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 6301–6350 of 10307 papers

TitleStatusHype
Out-of-Distribution Detection in Dermatology using Input Perturbation and Subset Scanning—0
Fast Crack Detection Using Convolutional Neural Network—0
Multi-Type-TD-TSR -- Extracting Tables from Document Images using a Multi-stage Pipeline for Table Detection and Table Structure Recognition: from OCR to Structured Table RepresentationsCode1
MIASSR: An Approach for Medical Image Arbitrary Scale Super-ResolutionCode1
GAN pretraining for deep convolutional autoencoders applied to Software-based Fingerprint Presentation Attack DetectionCode0
Generalized Few-Shot Object Detection without ForgettingCode1
DeepDarts: Modeling Keypoints as Objects for Automatic Scorekeeping in Darts using a Single CameraCode1
Covid-19 Detection from Chest X-ray and Patient Metadata using Graph Convolutional Neural Networks—0
Light-weight Document Image Cleanup using Perceptual LossCode0
Efficient Transfer Learning via Joint Adaptation of Network Architecture and Weight—0
Multiple Meta-model Quantifying for Medical Visual Question AnsweringCode1
Unsupervised Discriminative Learning of Sounds for Audio Event Classification—0
Transfer learning approach to Classify the X-ray image that corresponds to corona disease Using ResNet50 pretrained by ChexNetCode0
Solving the electronic Schrödinger equation for multiple nuclear geometries with weight-sharing deep neural networksCode1
Exploring Driving-aware Salient Object Detection via Knowledge TransferCode0
Automatic Assessment of Alzheimer's Disease Diagnosis Based on Deep Learning TechniquesCode0
Deep Metric Learning for Few-Shot Image Classification: A Review of Recent Developments—0
Transfer Learning Enhanced Generative Adversarial Networks for Multi-Channel MRI ReconstructionCode0
Ensemble-based Transfer Learning for Low-resource Machine Translation Quality Estimation—0
Dermoscopic Image Classification with Neural Style Transfer—0
Analysis and Prediction of NLP models via Task Embeddings—0
SLGPT: Using Transfer Learning to Directly Generate Simulink Model Files and Find Bugs in the Simulink ToolchainCode0
Graph-Free Knowledge Distillation for Graph Neural NetworksCode1
TAR: Generalized Forensic Framework to Detect Deepfakes using Weakly Supervised LearningCode0
TransferI2I: Transfer Learning for Image-to-Image Translation from Small Datasets—0
Improving Code Autocompletion with Transfer Learning—0
Could you give me a hint? Generating inference graphs for defeasible reasoningCode0
Multilingual Offensive Language Identification for Low-resource Languages—0
Building a Question and Answer System for News Domain—0
Encoding Explanatory Knowledge for Zero-shot Science Question Answering—0
Towards Using Diachronic Distributed Word Representations as Models of Lexical Development—0
Zero-Shot Reinforcement Learning on Graphs for Autonomous Exploration Under Uncertainty—0
Unsupervised domain adaptation via double classifiers based on high confidence pseudo label—0
ChaLearn LAP Large Scale Signer Independent Isolated Sign Language Recognition Challenge: Design, Results and Future Research—0
Separate but Together: Unsupervised Federated Learning for Speech Enhancement from Non-IID DataCode1
Wav2KWS: Transfer Learning from Speech Representations for Keyword SpottingCode1
Differentially Private Transferrable Deep Learning with Membership-Mappings—0
Leveraging Slot Descriptions for Zero-Shot Cross-Domain Dialogue State TrackingCode1
FNet: Mixing Tokens with Fourier TransformsCode1
Dataset and Performance Comparison of Deep Learning Architectures for Plum Detection and Robotic Harvesting—0
Towards Explainable, Privacy-Preserved Human-Motion Affect Recognition—0
Slash or burn: Power line and vegetation classification for wildfire prevention—0
Enhancing ensemble learning and transfer learning in multimodal data analysis by adaptive dimensionality reduction—0
Enhancing Transformers with Gradient Boosted Decision Trees for NLI Fine-TuningCode0
DA-GCN: A Domain-aware Attentive Graph Convolution Network for Shared-account Cross-domain Sequential Recommendation—0
Few-Shot Learning for Image Classification of Common FloraCode0
PEMNET: A Transfer Learning-based Modeling Approach of High-Temperature Polymer Electrolyte Membrane Electrochemical Systems—0
Self-Adaptive Transfer Learning for Multicenter Glaucoma Classification in Fundus Retina Images—0
GANTL: Towards Practical and Real-Time Topology Optimization with Conditional GANs and Transfer LearningCode0
Infrared Image Super-Resolution via Transfer Learning and PSRGANCode1
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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