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 1351–1375 of 10307 papers

TitleStatusHype
A Competition Winning Deep Reinforcement Learning Agent in microRTSCode1
A Visual Analytics Framework for Explaining and Diagnosing Transfer Learning ProcessesCode1
Generative Hierarchical Features from Synthesizing ImagesCode1
NineRec: A Benchmark Dataset Suite for Evaluating Transferable RecommendationCode1
AVocaDo: Strategy for Adapting Vocabulary to Downstream DomainCode1
Deep Recurrent Neural Networks for ECG Signal DenoisingCode1
Novel Class Discovery for Ultra-Fine-Grained Visual CategorizationCode1
Novel Scenes & Classes: Towards Adaptive Open-set Object DetectionCode1
Association Graph Learning for Multi-Task Classification with Category ShiftsCode1
Generalized Few-Shot Object Detection without ForgettingCode1
Generative Pre-Training for Speech with Autoregressive Predictive CodingCode1
Deep Subdomain Adaptation Network for Image ClassificationCode1
GLGE: A New General Language Generation Evaluation BenchmarkCode1
Deep Transfer Learning for Land Use and Land Cover Classification: A Comparative StudyCode1
Offensive language detection in Arabic using ULMFiTCode1
Deep transfer operator learning for partial differential equations under conditional shiftCode1
ASSET: Robust Backdoor Data Detection Across a Multiplicity of Deep Learning ParadigmsCode1
OmniJet-α: The first cross-task foundation model for particle physicsCode1
Gender Bias in Multilingual Embeddings and Cross-Lingual TransferCode1
Enhanced Gaussian Process Dynamical Models with Knowledge Transfer for Long-term Battery Degradation ForecastingCode1
BadMerging: Backdoor Attacks Against Model MergingCode1
DeezyMatch: A Flexible Deep Learning Approach to Fuzzy String MatchingCode1
Bag of Tricks for Image Classification with Convolutional Neural NetworksCode1
DeiT III: Revenge of the ViTCode1
GECTurk: Grammatical Error Correction and Detection Dataset for TurkishCode1
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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