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E.g. in the Gorilla paper you probably could implement their compression algorithms from what they've written there I actually don't think I understand well en

E.g. in the Gorilla paper you probably could implement their compression algorithms from what they've written there I actually don't think I understand well enough..... The high-level overviews are interesting if you plan on writing an entire similar system, or to understand pain points in an existing one you have This seems valuable as well I generally just don't know how to grok CS papers well. Thus, I can't say what value I expect to gain, if I'm always gaining zero value.

detaro 10y ago
I just remembered one of the more accessible papers I've looked at in the past, which might be interesting even if you are not familiar with the subfield (which is a big thing with reading "random" papers, context is often required): Wobbrock, J.O., Wilson, A.D. and Li, Y. (2007). Gestures without libraries, toolkits or training: A $1 recognizer for user interface prototypes. http://faculty.washington.edu/wobbrock/pubs/uist-07.01.pdf http://faculty.washington.edu/wobbrock/pubs/uist-07.01.pdf They also have a great page related to that paper with actual implementations and links to works building on it: http://depts.washington.edu/madlab/proj/dollar/index.html http://depts.washington.edu/madlab/proj/dollar/index.html (Otherwise it can be worthwhile to follow the citation chain on Google Scholar or other sites, at least with papers that are not cited by everybody) Some other ideas: There are also resources like https://blog.acolyer.org/ https://blog.acolyer.org/ where papers are presented in blog-post form, reading both the paper and the reviews might help to get an eye for what you can and can not get from them. Try to find conferences or other venues with papers from a field you know a lot about/have worked in, reading papers with understanding for the context is always easier. Many fields have "classic" papers that are often referenced and more or less required background knowledge to judge things, these are interesting to find and read as well.

detaro 10y ago

I just remembered one of the more accessible papers I've looked at in the past, which might be interesting even if you are not familiar with the subfield (which is a big thing with reading "random" papers, context is often required): Wobbrock, J.O., Wilson, A.D. and Li, Y. (2007). Gestures without libraries, toolkits or training: A $1 recognizer for user interface prototypes. http://faculty.washington.edu/wobbrock/pubs/uist-07.01.pdf http://faculty.washington.edu/wobbrock/pubs/uist-07.01.pdf They also have a great page related to that paper with actual implementations and links to works building on it: http://depts.washington.edu/madlab/proj/dollar/index.html http://depts.washington.edu/madlab/proj/dollar/index.html (Otherwise it can be worthwhile to follow the citation chain on Google Scholar or other sites, at least with papers that are not cited by everybody) Some other ideas: There are also resources like https://blog.acolyer.org/ https://blog.acolyer.org/ where papers are presented in blog-post form, reading both the paper and the reviews might help to get an eye for what you can and can not get from them. Try to find conferences or other venues with papers from a field you know a lot about/have worked in, reading papers with understanding for the context is always easier. Many fields have "classic" papers that are often referenced and more or less required background knowledge to judge things, these are interesting to find and read as well.