163 citations · 589 across the 42 of their papers we have counts for
3 papers · 1 filter
Interactive Naming for Explaining Deep Neural Networks: A Formative Study
Mandana Hamidi-Haines, Zhongang Qi, Alan Fern +2
We consider the problem of explaining the decisions of deep neural networks for image recognition in terms of human-recognizable visual concepts. In particular, given a test set of…
Learning Finite State Representations of Recurrent Policy Networks
Anurag Koul, Sam Greydanus, Alan Fern
Recurrent neural networks (RNNs) are an effective representation of control policies for a wide range of reinforcement and imitation learning problems. RNN policies, however, are p…
Open Category Detection with PAC Guarantees
Si Liu, Risheek Garrepalli, Thomas G. Dietterich +2
Open category detection is the problem of detecting "alien" test instances that belong to categories or classes that were not present in the training data. In many applications, re…