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Found 6 papers, 2 papers with code
Knowledge-based Refinement of Scientific Publication Knowledge Graphs
We consider the problem of identifying authorship by posing it as a knowledge graph construction and refinement.
User Friendly Automatic Construction of Background Knowledge: Mode Construction from ER Diagrams
One of the key advantages of Inductive Logic Programming systems is the ability of the domain experts to provide background knowledge as modes that allow for efficient search through the space of hypotheses.
Sub-Task Discovery with Limited Supervision: A Constrained Clustering Approach
Hierarchical reinforcement learning captures sub-task information to learn modular policies that can be quickly adapted to new tasks.
Constrained Clustering
Hierarchical Reinforcement Learning
+2
Multi-class Classification without Multi-class Labels
This work presents a new strategy for multi-class classification that requires no class-specific labels, but instead leverages pairwise similarity between examples, which is a weaker form of annotation.
A probabilistic constrained clustering for transfer learning and image category discovery
The proposed objective directly minimizes the negative log-likelihood of cluster assignment with respect to the pairwise constraints, has no hyper-parameters, and demonstrates improved scalability and performance on both supervised learning and unsupervised transfer learning.
Ranked #1 on
Ecg Risk Stratification
on ngm
Preference-Guided Planning: An Active Elicitation Approach
Planning with preferences has been employed extensively to quickly generate high-quality plans.
