Yunchen Pu
12 papers · 2016–2019 · 8 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+6 more ↓ Show less ↑
π Cross-Pollinator (8) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (8) π Renaissance Researcher (6)
π
Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(40)
π±
Topic Pioneer
π
Century Club
(12)
ποΈ
Keyword Collector
(73)
π
Conference Pioneer
Conferences
AISTATS (3)
CVPR (2)
ICML (2)
AAAI (1)
ACL (1)
EMNLP (1)
ICCV (1)
NIPS (1)
Top co-authors
Keywords
convolutional neural network
(3)
generative model
(2)
dictionary learning
(2)
adversarial learning
(2)
image classification
(2)
image generation
(2)
weight uncertainty
(2)
variational autoencoder
(2)
stochastic gradient markov chain monte carlo
(2)
stochastic gradient mcmc
(2)
recurrent neural network
(2)
long short-term memory
(2)
language modeling
(1)
video captioning
(1)
density estimation
(1)
compressive sensing
(1)
semi-supervised learning
(1)
bayesian inference
(1)
posterior sampling
(1)
bayesian learning
(1)
Papers
Communication-Efficient Stochastic Gradient MCMC for Neural Networks
AAAI 2019
l-Net: Reconstruct Hyperspectral Images From a Snapshot Measurement
ICCV 2019
Symmetric Variational Autoencoder and Connections to Adversarial Learning
AISTATS 2018
JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets
ICML 2018
Continuous-Time Flows for Efficient Inference and Density Estimation
ICML 2018
Learning Generic Sentence Representations Using Convolutional Neural Networks
EMNLP 2017
Tensor-Dictionary Learning with Deep Kruskal-Factor Analysis
AISTATS 2017
Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling
ACL 2017
Semantic Compositional Networks for Visual Captioning
CVPR 2017
Learning Weight Uncertainty With Stochastic Gradient MCMC for Shape Classification
CVPR 2016
A Deep Generative Deconvolutional Image Model
AISTATS 2016
Variational Autoencoder for Deep Learning of Images, Labels and Captions
NIPS 2016