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 7551–7600 of 10307 papers

TitleStatusHype
Voting-based Approaches For Differentially Private Federated Learning—0
Weaponizing Unicodes with Deep Learning -- Identifying Homoglyphs with Weakly Labeled DataCode0
Transfer Learning and SpecAugment applied to SSVEP Based BCI Classification—0
Towards the Detection of Building Occupancy with Synthetic Environmental Data—0
Leveraging Unpaired Text Data for Training End-to-End Speech-to-Intent Systems—0
Don't Parse, Insert: Multilingual Semantic Parsing with Insertion Based Decoding—0
Learning to Evaluate Translation Beyond English: BLEURT Submissions to the WMT Metrics 2020 Shared Task—0
Explanation and Use of Uncertainty Quantified by Bayesian Neural Network Classifiers for Breast Histopathology Images—0
Conversion and Implementation of State-of-the-Art Deep Learning Algorithms for the Classification of Diabetic Retinopathy—0
Cognitive Learning-Aided Multi-Antenna Communications—0
AxFormer: Accuracy-driven Approximation of Transformers for Faster, Smaller and more Accurate NLP ModelsCode0
An Audio-Video Deep and Transfer Learning Framework for Multimodal Emotion Recognition in the wild—0
"I'd rather just go to bed": Understanding Indirect Answers—0
Variational Feature Disentangling for Fine-Grained Few-Shot Classification—0
Transfer Learning and Distant Supervision for Multilingual Transformer Models: A Study on African LanguagesCode0
Contrastive Cross-Modal Pre-Training: A General Strategy for Small Sample Medical Imaging—0
Domain Adaptive Transfer Learning on Visual Attention Aware Data Augmentation for Fine-grained Visual Categorization—0
Multi-task Learning for Multilingual Neural Machine Translation—0
Representation learning from videos in-the-wild: An object-centric approach—0
DaNetQA: a yes/no Question Answering Dataset for the Russian Language—0
Learning Diverse Options via InfoMax Termination CriticCode0
RANDGAN: Randomized Generative Adversarial Network for Detection of COVID-19 in Chest X-rayCode0
LEAPME: Learning-based Property Matching with Embeddings—0
Generating Gameplay-Relevant Art Assets with Transfer LearningCode0
A New Mask R-CNN Based Method for Improved Landslide Detection—0
Stochastic analysis of heterogeneous porous material with modified neural architecture search (NAS) based physics-informed neural networks using transfer learning—0
Analysis of three dimensional potential problems in non-homogeneous media with physics-informed deep collocation method using material transfer learning and sensitivity analysis—0
Cross-Lingual Transfer Learning for Complex Word Identification—0
Data-Efficient Pretraining via Contrastive Self-Supervision—0
Attention-based Domain Adaption Using Transfer Learning for Part-of-Speech Tagging: An Experiment on the Hindi language—0
A Technical Question Answering System with Transfer LearningCode0
WeChat Neural Machine Translation Systems for WMT20—0
Using Unlabeled Data for Increasing Low-Shot Classification Accuracy of Relevant and Open-Set Irrelevant Images—0
Utilizing Transfer Learning and a Customized Loss Function for Optic Disc Segmentation from Retinal Images—0
Training general representations for remote sensing using in-domain knowledge—0
On Romanization for Model Transfer Between Scripts in Neural Machine Translation—0
Stochastic Precision Ensemble: Self-Knowledge Distillation for Quantized Deep Neural Networks—0
Improving Device Directedness Classification of Utterances with Semantic Lexical Features—0
The design and implementation of Language Learning Chatbot with XAI using Ontology and Transfer Learning—0
MetaMix: Improved Meta-Learning with Interpolation-based Consistency Regularization—0
Ensembles of Convolutional Neural Networks models for pediatric pneumonia diagnosis—0
Model-Agnostic Round-Optimal Federated Learning via Knowledge Transfer—0
Sense and Learn: Self-Supervision for Omnipresent Sensors—0
Medical Image Segmentation Using Deep Learning: A SurveyCode0
Sim2SG: Sim-to-Real Scene Graph Generation for Transfer Learning—0
Does Adversarial Transferability Indicate Knowledge Transferability?—0
REPAINT: Knowledge Transfer in Deep Actor-Critic Reinforcement Learning—0
Model Selection for Cross-Lingual Transfer using a Learned Scoring Function—0
Accelerating Multi-Model Inference by Merging DNNs of Different Weights—0
Scalable Transfer Learning with Expert Models—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