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Transfer Learning

8,078 papers

Papers per year

Papers

Self-Supervised Knowledge Transfer via Loosely Supervised Auxiliary Tasks WACV 2022
Dataset Knowledge Transfer for Class-Incremental Learning Without Memory WACV 2022
Unsupervised Learning for Human Sensing Using Radio Signals WACV 2022
Joint Classification and Trajectory Regression of Online Handwriting Using a Multi-Task Learning Approach WACV 2022
Cleaning Noisy Labels by Negative Ensemble Learning for Source-Free Unsupervised Domain Adaptation WACV 2022
Adversarial Branch Architecture Search for Unsupervised Domain Adaptation WACV 2022
Bayesian Adaptation for Covariate Shift NIPS 2021
Distilling Image Classifiers in Object Detectors NIPS 2021
KS-GNN: Keywords Search over Incomplete Graphs via Graphs Neural Network NIPS 2021
Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization NIPS 2021
INDIGO: GNN-Based Inductive Knowledge Graph Completion Using Pair-Wise Encoding NIPS 2021
Deep inference of latent dynamics with spatio-temporal super-resolution using selective backpropagation through time NIPS 2021
Test-Time Personalization with a Transformer for Human Pose Estimation NIPS 2021
Pay Better Attention to Attention: Head Selection in Multilingual and Multi-Domain Sequence Modeling NIPS 2021
Confident Anchor-Induced Multi-Source Free Domain Adaptation NIPS 2021
UCB-based Algorithms for Multinomial Logistic Regression Bandits NIPS 2021
Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data NIPS 2021
Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data NIPS 2021
Mixed Supervised Object Detection by Transferring Mask Prior and Semantic Similarity NIPS 2021
Understanding Partial Multi-Label Learning via Mutual Information NIPS 2021
Diverse Message Passing for Attribute with Heterophily NIPS 2021
Representation Learning Beyond Linear Prediction Functions NIPS 2021
Domain Invariant Representation Learning with Domain Density Transformations NIPS 2021
Imitation with Neural Density Models NIPS 2021
Generalization of Model-Agnostic Meta-Learning Algorithms: Recurring and Unseen Tasks NIPS 2021