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 7101–7150 of 10307 papers

TitleStatusHype
XL-AMR: Enabling Cross-Lingual AMR Parsing with Transfer Learning TechniquesCode1
TED-CDB: A Large-Scale Chinese Discourse Relation Dataset on TED Talks—0
TransQuest: Translation Quality Estimation with Cross-lingual TransformersCode1
WLV-RIT at HASOC-Dravidian-CodeMix-FIRE2020: Offensive Language Identification in Code-switched YouTube Comments—0
Analyzing the Effect of Multi-task Learning for Biomedical Named Entity Recognition—0
Dark Reciprocal-Rank: Boosting Graph-Convolutional Self-Localization Network via Teacher-to-student Knowledge Transfer—0
An Information-Geometric Distance on the Space of TasksCode0
Recent Neural Methods on Slot Filling and Intent Classification for Task-Oriented Dialogue Systems: A Survey—0
Is Transfer Learning Necessary for Protein Landscape Prediction?—0
Automatic Chronic Degenerative Diseases Identification Using Enteric Nervous System ImagesCode0
Pixel-Level Cycle Association: A New Perspective for Domain Adaptive Semantic SegmentationCode1
Free the Plural: Unrestricted Split-Antecedent Anaphora ResolutionCode0
Multimodal and self-supervised representation learning for automatic gesture recognition in surgical robotics—0
C-Net: A Reliable Convolutional Neural Network for Biomedical Image ClassificationCode0
Multi-stage transfer learning for lung segmentation using portable X-ray devices for patients with COVID-19—0
A Model of Two Tales: Dual Transfer Learning Framework for Improved Long-tail Item Recommendation—0
Transfer Learning improves MI BCI models classification accuracy in Parkinson's disease patients—0
Speech-Image Semantic Alignment Does Not Depend on Any Prior Classification Tasks—0
Augmenting transferred representations for stock classification—0
Exploring the potential of transfer learning for metamodels of heterogeneous material deformationCode0
Polymer Informatics with Multi-Task Learning—0
Accurate Prostate Cancer Detection and Segmentation on Biparametric MRI using Non-local Mask R-CNN with Histopathological Ground Truth—0
CopyPaste: An Augmentation Method for Speech Emotion Recognition—0
Learning to be Safe: Deep RL with a Safety Critic—0
Behavior Priors for Efficient Reinforcement Learning—0
FaceLeaks: Inference Attacks against Transfer Learning Models via Black-box Queries—0
Multi-Class Zero-Shot Learning for Artistic Material Recognition—0
Transfer Learning for Input Estimation of Vehicle Systems—0
Smartphone-Based Test and Predictive Models for Rapid, Non-Invasive, and Point-of-Care Monitoring of Ocular and Cardiovascular Complications Related to Diabetes—0
A Survey on Curriculum Learning—0
Shared Space Transfer Learning for analyzing multi-site fMRI data—0
Multi-Task Learning with Shared Encoder for Non-Autoregressive Machine TranslationCode1
Multilingual Speech Translation with Efficient Finetuning of Pretrained Models—0
Dataset Dynamics via Gradient Flows in Probability SpaceCode1
On Transferability of Bias Mitigation Effects in Language Model Fine-Tuning—0
When Being Unseen from mBERT is just the Beginning: Handling New Languages With Multilingual Language ModelsCode0
Unsupervised Paraphrasing with Pretrained Language Models—0
A Study of Transfer Learning in Music Source Separation—0
Improving Classification through Weak Supervision in Context-specific Conversational Agent Development for Teacher Education—0
Anchor-based Bilingual Word Embeddings for Low-Resource Languages—0
A Survey on Recent Approaches for Natural Language Processing in Low-Resource ScenariosCode1
Matching the Clinical Reality: Accurate OCT-Based Diagnosis From Few LabelsCode0
A Combinatorial Perspective on Transfer LearningCode0
BARThez: a Skilled Pretrained French Sequence-to-Sequence ModelCode1
Towards Fair Knowledge Transfer for Imbalanced Domain Adaptation—0
Network Anomaly Detection Using Federated Learning and Transfer Learning—0
Multilingual Approach to Joint Speech and Accent Recognition with DNN-HMM Framework—0
Graph Contrastive Learning with AugmentationsCode1
CUNI Systems for the Unsupervised and Very Low Resource Translation Task in WMT20—0
Learning Transferrable Parameters for Long-tailed Sequential User Behavior Modeling—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