BAULAB.INFO: Keyword Density Checker

Total words: 12483 | 2-word phrases: 3319 | 3-word phrases: 3840 | 4-word phrases: 3945

PAGE INFO

Title	Try to keep the title under 60 characters (38 characters) David Bau: Interpretable Deep Networks
Description	Try to keep the meta description between 50 - 160 characters (189 characters) Specializing in the analysis and control of the internal computations of deep generative models for images and text, David Bau is a leading researcher in interpretable deep network methods.
Keywords	Meta keywords are not recommended anymore (0 characters)
H1	H1 tag on the page (9 characters) David Bau

ONE WORD PHRASES 1379 Words

#	Keyword	Frequency	Density
1	the	175	12.69%
2	a	156	11.31%
3	of	125	9.06%
4	to	116	8.41%
5	and	110	7.98%
6	that	65	4.71%
7	in	63	4.57%
8	we	53	3.84%
9	is	42	3.05%
10	for	37	2.68%

TWO WORD PHRASES 3319 Words

#	Keyword	Frequency	Density
1	of the	27	0.81%
2	do? a	26	0.78%
3	d a	26	0.78%
4	d bau	22	0.66%
5	at a	17	0.51%
6	of a	17	0.51%
7	of ai?	17	0.51%
8	in a	15	0.45%
9	on a	14	0.42%
10	is a	13	0.39%
11	to a	13	0.39%
12	diffusion model	12	0.36%
13	in the	12	0.36%
14	and a	11	0.33%
15	that a	10	0.30%
16	l n	10	0.30%
17	a gan	10	0.30%
18	deep network	10	0.30%
19	as a	10	0.30%
20	in this	9	0.27%

THREE WORD PHRASES 3840 Words

#	Keyword	Frequency	Density
1	we find that	6	0.16%
2	in diffusion model	5	0.13%
3	in this work	4	0.10%
4	this work we	4	0.10%
5	and interpretation of	4	0.10%
6	in this paper	4	0.10%
7	this paper we	4	0.10%
8	what a gan	4	0.10%
9	in diffusion models	4	0.10%
10	and we show	3	0.08%
11	of deep network	3	0.08%
12	of a gan	3	0.08%
13	corresponds to a	3	0.08%
14	interpretation of deep	3	0.08%
15	unified concept editing	3	0.08%
16	find that a	3	0.08%
17	so that they	3	0.08%
18	from diffusion models	3	0.08%
19	explanations so that	3	0.08%
20	b zhou a	3	0.08%
21	the role of	3	0.08%
22	concepts from diffusion	3	0.08%
23	d bau j	3	0.08%
24	and shows that	3	0.08%
25	of individual units	3	0.08%
26	deep neural network	3	0.08%
27	in a deep	3	0.08%
28	role of individual	3	0.08%
29	a gan can	3	0.08%
30	a gan a	3	0.08%

FOUR WORD PHRASES 3945 Words

#	Keyword	Frequency	Density
1	in this paper we	4	0.10%
2	in this work we	4	0.10%
3	explanations so that they	3	0.08%
4	and interpretation of deep	3	0.08%
5	role of individual units	3	0.08%
6	what a gan can	3	0.08%
7	concepts from diffusion models	3	0.08%
8	jy zhu a torralba	2	0.05%
9	the role of individual	2	0.05%
10	erasing concepts from diffusion	2	0.05%
11	so that they know	2	0.05%
12	seeing what a gan	2	0.05%
13	what a gan cannot	2	0.05%
14	model weights to erase	2	0.05%
15	of a gan and	2	0.05%
16	interpretation of deep networks	2	0.05%
17	of individual units in	2	0.05%
18	units in a deep	2	0.05%
19	individual units in a	2	0.05%
20	communications of the acm	2	0.05%
21	in a deep neural	2	0.05%
22	a deep neural network	2	0.05%
23	a small set of	2	0.05%
24	that factual knowledge within	2	0.05%
25	show that factual knowledge	2	0.05%
26	factual associations in gpt	2	0.05%
27	we find that a	2	0.05%
28	editing in diffusion models	2	0.05%
29	concept editing in diffusion	2	0.05%
30	unified concept editing in	2	0.05%
31	finetuning enhances existing mechanisms	2	0.05%
32	d bau jy zhu	2	0.05%
33	want explanations so that	2	0.05%
34	structure and interpretation of	2	0.05%
35	a gan cannot generate	2	0.05%
36	find that a stateoftheart	2	0.05%
37	a deep generative model	2	0.05%
38	linearity of relation decoding	2	0.05%
39	of relation decoding in	2	0.05%
40	that a stateoftheart gan	2	0.05%

EXTERNAL LINKS

#	URL	Whois	Check
1	https://ndif.us/fellowship.html	Whois	ndif.us
2	http://dissection.csail.mit.edu/	Whois	mit.edu
3	http://dblp.uni-trier.de/pers/hd/b/Bau:David	Whois	uni-trier.de
4	https://scholar.google.com/citations?hl=en&user=CYI6cKgAAAAJ&view_op=list_works&sortby=pubdate	Whois	google.com
5	https://whereis.mit.edu/?zoom=16&lat=42.361612839999985&lng=-71.09056785999995&maptype=mit&q=32-383&open=object-32	Whois	mit.edu
6	https://mega002.github.io/	Whois	github.io
7	https://www.bewitched.com/	Whois	bewitched.com
8	https://colah.github.io/about.html	Whois	github.io
9	https://www.thilo-hagendorff.info/	Whois	thilo-hagendorff.info
10	https://cims.nyu.edu/~sbowman/	Whois	nyu.edu
11	https://www.oii.ox.ac.uk/people/profiles/sandra-wachter/	Whois	ac.uk
12	https://andyzoujm.github.io/	Whois	github.io
13	https://peterbhase.github.io/	Whois	github.io
14	https://likenneth.github.io/	Whois	github.io
15	https://www.jasonwei.net/	Whois	jasonwei.net
16	https://www.milesturp.in/about/	Whois	milesturp.in
17	https://mengk.me/	Whois	mengk.me
18	https://www.cs.toronto.edu/~rgrosse/	Whois	toronto.edu
19	https://ndif.us/	Whois	ndif.us
20	https://ndif.us/	Whois	ndif.us
21	https://pypi.org/project/nnsight/	Whois	pypi.org
22	https://nnsight.net/status	Whois	nnsight.net
23	https://www.linkedin.com/feed/update/urn:li:activity:7197729186701004800/	Whois	linkedin.com
24	https://x.com/davidbau/status/1787597395741835564	Whois	x.com
25	https://ndif.us/	Whois	ndif.us
26	https://arxiv.org/abs/2211.00593	Whois	arxiv.org
27	https://time-diffusion.github.io/	Whois	github.io
28	https://arxiv.org/abs/2303.08112	Whois	arxiv.org
29	https://arxiv.org/abs/2303.09435	Whois	arxiv.org
30	https://aclanthology.org/2021.acl-long.353/	Whois	aclanthology.org
31	https://arxiv.org/abs/2207.12598	Whois	arxiv.org
32	http://rewriting.csail.mit.edu/	Whois	mit.edu
33	http://gandissect.csail.mit.edu/papers/Seeing_What_a_GAN_Cannot_Generate.pdf	Whois	mit.edu
34	https://github.com/junyanz/iGAN	Whois	github.com
35	http://ganpaint.io/	Whois	ganpaint.io
36	http://gandissect.res.ibm.com/ganpaint.html	Whois	ibm.com
37	https://arxiv.org/abs/1412.6856	Whois	arxiv.org
38	https://vimeo.com/216045469	Whois	vimeo.com
39	http://dl.acm.org/authorize?N38021	Whois	acm.org
40	http://dl.acm.org/authorize?N38022	Whois	acm.org
41	https://search.googleblog.com/2011/12/search-quality-highlights-new-monthly.html	Whois	googleblog.com
42	https://googlesystem.blogspot.com/2013/06/new-ui-for-related-searches-in-google.html#gsc.tab=0	Whois	blogspot.com
43	https://googleblog.blogspot.com/2010/07/ooh-ahh-google-images-presents-nicer.html	Whois	blogspot.com
44	http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.722.1005	Whois	psu.edu
45	https://googleblog.blogspot.com/2005/08/google-gets-to-talking.html	Whois	blogspot.com
46	http://davidbau.com/archives/2003/11/14/the_design_of_xmlbeans_part_1.html	Whois	davidbau.com
47	https://en.wikipedia.org/wiki/Trident_(layout_engine)	Whois	wikipedia.org
48	https://en.wikipedia.org/wiki/Adam_Bosworth	Whois	wikipedia.org
49	http://people.maths.ox.ac.uk/~trefethen/	Whois	ac.uk
50	https://scholar.google.com/scholar?cluster=4058884683459283601	Whois	google.com
51	http://dblp.uni-trier.de/pers/hd/b/Bau:David	Whois	uni-trier.de
52	https://scholar.google.com/citations?hl=en&user=CYI6cKgAAAAJ&view_op=list_works&sortby=pubdate	Whois	google.com
53	https://github.com/davidbau	Whois	github.com
54	https://www.linkedin.com/in/david-bau-4b8130/	Whois	linkedin.com
55	https://sigmoid.social/@davidbau	Whois	sigmoid.social
56	http://davidbau.com	Whois	davidbau.com