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 2151–2200 of 10307 papers

TitleStatusHype
Grad2Task: Improved Few-shot Text Classification Using Gradients for Task RepresentationCode0
Gotta Learn Fast: A New Benchmark for Generalization in RLCode0
Graph Few-shot Learning via Knowledge TransferCode0
Going Extreme: Comparative Analysis of Hate Speech in Parler and GabCode0
Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot TranslationCode0
Beyond Shared Vocabulary: Increasing Representational Word Similarities across Languages for Multilingual Machine TranslationCode0
Google Vizier: A Service for Black-Box OptimizationCode0
HOLMES: HOLonym-MEronym based Semantic inspection for Convolutional Image ClassifiersCode0
GKT: A Novel Guidance-Based Knowledge Transfer Framework For Efficient Cloud-edge Collaboration LLM DeploymentCode0
Getting aligned on representational alignmentCode0
Beyond Labels: Empowering Human Annotators with Natural Language Explanations through a Novel Active-Learning ArchitectureCode0
GIST at SemEval-2018 Task 12: A network transferring inference knowledge to Argument Reasoning Comprehension taskCode0
Beyond Knowledge Silos: Task Fingerprinting for Democratization of Medical Imaging AICode0
Learning representations that are closed-form Monge mapping optimal with application to domain adaptationCode0
Geostatistical Learning: Challenges and OpportunitiesCode0
GERNERMED++: Transfer Learning in German Medical NLPCode0
Global Safe Sequential Learning via Efficient Knowledge TransferCode0
GenSF: Simultaneous Adaptation of Generative Pre-trained Models and Slot FillingCode0
GenTL: A General Transfer Learning Model for Building Thermal DynamicsCode0
Beyond English: Evaluating Automated Measurement of Moral Foundations in Non-English Discourse with a Chinese Case StudyCode0
Generative Transfer Learning: Covid-19 Classification with a few Chest X-ray ImagesCode0
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
ABC-Former: Auxiliary Bimodal Cross-domain Transformer with Interactive Channel Attention for White BalanceCode0
Generating Thermal Human Faces for Physiological Assessment Using Thermal Sensor Auxiliary LabelsCode0
Geographical Distance Is The New Hyperparameter: A Case Study Of Finding The Optimal Pre-trained Language For English-isiZulu Machine TranslationCode0
Glo-In-One-v2: Holistic Identification of Glomerular Cells, Tissues, and Lesions in Human and Mouse HistopathologyCode0
Generalizing Few-Shot Named Entity Recognizers to Unseen Domains with Type-Related FeaturesCode0
Generalizing over Long Tail Concepts for Medical Term NormalizationCode0
Best Practices for Large-Scale, Pixel-Wise Crop Mapping and Transfer Learning WorkflowsCode0
Best of Both Worlds: Transferring Knowledge from Discriminative Learning to a Generative Visual Dialog ModelCode0
Generalized Funnelling: Ensemble Learning and Heterogeneous Document Embeddings for Cross-Lingual Text ClassificationCode0
Generalizing Teacher Networks for Effective Knowledge Distillation Across Student ArchitecturesCode0
Generalized Block-Diagonal Structure Pursuit: Learning Soft Latent Task Assignment against Negative TransferCode0
Generalization Through The Lens Of Leave-One-Out ErrorCode0
BERT WEAVER: Using WEight AVERaging to enable lifelong learning for transformer-based models in biomedical semantic search enginesCode0
Generalized Adaptive Transfer Network: Enhancing Transfer Learning in Reinforcement Learning Across DomainsCode0
General-Purpose Deep Point Cloud Feature ExtractorCode0
BERT is Not an Interlingua and the Bias of TokenizationCode0
BERT for Sentiment Analysis: Pre-trained and Fine-Tuned AlternativesCode0
BERT-Based Approach for Automating Course Articulation Matrix Construction with Explainable AICode0
Gated Domain Units for Multi-source Domain GeneralizationCode0
BertaQA: How Much Do Language Models Know About Local Culture?Code0
Synergistic Learning with Multi-Task DeepONet for Efficient PDE Problem SolvingCode0
Context selectivity with dynamic availability enables lifelong continual learningCode0
Generalizable Local Feature Pre-training for Deformable Shape AnalysisCode0
General solutions for nonlinear differential equations: a rule-based self-learning approach using deep reinforcement learningCode0
GLoMo: Unsupervisedly Learned Relational Graphs as Transferable RepresentationsCode0
Bengali Handwritten Character Classification using Transfer Learning on Deep Convolutional Neural NetworkCode0
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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