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Posted: 2025-04-13 17:28:13 UTC
This article contains some claims that remain unverified. While much of the content may be accurate, exercise care when relying on this information.
This article contains some claims that remain unverified. While much of the content may be accurate, exercise care when relying on this information.
Status
Last Updated
2025-04-13 17:28:32 UTC
Verified By
Rollup News
The author reflects on the NeurIPS Test of Time Paper Awards won by his former students and postdocs for their work on generative adversarial networks and sequence-to-sequence learning. He discusses the importance of scaling in AI progress, his early bets on it, and encourages pursuing unconventional ideas with conviction.
Recognition of impactful research by former students and postdocs
Importance of scaling in AI progress
Following convictions and data over skepticism
Encouragement to pursue unconventional ideas responsibly
Skepticism towards scaling up neural networks
Balancing reflection with a forward-looking approach