6 days ago · In a widely popular analogy by Turing Award Laureate Yann LeCun, machine intelligence has been compared to cake —where unsupervised learning forms the base, supervised learning adds the icing, and reinforcement learning is the cherry on top.

Feb 22, 2019 · Facebook AI Chief Yann LeCun introduced his now-famous “cake analogy” at NIPS 2016: “If intelligence is a cake, the bulk of the cake is unsupervised learning, the icing on the cake is supervised learning, and the cherry on the cake is reinforcement learning (RL).”

Feb 22, 2019 · Facebook AI Chief Yann LeCun introduced his now-famous “cake analogy” at NIPS 2016: “If intelligence is a cake, the bulk of the cake is unsupervised learning, the icing on the cake is...

2 days ago · The cake analogy, initially introduced by AI pioneer Yann LeCun, likened AI learning to a layered cake: unsupervised learning as the base, supervised learning as the icing, and reinforcement learning as the cherry on top. However, this new study expands the analogy to encompass the entire AI production cycle, from ingredient sourcing (data collection) to recipe creation (algorithm design ...

Dec 24, 2024 · Yann had a cake analogy: unsupervised learning is the body, supervised learning is the icing, and reinforcement learning is the cherry on top,” Professor Fergus recalled. “Many mocked this at the time, but it’s been proven correct.

Dec 11, 2024 · At the 2016 edition of the Neural Information Processing Systems (NeurIPS) conference, Yann LeCun first introduced his now-famous cake metaphor for where learning happens in modern machine learning systems:

Dec 6, 2022 · The self-supervised learning guru and chief AI scientist at Meta AI, Yann LeCun, introduced the ‘cake analogy’, at NIPS 2016. “If intelligence is a cake, the bulk of the cake is unsupervised learning, the icing on the cake is supervised learning, and the cherry on the cake is reinforcement learning.”

LeCun's Cake Analogy. Yann LeCun gave this cake analogy in NIPS 2016: If we think of our brain as a cake, then the cake base is unsupervised learning. The machine predicts any part of its input for any observed part (e.g. future frames in videos), all without the use of labelled data.

Feb 5, 2025 · In a widely popular analogy by Turing Award Laureate Yann LeCun, machine intelligence has been compared to cake - where unsupervised learning forms the base, supervised learning adds the icing, and reinforcement learning is the cherry on top. We expand this 'cake that is intelligence' analogy from a simple structural metaphor to the full life ...

6 days ago · In a widely popular analogy by Turing Award Laureate Yann LeCun, machine intelligence has been compared to cake - where unsupervised learning forms the base, supervised learning adds the icing, and reinforcement learning is the cherry on top. We expand this 'cake that is intelligence' analogy from a simple structural metaphor to the full life-cycle of AI systems, extending it to sourcing of ...