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stat.ML2020
What Do Neural Networks Learn When Trained With Random Labels?
Hartmut Maennel, Ibrahim Alabdulmohsin, Ilya Tolstikhin +4
We study deep neural networks (DNNs) trained on natural image data with entirely random labels. Despite its popularity in the literature, where it is often used to study memorizati…
stat.ML2020
Exact marginal inference in Latent Dirichlet Allocation
Hartmut Maennel
Assume we have potential "causes" , which produce "events" with known probabilities . We observe , what can we say about the distribution of th…
stat.ML2018
Gradient Descent Quantizes ReLU Network Features
Hartmut Maennel, Olivier Bousquet, Sylvain Gelly
Deep neural networks are often trained in the over-parametrized regime (i.e. with far more parameters than training examples), and understanding why the training converges to solut…