The growing popularity of language models has sparked interest in
conver...
As online music platforms grow, music recommender systems play a vital r...
As responsible AI gains importance in machine learning algorithms, prope...
The growing utilization of machine learning (ML) in decision-making proc...
Users worldwide access massive amounts of curated data in the form of
ra...
Graph neural network (GNN) based methods have saturated the field of
rec...
Algorithmic decision making driven by neural networks has become very
pr...
Group fairness ensures that the outcome of machine learning (ML) based
d...
Machine learning (ML) has become prominent in applications that directly...
The widespread adoption of deep learning is often attributed to its auto...
A variety of approaches have been proposed to automatically infer the
pr...
Factored stochastic constraint programming (FSCP) is a formalism to repr...
As machine learning is increasingly used to make real-world decisions, r...
Recommender systems are used in variety of domains affecting people's li...
User profiling from user generated content (UGC) is a common practice th...
Statistical relational frameworks such as Markov logic networks and
prob...