I
AM
DAVID
STUTZ
CV
ABOUT
PROJECTS
BLOG
CV
ABOUT
PROJECTS
BLOG
ARCHIVEMONTHLY»FEBRUARY2018«
FEBRUARY2018
READING NOTES
Chris J. Maddison, Andriy Mnih, Yee Whye Teh.
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables
. CoRR abs/1611.00712 (2016)
DEEP LEARNING
MACHINE LEARNING
More ...
FEBRUARY2018
READING NOTES
Eric Jang, Shixiang Gu, Ben Poole.
Categorical Reparameterization with Gumbel-Softmax
. CoRR, 2016.
DEEP LEARNING
MACHINE LEARNING
More ...
FEBRUARY2018
READING NOTES
Daniel Jiwoong Im, Sungjin Ahn, Roland Memisevic, Yoshua Bengio.
Denoising Criterion for Variational Auto-Encoding Framework
. AAAI, 2017.
DEEP LEARNING
MACHINE LEARNING
More ...
FEBRUARY2018
READING NOTES
Kihyuk Sohn, Honglak Lee, Xinchen Yan.
Learning Structured Output Representation using Deep Conditional Generative Models
. NIPS, 2015.
DEEP LEARNING
MACHINE LEARNING
More ...
FEBRUARY2018
READING NOTES
Diederik P. Kingma, Shakir Mohamed, Danilo Jimenez Rezende, Max Welling.
Semi-supervised Learning with Deep Generative Models
. NIPS, 2014.
DEEP LEARNING
MACHINE LEARNING
More ...
FEBRUARY2018
READING NOTES
Moritz Menze, Andreas Geiger.
Object scene flow for autonomous vehicles
. CVPR, 2015.
COMPUTER VISION
More ...
FEBRUARY2018
READING NOTES
Jifeng Dai, Kaiming He, Jian Sun.
Convolutional feature masking for joint object and stuff segmentation
. CVPR, 2015.
COMPUTER VISION
DEEP LEARNING
More ...
FEBRUARY2018
READING NOTES
Jonas Uhrig, Marius Cordts, Uwe Franke, Thomas Brox.
Pixel-Level Encoding and Depth Layering for Instance-Level Semantic Labeling
. GCPR, 2016.
COMPUTER VISION
DEEP LEARNING
More ...
FEBRUARY2018
READING NOTES
Jifeng Dai, Kaiming He, Jian Sun.
Instance-Aware Semantic Segmentation via Multi-task Network Cascades
. CVPR. 2016.
More ...
FEBRUARY2018
READING NOTES
Elad Hoffer, Itay Hubara, Nir Ailon.
Deep unsupervised learning through spatial contrasting
. CoRR abs/1610.00243, 2016.
COMPUTER VISION
DEEP LEARNING
More ...
OLDER
SEARCH
THEBLOG
ARCHIVES
TAGS
2023 —
SEPTEMBER
JULY
JUNE
MAY
APRIL
MARCH
FEBRUARY
JANUARY
2022 —
NOVEMBER
OCTOBER
SEPTEMBER
AUGUST
2021 —
DECEMBER
NOVEMBER
OCTOBER
JULY
JUNE
MAY
APRIL
JANUARY
2020 —
NOVEMBER
AUGUST
JULY
JUNE
MAY
APRIL
MARCH
FEBRUARY
JANUARY
2019 —
DECEMBER
NOVEMBER
OCTOBER
SEPTEMBER
AUGUST
JULY
JUNE
APRIL
MARCH
FEBRUARY
JANUARY
2018 —
DECEMBER
OCTOBER
SEPTEMBER
AUGUST
JULY
JUNE
MAY
APRIL
MARCH
FEBRUARY
JANUARY
2017 —
DECEMBER
OCTOBER
SEPTEMBER
JULY
JUNE
MAY
APRIL
MARCH
FEBRUARY
JANUARY
2016 —
DECEMBER
NOVEMBER
OCTOBER
SEPTEMBER
AUGUST
JULY
JUNE
MAY
APRIL
FEBRUARY
JANUARY
2015 —
NOVEMBER
OCTOBER
JULY
JUNE
MAY
APRIL
MARCH
FEBRUARY
JANUARY
2014 —
DECEMBER
NOVEMBER
OCTOBER
AUGUST
JULY
JUNE
MAY
APRIL
MARCH
2013 —
DECEMBER
NOVEMBER
OCTOBER
ACADEMIA
ADVERSARIAL MACHINE LEARNING
ARTIFICIAL INTELLIGENCE
BASH
BLENDER
C
C++
CAFFE
CAREER
CMSIMPLE
COMPRESSED SENSING
COMPUTER GRAPHICS
COMPUTER VISION
CSS
CUDA
D3JS
DATA MINING
DEEP LEARNING
DNN ACCELERATORS
GAME THEORY
HAIKU
IMAGE PROCESSING
JAVASCRIPT
JAX
JQUERY
KOHANA
LATEX
LUA
MACHINE LEARNING
MATHEMATICS
MATLAB
MEDICAL IMAGE PROCESSING
NATURAL LANGUAGE PROCESSING
NUMERICAL ANALYSIS
OPENCV
OPTIMIZATION
PHP
PODCAST
POSTER
PRODUCT
PUBLICATION
PYTHON
PYTORCH
RASPBERRY PI
RASPBIAN
RECORDING
ROBOTICS
SECURITY AND PRIVACY
SEMINAR
SOCIAL NETWORKS
SOFTWARE ENGINEERING
STATISTICS
TALK
TENSORFLOW
THEANO
THESIS
TORCH
TRUECRYPT
TWITTER BOOTSTRAP
UBUNTU
UNCERTAINTY ESTIMATION
WEB SECURITY
WORDPRESS