[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.
A model that binarizes both the input and convolution filters, offering the possibility of running SOTA networks on CPUs.
ACM Queue, October 2018. There were, are, and will be no general purpose processors, according to the author.
CACM, July 2018. What is chosen often depends on how the choice is presented. What are the techniques and heuristics we can exploit?
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?
ACM Queue March+April 2018. Technical article on the data structures and algorithms used in modern storage systems.
ACM Ubiquity Symposium, February 2018. Technical article on the design of synthetic information environments.
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?
Medium, Oct 19, 2017. How did modern javascript evolve? What were their motivations of evolving?
ACM Interactions Nov+Dec 2017. On adopting the IoT technology, how should we be prepared in terms of giving out our information?
CIE Summer 2016. Can machines create music? Three points of careful consideration are provided.
CACM August 2017. What is data science, and how should it change in accordance with the new wave of big data?
ACM Queue, October 2018. There were, are, and will be no general purpose processors, according to the author.
CACM, July 2018. What is chosen often depends on how the choice is presented. What are the techniques and heuristics we can exploit?
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?
ACM Queue March+April 2018. Technical article on the data structures and algorithms used in modern storage systems.
ACM Ubiquity Symposium, February 2018. Technical article on the design of synthetic information environments.
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?
ACM Interactions Nov+Dec 2017. On adopting the IoT technology, how should we be prepared in terms of giving out our information?
CIE Summer 2016. Can machines create music? Three points of careful consideration are provided.
CACM August 2017. What is data science, and how should it change in accordance with the new wave of big data?
Introduction to Halide and review of several related papers. Halide aims to generate efficient domain-specific languages automatically from user-defined algo...
AE, DAE, VAE, and CVAE explained. The previous post on Bayesian statistics may help your understanding.
Some basic content I encountered while studying machine learning. A very brief explanation of prior probabilities, posterior probabilities, maximum likelihoo...
Giving out handwritten notes for Engineering Mathematics 1 and 2
Giving out handwritten notes for Calculus 1 and 2
제가 GRE 공부를 시작할 때 알았으면 한 정보입니다. GRE 시험 자체에 대한 내용, 제가 공부한 방법, 그리고 장점과 단점을 모두 담은 해커스 수강후기입니다.
Identifying a problem as a dynamic programming problem may be the most difficult part.
Tools, tricks, and snippets for efficiently implementing algorithms.
Giving out handwritten notes for Engineering Mathematics 1 and 2
Giving out handwritten notes for Calculus 1 and 2
제가 GRE 공부를 시작할 때 알았으면 한 정보입니다. GRE 시험 자체에 대한 내용, 제가 공부한 방법, 그리고 장점과 단점을 모두 담은 해커스 수강후기입니다.
While mentoring is not the primary task of a PhD student, it seems to help in doing research.
Why am I sometimes confident and sometimes not?
I heard that getting a PhD is about obtaining a certain mindset. Yet, the mindset should append, not replace.
While mentoring is not the primary task of a PhD student, it seems to help in doing research.
Why am I sometimes confident and sometimes not?
I heard that getting a PhD is about obtaining a certain mindset. Yet, the mindset should append, not replace.
Identifying a problem as a dynamic programming problem may be the most difficult part.
Tools, tricks, and snippets for efficiently implementing algorithms.
AE, DAE, VAE, and CVAE explained. The previous post on Bayesian statistics may help your understanding.
Some basic content I encountered while studying machine learning. A very brief explanation of prior probabilities, posterior probabilities, maximum likelihoo...
Medium, Oct 19, 2017. How did modern javascript evolve? What were their motivations of evolving?
A model that binarizes both the input and convolution filters, offering the possibility of running SOTA networks on CPUs.
Introduction to Halide and review of several related papers. Halide aims to generate efficient domain-specific languages automatically from user-defined algo...