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 7151–7200 of 10307 papers

TitleStatusHype
Exploiting News Article Structure for Automatic Corpus Generation of Entailment DatasetsCode1
Precise High-Dimensional Asymptotics for Quantifying Heterogeneous Transfers—0
STAR: A Schema-Guided Dialog Dataset for Transfer LearningCode1
Self-Supervised Contrastive Learning for Efficient User Satisfaction Prediction in Conversational Agents—0
A General Multi-Task Learning Framework to Leverage Text Data for Speech to Text Tasks—0
Contextualized Attention-based Knowledge Transfer for Spoken Conversational Question Answering—0
Transfer Learning in Large-scale Gaussian Graphical Models with False Discovery Rate ControlCode0
Performance of Transfer Learning Model vs. Traditional Neural Network in Low System Resource Environment—0
Pushing the Limits of AMR Parsing with Self-Learning—0
Optimising the Performance of Convolutional Neural Networks across Computing Systems using Transfer Learning—0
Complete Multilingual Neural Machine Translation—0
Knowledge Distillation in Wide Neural Networks: Risk Bound, Data Efficiency and Imperfect Teacher—0
Knowledge Transfer for Efficient On-device False Trigger Mitigation—0
DATSING: Data Augmented Time Series Forecasting with Adversarial Domain Adaptation—0
M2D: A Multi-modal Framework for Automatic Medical Diagnosis—0
An Investigation of Feature Selection and Transfer Learning for Writer-Independent Offline Handwritten Signature Verification—0
Technical Question Answering across Tasks and DomainsCode0
MCGKT-Net: Multi-level Context Gating Knowledge Transfer Network for Single Image Deraining—0
Vision-Based Layout Detection from Scientific Literature using Recurrent Convolutional Neural Networks—0
Unsupervised Neural Machine Translation for Low-Resource Domains via Meta-Learning—0
Audio-based Near-Duplicate Video Retrieval with Audio Similarity LearningCode1
SIGTYP 2020 Shared Task: Prediction of Typological Features—0
Improving significance of binary black hole mergers in Advanced LIGO data using deep learning : Confirmation of GW151216Code0
Deep Learning based Automated Forest Health Diagnosis from Aerial Images—0
Inferring symmetry in natural languageCode0
Multi-task Learning of Negation and Speculation for Targeted Sentiment ClassificationCode0
PrivNet: Safeguarding Private Attributes in Transfer Learning for Recommendation—0
Towards Accurate Knowledge Transfer via Target-awareness Representation Disentanglement—0
Explicit Alignment Objectives for Multilingual Bidirectional EncodersCode0
Self-training for Few-shot Transfer Across Extreme Task DifferencesCode1
Interpretation of Swedish Sign Language using Convolutional Neural Networks and Transfer LearningCode0
Knowledge Transfer in Multi-Task Deep Reinforcement Learning for Continuous ControlCode1
Exploring the Uncertainty Properties of Neural Networks' Implicit Priors in the Infinite-Width Limit—0
PP-LinkNet: Improving Semantic Segmentation of High Resolution Satellite Imagery with Multi-stage Training—0
Deep Ensembles for Low-Data Transfer Learning—0
Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign DropoutCode0
Effects of the Nonlinearity in Activation Functions on the Performance of Deep Learning ModelsCode0
Towards Accurate Quantization and Pruning via Data-free Knowledge Transfer—0
Weight Squeezing: Reparameterization for Knowledge Transfer and Model Compression—0
Information-Theoretic Bounds on Transfer Generalization Gap Based on Jensen-Shannon Divergence—0
Will This Idea Spread Beyond Academia? Understanding Knowledge Transfer of Scientific Concepts across Text Corpora—0
SAR: Scale-Aware Restoration Learning for 3D Tumor Segmentation—0
Which Model to Transfer? Finding the Needle in the Growing Haystack—0
Pagsusuri ng RNN-based Transfer Learning Technique sa Low-Resource LanguageCode1
Model Selection for Cross-Lingual TransferCode0
Land Cover Semantic Segmentation Using ResUNet—0
Asking Crowdworkers to Write Entailment Examples: The Best of Bad OptionsCode0
Multilingual Argument Mining: Datasets and Analysis—0
PANDA: Adapting Pretrained Features for Anomaly Detection and SegmentationCode1
Collective Wisdom: Improving Low-resource Neural Machine Translation using Adaptive Knowledge Distillation—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