Yulai Cong
9 papers · 2015–2024 · 5 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (25) π Interdisciplinary Bridge π Conference Polyglot (5)
π
Academic Marathon
(9)
π
Cross-Pollinator
(12)
π
Renaissance Researcher
(5)
π
Grand Slam
π§¬
Topic Evolution
Conferences
AAAI (3)
ICML (2)
NIPS (2)
ICLR (1)
JMLR (1)
Top co-authors
Keywords
image generation
(2)
generative adversarial network
(2)
generative model
(2)
bayesian inference
(2)
gibbs sampling
(2)
feature learning
(1)
adversarial learning
(1)
stochastic gradient
(1)
feature extraction
(1)
transfer learning
(1)
catastrophic forgetting
(1)
latent dirichlet allocation
(1)
data augmentation
(1)
expectation maximization
(1)
variational inference
(1)
fisher information
(1)
maximum likelihood
(1)
hierarchical model
(1)
mcmc sampling
(1)
continual learning
(1)
Papers
Big Learning Expectation Maximization
AAAI 2024
GO Hessian for Expectation-Based Objectives
AAAI 2021
Bridging Maximum Likelihood and Adversarial Learning via Ξ±-Divergence
AAAI 2020
On Leveraging Pretrained GANs for Generation with Limited Data
ICML 2020
GAN Memory with No Forgetting
NIPS 2020
GO Gradient for Expectation-Based Objectives
ICLR 2019
Deep Latent Dirichlet Allocation with Topic-Layer-Adaptive Stochastic Gradient Riemannian MCMC
ICML 2017
Augmentable Gamma Belief Networks
JMLR 2016
The Poisson Gamma Belief Network
NIPS 2015