14 citations · 16 across the 4 of their papers we have counts for
4 papers
LPM 1.0: Video-based Character Performance Model
Ailing Zeng, Casper Yang, Chauncey Ge +22
Performance, the externalization of intent, emotion, and personality through visual, vocal, and temporal behavior, is what makes a character alive. Learning such performance from v…
Position: Lifetime tuning is incompatible with continual reinforcement learning
Golnaz Mesbahi, Parham Mohammad Panahi, Olya Mastikhina +3
In continual RL we want agents capable of never-ending learning, and yet our evaluation methodologies do not reflect this. The standard practice in RL is to assume unfettered acces…
CachePerf: A Unified Cache Miss Classifier via Hybrid Hardware Sampling
Jin Zhou, Steven, Tang +2
The cache plays a key role in determining the performance of applications, no matter for sequential or concurrent programs on homogeneous and heterogeneous architecture. Fixing cac…
Modelling Student Behavior using Granular Large Scale Action Data from a MOOC
Steven Tang, Joshua C. Peterson, Zachary A. Pardos
Digital learning environments generate a precise record of the actions learners take as they interact with learning materials and complete exercises towards comprehension. With thi…