This paper introduces the Fair Fairness Benchmark (), a
benchmarking fra...
This paper presents a comprehensive and practical guide for practitioner...
Recent advancements in large language models (LLMs) have led to the
deve...
Training graph neural networks (GNNs) on large graphs is complex and
ext...
Physics-informed neural networks (PINNs) are revolutionizing science and...
Multi-camera tracking systems are gaining popularity in applications tha...
There is a surge of interest in image scene graph generation (object,
at...
Realistic recommender systems are often required to adapt to ever-changi...
Recently, recommender systems play a pivotal role in alleviating the pro...