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 5951–6000 of 10307 papers

TitleStatusHype
An empirical investigation into audio pipeline approaches for classifying bird species—0
Joint Pilot Design and Channel Estimation using Deep Residual Learning for Multi-Cell Massive MIMO under Hardware Impairments—0
Automated Audio Captioning using Transfer Learning and Reconstruction Latent Space Similarity Regularization—0
How Self-Supervised Learning Can be Used for Fine-Grained Head Pose Estimation?—0
Towards artificially intelligent recycling Improving image processing for waste classification—0
Transfer Learning Gaussian Anomaly Detection by Fine-tuning Representations—0
Towards to Robust and Generalized Medical Image Segmentation FrameworkCode1
Deep Transfer Learning for Identifications of Slope Surface Cracks—0
Machine Translation of Low-Resource Indo-European Languages—0
Unifying Heterogeneous Electronic Health Records Systems via Text-Based Code EmbeddingCode1
Global Self-Attention as a Replacement for Graph ConvolutionCode1
Improving Similar Language Translation With Transfer Learning—0
Incremental Feature Learning For Infinite Data—0
Basis Scaling and Double Pruning for Efficient Inference in Network-Based Transfer Learning—0
Ensemble Augmentation for Deep Neural Networks Using 1-D Time Series Vibration DataCode0
Offensive Language and Hate Speech Detection with Deep Learning and Transfer Learning—0
Detecting Requirements Smells With Deep Learning: Experiences, Challenges and Future Work—0
Feature-Supervised Action Modality Transfer—0
SMOTified-GAN for class imbalanced pattern classification problemsCode1
Ada-VSR: Adaptive Video Super-Resolution with Meta-Learning—0
A Data Augmented Approach to Transfer Learning for Covid-19 Detection—0
An Encoder-Decoder Based Audio Captioning System With Transfer and Reinforcement LearningCode1
Robust Transfer Learning with Pretrained Language Models through Adapters—0
Improved Speech Emotion Recognition using Transfer Learning and Spectrogram Augmentation—0
EENLP: Cross-lingual Eastern European NLP IndexCode1
WeChat Neural Machine Translation Systems for WMT21—0
Terabyte-scale supervised 3D training and benchmarking dataset of the mouse kidney—0
Transfer Learning for Pose Estimation of Illustrated CharactersCode1
Indoor Localization Under Limited Measurements: A Cross-Environment Joint Semi-Supervised and Transfer Learning Approach—0
Semi-weakly Supervised Contrastive Representation Learning for Retinal Fundus ImagesCode0
Cross-Modal Analysis of Human Detection for Robotics: An Industrial Case Study—0
From augmented microscopy to the topological transformer: a new approach in cell image analysis for Alzheimer's research—0
Boosting Weakly Supervised Object Detection via Learning Bounding Box AdjustersCode1
A Hinge-Loss based Codebook Transfer for Cross-Domain Recommendation with Nonoverlapping Data—0
Pre-trained Models for Sonar ImagesCode1
Hybrid Classical-Quantum Deep Learning Models for Autonomous Vehicle Traffic Image Classification Under Adversarial Attack—0
Robustness of convolutional neural networks to physiological ECG noise—0
Cross-Modal Knowledge Transfer via Inter-Modal Translation and Alignment for Affect Recognition—0
Few-shot calibration of low-cost air pollution (PM2.5) sensors using meta-learningCode0
Multilevel Knowledge Transfer for Cross-Domain Object Detection—0
Self-supervised Audiovisual Representation Learning for Remote Sensing DataCode1
Semi-Supervising Learning, Transfer Learning, and Knowledge Distillation with SimCLR—0
Transfer Learning for Mining Feature Requests and Bug Reports from Tweets and App Store ReviewsCode0
Revisiting Pretraining with Adapters—0
IMS’ Systems for the IWSLT 2021 Low-Resource Speech Translation Task—0
Extracting Events from Industrial Incident Reports—0
Edinburgh’s End-to-End Multilingual Speech Translation System for IWSLT 2021—0
Improved pronunciation prediction accuracy using morphology—0
Exploring Cross-Lingual Transfer Learning with Unsupervised Machine Translation—0
Love Thy Neighbor: Combining Two Neighboring Low-Resource Languages for Translation—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