[MINI] One Shot Learning
Data Skeptic22 Syys 2017

[MINI] One Shot Learning

One Shot Learning is the class of machine learning procedures that focuses learning something from a small number of examples. This is in contrast to "traditional" machine learning which typically requires a very large training set to build a reasonable model.

In this episode, Kyle presents a coded message to Linhda who is able to recognize that many of these new symbols created are likely to be the same symbol, despite having extremely few examples of each. Why can the human brain recognize a new symbol with relative ease while most machine learning algorithms require large training data? We discuss some of the reasons why and approaches to One Shot Learning.

Tämä jakso on lisätty Podme-palveluun avoimen RSS-syötteen kautta eikä se ole Podmen omaa tuotantoa. Siksi jakso saattaa sisältää mainontaa.

Jaksot(601)

LLMs in Music Composition

LLMs in Music Composition

In this episode, we are joined by Carlos Hernández Oliván, a Ph.D. student at the University of Zaragoza. Carlos's interest focuses on building new models for symbolic music generation. Carlos shared ...

28 Elo 202333min

Cuttlefish Model Tuning

Cuttlefish Model Tuning

Hongyi Wang, a Senior Researcher at the Machine Learning Department at Carnegie Mellon University, joins us. His research is in the intersection of systems and machine learning. He discussed his resea...

21 Elo 202327min

Which Professions Are Threatened by LLMs

Which Professions Are Threatened by LLMs

On today's episode, we have Daniel Rock, an Assistant Professor of Operations Information and Decisions at the Wharton School of the University of Pennsylvania. Daniel's research focuses on the econom...

15 Elo 202338min

Why Prompting is Hard

Why Prompting is Hard

We are excited to be joined by J.D. Zamfirescu-Pereira, a Ph.D. student at UC Berkeley. He focuses on the intersection of human-computer interaction (HCI) and artificial intelligence (AI). He joins us...

8 Elo 202348min

Automated Peer Review

Automated Peer Review

In this episode, we are joined by Ryan Liu, a Computer Science graduate of Carnegie Mellon University. Ryan will begin his Ph.D. program at Princeton University this fall. His Ph.D. will focus on the ...

31 Heinä 202336min

Prompt Refusal

Prompt Refusal

The creators of large language models impose restrictions on some of the types of requests one might make of them.  LLMs commonly refuse to give advice on committing crimes, producting adult content, ...

24 Heinä 202344min

A Long Way Till AGI

A Long Way Till AGI

Our guest today is Maciej Świechowski. Maciej is affiliated with QED Software and QED Games. He has a Ph.D. in Systems Research from the Polish Academy of Sciences. Maciej joins us to discuss findings...

18 Heinä 202337min

Brain Inspired AI

Brain Inspired AI

Today on the show, we are joined by Lin Zhao and Lu Zhang. Lin is a Senior Research Scientist at United Imaging Intelligence, while Lu is a Ph.D. candidate at the Department of Computer Science and En...

11 Heinä 202336min

Suosittua kategoriassa Tiede

rss-mita-tulisi-tietaa
rss-poliisin-mieli
tiedekulma-podcast
utelias-mieli
docemilia
rss-duodecim-lehti
rss-tiedetta-vai-tarinaa
rss-totuuden-liepeilla
university-of-eastern-finland
filocast-filosofian-perusteet
rss-duokkari-ekstra
rss-laakaripodi
rss-ylistys-elaimille
rss-lapsuuden-rakentajat-podcast