Yulai Cong
9 papers · 2015–2024 · 5 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (26) 🐣 Hot Topic Early Bird 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🌍 Conference Polyglot · Silver
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Topic Evolution
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Grand Slam
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Keyword Collector
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Venues
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Research topics
Machine Learning
(8)
Optimization & Theory
(6)
Deep Learning
(4)
Models
(4)
Artificial Intelligence
(3)
Mathematics & Optimization
(3)
Core Methods
(3)
Learning Types · Deep Learning
(3)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Learning Types · Machine Learning
(2)
Optimization
(2)
Computer Vision
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Generation
(1)
Learning Paradigms
(1)
Keywords
image generation
(2)
generative adversarial network
(2)
expectation-based objective
(2)
bayesian inference
(2)
generative model
(2)
gibbs sampling
(2)
feature learning
(1)
adversarial learning
(1)
stochastic gradient
(1)
feature extraction
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transfer learning
(1)
latent dirichlet allocation
(1)
data augmentation
(1)
topic modeling
(1)
catastrophic forgetting
(1)
fisher information
(1)
variational inference
(1)
maximum likelihood
(1)
hierarchical model
(1)
expectation maximization
(1)
Papers
Big Learning Expectation Maximization
AAAI 2024
GO Hessian for Expectation-Based Objectives
AAAI 2021
Bridging Maximum Likelihood and Adversarial Learning via α-Divergence
AAAI 2020
GAN Memory with No Forgetting
NeurIPS 2020
On Leveraging Pretrained GANs for Generation with Limited Data
ICML 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
NeurIPS 2015