Zhisheng Xiao
7 papers · 2020–2024 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓
🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(14)
🐣
Hot Topic Early Bird
📈
Trend Setter
Venues
Top co-authors
Research topics
Deep Learning
(6)
Models
(6)
Architectures
(3)
Machine Learning
(2)
Learning Types
(2)
Artificial Intelligence
(1)
Computer Vision
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Core Methods
(1)
Generation
(1)
Optimization & Theory · Machine Learning
(1)
Optimization & Theory · Deep Learning
(1)
Techniques
(1)
Keywords
generative model
(5)
image generation
(2)
markov chain monte carlo
(2)
diffusion model
(2)
variational autoencoder
(2)
energy-based model
(2)
latent space
(2)
generative adversarial network
(2)
one-step generation
(2)
density ratio estimation
(1)
variational inference
(1)
noise contrastive estimation
(1)
sample quality
(1)
mode coverage
(1)
out-of-distribution detection
(1)
gan objective
(1)
fast sampling
(1)
denoising diffusion model
(1)
anomaly detection
(1)
knowledge distillation
(1)
Papers
EM Distillation for One-step Diffusion Models
NeurIPS 2024
MobileDiffusion: Instant Text-to-Image Generation on Mobile Devices
ECCV 2024
UFOGen: You Forward Once Large Scale Text-to-Image Generation via Diffusion GANs
CVPR 2024
Adaptive Multi-stage Density Ratio Estimation for Learning Latent Space Energy-based Model
NeurIPS 2022
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs
ICLR 2022
VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models
ICLR 2021
Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder
NeurIPS 2020