Expert attention map

The Who's Who of AI

What credible people across AI noticed, why it matters, and where the field is converging or disagreeing.

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Showing signals surfaced by Diane Larlus ×
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The developments commanding sustained expert attention

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Established AI field signal Signal 5d ago
⚡ 15 h early

IDeaL: Data-Free Multi-Teacher Distillation via Improved Dead Leaves

2 directory members surfaced this signal.

2 experts 2 communities 1 sources clustered
David Picard Diane Larlus

“Our #ECCV2026 IDeaL paper tackles Data-Free Multi-Teacher Distillation 🎓 arxiv.org/abs/2608.24759 see Bülent's thread below 🔽 joint work w @fyavuz1.bsky.social @mbsariyildiz.bsky.social at @naverlabseurope.bsky.social”

Primary source arxiv.org ↗
Debates gaining attention

What experts are discussing without an anchoring article

3 experts · 6 posts · 3d ago
David Picard Dmytro Mishkin Diane Larlus
Multiple readings Concern & critique · 1 Research & technical analysis · 1
David Picard: It's a cool paper, both old school and new school. There's an Easter egg: I designed a game for the teaser. Did you get it right? I tried it in my ML course and almost nobody got it.
Dmytro Mishkin: I got one very confidently (2nd from page 10), and another one was tie, and I did select wrong.
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