3 citations · 3 across the 1 of their papers we have counts for
2 papers
cs.AI2026
Inverse Theory of Mind Modeling for Content Recommendation: From Web Browsing to Dynamic Intelligent Interfaces
Mengyu Chen, Feiyu Lu, Chun-Fu Chen +2
Modern recommender systems treat observed actions as reliable proxies for user preferences, yet interactions often reflect exploration or comparison rather than stable preference e…
cs.LG2022★ 3 cited
Learning Compressed Embeddings for On-Device Inference
Niketan Pansare, Jay Katukuri, Aditya Arora +4
In deep learning, embeddings are widely used to represent categorical entities such as words, apps, and movies. An embedding layer maps each entity to a unique vector, causing the…