Fchollet product

mentioned 7

• ← mentioned Machine Learning Street Talk (MLST) podcast

  0.90
  evidence rules-v4

  Link in episode "Test-Time Adaptation: the key to reasoning with DL (Mohamed Osman)": https://github.com/fchollet/ARC-AGI

  Test-Time Adaptation: the key to reasoning with DL (Mohamed Osman) · 2025-03-22
• ← mentioned Machine Learning Street Talk (MLST) podcast

  0.90
  evidence rules-v4

  Link in episode "Reasoning, Robustness, and Human Feedback in AI - Max Bartolo (Cohere)": https://github.com/fchollet/ARC-AGI

  Reasoning, Robustness, and Human Feedback in AI - Max Bartolo (Cohere) · 2025-03-18
• ← mentioned Machine Learning Street Talk (MLST) podcast

  0.90
  evidence rules-v4

  Link in episode "Prof. Jakob Foerster - ImageNet Moment for Reinforcement Learning?": https://github.com/fchollet/ARC-AGI

  Prof. Jakob Foerster - ImageNet Moment for Reinforcement Learning? · 2025-02-18
• ← mentioned Machine Learning Street Talk (MLST) podcast

  0.90
  evidence rules-v4

  Link in episode "Clement Bonnet - Can Latent Program Networks Solve Abstract Reasoning?": https://github.com/fchollet/ARC-AGI

  Clement Bonnet - Can Latent Program Networks Solve Abstract Reasoning? · 2025-02-19
• ← mentioned Machine Learning Street Talk (MLST) podcast

  0.90
  evidence rules-v4

  Link in episode "It's Not About Scale, It's About Abstraction - Francois Chollet": https://github.com/fchollet/ARC-AGI

  It's Not About Scale, It's About Abstraction - Francois Chollet · 2024-10-12
• ← mentioned Machine Learning Street Talk (MLST) podcast

  0.90
  evidence rules-v4

  Link in episode "Sara Hooker - Why US AI Act Compute Thresholds Are Misguided": https://github.com/fchollet/ARC-AGI

  Sara Hooker - Why US AI Act Compute Thresholds Are Misguided · 2024-07-18
• ← mentioned Machine Learning Street Talk (MLST) podcast

  0.90
  evidence rules-v4

  Link in episode "#97 SREEJAN KUMAR - Human Inductive Biases in Machines from Language": https://github.com/fchollet/ARC

  #97 SREEJAN KUMAR - Human Inductive Biases in Machines from Language · 2023-01-28

references 7

• ← references Machine Learning Street Talk (MLST podcast

  0.77
  evidence rules-v4

  Link in episode "Test-Time Adaptation: the key to reasoning with DL (Mohamed Osman)": https://github.com/fchollet/ARC-AGI

  Test-Time Adaptation: the key to reasoning with DL (Mohamed Osman) · 2025-03-22
• ← references Machine Learning Street Talk (MLST podcast

  0.77
  evidence rules-v4

  Link in episode "Reasoning, Robustness, and Human Feedback in AI - Max Bartolo (Cohere)": https://github.com/fchollet/ARC-AGI

  Reasoning, Robustness, and Human Feedback in AI - Max Bartolo (Cohere) · 2025-03-18
• ← references Machine Learning Street Talk (MLST podcast

  0.77
  evidence rules-v4

  Link in episode "Prof. Jakob Foerster - ImageNet Moment for Reinforcement Learning?": https://github.com/fchollet/ARC-AGI

  Prof. Jakob Foerster - ImageNet Moment for Reinforcement Learning? · 2025-02-18
• ← references Machine Learning Street Talk (MLST podcast

  0.77
  evidence rules-v4

  Link in episode "Clement Bonnet - Can Latent Program Networks Solve Abstract Reasoning?": https://github.com/fchollet/ARC-AGI

  Clement Bonnet - Can Latent Program Networks Solve Abstract Reasoning? · 2025-02-19
• ← references Machine Learning Street Talk (MLST podcast

  0.77
  evidence rules-v4

  Link in episode "It's Not About Scale, It's About Abstraction - Francois Chollet": https://github.com/fchollet/ARC-AGI

  It's Not About Scale, It's About Abstraction - Francois Chollet · 2024-10-12
• ← references Machine Learning Street Talk (MLST podcast

  0.77
  evidence rules-v4

  Link in episode "Sara Hooker - Why US AI Act Compute Thresholds Are Misguided": https://github.com/fchollet/ARC-AGI

  Sara Hooker - Why US AI Act Compute Thresholds Are Misguided · 2024-07-18
• ← references Machine Learning Street Talk (MLST podcast

  0.77
  evidence rules-v4

  Link in episode "#97 SREEJAN KUMAR - Human Inductive Biases in Machines from Language": https://github.com/fchollet/ARC

  #97 SREEJAN KUMAR - Human Inductive Biases in Machines from Language · 2023-01-28

• Machine Learning Street Talk (MLST)7 episodes

• Test-Time Adaptation: the key to reasoning with DL (Mohamed Osman)
  2025-03-22 · Machine Learning Street Talk (MLST) · via mentioned · 0.90

  Link in episode "Test-Time Adaptation: the key to reasoning with DL (Mohamed Osman)": https://github.com/fchollet/ARC-AGI

• Test-Time Adaptation: the key to reasoning with DL (Mohamed Osman)
  2025-03-22 · Machine Learning Street Talk (MLST) · via references · 0.77

  Link in episode "Test-Time Adaptation: the key to reasoning with DL (Mohamed Osman)": https://github.com/fchollet/ARC-AGI

• Reasoning, Robustness, and Human Feedback in AI - Max Bartolo (Cohere)
  2025-03-18 · Machine Learning Street Talk (MLST) · via mentioned · 0.90

  Link in episode "Reasoning, Robustness, and Human Feedback in AI - Max Bartolo (Cohere)": https://github.com/fchollet/ARC-AGI

• Reasoning, Robustness, and Human Feedback in AI - Max Bartolo (Cohere)
  2025-03-18 · Machine Learning Street Talk (MLST) · via references · 0.77

  Link in episode "Reasoning, Robustness, and Human Feedback in AI - Max Bartolo (Cohere)": https://github.com/fchollet/ARC-AGI

• Clement Bonnet - Can Latent Program Networks Solve Abstract Reasoning?
  2025-02-19 · Machine Learning Street Talk (MLST) · via mentioned · 0.90

  Link in episode "Clement Bonnet - Can Latent Program Networks Solve Abstract Reasoning?": https://github.com/fchollet/ARC-AGI

• Clement Bonnet - Can Latent Program Networks Solve Abstract Reasoning?
  2025-02-19 · Machine Learning Street Talk (MLST) · via references · 0.77

  Link in episode "Clement Bonnet - Can Latent Program Networks Solve Abstract Reasoning?": https://github.com/fchollet/ARC-AGI

• Prof. Jakob Foerster - ImageNet Moment for Reinforcement Learning?
  2025-02-18 · Machine Learning Street Talk (MLST) · via mentioned · 0.90

  Link in episode "Prof. Jakob Foerster - ImageNet Moment for Reinforcement Learning?": https://github.com/fchollet/ARC-AGI

• Prof. Jakob Foerster - ImageNet Moment for Reinforcement Learning?
  2025-02-18 · Machine Learning Street Talk (MLST) · via references · 0.77

  Link in episode "Prof. Jakob Foerster - ImageNet Moment for Reinforcement Learning?": https://github.com/fchollet/ARC-AGI

• It's Not About Scale, It's About Abstraction - Francois Chollet
  2024-10-12 · Machine Learning Street Talk (MLST) · via mentioned · 0.90

  Link in episode "It's Not About Scale, It's About Abstraction - Francois Chollet": https://github.com/fchollet/ARC-AGI

• It's Not About Scale, It's About Abstraction - Francois Chollet
  2024-10-12 · Machine Learning Street Talk (MLST) · via references · 0.77

  Link in episode "It's Not About Scale, It's About Abstraction - Francois Chollet": https://github.com/fchollet/ARC-AGI

• Sara Hooker - Why US AI Act Compute Thresholds Are Misguided
  2024-07-18 · Machine Learning Street Talk (MLST) · via mentioned · 0.90

  Link in episode "Sara Hooker - Why US AI Act Compute Thresholds Are Misguided": https://github.com/fchollet/ARC-AGI

• Sara Hooker - Why US AI Act Compute Thresholds Are Misguided
  2024-07-18 · Machine Learning Street Talk (MLST) · via references · 0.77

  Link in episode "Sara Hooker - Why US AI Act Compute Thresholds Are Misguided": https://github.com/fchollet/ARC-AGI

• #97 SREEJAN KUMAR - Human Inductive Biases in Machines from Language
  2023-01-28 · Machine Learning Street Talk (MLST) · via mentioned · 0.90

  Link in episode "#97 SREEJAN KUMAR - Human Inductive Biases in Machines from Language": https://github.com/fchollet/ARC

• #97 SREEJAN KUMAR - Human Inductive Biases in Machines from Language
  2023-01-28 · Machine Learning Street Talk (MLST) · via references · 0.77

  Link in episode "#97 SREEJAN KUMAR - Human Inductive Biases in Machines from Language": https://github.com/fchollet/ARC