38 - A Corpus of Natural Language for Visual Reasoning, with Alane Suhr
NLP Highlights30 Okt 2017

38 - A Corpus of Natural Language for Visual Reasoning, with Alane Suhr

ACL 2017 best resource paper, by Alane Suhr, Mike Lewis, James Yeh, and Yoav Artzi Alane joins us on the podcast to tell us about the dataset, which contains images paired with natural language descriptions of the images, where the task is to decide whether the description is true or false. Alane tells us about the motivation for creating the new dataset, how it was constructed, the way they elicited complex language from crowd workers, and why the dataset is an interesting target for future research. https://www.semanticscholar.org/paper/A-Corpus-of-Natural-Language-for-Visual-Reasoning-Suhr-Lewis/633453fb633c3c8695f3cd0e6b5350e971058bed

Denne episoden er hentet fra en åpen RSS-feed og er ikke publisert av Podme. Den kan derfor inneholde annonser.

Episoder(145)

Are LLMs safe?

Are LLMs safe?

Curious about the safety of LLMs? 🤔 Join us for an insightful new episode featuring Suchin Gururangan, Young Investigator at Allen Institute for Artificial Intelligence and Data Science Engineer at A...

29 Feb 202442min

"Imaginative AI" with Mohamed Elhoseiny

"Imaginative AI" with Mohamed Elhoseiny

This podcast episode features Dr. Mohamed Elhoseiny, a true luminary in the realm of computer vision with over a decade of groundbreaking research. As an Assistant Professor at KAUST, Dr. Elhoseiny's ...

8 Jan 202423min

142 - Science Of Science, with Kyle Lo

142 - Science Of Science, with Kyle Lo

Our first guest with this new format is Kyle Lo, the most senior lead scientist in the Semantic Scholar team at Allen Institute for AI (AI2), who kindly agreed to share his perspective on #Science of ...

28 Des 202348min

141 - Building an open source LM, with Iz Beltagy and Dirk Groeneveld

141 - Building an open source LM, with Iz Beltagy and Dirk Groeneveld

In this special episode of NLP Highlights, we discussed building and open sourcing language models. What is the usual recipe for building large language models? What does it mean to open source them? ...

29 Jun 202329min

140 - Generative AI and Copyright, with Chris Callison-Burch

140 - Generative AI and Copyright, with Chris Callison-Burch

In this special episode, we chatted with Chris Callison-Burch about his testimony in the recent U.S. Congress Hearing on the Interoperability of AI and Copyright Law. We started by asking Chris about ...

6 Jun 202351min

139 - Coherent Long Story Generation, with Kevin Yang

139 - Coherent Long Story Generation, with Kevin Yang

How can we generate coherent long stories from language models? Ensuring that the generated story has long range consistency and that it conforms to a high level plan is typically challenging. In this...

24 Mar 202345min

138 - Compositional Generalization in Neural Networks, with Najoung Kim

138 - Compositional Generalization in Neural Networks, with Najoung Kim

Compositional generalization refers to the capability of models to generalize to out-of-distribution instances by composing information obtained from the training data. In this episode we chatted with...

20 Jan 202348min

137 - Nearest Neighbor Language Modeling and Machine Translation, with Urvashi Khandelwal

137 - Nearest Neighbor Language Modeling and Machine Translation, with Urvashi Khandelwal

We invited Urvashi Khandelwal, a research scientist at Google Brain to talk about nearest neighbor language and machine translation models. These models interpolate parametric (conditional) language m...

13 Jan 202335min

Populært innen Vitenskap

fastlegen
tingenes-tilstand
jss
rekommandert
liberal-halvtime
sinnsyn
forskningno
tomprat-med-gunnar-tjomlid
villmarksliv
rss-paradigmepodden
fjellsportpodden
kvinnehelsepodden
tidlose-historier
dekodet-2
rss-zahid-ali-hjelper-deg
rss-overskuddsliv
hva-er-greia-med
rss-rekommandert
rss-inn-til-kjernen-med-sunniva-rose
grunnstoffene