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Interpretability

7318 directly classified papers

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Papers

HILDIF: Interactive Debugging of NLI Models Using Influence Functions ACL 2021

Can Transformer Language Models Predict Psychometric Properties? ACL 2021

TabNet: Attentive Interpretable Tabular Learning AAAI 2021

Learning Prediction Intervals for Model Performance AAAI 2021

Explanation Consistency Training: Facilitating Consistency-Based Semi-Supervised Learning with Interpretability AAAI 2021

Invertible Concept-based Explanations for CNN Models with Non-negative Concept Activation Vectors AAAI 2021

SkeletonVis: Interactive Visualization for Understanding Adversarial Attacks on Human Action Recognition Models AAAI 2021

Learning from the Best: Rationalizing Predictions by Adversarial Information Calibration AAAI 2021

Human-Level Interpretable Learning for Aspect-Based Sentiment Analysis AAAI 2021

Measuring and Improving Model-Moderator Collaboration using Uncertainty Estimation ACL 2021

COINS: Dynamically Generating COntextualized Inference Rules for Narrative Story Completion ACL 2021

Iterative Bounding MDPs: Learning Interpretable Policies via Non-Interpretable Methods AAAI 2021

Expected Eligibility Traces AAAI 2021

Self-Supervised Attention-Aware Reinforcement Learning AAAI 2021

TripleTree: A Versatile Interpretable Representation of Black Box Agents and their Environments AAAI 2021

Automatic Fake News Detection: Are Models Learning to Reason? ACL 2021

Detecting Adversarial Examples from Sensitivity Inconsistency of Spatial-Transform Domain AAAI 2021

ILDC for CJPE: Indian Legal Documents Corpus for Court Judgment Prediction and Explanation ACL 2021

CDRNN: Discovering Complex Dynamics in Human Language Processing ACL 2021

Guided Visual Exploration of Relations in Data Sets JMLR 2021

EVET: Enhancing Visual Explanations of Deep Neural Networks Using Image Transformations WACV 2021

Adversarial Deepfakes: Evaluating Vulnerability of Deepfake Detectors to Adversarial Examples WACV 2021

Meta Module Network for Compositional Visual Reasoning WACV 2021

Explaining A Black-box By Using A Deep Variational Information Bottleneck Approach AAAI 2021

Asking the Right Questions: Learning Interpretable Action Models Through Query Answering AAAI 2021