I
AM
DAVID
STUTZ
CV
ABOUT
PROJECTS
BLOG
CV
ABOUT
PROJECTS
BLOG
25
th
JUNE2020
READING NOTES
Kamil Nar, Orhan Ocal, S. Shankar Sastry, Kannan Ramchandran.
Cross-Entropy Loss Leads To Poor Margins.
https://openreview.net/forum?id=ByfbnsA9Km.
MACHINE LEARNING
More ...
23
th
JUNE2020
READING NOTES
Etai Littwin, Lior Wolf.
Regularizing by the Variance of the Activations' Sample-Variances.
NeurIPS 2018.
DEEP LEARNING
MACHINE LEARNING
More ...
18
th
JUNE2020
READING NOTES
Shivam Garg, Vatsal Sharan, Brian Hu Zhang, Gregory Valiant.
A Spectral View of Adversarially Robust Features.
NeurIPS 2018.
ADVERSARIAL MACHINE LEARNING
DEEP LEARNING
More ...
16
th
JUNE2020
READING NOTES
Nic Ford, Justin Gilmer, Nicholas Carlini, Ekin Dogus Cubuk.
Adversarial Examples Are a Natural Consequence of Test Error in Noise.
CoRR abs/1901.10513 (2019).
ADVERSARIAL MACHINE LEARNING
DEEP LEARNING
More ...
11
th
JUNE2020
READING NOTES
Laurent Dinh, Razvan Pascanu, Samy Bengio, Yoshua Bengio.
Sharp Minima Can Generalize For Deep Nets.
ICML 2017.
DEEP LEARNING
MACHINE LEARNING
More ...
09
th
JUNE2020
READING NOTES
Babajide O. Ayinde, Tamer Inanc, Jacek M. Zurada.
On Correlation of Features Extracted by Deep Neural Networks.
IJCNN 2019.
DEEP LEARNING
MACHINE LEARNING
More ...
04
th
JUNE2020
READING NOTES
Ian J. Goodfellow.
A Research Agenda: Dynamic Models to Defend Against Correlated Attacks
. CoRR abs/1903.06293 (2019).
ADVERSARIAL MACHINE LEARNING
More ...
02
nd
JUNE2020
READING NOTES
Zhilu Zhang, Mert R. Sabuncu.
Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels
. NeurIPS 2018.
DEEP LEARNING
MACHINE LEARNING
More ...
28
th
MAY2020
READING NOTES
Yuxin Wu, Kaiming He.
Group Normalization.
ECCV (13) 2018.
DEEP LEARNING
MACHINE LEARNING
More ...
26
th
MAY2020
READING NOTES
Dmitry Ulyanov, Andrea Vedaldi, Victor S. Lempitsky.
Instance Normalization: The Missing Ingredient for Fast Stylization
. CoRR abs/1607.08022 (2016)
DEEP LEARNING
MACHINE LEARNING
More ...
OLDER
SEARCH
THEBLOG
ARCHIVES
TAGS
2023 —
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
BOOTSTRAP
C
C++
CAFFE
CAREER
CMSIMPLE
COMPRESSED SENSING
COMPUTER GRAPHICS
COMPUTER VISION
CSS
CUDA
D3JS
DATA MINING
DDN ACCELERATORS
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
POSTER
PUBLICATION
PYTHON
PYTORCH
RASPBERRY PI
RASPBIAN
RECORDING
ROBOTICS
SECURITY AND PRIVACY
SEMINAR
SOCIAL NETWORKS
SOFTWARE ENGINEERING
TALK
TENSORFLOW
THEANO
THESIS
TORCH
TRUECRYPT
UBUNTU
WEB SECURITY
WORDPRESS