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Interpretability

7318 directly classified papers

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Papers

Defending Against Universal Attacks Through Selective Feature Regeneration CVPR 2020
Towards Visually Explaining Variational Autoencoders CVPR 2020
GRUEN for Evaluating Linguistic Quality of Generated Text EMNLP 2020
Asking without Telling: Exploring Latent Ontologies in Contextual Representations EMNLP 2020
HENIN: Learning Heterogeneous Neural Interaction Networks for Explainable Cyberbullying Detection on Social Media EMNLP 2020
Automatic Emergency Diagnosis with Knowledge-Based Tree Decoding IJCAI 2020
LGML: Logic Guided Machine Learning (Student Abstract) AAAI 2020
A Disentangling Invertible Interpretation Network for Explaining Latent Representations CVPR 2020
Belief Propagation Reloaded: Learning BP-Layers for Labeling Problems CVPR 2020
Adverse Drug Reaction Detection in Twitter Using RoBERTa and Rules COLING 2020
Why do you think that? Exploring Faithful Sentence-Level Rationales Without Supervision EMNLP 2020
Action-Guided Attention Mining and Relation Reasoning Network for Human-Object Interaction Detection IJCAI 2020
Explainable Inference on Sequential Data via Memory-Tracking IJCAI 2020
Logic Constrained Pointer Networks for Interpretable Textual Similarity IJCAI 2020
The Emerging Landscape of Explainable Automated Planning & Decision Making IJCAI 2020
A Language-Based Approach to Fake News Detection Through Interpretable Features and BRNN COLING 2020
There and Back Again: Revisiting Backpropagation Saliency Methods CVPR 2020
Differentiable Adaptive Computation Time for Visual Reasoning CVPR 2020
Reevaluating Adversarial Examples in Natural Language EMNLP 2020
Machine Reasoning: Technology, Dilemma and Future EMNLP 2020
RoFT: A Tool for Evaluating Human Detection of Machine-Generated Text EMNLP 2020
Learning Explainable Linguistic Expressions with Neural Inductive Logic Programming for Sentence Classification EMNLP 2020
KERMIT: Complementing Transformer Architectures with Encoders of Explicit Syntactic Interpretations EMNLP 2020
On the Value of Out-of-Distribution Testing: An Example of Goodhart's Law NIPS 2020
Modeling Noisy Annotations for Crowd Counting NIPS 2020