Back
300+ peer-reviewed papers
webCredibility Rating
4/5
High(4)High quality. Established institution or organization with editorial oversight and accountability.
Rating inherited from publication venue: Google Scholar
This is a Google Scholar author profile page; the actual content was not retrievable, so metadata is inferred from tags alone. Users should visit directly to identify the researcher and browse their publications.
Metadata
Importance: 35/100homepage
Summary
A Google Scholar profile listing over 300 peer-reviewed papers, likely belonging to a prolific researcher in deep learning and AI safety. Without access to the actual profile content, the profile appears to aggregate a substantial body of academic work spanning technical AI research and safety-relevant topics.
Key Points
- •Profile contains 300+ peer-reviewed publications indicating a highly prolific researcher
- •Tagged topics suggest work spans deep learning, AI safety, and governance
- •Google Scholar profiles provide citation metrics, h-index, and publication history
- •Unable to verify specific author identity or paper titles without accessible content
- •May serve as a useful reference hub for tracking a key researcher's contributions
Cited by 1 page
| Page | Type | Quality |
|---|---|---|
| Yoshua Bengio | Person | 39.0 |
Cached Content Preview
HTTP 200Fetched Apr 10, 202610 KB
Yoshua Bengio - Google Scholar
Feb
MAR
Apr
11
2025
2026
2027
success
fail
About this capture
COLLECTED BY
Organization: Archive Team
Formed in 2009, the Archive Team (not to be confused with the archive.org Archive-It Team) is a rogue archivist collective dedicated to saving copies of rapidly dying or deleted websites for the sake of history and digital heritage. The group is 100% composed of volunteers and interested parties, and has expanded into a large amount of related projects for saving online and digital history.
History is littered with hundreds of conflicts over the future of a community, group, location or business that were "resolved" when one of the parties stepped ahead and destroyed what was there. With the original point of contention destroyed, the debates would fall to the wayside. Archive Team believes that by duplicated condemned data, the conversation and debate can continue, as well as the richness and insight gained by keeping the materials. Our projects have ranged in size from a single volunteer downloading the data to a small-but-critical site, to over 100 volunteers stepping forward to acquire terabytes of user-created data to save for future generations.
The main site for Archive Team is at archiveteam.org and contains up to the date information on various projects, manifestos, plans and walkthroughs.
This collection contains the output of many Archive Team projects, both ongoing and completed. Thanks to the generous providing of disk space by the Internet Archive, multi-terabyte datasets can be made available, as well as in use by the Wayback Machine, providing a path back to lost websites and work.
Our collection has grown to the point of having sub-collections for the type of data we acquire. If you are seeking to browse the contents of these collections, the Wayback Machine is the best first stop. Otherwise, you are free to dig into the stacks to see what you may find.
The Archive Team Panic Downloads are full pulldowns of currently extant websites, meant to serve as emergency backups for needed sites that are in danger of closing, or which will be missed dearly if suddenly lost due to hard drive crashes or server failures.
Collection: ArchiveBot: The Archive Team Crowdsourced Crawler
ArchiveBot is an IRC bot designed to automate the archival of smaller websites (e.g. up to a few hundred thousand URLs). You give it a URL to start at, and it grabs all content under that URL, records it in a WARC, and then uploads that WARC to ArchiveTeam servers for eventual injection into the Internet Archive (or other archive sites).
To use ArchiveBot, drop by #archivebot on EFNet. To interact with ArchiveBot, you issue commands by typing it into the channel. Note you will need channel operator permissions in order to issue archiving
... (truncated, 10 KB total)Resource ID:
f61180d269fdcb26 | Stable ID: sid_HXoFkDGdpG