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Episode 15: Martín Arjovsky, INRIA, on benchmarks for robustness and geometric information theory
Manage episode 304703069 series 2906499
Martín Arjovsky did his Ph.D. at NYU with Leon Bottou. Some of his well-known works include the Wasserstein GAN and a paradigm called Invariant Risk Minimization. In this episode, we discuss out-of-distribution generalization, geometric information theory, and the importance of good benchmarks.
34 эпизодов
Manage episode 304703069 series 2906499
Martín Arjovsky did his Ph.D. at NYU with Leon Bottou. Some of his well-known works include the Wasserstein GAN and a paradigm called Invariant Risk Minimization. In this episode, we discuss out-of-distribution generalization, geometric information theory, and the importance of good benchmarks.
34 эпизодов
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