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Interpretability

7318 directly classified papers

Papers per year

Papers

Measuring Neural Net Robustness with Constraints NIPS 2016

Confusions over Time: An Interpretable Bayesian Model to Characterize Trends in Decision Making NIPS 2016

Examples are not enough, learn to criticize! Criticism for Interpretability NIPS 2016

Cooperative Graphical Models NIPS 2016

Agreement and Disagreement: Comparison of Points of View in the Political Domain COLING 2016

Graying the black box: Understanding DQNs ICML 2016

The LRP Toolbox for Artificial Neural Networks JMLR 2016

Inverting Visual Representations With Convolutional Networks CVPR 2016

WordForce: Visualizing Controversial Words in Debates COLING 2016

A Novel Risk-Estimation-Theoretic Framework for Speech Enhancement in Nonstationary and Non-Gaussian Noise Conditions INTERSPEECH 2016

Chinese Preposition Selection for Grammatical Error Diagnosis COLING 2016

Anecdote Recognition and Recommendation COLING 2016

Textual Entailment with Structured Attentions and Composition COLING 2016

Correcting Forecasts with Multifactor Neural Attention ICML 2016

Analysis on Gated Recurrent Unit Based Question Detection Approach INTERSPEECH 2016

Convex Regression with Interpretable Sharp Partitions JMLR 2016

Monotonic Calibrated Interpolated Look-Up Tables JMLR 2016

Data Selection for Within-Class Covariance Estimation INTERSPEECH 2016

A Progressive Explanation of Inference in ‘Hybrid’ Bayesian Networks for Supporting Clinical Decision Making PGM 2016

Synthesizing the preferred inputs for neurons in neural networks via deep generator networks NIPS 2016

Interpretable Nonlinear Dynamic Modeling of Neural Trajectories NIPS 2016

RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism NIPS 2016

Analyzing Classifiers: Fisher Vectors and Deep Neural Networks CVPR 2016

Part-Stacked CNN for Fine-Grained Visual Categorization CVPR 2016

Manual versus Automated: The Challenging Routine of Infant Vocalisation Segmentation in Home Videos to Study Neuro(mal)development INTERSPEECH 2016