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 5051–5100 of 10307 papers

TitleStatusHype
Joint Semantic Transfer Network for IoT Intrusion Detection—0
Multi-Target Tracking with Transferable Convolutional Neural NetworksCode0
Drug repositioning for Alzheimer's disease with transfer learning—0
TAD: Transfer Learning-based Multi-Adversarial Detection of Evasion Attacks against Network Intrusion Detection Systems—0
Adaptive physics-informed neural operator for coarse-grained non-equilibrium flows—0
Multi-Environment based Meta-Learning with CSI Fingerprints for Radio Based Positioning—0
Knowledge Transfer For On-Device Speech Emotion Recognition with Neural Structured LearningCode0
Pretrained audio neural networks for Speech emotion recognition in PortugueseCode0
Visual Answer Localization with Cross-modal Mutual Knowledge TransferCode0
Trade-off between reconstruction loss and feature alignment for domain generalizationCode0
Towards automatic generation of Piping and Instrumentation Diagrams (P&IDs) with Artificial Intelligence—0
This joke is [MASK]: Recognizing Humor and Offense with Prompting—0
XRICL: Cross-lingual Retrieval-Augmented In-Context Learning for Cross-lingual Text-to-SQL Semantic ParsingCode0
Empowering Long-tail Item Recommendation through Cross Decoupling Network (CDN)—0
CLIP-FLow: Contrastive Learning by semi-supervised Iterative Pseudo labeling for Optical Flow Estimation—0
Progressive Sentiment Analysis for Code-Switched Text DataCode0
Accelerating Certified Robustness Training via Knowledge TransferCode0
Embedding neurophysiological signalsCode0
Langevin dynamics based algorithm e-THO POULA for stochastic optimization problems with discontinuous stochastic gradientCode0
Multilingual Auxiliary Tasks Training: Bridging the Gap between Languages for Zero-Shot Transfer of Hate Speech Detection ModelsCode0
IT-RUDA: Information Theory Assisted Robust Unsupervised Domain Adaptation—0
Boosting Kidney Stone Identification in Endoscopic Images Using Two-Step Transfer Learning—0
Investigating self-supervised, weakly supervised and fully supervised training approaches for multi-domain automatic speech recognition: a study on Bangladeshi Bangla—0
Knowledge Transfer from Answer Ranking to Answer Generation—0
Data Augmentation for Automated Essay Scoring using Transformer Models—0
Manifold Alignment with Label Information—0
Model ensemble instead of prompt fusion: a sample-specific knowledge transfer method for few-shot prompt tuning—0
Baby Physical Safety Monitoring in Smart Home Using Action Recognition System—0
MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity RecognitionCode0
Probing Transfer in Deep Reinforcement Learning without Task Engineering—0
Tools for Extracting Spatio-Temporal Patterns in Meteorological Image Sequences: From Feature Engineering to Attention-Based Neural Networks—0
Generalizing over Long Tail Concepts for Medical Term NormalizationCode0
An Exploration of Data Efficiency in Intra-Dataset Task Transfer for Dialog Understanding—0
Real-time Detection of 2D Tool Landmarks with Synthetic Training Data—0
Deep LSTM Spoken Term Detection using Wav2Vec 2.0 Recognizer—0
A Complete Recipe for Bayesian Knowledge Transfer: Object Tracking—0
Context-driven Visual Object Recognition based on Knowledge Graphs—0
Super-Resolution and Image Re-projection for Iris Recognition—0
LAVA: Label-efficient Visual Learning and AdaptationCode0
Hierarchical Deep Learning with Generative Adversarial Network for Automatic Cardiac Diagnosis from ECG Signals—0
Time and Cost-Efficient Bathymetric Mapping System using Sparse Point Cloud Generation and Automatic Object DetectionCode0
Transfer-learning for video classification: Video Swin Transformer on multiple domains—0
Weakly Supervised Learning with Automated Labels from Radiology Reports for Glioma Change Detection—0
Transfer learning with affine model transformationCode0
Tiny-Attention Adapter: Contexts Are More Important Than the Number of Parameters—0
Hidden State Variability of Pretrained Language Models Can Guide Computation Reduction for Transfer Learning—0
A Simple and Effective Method to Improve Zero-Shot Cross-Lingual Transfer LearningCode0
Exclusive Supermask Subnetwork Training for Continual LearningCode0
PEMP: Leveraging Physics Properties to Enhance Molecular Property Prediction—0
BIOWISH: Biometric Recognition using Wearable Inertial Sensors detecting Heart Activity—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