55 citations · 124 across the 12 of their papers we have counts for
4 papers · 1 filter
Big Cooperative Learning
Yulai Cong
Cooperation plays a pivotal role in the evolution of human intelligence; moreover, it also underlies the recent revolutionary advancement of artificial intelligence (AI) that is dr…
Big Learning
Yulai Cong, Miaoyun Zhao
Recent advances in big/foundation models reveal a promising path for deep learning, where the roadmap steadily moves from big data to big models to (the newly-introduced) big learn…
Bridging Maximum Likelihood and Adversarial Learning via -Divergence
Miaoyun Zhao, Yulai Cong, Shuyang Dai +1
Maximum likelihood (ML) and adversarial learning are two popular approaches for training generative models, and from many perspectives these techniques are complementary. ML learni…
Deep Autoencoding Topic Model with Scalable Hybrid Bayesian Inference
Hao Zhang, Bo Chen, Yulai Cong +3
To build a flexible and interpretable model for document analysis, we develop deep autoencoding topic model (DATM) that uses a hierarchy of gamma distributions to construct its mul…