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 4501–4550 of 10307 papers

TitleStatusHype
Transfer learning for time series classification using synthetic data generationCode1
Convolutional Bypasses Are Better Vision Transformer AdaptersCode1
Current Trends in Deep Learning for Earth Observation: An Open-source Benchmark Arena for Image ClassificationCode2
DEXTER: An end-to-end system to extract table contents from electronic medical health documents—0
A Deep Learning-Based GPR Forward Solver for Predicting B-Scans of Subsurface Objects—0
Continual Meta-Reinforcement Learning for UAV-Aided Vehicular Wireless Networks—0
A Transfer Learning Based Model for Text Readability Assessment in German—0
A Data-Based Perspective on Transfer LearningCode1
HEAD: HEtero-Assists Distillation for Heterogeneous Object DetectorsCode1
On the Generalization for Transfer Learning: An Information-Theoretic Analysis—0
RE-Tagger: A light-weight Real-Estate Image Classifier—0
Transferability-Guided Cross-Domain Cross-Task Transfer Learning—0
An Interpretable Joint Nonnegative Matrix Factorization-Based Point Cloud Distance Measure—0
Real-Time And Robust 3D Object Detection with Roadside LiDARs—0
Scaling Novel Object Detection with Weakly Supervised Detection TransformersCode1
Multi-level Fusion of Wav2vec 2.0 and BERT for Multimodal Emotion RecognitionCode0
Dual-Correction Adaptation Network for Noisy Knowledge Transfer—0
On Improving the Performance of Glitch Classification for Gravitational Wave Detection by using Generative Adversarial Networks—0
Beyond Transfer Learning: Co-finetuning for Action Localisation—0
Consecutive Pretraining: A Knowledge Transfer Learning Strategy with Relevant Unlabeled Data for Remote Sensing DomainCode1
The Power of Transfer Learning in Agricultural Applications: AgriNet—0
G2L: A Geometric Approach for Generating Pseudo-labels that Improve Transfer Learning—0
An Embedding-Dynamic Approach to Self-supervised Learning—0
Deep learning based Hand gesture recognition system and design of a Human-Machine Interface—0
PointMCD: Boosting Deep Point Cloud Encoders via Multi-view Cross-modal Distillation for 3D Shape RecognitionCode1
Self-Supervised RF Signal Representation Learning for NextG Signal Classification with Deep Learning—0
Lightweight Encoder-Decoder Architecture for Foot Ulcer Segmentation—0
Distillation to Enhance the Portability of Risk Models Across Institutions with Large Patient Claims Database—0
Low-resource Low-footprint Wake-word Detection using Knowledge Distillation—0
Pre-training Transformers for Molecular Property Prediction Using Reaction Prediction—0
When does Bias Transfer in Transfer Learning?Code1
Federated and Transfer Learning: A Survey on Adversaries and Defense Mechanisms—0
Open-Vocabulary Multi-Label Classification via Multi-Modal Knowledge TransferCode1
A Unified Meta-Learning Framework for Dynamic Transfer LearningCode0
Vision-and-Language PretrainingCode0
Test-time Adaptation for Real Image Denoising via Meta-transfer Learning—0
Factorizing Knowledge in Neural NetworksCode1
Classification of Alzheimer's Disease Using the Convolutional Neural Network (CNN) with Transfer Learning and Weighted Loss—0
A Robust Ensemble Model for Patasitic Egg Detection and Classification—0
NodeTrans: A Graph Transfer Learning Approach for Traffic Prediction—0
Boosting Single-Frame 3D Object Detection by Simulating Multi-Frame Point Clouds—0
Mental Illness Classification on Social Media Texts using Deep Learning and Transfer Learning—0
Unified Object Detector for Different Modalities based on Vision TransformersCode0
Free speech or Free Hate Speech? Analyzing the Proliferation of Hate Speech in Parler—0
KDDIE at SemEval-2022 Task 11: Using DeBERTa for Named Entity Recognition—0
Aligning Generative Language Models with Human Values—0
CL-ReLKT: Cross-lingual Language Knowledge Transfer for Multilingual Retrieval Question AnsweringCode1
PINGAN Omini-Sinitic at SemEval-2022 Task 4: Multi-prompt Training for Patronizing and Condescending Language Detection—0
kpfriends at SemEval-2022 Task 2: NEAMER - Named Entity Augmented Multi-word Expression Recognizer—0
A Systematic Survey of Text Worlds as Embodied Natural Language Environments—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