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 2851–2900 of 10307 papers

TitleStatusHype
Alioth: A Machine Learning Based Interference-Aware Performance Monitor for Multi-Tenancy Applications in Public CloudCode0
DELTA: DEep Learning Transfer using Feature Map with Attention for Convolutional NetworksCode0
Fast Enhanced CT Metal Artifact Reduction using Data Domain Deep LearningCode0
Delta Schema Network in Model-based Reinforcement LearningCode0
Faster Reinforcement Learning Using Active SimulatorsCode0
Cross-Domain Self-supervised Multi-task Feature Learning using Synthetic ImageryCode0
Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained ModelCode0
Rethinking Task Sampling for Few-shot Vision-Language Transfer LearningCode0
Farewell Freebase: Migrating the SimpleQuestions Dataset to DBpediaCode0
fairseq S2T: Fast Speech-to-Text Modeling with fairseqCode0
3DLaneNAS: Neural Architecture Search for Accurate and Light-Weight 3D Lane DetectionCode0
E-Sort: Empowering End-to-end Neural Network for Multi-channel Spike Sorting with Transfer Learning and Fast Post-processingCode0
Fair Generative Models via Transfer LearningCode0
Modeling of Time-varying Wireless Communication Channel with Fading and ShadowingCode0
Cross-Domain NER using Cross-Domain Language ModelingCode0
Improving In-context Learning of Multilingual Generative Language Models with Cross-lingual AlignmentCode0
Facial Expression Recognition Under Partial Occlusion from Virtual Reality Headsets based on Transfer LearningCode0
Facial Emotion Recognition Under Mask Coverage Using a Data Augmentation TechniqueCode0
Benchmarking Representation Learning for Natural World Image CollectionsCode0
A Transfer Learning Approach for Dialogue Act Classification of GitHub Issue CommentsCode0
Facial Landmark Predictions with Applications to MetaverseCode0
Extreme Multi-Domain, Multi-Task Learning With Unified Text-to-Text Transfer TransformersCode0
Extracting temporal features into a spatial domain using autoencoders for sperm video analysisCode0
Extracting and Analysing Metaphors in Migration Media Discourse: towards a Metaphor Annotation SchemeCode0
Facial Beauty Analysis Using Distribution Prediction and CNN EnsemblesCode0
Facilitating the sharing of electrophysiology data analysis results through in-depth provenance captureCode0
A Transfer Learning and Explainable Solution to Detect mpox from Smartphones imagesCode0
Molecule Generation and Optimization for Efficient Fragrance CreationCode0
Exploring User Retrieval Integration towards Large Language Models for Cross-Domain Sequential RecommendationCode0
Cross-Domain Few-Shot Graph ClassificationCode0
Exploring the Robustness of Task-oriented Dialogue Systems for Colloquial German VarietiesCode0
Transformers on Multilingual Clause-Level MorphologyCode0
Speech foundation models in healthcare: Effect of layer selection on pathological speech feature predictionCode0
Extending LLMs to New Languages: A Case Study of Llama and Persian AdaptationCode0
BERT-Based Approach for Automating Course Articulation Matrix Construction with Explainable AICode0
Feature-Based Transfer Learning for Network SecurityCode0
Cross-Domain Conditional Diffusion Models for Time Series ImputationCode0
MR-based synthetic CT generation using a deep convolutional neural network methodCode0
Destruction of Image Steganography using Generative Adversarial NetworksCode0
Detached and Interactive Multimodal LearningCode0
A Transferable Multi-stage Model with Cycling Discrepancy Learning for Lithium-ion Battery State of Health EstimationCode0
Exploring the Benefits of Visual Prompting in Differential PrivacyCode0
Exploring the Effectiveness and Consistency of Task Selection in Intermediate-Task Transfer LearningCode0
Cross-domain and Cross-dimension Learning for Image-to-Graph TransformersCode0
Adapting Word Embeddings to New Languages with Morphological and Phonological Subword RepresentationsCode0
Exploring Target Representations for Masked AutoencodersCode0
Cross-dimensional transfer learning in medical image segmentation with deep learningCode0
MTG: A Benchmark Suite for Multilingual Text GenerationCode0
Leveraging Cross-Lingual Transfer Learning in Spoken Named Entity Recognition SystemsCode0
Exploring the Benefits of Differentially Private Pre-training and Parameter-Efficient Fine-tuning for Table TransformersCode0
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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