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 5851–5875 of 10307 papers

TitleStatusHype
TAP: The Attention Patch for Cross-Modal Knowledge Transfer from Unlabeled Modality—0
Target Aware Network Adaptation for Efficient Representation Learning—0
Targeted Attention for Generalized- and Zero-Shot Learning—0
Targeting Underrepresented Populations in Precision Medicine: A Federated Transfer Learning Approach—0
Target PCA: Transfer Learning Large Dimensional Panel Data—0
Target Speaker Lipreading by Audio-Visual Self-Distillation Pretraining and Speaker Adaptation—0
Target Transfer Q-Learning and Its Convergence Analysis—0
TartuNLP at EvaLatin 2024: Emotion Polarity Detection—0
TAS: Distilling Arbitrary Teacher and Student via a Hybrid Assistant—0
Task Adaptation of Reinforcement Learning-based NAS Agents through Transfer Learning—0
Task-Attentive Transformer Architecture for Continual Learning of Vision-and-Language Tasks Using Knowledge Distillation—0
Task-aware Adaptive Learning for Cross-domain Few-shot Learning—0
TASK AWARE MULTI-TASK LEARNING FOR SPEECH TO TEXT TASKS—0
Task-Aware Representation of Sentences for Generic Text Classification—0
Task-Driven Common Representation Learning via Bridge Neural Network—0
Task Specific Pretraining with Noisy Labels for Remote Sensing Image Segmentation—0
TATL: Task Agnostic Transfer Learning for Skin Attributes Detection—0
Taxonomy Construction of Unseen Domains via Graph-based Cross-Domain Knowledge Transfer—0
Taxy.io@FinTOC-2020: Multilingual Document Structure Extraction using Transfer Learning—0
Tchebichef Transform Domain-based Deep Learning Architecture for Image Super-resolution—0
tCURLoRA: Tensor CUR Decomposition Based Low-Rank Parameter Adaptation and Its Application in Medical Image Segmentation—0
Teacher Guided Training: An Efficient Framework for Knowledge Transfer—0
Teacher-student curriculum learning for reinforcement learning—0
Teacher-Student Network for 3D Point Cloud Anomaly Detection with Few Normal Samples—0
Teaching AI to Handle Exceptions: Supervised Fine-Tuning with Human-Aligned Judgment—0
Show:102550
← PrevPage 235 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