Technology

Reasoning for Complex Data through Self-Supervised Learning

elf-supervised learning deals with problems that have little or no available labeled data. Recent work has shown impressive results when underlying classes have significant semantic differences. We will discuss strategies to tackle to enable learning from unlabeled data even when samples from different classes are not prominently diverse. We approach the pr…

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1Voices

2Underwriters

0Exhibitors

0On the bill · sessions

3Companies · in total

§I

The Voices

Programmed at Reasoning, in alphabetical order.

Anderson Rocha

Full Professor of Artificial Intelligence and Digital Forensics at the Institute of Computing, University of Campinas (Unicamp), Brazil · University of Campinas (Unicamp)

§II

Underwritten By

The houses behind the program. Tiers as disclosed.

Sentry

Torc

Intermission

Part the Second · For the Buyer

An audience of 3 companies, parsed from the program.

“Three companies in attendance.”

The numbers below are derived from the speakers, sponsors, and exhibitors on this page — cross-referenced into one ledger. They are the only thing here that 10times.com cannot tell you.

№ 01Fig. 01 — Composition of the House

0All threespeak · spons · exh

2Sponsoringsponsor only

0Exhibitingexhibitor only

1Speakingspeaker only

№ 02Fig. 02 — The Voices, by Seniority

Other roles1100%

Of 1 on the bill · classified by free-text title

№ 03Fig. 03 — The Heaviest in the Room

№ 04Fig. 04 — By Tier

unspecified2

100% of 2