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most citedMethods for Interpreting and Understanding Deep Neural Networks

2.8k citations

Showing 2018Show all

83 papers · 1 filter

cs.DS2018

The Query Complexity of a Permutation-Based Variant of Mastermind

Peyman Afshani, Manindra Agrawal, Benjamin Doerr +3

We study the query complexity of a permutation-based variant of the guessing game Mastermind. In this variant, the secret is a pair which consists of a binary string $z \in…

cs.CV2018★ 3 cited

Not Using the Car to See the Sidewalk: Quantifying and Controlling the Effects of Context in Classification and Segmentation

Rakshith Shetty, Bernt Schiele, Mario Fritz

Importance of visual context in scene understanding tasks is well recognized in the computer vision community. However, to what extent the computer vision models for image classifi…

cs.CV2018★ 8 cited

Learning a Disentangled Embedding for Monocular 3D Shape Retrieval and Pose Estimation

Kyaw Zaw Lin, Weipeng Xu, Qianru Sun +2

We propose a novel approach to jointly perform 3D shape retrieval and pose estimation from monocular images.In order to make the method robust to real-world image variations, e.g.…

physics.comp-ph2018★ 249 cited

sGDML: Constructing Accurate and Data Efficient Molecular Force Fields Using Machine Learning

Stefan Chmiela, Huziel E. Sauceda, Igor Poltavsky +2

We present an optimized implementation of the recently proposed symmetric gradient domain machine learning (sGDML) model. The sGDML model is able to faithfully reproduce global pot…

cs.IR2018★ 6 cited

Overcoming low-utility facets for complex answer retrieval

Sean MacAvaney, Andrew Yates, Arman Cohan +4

Many questions cannot be answered simply; their answers must include numerous nuanced details and additional context. Complex Answer Retrieval (CAR) is the retrieval of answers to…

stat.ML2018

An interpretable multiple kernel learning approach for the discovery of integrative cancer subtypes

Nora K. Speicher, Nico Pfeifer

Due to the complexity of cancer, clustering algorithms have been used to disentangle the observed heterogeneity and identify cancer subtypes that can be treated specifically. While…