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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 7201–7250 of 10307 papers

TitleStatusHype
Multi-Stage Pre-training for Low-Resource Domain Adaptation—0
MoCo-CXR: MoCo Pretraining Improves Representation and Transferability of Chest X-ray ModelsCode1
Shape-aware Generative Adversarial Networks for Attribute Transfer—0
Multilingual Offensive Language Identification with Cross-lingual EmbeddingsCode0
fairseq S2T: Fast Speech-to-Text Modeling with fairseqCode0
Multi-path Neural Networks for On-device Multi-domain Visual Classification—0
ChrEn: Cherokee-English Machine Translation for Endangered Language RevitalizationCode1
Permuted AdaIN: Reducing the Bias Towards Global Statistics in Image ClassificationCode1
Voting-based Approaches For Differentially Private Federated Learning—0
Weaponizing Unicodes with Deep Learning -- Identifying Homoglyphs with Weakly Labeled DataCode0
HydroDeep -- A Knowledge Guided Deep Neural Network for Geo-Spatiotemporal Data Analysis—0
Be Your Own Best Competitor! Multi-Branched Adversarial Knowledge Transfer—0
Transfer Learning and SpecAugment applied to SSVEP Based BCI Classification—0
Towards the Detection of Building Occupancy with Synthetic Environmental Data—0
Learning to Evaluate Translation Beyond English: BLEURT Submissions to the WMT Metrics 2020 Shared Task—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
CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer LearningCode1
Conversion and Implementation of State-of-the-Art Deep Learning Algorithms for the Classification of Diabetic Retinopathy—0
Explanation and Use of Uncertainty Quantified by Bayesian Neural Network Classifiers for Breast Histopathology Images—0
Unsupervised Representation Learning by InvariancePropagationCode1
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
Cognitive Learning-Aided Multi-Antenna Communications—0
Multilingual Knowledge Graph Completion via Ensemble Knowledge TransferCode1
Transfer Learning and Distant Supervision for Multilingual Transformer Models: A Study on African LanguagesCode0
Variational Feature Disentangling for Fine-Grained Few-Shot Classification—0
RANDGAN: Randomized Generative Adversarial Network for Detection of COVID-19 in Chest X-rayCode0
Domain Adaptive Transfer Learning on Visual Attention Aware Data Augmentation for Fine-grained Visual Categorization—0
Learning Diverse Options via InfoMax Termination CriticCode0
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
Contrastive Cross-Modal Pre-Training: A General Strategy for Small Sample Medical Imaging—0
The Multilingual Amazon Reviews CorpusCode1
KGPT: Knowledge-Grounded Pre-Training for Data-to-Text GenerationCode1
A Comparative Study of Existing and New Deep Learning Methods for Detecting Knee Injuries using the MRNet DatasetCode1
LEAPME: Learning-based Property Matching with Embeddings—0
An Empirical Study on Large-Scale Multi-Label Text Classification Including Few and Zero-Shot LabelsCode1
A New Mask R-CNN Based Method for Improved Landslide Detection—0
Generating Gameplay-Relevant Art Assets with Transfer LearningCode0
Analysis of three dimensional potential problems in non-homogeneous media with physics-informed deep collocation method using material transfer learning and sensitivity analysis—0
Stochastic analysis of heterogeneous porous material with modified neural architecture search (NAS) based physics-informed neural networks using transfer learning—0
Practical One-Shot Federated Learning for Cross-Silo SettingCode1
Data-Efficient Pretraining via Contrastive Self-Supervision—0
Cross-Lingual Transfer Learning for Complex Word Identification—0
XDA: Accurate, Robust Disassembly with Transfer LearningCode1
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
Show:102550
← PrevPage 145 of 207Next →
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