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 2101–2150 of 10307 papers

TitleStatusHype
BLIP-Adapter: Parameter-Efficient Transfer Learning for Mobile Screenshot CaptioningCode0
Blending-target Domain Adaptation by Adversarial Meta-Adaptation NetworksCode0
Graph Distillation for Action Detection with Privileged ModalitiesCode0
Graph Few-shot Learning via Knowledge TransferCode0
Black-box Safety Analysis and Retraining of DNNs based on Feature Extraction and ClusteringCode0
Graph-based Knowledge Distillation by Multi-head Attention NetworkCode0
GraphBridge: Towards Arbitrary Transfer Learning in GNNsCode0
Graph Constrained Data Representation Learning for Human Motion SegmentationCode0
Group-level Emotion Recognition using Transfer Learning from Face IdentificationCode0
Bird Species Classification using Transfer Learning with Multistage TrainingCode0
A New Dataset for Topic-Based Paragraph Classification in Genocide-Related Court TranscriptsCode0
GPT-3 Models are Poor Few-Shot Learners in the Biomedical DomainCode0
Grad2Task: Improved Few-shot Text Classification Using Gradients for Task RepresentationCode0
A BERT-Based Transfer Learning Approach for Hate Speech Detection in Online Social MediaCode0
Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot TranslationCode0
Google Vizier: A Service for Black-Box OptimizationCode0
Gotta Learn Fast: A New Benchmark for Generalization in RLCode0
An Evolutionary Approach to Dynamic Introduction of Tasks in Large-scale Multitask Learning SystemsCode0
Biologically Plausible Training Mechanisms for Self-Supervised Learning in Deep NetworksCode0
Going Extreme: Comparative Analysis of Hate Speech in Parler and GabCode0
GLoMo: Unsupervisedly Learned Relational Graphs as Transferable RepresentationsCode0
A Comprehensive Understanding of Code-mixed Language Semantics using Hierarchical TransformerCode0
BioADAPT-MRC: Adversarial Learning-based Domain Adaptation Improves Biomedical Machine Reading Comprehension TaskCode0
GKT: A Novel Guidance-Based Knowledge Transfer Framework For Efficient Cloud-edge Collaboration LLM DeploymentCode0
Getting aligned on representational alignmentCode0
GERNERMED++: Transfer Learning in German Medical NLPCode0
GIST at SemEval-2018 Task 12: A network transferring inference knowledge to Argument Reasoning Comprehension taskCode0
Bilingual Alignment Pre-Training for Zero-Shot Cross-Lingual TransferCode0
Geographical Distance Is The New Hyperparameter: A Case Study Of Finding The Optimal Pre-trained Language For English-isiZulu Machine TranslationCode0
Geostatistical Learning: Challenges and OpportunitiesCode0
Generative Transfer Learning: Covid-19 Classification with a few Chest X-ray ImagesCode0
A Deep Learning Method for Comparing Bayesian Hierarchical ModelsCode0
GenSF: Simultaneous Adaptation of Generative Pre-trained Models and Slot FillingCode0
Bilateral Personalized Dialogue Generation with Contrastive LearningCode0
A Neural Grammatical Error Correction System Built On Better Pre-training and Sequential Transfer LearningCode0
GenTL: A General Transfer Learning Model for Building Thermal DynamicsCode0
Generative Denoise Distillation: Simple Stochastic Noises Induce Efficient Knowledge Transfer for Dense PredictionCode0
Generative Causal Representation Learning for Out-of-Distribution Motion ForecastingCode0
Generating Gameplay-Relevant Art Assets with Transfer LearningCode0
Generating Thermal Human Faces for Physiological Assessment Using Thermal Sensor Auxiliary LabelsCode0
Global Safe Sequential Learning via Efficient Knowledge TransferCode0
Generalizing Few-Shot Named Entity Recognizers to Unseen Domains with Type-Related FeaturesCode0
Generalizing over Long Tail Concepts for Medical Term NormalizationCode0
Generalized Funnelling: Ensemble Learning and Heterogeneous Document Embeddings for Cross-Lingual Text ClassificationCode0
Generalizing Teacher Networks for Effective Knowledge Distillation Across Student ArchitecturesCode0
Generalization Through The Lens Of Leave-One-Out ErrorCode0
Generalizable Local Feature Pre-training for Deformable Shape AnalysisCode0
Generalized Adaptive Transfer Network: Enhancing Transfer Learning in Reinforcement Learning Across DomainsCode0
Generalized Block-Diagonal Structure Pursuit: Learning Soft Latent Task Assignment against Negative TransferCode0
General-Purpose Deep Point Cloud Feature ExtractorCode0
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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