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Interpretability

7,318 papers

Papers per year

Papers

Reinforcement Learning Enhanced Explainer for Graph Neural Networks NIPS 2021
A mechanistic multi-area recurrent network model of decision-making NIPS 2021
Representer Point Selection via Local Jacobian Expansion for Post-hoc Classifier Explanation of Deep Neural Networks and Ensemble Models NIPS 2021
Editing a classifier by rewriting its prediction rules NIPS 2021
Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration NIPS 2021
A Framework to Learn with Interpretation NIPS 2021
Learning to Synthesize Programs as Interpretable and Generalizable Policies NIPS 2021
Improving Coherence and Consistency in Neural Sequence Models with Dual-System, Neuro-Symbolic Reasoning NIPS 2021
Machine versus Human Attention in Deep Reinforcement Learning Tasks NIPS 2021
A Geometric Perspective towards Neural Calibration via Sensitivity Decomposition NIPS 2021
The effectiveness of feature attribution methods and its correlation with automatic evaluation scores NIPS 2021
Characterizing possible failure modes in physics-informed neural networks NIPS 2021
Improving Compositionality of Neural Networks by Decoding Representations to Inputs NIPS 2021
Interpretable agent communication from scratch (with a generic visual processor emerging on the side) NIPS 2021
Passive attention in artificial neural networks predicts human visual selectivity NIPS 2021
Beware of the Simulated DAG! Causal Discovery Benchmarks May Be Easy to Game NIPS 2021
Robustness between the worst and average case NIPS 2021
Making a (Counterfactual) Difference One Rationale at a Time NIPS 2021
Nearly-Tight and Oblivious Algorithms for Explainable Clustering NIPS 2021
Counterfactual Explanations in Sequential Decision Making Under Uncertainty NIPS 2021
Learning A Risk-Aware Trajectory Planner From Demonstrations Using Logic Monitor CORL 2021
Complex Coordinate-Based Meta-Analysis with Probabilistic Programming AAAI 2021
Interpretable Self-Supervised Facial Micro-Expression Learning to Predict Cognitive State and Neurological Disorders AAAI 2021
Graph-to-Graph: Towards Accurate and Interpretable Online Handwritten Mathematical Expression Recognition AAAI 2021
A Novel Visual Interpretability for Deep Neural Networks by Optimizing Activation Maps with Perturbation AAAI 2021