Adaptive Inference: Theoretical Limits and Unexplored Opportunities

no code implementations • 6 Feb 2024 • Soheil Hor, Ying Qian, Mert Pilanci, Amin Arbabian

This paper introduces the first theoretical framework for quantifying the efficiency and performance gain opportunity size of adaptive inference algorithms.

CasCIFF: A Cross-Domain Information Fusion Framework Tailored for Cascade Prediction in Social Networks

1 code implementation • 9 Aug 2023 • Hongjun Zhu, Shun Yuan, Xin Liu, Kuo Chen, Chaolong Jia, Ying Qian

Existing approaches for information cascade prediction fall into three main categories: feature-driven methods, point process-based methods, and deep learning-based methods.

Multi-Task Learning