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Interpretability

7318 directly classified papers

Papers per year

Papers

Assessing the Semantic Space Bias Caused by ASR Error Propagation and its Effect on Spoken Document Summarization INTERSPEECH 2019
Speech Organ Contour Extraction Using Real-Time MRI and Machine Learning Method INTERSPEECH 2019
Interpretable Relevant Emotion Ranking with Event-Driven Attention IJCNLP 2019
On the (In)fidelity and Sensitivity of Explanations NIPS 2019
Explainable Fashion Recommendation: A Semantic Attribute Region Guided Approach IJCAI 2019
Beyond the Single Neuron Convex Barrier for Neural Network Certification NIPS 2019
On Relating Explanations and Adversarial Examples NIPS 2019
Sincerity in Acted Speech: Presenting the Sincere Apology Corpus and Results INTERSPEECH 2019
The Neural Correlates Underlying Lexically-Guided Perceptual Learning INTERSPEECH 2019
Deep Gamblers: Learning to Abstain with Portfolio Theory NIPS 2019
Attentive State-Space Modeling of Disease Progression NIPS 2019
Universality and individuality in neural dynamics across large populations of recurrent networks NIPS 2019
Variational Denoising Network: Toward Blind Noise Modeling and Removal NIPS 2019
Fooling Neural Network Interpretations via Adversarial Model Manipulation NIPS 2019
Full-Gradient Representation for Neural Network Visualization NIPS 2019
Computing Linear Restrictions of Neural Networks NIPS 2019
Learning Dynamics of Attention: Human Prior for Interpretable Machine Reasoning NIPS 2019
Explanations can be manipulated and geometry is to blame NIPS 2019
On the Use/Misuse of the Term ‘Phoneme’ INTERSPEECH 2019
Towards Automatic Concept-based Explanations NIPS 2019
Scene-level Pose Estimation for Multiple Instances of Densely Packed Objects CORL 2019
Probabilistic Neural Symbolic Models for Interpretable Visual Question Answering ICML 2019
Embryo Staging with Weakly-Supervised Region Selection and Dynamically-Decoded Predictions MLHC 2019
What Clinicians Want: Contextualizing Explainable Machine Learning for Clinical End Use MLHC 2019
Multi-view Multi-task Learning for Improving Autonomous Mammogram Diagnosis MLHC 2019