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 3301–3350 of 10307 papers

TitleStatusHype
EVA: Exploring the Limits of Masked Visual Representation Learning at ScaleCode0
Evaluate Fine-tuning Strategies for Fetal Head Ultrasound Image Segmentation with U-NetCode0
Contrastive Cross-Course Knowledge Tracing via Concept Graph Guided Knowledge TransferCode0
Contrastive Bi-Projector for Unsupervised Domain AdaptionCode0
ETT-CKGE: Efficient Task-driven Tokens for Continual Knowledge Graph EmbeddingCode0
A Survey of Incremental Transfer Learning: Combining Peer-to-Peer Federated Learning and Domain Incremental Learning for Multicenter CollaborationCode0
Estimated Depth Map Helps Image ClassificationCode0
Towards Offensive Language Identification for Tamil Code-Mixed YouTube Comments and PostsCode0
Establishing Deep InfoMax as an effective self-supervised learning methodology in materials informaticsCode0
SocialIQA: Commonsense Reasoning about Social InteractionsCode0
Estimating Buildings' Parameters over Time Including Prior KnowledgeCode0
Environment Invariant Linear Least SquaresCode0
EPRNet: Efficient Pyramid Representation Network for Real-Time Street Scene SegmentationCode0
Entire Space Multi-Task Model: An Effective Approach for Estimating Post-Click Conversion RateCode0
Towards an efficient deep learning model for musical onset detectionCode0
Entity-aware Cross-lingual Claim Detection for Automated Fact-checkingCode0
Equivariant Learning of Stochastic Fields: Gaussian Processes and Steerable Conditional Neural ProcessesCode0
Source-Free Collaborative Domain Adaptation via Multi-Perspective Feature Enrichment for Functional MRI AnalysisCode0
Estimating encoding models of cortical auditory processing using naturalistic stimuli and transfer learningCode0
Evaluating the Values of Sources in Transfer LearningCode0
E-Sort: Empowering End-to-end Neural Network for Multi-channel Spike Sorting with Transfer Learning and Fast Post-processingCode0
Enhancing Two-Player Performance Through Single-Player Knowledge Transfer: An Empirical Study on Atari 2600 GamesCode0
Enriched BERT Embeddings for Scholarly Publication ClassificationCode0
A Survey of Available Corpora for Building Data-Driven Dialogue SystemsCode0
Enhancing Transformers with Gradient Boosted Decision Trees for NLI Fine-TuningCode0
Ensemble Augmentation for Deep Neural Networks Using 1-D Time Series Vibration DataCode0
Continuous Detection, Rapidly React: Unseen Rumors Detection based on Continual Prompt-TuningCode0
Enhancing Scene Classification in Cloudy Image Scenarios: A Collaborative Transfer Method with Information Regulation Mechanism using Optical Cloud-Covered and SAR Remote Sensing ImagesCode0
Effective Cross-lingual Transfer of Neural Machine Translation Models without Shared VocabulariesCode0
Effective Cross-Task Transfer Learning for Explainable Natural Language Inference with T5Code0
Spike encoding techniques for IoT time-varying signals benchmarked on a neuromorphic classification taskCode0
Enhancing textual textbook question answering with large language models and retrieval augmented generationCode0
Can Unsupervised Knowledge Transfer from Social Discussions Help Argument Mining?Code0
SpotTune: Transfer Learning through Adaptive Fine-tuningCode0
Ensemble Learning via Knowledge Transfer for CTR PredictionCode0
Continual Reinforcement Learning for HVAC Systems Control: Integrating Hypernetworks and Transfer LearningCode0
Continual Prune-and-Select: Class-incremental learning with specialized subnetworksCode0
Stability of Graph Scattering TransformsCode0
A Good Practice Towards Top Performance of Face Recognition: Transferred Deep Feature FusionCode0
Effective Use of Bidirectional Language Modeling for Transfer Learning in Biomedical Named Entity RecognitionCode0
Effect of Deep Transfer and Multi task Learning on Sperm Abnormality DetectionCode0
Enhancing Generalized Few-Shot Semantic Segmentation via Effective Knowledge TransferCode0
Enhancing Human Pose Estimation in Ancient Vase Paintings via Perceptually-grounded Style Transfer LearningCode0
Straightforward Layer-wise Pruning for More Efficient Visual AdaptationCode0
Enhancing Cross-Dataset Performance of Distracted Driving Detection With Score Softmax Classifier And Dynamic Gaussian Smoothing SupervisionCode0
Effects of the Nonlinearity in Activation Functions on the Performance of Deep Learning ModelsCode0
Enhancing Brain Tumor Segmentation Using Channel Attention and Transfer learningCode0
Enhancing Dataset Distillation via Non-Critical Region RefinementCode0
Structured Probabilistic Pruning for Convolutional Neural Network AccelerationCode0
End-to-End Video Question-Answer Generation with Generator-Pretester NetworkCode0
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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