7 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.LG2021
CARLS: Cross-platform Asynchronous Representation Learning System
Chun-Ta Lu, Yun Zeng, Da-Cheng Juan +13
In this work, we propose CARLS, a novel framework for augmenting the capacity of existing deep learning frameworks by enabling multiple components -- model trainers, knowledge make…
cs.AI2020★ 1 cited
DynamicEmbedding: Extending TensorFlow for Colossal-Scale Applications
Yun Zeng, Siqi Zuo, Dongcai Shen
One of the limitations of deep learning models with sparse features today stems from the predefined nature of their input, which requires a dictionary be defined prior to the train…
cs.LG2019★ 7 cited
Context Aware Machine Learning
Yun Zeng
We propose a principle for exploring context in machine learning models. Starting with a simple assumption that each observation may or may not depend on its context, a conditional…