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 1151–1200 of 10307 papers

TitleStatusHype
WARP: Word-level Adversarial ReProgrammingCode1
TransNAS-Bench-101: Improving Transferrability and Generalizability of Cross-Task Neural Architecture SearchCode1
Training Convolutional Neural Networks With Hebbian Principal Component AnalysisCode1
Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-TuningCode1
Image Translation via Fine-grained Knowledge TransferCode1
Learning Cross-Domain Correspondence for Control with Dynamics Cycle-ConsistencyCode1
Computation-Efficient Knowledge Distillation via Uncertainty-Aware MixupCode1
FG-Net: Fast Large-Scale LiDAR Point Clouds Understanding Network Leveraging Correlated Feature Mining and Geometric-Aware ModellingCode1
Trex: Learning Execution Semantics from Micro-Traces for Binary SimilarityCode1
ISD: Self-Supervised Learning by Iterative Similarity DistillationCode1
Sim-to-real reinforcement learning applied to end-to-end vehicle controlCode1
Parameter-Efficient Transfer Learning with Diff PruningCode1
Extended Few-Shot Learning: Exploiting Existing Resources for Novel TasksCode1
CEM500K – A large-scale heterogeneous unlabeled cellular electron microscopy image dataset for deep learningCode1
Leveraging Transfer Learning for Reliable Intelligence Identification on Vietnamese SNSs (ReINTEL)Code1
Anomaly Detection in Time Series with Triadic Motif Fields and Application in Atrial Fibrillation ECG ClassificationCode1
Progressive Network Grafting for Few-Shot Knowledge DistillationCode1
Hyperspectral Classification Based on Lightweight 3-D-CNN With Transfer LearningCode1
Cross-Layer Distillation with Semantic CalibrationCode1
Learning to Adapt to Evolving DomainsCode1
Multi-level Knowledge Distillation via Knowledge Alignment and CorrelationCode1
Deep Graph Pose: a semi-supervised deep graphical model for improved animal pose trackingCode1
Co-Tuning for Transfer LearningCode1
Mixed Information Flow for Cross-domain Sequential RecommendationsCode1
Data-Free Model ExtractionCode1
What is a meaningful representation of protein sequences?Code1
Learning Relation Prototype from Unlabeled Texts for Long-tail Relation ExtractionCode1
Physics-Informed Neural Network for Modelling the Thermochemical Curing Process of Composite-Tool Systems During ManufactureCode1
Supercharging Imbalanced Data Learning With Energy-based Contrastive Representation TransferCode1
GLGE: A New General Language Generation Evaluation BenchmarkCode1
DeepShadows: Separating Low Surface Brightness Galaxies from Artifacts using Deep LearningCode1
Self-supervised transfer learning of physiological representations from free-living wearable dataCode1
EasyTransfer -- A Simple and Scalable Deep Transfer Learning Platform for NLP ApplicationsCode1
DeepI2I: Enabling Deep Hierarchical Image-to-Image Translation by Transferring from GANsCode1
Predicting Water Temperature Dynamics of Unmonitored Lakes with Meta Transfer LearningCode1
Learning Generalizable Physiological Representations from Large-scale Wearable DataCode1
PAMS: Quantized Super-Resolution via Parameterized Max ScaleCode1
Multi-Temporal Convolutions for Human Action Recognition in VideosCode1
EXAMS: A Multi-Subject High School Examinations Dataset for Cross-Lingual and Multilingual Question AnsweringCode1
Learning Visual Representations for Transfer Learning by Suppressing TextureCode1
Emergent Communication Pretraining for Few-Shot Machine TranslationCode1
XL-AMR: Enabling Cross-Lingual AMR Parsing with Transfer Learning TechniquesCode1
Domain Adaptation of Thai Word Segmentation Models using Stacked EnsembleCode1
TransQuest: Translation Quality Estimation with Cross-lingual TransformersCode1
Pixel-Level Cycle Association: A New Perspective for Domain Adaptive Semantic SegmentationCode1
Multi-Task Learning with Shared Encoder for Non-Autoregressive Machine TranslationCode1
Dataset Dynamics via Gradient Flows in Probability SpaceCode1
BARThez: a Skilled Pretrained French Sequence-to-Sequence ModelCode1
A Survey on Recent Approaches for Natural Language Processing in Low-Resource ScenariosCode1
Graph Contrastive Learning with AugmentationsCode1
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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