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Oral
Fri Jun 14 01:00 AM -- 01:20 AM (KST) @ Grand Ballroom
Neural Network Attributions: A Causal Perspective
Oral
Fri Jun 14 01:20 AM -- 01:25 AM (KST) @ Grand Ballroom
Towards a Deep and Unified Understanding of Deep Neural Models in NLP
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Slides]
Oral
Fri Jun 14 01:25 AM -- 01:30 AM (KST) @ Grand Ballroom
Explaining Deep Neural Networks with a Polynomial Time Algorithm for Shapley Value Approximation
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Slides]
Oral
Fri Jun 14 01:30 AM -- 01:35 AM (KST) @ Grand Ballroom
Functional Transparency for Structured Data: a Game-Theoretic Approach
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Slides]
Oral
Fri Jun 14 01:35 AM -- 01:40 AM (KST) @ Grand Ballroom
Exploring interpretable LSTM neural networks over multi-variable data
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Slides]
Oral
Fri Jun 14 01:40 AM -- 02:00 AM (KST) @ Grand Ballroom
TensorFuzz: Debugging Neural Networks with Coverage-Guided Fuzzing
Oral
Fri Jun 14 02:00 AM -- 02:05 AM (KST) @ Grand Ballroom
Gaining Free or Low-Cost Interpretability with Interpretable Partial Substitute
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Slides]
Oral
Fri Jun 14 02:05 AM -- 02:10 AM (KST) @ Grand Ballroom
State-Regularized Recurrent Neural Networks
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Slides]
Oral
Fri Jun 14 02:10 AM -- 02:15 AM (KST) @ Grand Ballroom
Understanding Impacts of High-Order Loss Approximations and Features in Deep Learning Interpretation
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Slides]
Oral
Fri Jun 14 02:15 AM -- 02:20 AM (KST) @ Grand Ballroom
On the Connection Between Adversarial Robustness and Saliency Map Interpretability
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Slides]
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