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 2251–2300 of 10307 papers

TitleStatusHype
Geostatistical Learning: Challenges and OpportunitiesCode0
BatStyler: Advancing Multi-category Style Generation for Source-free Domain GeneralizationCode0
Geographical Distance Is The New Hyperparameter: A Case Study Of Finding The Optimal Pre-trained Language For English-isiZulu Machine TranslationCode0
BatSort: Enhanced Battery Classification with Transfer Learning for Battery Sorting and RecyclingCode0
GenTL: A General Transfer Learning Model for Building Thermal DynamicsCode0
GKT: A Novel Guidance-Based Knowledge Transfer Framework For Efficient Cloud-edge Collaboration LLM DeploymentCode0
Generative Denoise Distillation: Simple Stochastic Noises Induce Efficient Knowledge Transfer for Dense PredictionCode0
An Attention-based Representation Distillation Baseline for Multi-Label Continual LearningCode0
Addressee and Response Selection for Multilingual ConversationCode0
BanglaNLP at BLP-2023 Task 2: Benchmarking different Transformer Models for Sentiment Analysis of Bangla Social Media PostsCode0
Anatomy of Neural Language ModelsCode0
Generating Thermal Human Faces for Physiological Assessment Using Thermal Sensor Auxiliary LabelsCode0
Anatomy-Aware Contrastive Representation Learning for Fetal UltrasoundCode0
Generating Gameplay-Relevant Art Assets with Transfer LearningCode0
Generative Causal Representation Learning for Out-of-Distribution Motion ForecastingCode0
Generative Transfer Learning: Covid-19 Classification with a few Chest X-ray ImagesCode0
Generalizing over Long Tail Concepts for Medical Term NormalizationCode0
Generalizing Teacher Networks for Effective Knowledge Distillation Across Student ArchitecturesCode0
Generalized Funnelling: Ensemble Learning and Heterogeneous Document Embeddings for Cross-Lingual Text ClassificationCode0
Generalizing Few-Shot Named Entity Recognizers to Unseen Domains with Type-Related FeaturesCode0
General-Purpose Deep Point Cloud Feature ExtractorCode0
Generalized Block-Diagonal Structure Pursuit: Learning Soft Latent Task Assignment against Negative TransferCode0
Generalized Adaptive Transfer Network: Enhancing Transfer Learning in Reinforcement Learning Across DomainsCode0
Balanced joint maximum mean discrepancy for deep transfer learningCode0
Unsupervised Representation Learning by Balanced Self Attention MatchingCode0
Generalization Through The Lens Of Leave-One-Out ErrorCode0
General solutions for nonlinear differential equations: a rule-based self-learning approach using deep reinforcement learningCode0
GenSF: Simultaneous Adaptation of Generative Pre-trained Models and Slot FillingCode0
Gated Domain Units for Multi-source Domain GeneralizationCode0
Context selectivity with dynamic availability enables lifelong continual learningCode0
GAN Cocktail: mixing GANs without dataset accessCode0
An Analysis of the Influence of Transfer Learning When Measuring the Tortuosity of Blood VesselsCode0
GAN pretraining for deep convolutional autoencoders applied to Software-based Fingerprint Presentation Attack DetectionCode0
ADD: Frequency Attention and Multi-View based Knowledge Distillation to Detect Low-Quality Compressed Deepfake ImagesCode0
Gammatonegram Representation for End-to-End Dysarthric Speech Processing Tasks: Speech Recognition, Speaker Identification, and Intelligibility AssessmentCode0
GANTL: Towards Practical and Real-Time Topology Optimization with Conditional GANs and Transfer LearningCode0
Funnelling: A New Ensemble Method for Heterogeneous Transfer Learning and its Application to Cross-Lingual Text ClassificationCode0
FUSE-ing Language Models: Zero-Shot Adapter Discovery for Prompt Optimization Across TokenizersCode0
FuCiTNet: Improving the generalization of deep learning networks by the fusion of learned class-inherent transformationsCode0
Functional Knowledge Transfer with Self-supervised Representation LearningCode0
FUSE: Label-Free Image-Event Joint Monocular Depth Estimation via Frequency-Decoupled Alignment and Degradation-Robust FusionCode0
FTA-FTL: A Fine-Tuned Aggregation Federated Transfer Learning Scheme for Lithology Microscopic Image ClassificationCode0
Entity Tracking via Effective Use of Multi-Task Learning Model and Mention-guided DecodingCode0
FTL: Transfer Learning Nonlinear Plasma Dynamic Transitions in Low Dimensional Embeddings via Deep Neural NetworksCode0
Fuzzy Rank-based Fusion of CNN Models using Gompertz Function for Screening COVID-19 CT-ScansCode0
A Web-based Mpox Skin Lesion Detection System Using State-of-the-art Deep Learning Models Considering Racial DiversityCode0
A Wander Through the Multimodal Landscape: Efficient Transfer Learning via Low-rank Sequence Multimodal AdapterCode0
AdaTriplet-RA: Domain Matching via Adaptive Triplet and Reinforced Attention for Unsupervised Domain AdaptationCode0
From Patch to Image Segmentation using Fully Convolutional Networks -- Application to Retinal ImagesCode0
From Video Game to Real Robot: The Transfer between Action SpacesCode0
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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