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 8601–8650 of 10307 papers

TitleStatusHype
Using reinforcement learning to learn how to play text-based gamesCode0
Volta at SemEval-2021 Task 6: Towards Detecting Persuasive Texts and Images using Textual and Multimodal EnsembleCode0
Using Rule-Based Labels for Weak Supervised Learning: A ChemNet for Transferable Chemical Property PredictionCode0
Understanding Synonymous Referring Expressions via Contrastive FeaturesCode0
Transfer Learning for Node Regression Applied to Spreading PredictionCode0
A logical-based corpus for cross-lingual evaluationCode0
Volta at SemEval-2021 Task 9: Statement Verification and Evidence Finding with Tables using TAPAS and Transfer LearningCode0
VoltaVision: A Transfer Learning model for electronic component classificationCode0
Understanding the Role of Invariance in Transfer LearningCode0
Understanding the Role of Mixup in Knowledge Distillation: An Empirical StudyCode0
Understanding Transfer Learning and Gradient-Based Meta-Learning TechniquesCode0
When Being Unseen from mBERT is just the Beginning: Handling New Languages With Multilingual Language ModelsCode0
Forecasting Credit Ratings: A Case Study where Traditional Methods Outperform Generative LLMsCode0
Trade-off between reconstruction loss and feature alignment for domain generalizationCode0
Zero-shot User Intent Detection via Capsule Neural NetworksCode0
Mutual Information-driven Subject-invariant and Class-relevant Deep Representation Learning in BCICode0
Under the Cover Infant Pose Estimation using Multimodal DataCode0
Towards Training Music Taggers on Synthetic DataCode0
Towards Symbolic Reinforcement Learning with Common SenseCode0
Underwater SONAR Image Classification and Analysis using LIME-based Explainable Artificial IntelligenceCode0
Transfer learning for music classification and regression tasksCode0
UniBridge: A Unified Approach to Cross-Lingual Transfer Learning for Low-Resource LanguagesCode0
Walking the Tightrope: An Investigation of the Convolutional Autoencoder BottleneckCode0
Transfer Learning for Molecular Property Predictions from Small Data SetsCode0
UniCrossAdapter: Multimodal Adaptation of CLIP for Radiology Report GenerationCode0
Warm Starting CMA-ES for Hyperparameter OptimizationCode0
Transfer Learning for Mining Feature Requests and Bug Reports from Tweets and App Store ReviewsCode0
Towards a text-based quantitative and explainable histopathology image analysisCode0
Towards Speaker Identification with Minimal Dataset and Constrained Resources using 1D-Convolution Neural NetworkCode0
Z-upscaling: Optical Flow Guided Frame Interpolation for Isotropic Reconstruction of 3D EM VolumesCode0
Transfer Learning for Low-Resource Sentiment AnalysisCode0
When Does Neuroevolution Outcompete Reinforcement Learning in Transfer Learning Tasks?Code0
Unified Object Detector for Different Modalities based on Vision TransformersCode0
Transfer Fine-Tuning: A BERT Case StudyCode0
When does Parameter-Efficient Transfer Learning Work for Machine Translation?Code0
Transfer Learning for Low-Resource Neural Machine TranslationCode0
Transfer Learning for Improving Speech Emotion Classification AccuracyCode0
Watch and learn -- a generalized approach for transferrable learning in deep neural networks via physical principlesCode0
When Does Visual Prompting Outperform Linear Probing for Vision-Language Models? A Likelihood PerspectiveCode0
Transfer Learning for Improving Results on Russian Sentiment DatasetsCode0
Transfer Learning for Image-Based Malware ClassificationCode0
UniGenCoder: Merging Seq2Seq and Seq2Tree Paradigms for Unified Code GenerationCode0
Transfer Learning for Illustration ClassificationCode0
Transfer Learning for HVAC System Fault DetectionCode0
Transfer Learning for Health-related Twitter DataCode0
Transfer Learning for Entity Recognition of Novel ClassesCode0
Towards Proactively Forecasting Sentence-Specific Information Popularity within Online News DocumentsCode0
Transfer Learning for Electricity Price ForecastingCode0
Transfer Learning for Deep Learning-based Prediction of Lattice Thermal ConductivityCode0
Transfer learning for day-ahead load forecasting: a case study on European national electricity demand time seriesCode0
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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