SOTAVerified

Transductive Learning

In this setting, both a labeled training sample and an (unlabeled) test sample are provided at training time. The goal is to predict only the labels of the given test instances as accurately as possible.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 76–100 of 135 papers

TitleStatusHype
Hypergraph Pre-training with Graph Neural Networks—0
Transductive Learning for Abstractive News Summarization—0
Uniting Heterogeneity, Inductiveness, and Efficiency for Graph Representation Learning—0
Learning Graph Neural Networks with Positive and Unlabeled Nodes—0
Fast Few-Shot Classification by Few-Iteration Meta-LearningCode0
Tailoring: encoding inductive biases by optimizing unsupervised objectives at prediction time—0
Robust Collective Classification against Structural Attacks—0
Beyond Perturbations: Learning Guarantees with Arbitrary Adversarial Test Examples—0
Automatic Organization of Neural Modules for Enhanced Collaboration in Neural Networks—0
Predicting Strategic Behavior from Free TextCode0
Graph-based Interpolation of Feature Vectors for Accurate Few-Shot ClassificationCode0
Node Masking: Making Graph Neural Networks Generalize and Scale Better—0
Robust Multi-Output Learning with Highly Incomplete Data via Restricted Boltzmann Machines—0
Polynomial Matrix Completion for Missing Data Imputation and Transductive Learning—0
Transductive Learning of Neural Language Models for Syntactic and Semantic Analysis—0
Transductive Learning for Zero-Shot Object Detection—0
Characterize and Transfer Attention in Graph Neural Networks—0
Generating Accurate Pseudo-labels in Semi-Supervised Learning and Avoiding Overconfident Predictions via Hermite Polynomial ActivationsCode0
HONEM: Learning Embedding for Higher Order Networks—0
Learning to learn via Self-CritiqueCode0
Label Propagation for Deep Semi-supervised LearningCode0
f-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning—0
Data Selection with Feature Decay Algorithms Using an Approximated Target Side—0
Transductive Learning with String Kernels for Cross-Domain Text Classification—0
Cross-domain aspect extraction for sentiment analysis: a transductive learning approach—0
Show:102550
← PrevPage 4 of 6Next →

No leaderboard results yet.