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 7051–7100 of 10307 papers

TitleStatusHype
SPIRIT: Short-term Prediction of solar IRradIance for zero-shot Transfer learning using Foundation Models—0
Spoiler in a Textstack: How Much Can Transformers Help?—0
SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer—0
SpotPatch: Parameter-Efficient Transfer Learning for Mobile Object Detection—0
SpotTheFake: An Initial Report on a New CNN-Enhanced Platform for Counterfeit Goods Detection—0
SRoll3: A neural network approach to reduce large-scale systematic effects in the Planck High Frequency Instrument maps—0
SSDL: Self-Supervised Domain Learning for Improved Face Recognition—0
SSL-QALAS: Self-Supervised Learning for Rapid Multiparameter Estimation in Quantitative MRI Using 3D-QALAS—0
SSMT: Few-Shot Traffic Forecasting with Single Source Meta-Transfer—0
SSN@LT-EDI-ACL2022: Transfer Learning using BERT for Detecting Signs of Depression from Social Media Texts—0
SSRepL-ADHD: Adaptive Complex Representation Learning Framework for ADHD Detection from Visual Attention Tasks—0
Stable Diffusion Dataset Generation for Downstream Classification Tasks—0
Stable Learning in Coding Space for Multi-Class Decoding and Its Extension for Multi-Class Hypothesis Transfer Learning—0
Stacked Denoising Autoencoders and Transfer Learning for Immunogold Particles Detection and Recognition—0
Stacked Semantic-Guided Network for Zero-Shot Sketch-Based Image Retrieval—0
Stacked transfer learning for tropical cyclone intensity prediction—0
Stacking for Transfer Learning—0
Stain Normalized Breast Histopathology Image Recognition using Convolutional Neural Networks for Cancer Detection—0
Star-Graph Multimodal Matching Component Analysis for Data Fusion and Transfer Learning—0
STAR: Noisy Semi-Supervised Transfer Learning for Visual Classification—0
StARS DCM: A Sleep Stage-Decoding Forehead EEG Patch for Real-time Modulation of Sleep Physiology—0
State Classification with CNN—0
State-of-the-art and gaps for deep learning on limited training data in remote sensing—0
Station-to-User Transfer Learning: Towards Explainable User Clustering Through Latent Trip Signatures Using Tidal-Regularized Non-Negative Matrix Factorization—0
Statistical Deficiency for Task Inclusion Estimation—0
Statistical Hardware Design With Multi-model Active Learning—0
Probabilities of the Third Type: Statistical Relational Learning and Reasoning with Relative Frequencies—0
Stealing the Invisible: Unveiling Pre-Trained CNN Models through Adversarial Examples and Timing Side-Channels—0
StEduCov: An Explored and Benchmarked Dataset on Stance Detection in Tweets towards Online Education during COVID-19 Pandemic—0
Steerable Equivariant Representation Learning—0
STemGAN: spatio-temporal generative adversarial network for video anomaly detection—0
Step Out and Seek Around: On Warm-Start Training with Incremental Data—0
Stiff Transfer Learning for Physics-Informed Neural Networks—0
Stitching for Neuroevolution: Recombining Deep Neural Networks without Breaking Them—0
Stochastic analysis of heterogeneous porous material with modified neural architecture search (NAS) based physics-informed neural networks using transfer learning—0
Improving the Behaviour of Vision Transformers with Token-consistent Stochastic Layers—0
Stochastic Precision Ensemble: Self-Knowledge Distillation for Quantized Deep Neural Networks—0
Stochastic Vision Transformers with Wasserstein Distance-Aware Attention—0
Stock and market index prediction using Informer network—0
Stop Illegal Comments: A Multi-Task Deep Learning Approach—0
STRATA: Word Boundaries & Phoneme Recognition From Continuous Urdu Speech using Transfer Learning, Attention, & Data Augmentation—0
Strategies in Transfer Learning for Low-Resource Speech Synthesis: Phone Mapping, Features Input, and Source Language Selection—0
Strategy Extraction in Single-Agent Games—0
Stratified Transfer Learning for Cross-domain Activity Recognition—0
Streamlining Brain Tumor Classification with Custom Transfer Learning in MRI Images—0
Structural Similarity for Improved Transfer in Reinforcement Learning—0
Structural Transfer Learning in NL-to-Bash Semantic Parsers—0
Structural transfer learning of non-Gaussian DAG—0
Structure-Aware Transformer Policy for Inhomogeneous Multi-Task Reinforcement Learning—0
Structured Model Probing: Empowering Efficient Transfer Learning by Structured Regularization—0
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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