[Review] XNOR-Nets: ImageNet Classification Using Binary Convolutional Neural Networks
A model that binarizes both the input and convolution filters, offering the possibility of running SOTA networks on CPUs.
- read 11
- magazines 9
- study 8
- thoughts 5
- research 4
- lectures 3
- algorithm 2
- machine-learning 2
- articles 1
- papers 1
- code-generation 1
- technical 1
read
[Review] There’s No Such Thing as a General-Purpose Processor
ACM Queue, October 2018. There were, are, and will be no general purpose processors, according to the author.
[Review] Digital Nudging: Guiding Online User Choices through Interface Design
CACM, July 2018. What is chosen often depends on how the choice is presented. What are the techniques and heuristics we can exploit?
[Review] Speech Emotion Recognition: Two Decades in a Nutshell, Benchmarks, and Ongoing Trends
CACM, May 2018. How do we model emotions, and how do we recognize them from speeches? What have we achieved until now and what do we aim for the future?
[Review] Algorithms Behind Modern Storage Systems
ACM Queue March+April 2018. Technical article on the data structures and algorithms used in modern storage systems.
[Review] High Performance Synthetic Information Environments
ACM Ubiquity Symposium, February 2018. Technical article on the design of synthetic information environments.
[Review] Designing Cluster Schedulers for Internet-Scale Services
ACM Queue, Jan+Feb 2018. Technical article on cluster schedulers used in large scale data centers. How do they work, and what problems should we look out for?
[Review] Modern Javascript Explained for Dinosours
Medium, Oct 19, 2017. How did modern javascript evolve? What were their motivations of evolving?
[Review] The Internet of Things: Interaction Challenges to Meaningful Consent at Scale
ACM Interactions Nov+Dec 2017. On adopting the IoT technology, how should we be prepared in terms of giving out our information?
[Review] An Introduction to Musical Metacreation
CIE Summer 2016. Can machines create music? Three points of careful consideration are provided.
[Review] Data Science: Challenges and Directions
CACM August 2017. What is data science, and how should it change in accordance with the new wave of big data?
magazines
[Review] There’s No Such Thing as a General-Purpose Processor
ACM Queue, October 2018. There were, are, and will be no general purpose processors, according to the author.
[Review] Digital Nudging: Guiding Online User Choices through Interface Design
CACM, July 2018. What is chosen often depends on how the choice is presented. What are the techniques and heuristics we can exploit?
[Review] Speech Emotion Recognition: Two Decades in a Nutshell, Benchmarks, and Ongoing Trends
CACM, May 2018. How do we model emotions, and how do we recognize them from speeches? What have we achieved until now and what do we aim for the future?
[Review] Algorithms Behind Modern Storage Systems
ACM Queue March+April 2018. Technical article on the data structures and algorithms used in modern storage systems.
[Review] High Performance Synthetic Information Environments
ACM Ubiquity Symposium, February 2018. Technical article on the design of synthetic information environments.
[Review] Designing Cluster Schedulers for Internet-Scale Services
ACM Queue, Jan+Feb 2018. Technical article on cluster schedulers used in large scale data centers. How do they work, and what problems should we look out for?
[Review] The Internet of Things: Interaction Challenges to Meaningful Consent at Scale
ACM Interactions Nov+Dec 2017. On adopting the IoT technology, how should we be prepared in terms of giving out our information?
[Review] An Introduction to Musical Metacreation
CIE Summer 2016. Can machines create music? Three points of careful consideration are provided.
[Review] Data Science: Challenges and Directions
CACM August 2017. What is data science, and how should it change in accordance with the new wave of big data?
study
Halide: a language and compiler for image processing and deep learning
Introduction to Halide and review of several related papers. Halide aims to generate efficient domain-specific languages automatically from user-defined algo...
The autoencoder family
AE, DAE, VAE, and CVAE explained. The previous post on Bayesian statistics may help your understanding.
Bayesian Statistics, Maximum Likelihood Estimation, and Machine Learning
Some basic content I encountered while studying machine learning. A very brief explanation of prior probabilities, posterior probabilities, maximum likelihoo...
공학수학 1,2 필기 공유
Giving out handwritten notes for Engineering Mathematics 1 and 2
미적분학 1,2 필기 공유
Giving out handwritten notes for Calculus 1 and 2
GRE 공부를 시작하시는 분들께 + 강남 해커스 후기 (167/170/4.5)
제가 GRE 공부를 시작할 때 알았으면 한 정보입니다. GRE 시험 자체에 대한 내용, 제가 공부한 방법, 그리고 장점과 단점을 모두 담은 해커스 수강후기입니다.
Why is this DP?
Identifying a problem as a dynamic programming problem may be the most difficult part.
C++ tips for algorithm problem-solving
Tools, tricks, and snippets for efficiently implementing algorithms.
thoughts
Structured Slacking
A simple trick to make yourself start working.
Advisors are like GPT
There are some similarities in talking with my PhD advisor and prompting ChatGPT.
The Importance of Mentoring as a PhD Student
While mentoring is not the primary task of a PhD student, it seems to help in doing research.
On Staying Confident
Why am I sometimes confident and sometimes not?
Appending the PhD Mindset
I heard that getting a PhD is about obtaining a certain mindset. Yet, the mindset should append, not replace.
research
Advisors are like GPT
There are some similarities in talking with my PhD advisor and prompting ChatGPT.
The Importance of Mentoring as a PhD Student
While mentoring is not the primary task of a PhD student, it seems to help in doing research.
On Staying Confident
Why am I sometimes confident and sometimes not?
Appending the PhD Mindset
I heard that getting a PhD is about obtaining a certain mindset. Yet, the mindset should append, not replace.
lectures
공학수학 1,2 필기 공유
Giving out handwritten notes for Engineering Mathematics 1 and 2
미적분학 1,2 필기 공유
Giving out handwritten notes for Calculus 1 and 2
GRE 공부를 시작하시는 분들께 + 강남 해커스 후기 (167/170/4.5)
제가 GRE 공부를 시작할 때 알았으면 한 정보입니다. GRE 시험 자체에 대한 내용, 제가 공부한 방법, 그리고 장점과 단점을 모두 담은 해커스 수강후기입니다.
algorithm
Why is this DP?
Identifying a problem as a dynamic programming problem may be the most difficult part.
C++ tips for algorithm problem-solving
Tools, tricks, and snippets for efficiently implementing algorithms.
machine-learning
The autoencoder family
AE, DAE, VAE, and CVAE explained. The previous post on Bayesian statistics may help your understanding.
Bayesian Statistics, Maximum Likelihood Estimation, and Machine Learning
Some basic content I encountered while studying machine learning. A very brief explanation of prior probabilities, posterior probabilities, maximum likelihoo...
articles
[Review] Modern Javascript Explained for Dinosours
Medium, Oct 19, 2017. How did modern javascript evolve? What were their motivations of evolving?
papers
[Review] XNOR-Nets: ImageNet Classification Using Binary Convolutional Neural Networks
A model that binarizes both the input and convolution filters, offering the possibility of running SOTA networks on CPUs.
code-generation
Halide: a language and compiler for image processing and deep learning
Introduction to Halide and review of several related papers. Halide aims to generate efficient domain-specific languages automatically from user-defined algo...
technical
Using Microsoft python-type-stubs with Pyright
For better type checking and completion.