3 papers
cs.LG2024★ 5 cited
Unleashing the Power of Multi-Task Learning: A Comprehensive Survey Spanning Traditional, Deep, and Pretrained Foundation Model Eras
Jun Yu, Yutong Dai, Xiaokang Liu +14
MTL is a learning paradigm that effectively leverages both task-specific and shared information to address multiple related tasks simultaneously. In contrast to STL, MTL offers a s…
physics.class-ph2016
Thermodynamics of static: Observers in Gibbs paradox
Liangsuo Shu, Xiaokang Liu, Suyi Huang +1
In this work, Gibbs paradox was discussed from the view of observer. The limitations of real observer are analyzed quantitatively. The entropy of mixing was found to be determined…
physics.class-ph2016
Carnot's theorem and Szilárd engine
Liangsuo Shu, Xiaokang Liu, Suyi Huang +1
In this work, the relationship between Carnot engine and Szilárd engine was discussed. By defining the available information about the temperature difference between two heat reser…