1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2025
Large Language Models as Computable Approximations to Solomonoff Induction
Jun Wan, Lingrui Mei
The rapid advancement of large language models (LLMs) calls for a rigorous theoretical framework to explain their empirical success. While significant progress has been made in und…
cs.CV2024★ 1 cited
PVLR: Prompt-driven Visual-Linguistic Representation Learning for Multi-Label Image Recognition
Hao Tan, Zichang Tan, Jun Li +2
Multi-label image recognition is a fundamental task in computer vision. Recently, vision-language models have made notable advancements in this area. However, previous methods ofte…
cs.CV2023
General vs. Long-Tailed Age Estimation: An Approach to Kill Two Birds with One Stone
Zenghao Bao, Zichang Tan, Jun Li +3
Facial age estimation has received a lot of attention for its diverse application scenarios. Most existing studies treat each sample equally and aim to reduce the average estimatio…