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 3751–3800 of 10307 papers

TitleStatusHype
Experiments on transfer learning architectures for biomedical relation extraction—0
Experimental and causal view on information integration in autonomous agents—0
Experience Selection Using Dynamics Similarity for Efficient Multi-Source Transfer Learning Between Robots—0
Exploration in Knowledge Transfer Utilizing Reinforcement Learning—0
ClueGAIN: Application of Transfer Learning On Generative Adversarial Imputation Nets (GAIN)—0
Exploration of Dark Chemical Genomics Space via Portal Learning: Applied to Targeting the Undruggable Genome and COVID-19 Anti-Infective Polypharmacology—0
Exploration of Various Deep Learning Models for Increased Accuracy in Automatic Polyp Detection—0
Explorative Curriculum Learning for Strongly Correlated Electron Systems—0
CLUE: Contextualised Unified Explainable Learning of User Engagement in Video Lectures—0
Active Sentiment Domain Adaptation—0
Exploring bat song syllable representations in self-supervised audio encoders—0
Exploring Benefits of Transfer Learning in Neural Machine Translation—0
Acceleration of Grokking in Learning Arithmetic Operations via Kolmogorov-Arnold Representation—0
Exploring CausalWorld: Enhancing robotic manipulation via knowledge transfer and curriculum learning—0
Exploring connections of spectral analysis and transfer learning in medical imaging—0
Exploring Cross-Lingual Transfer Learning with Unsupervised Machine Translation—0
Robust Evolutionary Multi-Objective Network Architecture Search for Reinforcement Learning (EMNAS-RL)—0
Temporal Transfer Learning for Traffic Optimization with Coarse-grained Advisory Autonomy—0
Experience Reuse with Probabilistic Movement Primitives—0
Expectation maximization transfer learning and its application for bionic hand prostheses—0
ExpandNets: Linear Over-parameterization to Train Compact Convolutional Networks—0
Exploring Fluent Query Reformulations with Text-to-Text Transformers and Reinforcement Learning—0
CloudRCA: A Root Cause Analysis Framework for Cloud Computing Platforms—0
Expanding Expressiveness of Diffusion Models with Limited Data via Self-Distillation based Fine-Tuning—0
Expanding Deep Learning-based Sensing Systems with Multi-Source Knowledge Transfer—0
Exploring Knowledge Transfer in Evolutionary Many-task Optimization: A Complex Network Perspective—0
CloudifierNet -- Deep Vision Models for Artificial Image Processing—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
Exploring Multi-Level Threats in Telegram Data with AI-Human Annotation: A Preliminary Study—0
ExoMiner++: Enhanced Transit Classification and a New Vetting Catalog for 2-Minute TESS Data—0
Exo2EgoDVC: Dense Video Captioning of Egocentric Procedural Activities Using Web Instructional Videos—0
EXIT: An EXplicit Interest Transfer Framework for Cross-Domain Recommendation—0
Exploring Named Entity Recognition As an Auxiliary Task for Slot Filling in Conversational Language Understanding—0
Close Yet Distinctive Domain Adaptation—0
Exploring Non-Verbal Predicates in Semantic Role Labeling: Challenges and Opportunities—0
Examining the behaviour of state-of-the-art convolutional neural networks for brain tumor detection with and without transfer learning—0
EvoSampling: A Granular Ball-based Evolutionary Hybrid Sampling with Knowledge Transfer for Imbalanced Learning—0
Exploring Pre-trained General-purpose Audio Representations for Heart Murmur Detection—0
A Feature Extraction based Model for Hate Speech Identification—0
Exploring Region-Word Alignment in Built-in Detector for Open-Vocabulary Object Detection—0
Active Semi-supervised Transfer Learning (ASTL) for Offline BCI Calibration—0
Evolving Image Compositions for Feature Representation Learning—0
Evolution of transfer learning in natural language processing—0
Evolution of ReID: From Early Methods to LLM Integration—0
Exploring Task Unification in Graph Representation Learning via Generative Approach—0
Evolutionary Multitasking with Solution Space Cutting for Point Cloud Registration—0
A Question Answering Based Pipeline for Comprehensive Chinese EHR Information Extraction—0
Evolutionary Gait Transfer of Multi-Legged Robots in Complex Terrains—0
Evolutionary Dynamic Multi-objective Optimization Via Regression Transfer Learning—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