3 papers
cs.LG2026
"Noisier" Noise Contrastive Eestimation is (Almost) Maximum Likelihood
Peiyu Yu, Dinghuai Zhang, Hengzhi He +10
Noise Contrastive Estimation (NCE) has fueled major breakthroughs in representation learning and generative modeling. Yet a long-standing challenge remains: accurately estimating r…
cs.LG2025
Optimizing the Unknown: Black Box Bayesian Optimization with Energy-Based Model and Reinforcement Learning
Ruiyao Miao, Junren Xiao, Shiya Tsang +2
Existing Bayesian Optimization (BO) methods typically balance exploration and exploitation to optimize costly objective functions. However, these methods often suffer from a signif…
cs.HC2025
AnimAlte:Designing AI-Infused Cartoon Videos to Improve Preschoolers' Language Learning with Family Engagement at Home
Shiya Tsang, Ruiyao Miao, Junren Xiao +1
Cartoon videos have proven to be effective in learning vocabulary to preschool children.However, we have little knowledge about integrating AI into cartoon videos to provide system…