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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 6726–6750 of 10307 papers

TitleStatusHype
Schema-Guided Paradigm for Zero-Shot DialogCode0
Domain Generalization on Medical Imaging Classification using Episodic Training with Task Augmentation—0
HistoTransfer: Understanding Transfer Learning for Histopathology—0
FGLP: A Federated Fine-Grained Location Prediction System for Mobile Users—0
GenSF: Simultaneous Adaptation of Generative Pre-trained Models and Slot FillingCode0
CARTL: Cooperative Adversarially-Robust Transfer LearningCode0
Robust Graph Meta-learning for Weakly-supervised Few-shot Node Classification—0
Efficient Deep Learning Architectures for Fast Identification of Bacterial Strains in Resource-Constrained DevicesCode0
Balanced End-to-End Monolingual pre-training for Low-Resourced Indic Languages Code-Switching Speech Recognition—0
Supervising the Transfer of Reasoning Patterns in VQA—0
A multi-objective perspective on jointly tuning hardware and hyperparameters—0
TASK AWARE MULTI-TASK LEARNING FOR SPEECH TO TEXT TASKS—0
Probing transfer learning with a model of synthetic correlated datasets—0
Neural Supervised Domain Adaptation by Augmenting Pre-trained Models with Random Units—0
AutoFT: Automatic Fine-Tune for Parameters Transfer Learning in Click-Through Rate Prediction—0
Low-Dimensional Structure in the Space of Language Representations is Reflected in Brain ResponsesCode0
Audiovisual transfer learning for audio tagging and sound event detection—0
Towards Deep Industrial Transfer Learning for Anomaly Detection on Time Series Data—0
Predicting the Success of Domain Adaptation in Text Similarity—0
Adaptive transfer learning—0
A Deep Value-network Based Approach for Multi-Driver Order Dispatching—0
SpaceMeshLab: Spatial Context Memoization and Meshgrid Atrous Convolution Consensus for Semantic Segmentation—0
GAN Cocktail: mixing GANs without dataset accessCode0
LAWDR: Language-Agnostic Weighted Document Representations from Pre-trained Models—0
DoubleField: Bridging the Neural Surface and Radiance Fields for High-fidelity Human Reconstruction and Rendering—0
Show:102550
← PrevPage 270 of 413Next →
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