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 8751–8800 of 10307 papers

TitleStatusHype
Classification of Astronomical Bodies by Efficient Layer Fine-Tuning of Deep Neural NetworksCode0
On the Use of External Data for Spoken Named Entity RecognitionCode0
Self-supervised learning for analysis of temporal and morphological drug effects in cancer cell imaging dataCode0
Functional Knowledge Transfer with Self-supervised Representation LearningCode0
An LSTM Feature Imitation Network for Hand Movement Recognition from sEMG SignalsCode0
Fed-CO2: Cooperation of Online and Offline Models for Severe Data Heterogeneity in Federated LearningCode0
Temporal Relations of Informative Frames in Action RecognitionCode0
Deep Reinforcement Learning: An OverviewCode0
On TinyML and Cybersecurity: Electric Vehicle Charging Infrastructure Use CaseCode0
Reducing Down(stream)time: Pretraining Molecular GNNs using Heterogeneous AI AcceleratorsCode0
OmniXAS: A Universal Deep-Learning Framework for Materials X-ray Absorption SpectraCode0
Funnelling: A New Ensemble Method for Heterogeneous Transfer Learning and its Application to Cross-Lingual Text ClassificationCode0
Claim Extraction in Biomedical Publications using Deep Discourse Model and Transfer LearningCode0
A Framework for Supervised Heterogeneous Transfer Learning using Dynamic Distribution Adaptation and Manifold RegularizationCode0
FUSE-ing Language Models: Zero-Shot Adapter Discovery for Prompt Optimization Across TokenizersCode0
FUSE: Label-Free Image-Event Joint Monocular Depth Estimation via Frequency-Decoupled Alignment and Degradation-Robust FusionCode0
Fuzzy Rank-based Fusion of CNN Models using Gompertz Function for Screening COVID-19 CT-ScansCode0
Solo or Ensemble? Choosing a CNN Architecture for Melanoma ClassificationCode0
A Brief Review of Hypernetworks in Deep LearningCode0
An Embarrassingly Simple Approach for Knowledge DistillationCode0
On Transfer Learning For Chatter Detection in Turning Using Wavelet Packet Transform and Empirical Mode DecompositionCode0
Action Priors for Large Action Spaces in RoboticsCode0
Machine learning method for single trajectory characterizationCode0
Machine Learning Methods for Track Classification in the AT-TPCCode0
Self-supervised learning for skin cancer diagnosis with limited training dataCode0
Gammatonegram Representation for End-to-End Dysarthric Speech Processing Tasks: Speech Recognition, Speaker Identification, and Intelligibility AssessmentCode0
GAN Cocktail: mixing GANs without dataset accessCode0
GAN pretraining for deep convolutional autoencoders applied to Software-based Fingerprint Presentation Attack DetectionCode0
GANTL: Towards Practical and Real-Time Topology Optimization with Conditional GANs and Transfer LearningCode0
AniWho : A Quick and Accurate Way to Classify Anime Character Faces in ImagesCode0
RefHCM: A Unified Model for Referring Perceptions in Human-Centric ScenariosCode0
An Iterative Multi-Knowledge Transfer Network for Aspect-Based Sentiment AnalysisCode0
Oolong: Investigating What Makes Transfer Learning Hard with Controlled StudiesCode0
Gated Domain Units for Multi-source Domain GeneralizationCode0
Deep Reference Priors: What is the best way to pretrain a model?Code0
Subspace Constraint and Contribution Estimation for Heterogeneous Federated LearningCode0
Context selectivity with dynamic availability enables lifelong continual learningCode0
A Set of Distinct Facial Traits Learned by Machines Is Not Predictive of Appearance Bias in the WildCode0
A Framework for Few-Shot Policy Transfer through Observation Mapping and Behavior CloningCode0
CL3: A Collaborative Learning Framework for the Medical Data Ensuring Data Privacy in the Hyperconnected EnvironmentCode0
Open Continual Feature Selection via Granular-Ball Knowledge TransferCode0
CIZSL++: Creativity Inspired Generative Zero-Shot LearningCode0
Machine UnlearningCode0
Macsen: A Voice Assistant for Speakers of a Lesser Resourced LanguageCode0
Self-supervised learning via inter-modal reconstruction and feature projection networks for label-efficient 3D-to-2D segmentationCode0
Multi-modal Speech Emotion Recognition via Feature Distribution Adaptation NetworkCode0
Feature-Based Transfer Learning for Network SecurityCode0
FBK-DH at SemEval-2020 Task 12: Using Multi-channel BERT for Multilingual Offensive Language DetectionCode0
A Unified Neural Architecture for Instrumental Audio TasksCode0
Open Relation Extraction: Relational Knowledge Transfer from Supervised Data to Unsupervised DataCode0
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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