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 1301–1350 of 10307 papers

TitleStatusHype
Discriminative Feature Alignment: Improving Transferability of Unsupervised Domain Adaptation by Gaussian-guided Latent AlignmentCode1
Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task LearningCode1
Generalisation Guarantees for Continual Learning with Orthogonal Gradient DescentCode1
Self-Supervised Prototypical Transfer Learning for Few-Shot ClassificationCode1
A Qualitative Evaluation of Language Models on Automatic Question-Answering for COVID-19Code1
Neural Topic Modeling with Continual Lifelong LearningCode1
Transfer Learning for High-dimensional Linear Regression: Prediction, Estimation, and Minimax OptimalityCode1
Deep Learning Enabled Semantic Communication SystemsCode1
COVID-CXNet: Detecting COVID-19 in Frontal Chest X-ray Images using Deep LearningCode1
Improving accuracy and speeding up Document Image Classification through parallel systemsCode1
Adversarial Self-Supervised Contrastive LearningCode1
MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and ArchitecturesCode1
Knowledge Distillation Meets Self-SupervisionCode1
Learning the Travelling Salesperson Problem Requires Rethinking GeneralizationCode1
MemeSem:A Multi-modal Framework for Sentimental Analysis of Meme via Transfer LearningCode1
Few-shot Neural Architecture SearchCode1
Syn2Real Transfer Learning for Image Deraining using Gaussian ProcessesCode1
Deep Learning for Change Detection in Remote Sensing Images: Comprehensive Review and Meta-AnalysisCode1
Cross-Sensor Adversarial Domain Adaptation of Landsat-8 and Proba-V images for Cloud DetectionCode1
GEOM: Energy-annotated molecular conformations for property prediction and molecular generationCode1
DoubleU-Net: A Deep Convolutional Neural Network for Medical Image SegmentationCode1
Auxiliary Signal-Guided Knowledge Encoder-Decoder for Medical Report GenerationCode1
Attention-Based Deep Learning Framework for Human Activity Recognition with User AdaptationCode1
Google Landmarks Dataset v2 - A Large-Scale Benchmark for Instance-Level Recognition and RetrievalCode1
Online Knowledge Distillation via Collaborative LearningCode1
Massive Choice, Ample Tasks (MaChAmp): A Toolkit for Multi-task Learning in NLPCode1
Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly DetectionCode1
Classification of Epithelial Ovarian Carcinoma Whole-Slide Pathology Images Using Deep Transfer LearningCode1
Text-to-Text Pre-Training for Data-to-Text TasksCode1
A Further Study of Unsupervised Pre-training for Transformer Based Speech RecognitionCode1
Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric ModelsCode1
Movement Pruning: Adaptive Sparsity by Fine-TuningCode1
Pre-training technique to localize medical BERT and enhance biomedical BERTCode1
Modularizing Deep Learning via Pairwise Learning With KernelsCode1
Neural Architecture TransferCode1
SOLOIST: Building Task Bots at Scale with Transfer Learning and Machine TeachingCode1
Pretraining Federated Text Models for Next Word PredictionCode1
TTS-Portuguese Corpus: a corpus for speech synthesis in Brazilian PortugueseCode1
Prototypical Contrastive Learning of Unsupervised RepresentationsCode1
From Speaker Verification to Multispeaker Speech Synthesis, Deep Transfer with Feedback ConstraintCode1
Understanding Dynamic Scenes using Graph Convolution NetworksCode1
JASS: Japanese-specific Sequence to Sequence Pre-training for Neural Machine TranslationCode1
CovidCTNet: An Open-Source Deep Learning Approach to Identify Covid-19 Using CT ImageCode1
Knee Injury Detection using MRI with Efficiently-Layered Network (ELNet)Code1
Off-Policy Adversarial Inverse Reinforcement LearningCode1
A Simple Language Model for Task-Oriented DialogueCode1
Exploring and Predicting Transferability across NLP TasksCode1
Zero-Shot Transfer Learning with Synthesized Data for Multi-Domain Dialogue State TrackingCode1
Gender Bias in Multilingual Embeddings and Cross-Lingual TransferCode1
GoEmotions: A Dataset of Fine-Grained EmotionsCode1
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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