Labeling and Exploration: A Manifold-Based Approach—0
Robust Evolutionary Multi-Objective Network Architecture Search for Reinforcement Learning (EMNAS-RL)—0
A resource-efficient method for repeated HPO and NAS problems—0
Conditional Bures Metric for Domain Adaptation—0
Conditional Data Synthesis Augmentation—0
A relic sketch extraction framework based on detail-aware hierarchical deep network—0
Affect inTweets: A Transfer Learning Approach—0
Acceleration of Grokking in Learning Arithmetic Operations via Kolmogorov-Arnold Representation—0
AffecThor at SemEval-2018 Task 1: A cross-linguistic approach to sentiment intensity quantification in tweets—0
Neuronal and structural differentiation in the emergence of abstract rules in hierarchically modulated spiking neural networks—0
Active shooter detection and robust tracking utilizing supplemental synthetic data—0
Condensed Sample-Guided Model Inversion for Knowledge Distillation—0
A Recurrent Neural Network Approach to the Answering Machine Detection Problem—0
A Real Use Case of Semi-Supervised Learning for Mammogram Classification in a Local Clinic of Costa Rica—0
AFFAKT: A Hierarchical Optimal Transport based Method for Affective Facial Knowledge Transfer in Video Deception Detection—0
Active Sentiment Domain Adaptation—0
Conditional Adapters: Parameter-efficient Transfer Learning with Fast Inference—0
Conditional Electrocardiogram Generation Using Hierarchical Variational Autoencoders—0
Confidence Aware Neural Networks for Skin Cancer Detection—0
Arabic Text Diacritization In The Age Of Transfer Learning: Token Classification Is All You Need—0
A Feature Transfer Enabled Multi-Task Deep Learning Model on Medical Imaging—0
A Feature Extraction based Model for Hate Speech Identification—0
Active Semi-supervised Transfer Learning (ASTL) for Offline BCI Calibration—0
Covariate-Elaborated Robust Partial Information Transfer with Conditional Spike-and-Slab Prior—0
A Question Answering Based Pipeline for Comprehensive Chinese EHR Information Extraction—0
A QUBO Framework for Team Formation—0
Active Reinforcement Learning -- A Roadmap Towards Curious Classifier Systems for Self-Adaptation—0
A Quantum Neural Network Transfer-Learning Model for Forecasting Problems with Continuous and Discrete Variables—0
A fast general thermal simulation model based on MultiBranch Physics-Informed deep operator neural network—0
Accelerating Multi-Model Inference by Merging DNNs of Different Weights—0
CON: Continual Object Navigation via Data-Free Inter-Agent Knowledge Transfer in Unseen and Unfamiliar Places—0
Active Multitask Learning with Committees—0
Aerodynamic and structural airfoil shape optimisation via Transfer Learning-enhanced Deep Reinforcement Learning—0
Transfer Learning for Mixed-Integer Resource Allocation Problems in Wireless Networks—0
A Proper Orthogonal Decomposition approach for parameters reduction of Single Shot Detector networks—0
A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT—0
A Dynamic Graph CNN with Cross-Representation Distillation for Event-Based Recognition—0
A Progressive Transformer for Unifying Binary Code Embedding and Knowledge Transfer—0
A probabilistic constrained clustering for transfer learning and image category discovery—0
Active Multitask Learning with Committees—0
Conceptual Expansion Neural Architecture Search (CENAS)—0
Concrete Surface Crack Detection with Convolutional-based Deep Learning Models—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