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Found 7 papers, 2 papers with code
Efficient Bottom-Up Synthesis for Programs with Local Variables
Our algorithm can reduce the space of programs with local variables.
Organized Event Participant Prediction Enhanced by Social Media Retweeting Data
We create a joint knowledge graph to bridge the social media and the target domain, assuming that event descriptions and tweets are written in the same language.
Causal Disentangled Variational Auto-Encoder for Preference Understanding in Recommendation
This paper introduces the Causal Disentangled Variational Auto-Encoder (CaD-VAE), a novel approach for learning causal disentangled representations from interaction data in recommender systems.
Debiasing Graph Transfer Learning via Item Semantic Clustering for Cross-Domain Recommendations
To address this data sparsity problem, cross-domain recommender systems (CDRSs) exploit the data from an auxiliary source domain to facilitate the recommendation on the sparse target domain.
A General Method for Event Detection on Social Media
Event detection on social media has attracted a number of researches, given the recent availability of large volumes of social media discussions.
Using Social Media Background to Improve Cold-start Recommendation Deep Models
In this work, our goal is to investigate whether social media background can be used as extra contextual information to improve recommendation models.
GeCo: Quality Counterfactual Explanations in Real Time
Machine learning is increasingly applied in high-stakes decision making that directly affect people's lives, and this leads to an increased demand for systems to explain their decisions.
