5 citations · 6 across the 4 of their papers we have counts for
4 papers
MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention
MiniMax, :, Aili Chen +125
We introduce MiniMax-M1, the world's first open-weight, large-scale hybrid-attention reasoning model. MiniMax-M1 is powered by a hybrid Mixture-of-Experts (MoE) architecture combin…
CAMs as Shapley Value-based Explainers
Huaiguang Cai
Class Activation Mapping (CAM) methods are widely used to visualize neural network decisions, yet their underlying mechanisms remain incompletely understood. To enhance the underst…
CHG Shapley: Efficient Data Valuation and Selection towards Trustworthy Machine Learning
Huaiguang Cai
Understanding the decision-making process of machine learning models is crucial for ensuring trustworthy machine learning. Data Shapley, a landmark study on data valuation, advance…
Online Resource Allocation for Edge Intelligence with Colocated Model Retraining and Inference
Huaiguang Cai, Zhi Zhou, Qianyi Huang
With edge intelligence, AI models are increasingly pushed to the edge to serve ubiquitous users. However, due to the drift of model, data, and task, AI model deployed at the edge s…