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 1801–1850 of 10307 papers

TitleStatusHype
A Practitioners' Guide to Transfer Learning for Text Classification using Convolutional Neural NetworksCode0
How transfer learning is used in generative models for image classification: improved accuracyCode0
Intrinsically Motivated Open-Ended Multi-Task Learning Using Transfer Learning to Discover Task HierarchyCode0
Causality Pursuit from Heterogeneous Environments via Neural Adversarial Invariance LearningCode0
Inverse Design of Potential Singlet Fission Molecules using a Transfer Learning Based ApproachCode0
Classification of Quasars, Galaxies, and Stars in the Mapping of the Universe Multi-modal Deep LearningCode0
How to tackle an emerging topic? Combining strong and weak labels for Covid news NERCode0
How to Train a CAT: Learning Canonical Appearance Transformations for Direct Visual Localization Under Illumination ChangeCode0
How Language-Neutral is Multilingual BERT?Code0
Investigating Transferability in Pretrained Language ModelsCode0
Classifying Textual Data with Pre-trained Vision Models through Transfer Learning and Data TransformationsCode0
How should we evaluate supervised hashing?Code0
How good are variational autoencoders at transfer learning?Code0
How to evaluate word embeddings? On importance of data efficiency and simple supervised tasksCode0
How Well Do Vision Transformers (VTs) Transfer To The Non-Natural Image Domain? An Empirical Study Involving Art ClassificationCode0
Human-Inspired Framework to Accelerate Reinforcement LearningCode0
Identifying the Limits of Cross-Domain Knowledge Transfer for Pretrained ModelsCode0
CaT: Weakly Supervised Object Detection with Category TransferCode0
HOLMES: HOLonym-MEronym based Semantic inspection for Convolutional Image ClassifiersCode0
Cats or CAT scans: transfer learning from natural or medical image source datasets?Code0
Cats, not CAT scans: a study of dataset similarity in transfer learning for 2D medical image classificationCode0
Homogeneous Online Transfer Learning with Online Distribution Discrepancy MinimizationCode0
Histopathologic Cancer DetectionCode0
HistoKT: Cross Knowledge Transfer in Computational PathologyCode0
Historical Document Image Segmentation with LDA-Initialized Deep Neural NetworksCode0
Advancing Transformer's Capabilities in Commonsense ReasoningCode0
Catastrophic Forgetting Meets Negative Transfer: Batch Spectral Shrinkage for Safe Transfer LearningCode0
Histogram-based Parameter-efficient Tuning for Passive Sonar ClassificationCode0
HIT: A Hierarchically Fused Deep Attention Network for Robust Code-mixed Language RepresentationCode0
Hostility Detection in Hindi leveraging Pre-Trained Language ModelsCode0
Hindi/Bengali Sentiment Analysis Using Transfer Learning and Joint Dual Input Learning with Self AttentionCode0
Hi-gMISnet: generalized medical image segmentation using DWT based multilayer fusion and dual mode attention into high resolution pGANCode0
HintNet: Hierarchical Knowledge Transfer Networks for Traffic Accident Forecasting on Heterogeneous Spatio-Temporal DataCode0
Cascading Adaptors to Leverage English Data to Improve Performance of Question Answering for Low-Resource LanguagesCode0
Hierarchical transfer learning with applications for electricity load forecastingCode0
CLIP-based Synergistic Knowledge Transfer for Text-based Person RetrievalCode0
CARTL: Cooperative Adversarially-Robust Transfer LearningCode0
Hierarchical Topology Isomorphism Expertise Embedded Graph Contrastive LearningCode0
HOUDINI: Lifelong Learning as Program SynthesisCode0
CARL-D: A vision benchmark suite and large scale dataset for vehicle detection and scene segmentationCode0
Advancing Multilingual Handwritten Numeral Recognition with Attention-driven Transfer LearningCode0
Cardiac MRI Orientation Recognition and Standardization using Deep Neural NetworksCode0
Heterogeneous Transfer Learning for Building High-Dimensional Generalized Linear Models with Disparate DatasetsCode0
Knowledge transfer across cell lines using Hybrid Gaussian Process models with entity embedding vectorsCode0
Capturing Pertinent Symbolic Features for Enhanced Content-Based Misinformation DetectionCode0
CL-NERIL: A Cross-Lingual Model for NER in Indian LanguagesCode0
Heterogeneous Treatment Effect with Trained Kernels of the Nadaraya-Watson RegressionCode0
Heuristical Comparison of Vision Transformers Against Convolutional Neural Networks for Semantic Segmentation on Remote Sensing ImageryCode0
Arabic Dialect Identification Using BERT Fine-TuningCode0
HierarchicalContrast: A Coarse-to-Fine Contrastive Learning Framework for Cross-Domain Zero-Shot Slot FillingCode0
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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