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TopNewBestAskShowJobs
TopNewBestAskShowJobs
1.
Show HN: Exemplar Networks for a Good Time (NSFW)
3 points
driftwheeler
9 years ago
1 comment
2.
Why do some Chinese steal IP from other nations?
2 points
aarongray
6 years ago
3 comments
3.
Show HN: Online Tournament for the Prisoner's Dilemma (programming challenge) (trust-trials.codewalkers.net)
1 point
mattw2121
2 years ago
discuss
4.
What is the role of GFS master during read and write operations?
1 point
shivajikobardan
4 years ago
discuss
5.
"A Free Digital Society": Stallman talk at Stanford, 4/30, open to the public
1 point
endtime
16 years ago
discuss
6.
Don Knuth plays with ChatGPT (cs.stanford.edu)
927 points
talonx
3 years ago
622 comments
7.
Doing well in your courses: Andrej's advice for success (2013) (cs.stanford.edu)
680 points
peterkshultz
8 months ago
198 comments
8.
Tidal energy is not renewable (cs.stanford.edu)
406 points
wyozi
3 years ago
326 comments
9.
Neural Networks That Describe Images (cs.stanford.edu)
357 points
vpanyam
12 years ago
60 comments
10.
Controllable Video Sprites That Appear Like Professional Tennis Players (cs.stanford.edu)
340 points
tosh
6 years ago
75 comments
11.
Classical data structures that can outperform learned indexes (2018) (dawn.cs.stanford.edu)
252 points
signa11
5 years ago
39 comments
12.
BLAS-level CPU Performance in 100 Lines of C (cs.stanford.edu)
216 points
henning
4 years ago
62 comments
13.
DAWN: Tools for AI and Data Product Development (dawn.cs.stanford.edu)
215 points
indescions_2017
8 years ago
14 comments
14.
Don Knuth letter about libraries increasingly unable to afford prices (2003) [pdf] (cs.stanford.edu)
190 points
kbradero
2 years ago
100 comments
15.
From Laptop to Lambda: Outsourcing Everyday Jobs to Thousands of Containers [pdf] (www-cs.stanford.edu)
185 points
ingve
7 years ago
18 comments
16.
Knuth versus Email (1999) (cs.stanford.edu)
164 points
joshuacc
10 years ago
128 comments
17.
Classical Data Structures That Can Outperform Learned Indexes (dawn.cs.stanford.edu)
139 points
chmaynard
8 years ago
20 comments
18.
A Tutorial on Deep Learning Part 2: Autoencoders, CNNs and RNNs [pdf] (www-cs.stanford.edu)
133 points
tim_sw
11 years ago
4 comments
19.
Knuth on ChatGPT (2023) (cs.stanford.edu)
125 points
b-man
10 months ago
47 comments
20.
HALP: High-Accuracy Low-Precision Training (dawn.cs.stanford.edu)
103 points
chmaynard
8 years ago
11 comments
21.
NIPS 2014 papers (cs.stanford.edu)
90 points
lebek
12 years ago
14 comments
22.
Filter Before You Parse: Faster Analytics on Raw Data with Sparser (dawn.cs.stanford.edu)
86 points
bandwitch
8 years ago
14 comments
23.
The IT Productivity Paradox (2015) (cs.stanford.edu)
80 points
chiffre01
2 years ago
55 comments
24.
Research as a Stochastic Decision Process (cs.stanford.edu)
76 points
benwr
7 years ago
7 comments
25.
Translating a Visual Lego Manual to a Machine-Executable Plan (cs.stanford.edu)
75 points
nl
4 years ago
27 comments
26.
Stratified Synthesis: Automatically Learning the x86-64 Instruction Set (2016) [pdf] (cs.stanford.edu)
74 points
todsacerdoti
4 years ago
7 comments
27.
Implementing a Fast Research Compiler in Rust (dawn.cs.stanford.edu)
72 points
fabuzaid
9 years ago
3 comments
28.
Larry Lessig's theory: our society is governed by four forces (2011) (cs.stanford.edu)
66 points
janandonly
3 years ago
45 comments
29.
A History of Capacity Challenges in Computer Science [pdf] (cs.stanford.edu)
66 points
luu
8 years ago
5 comments
30.
ConvNetJS Deep Q Learning Demo (2013) (cs.stanford.edu)
64 points
eigenvalue
3 years ago
27 comments
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