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cs.LG2022
Interpretability Guarantees with Merlin-Arthur Classifiers
Stephan Wäldchen, Kartikey Sharma, Berkant Turan +2
We propose an interactive multi-agent classifier that provides provable interpretability guarantees even for complex agents such as neural networks. These guarantees consist of low…
cs.LG2022★ 1 cited
Compression-aware Training of Neural Networks using Frank-Wolfe
Max Zimmer, Christoph Spiegel, Sebastian Pokutta
Many existing Neural Network pruning approaches rely on either retraining or inducing a strong bias in order to converge to a sparse solution throughout training. A third paradigm,…