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Interpretability

7,318 papers

Papers per year

Papers

VQA-MHUG: A Gaze Dataset to Study Multimodal Neural Attention in Visual Question Answering CONLL 2021
“It seemed like an annoying woman”: On the Perception and Ethical Considerations of Affective Language in Text-Based Conversational Agents CONLL 2021
Who’s on First?: Probing the Learning and Representation Capabilities of Language Models on Deterministic Closed Domains CONLL 2021
Agree to Disagree: Analysis of Inter-Annotator Disagreements in Human Evaluation of Machine Translation Output CONLL 2021
Explainable Natural Language to Bash Translation using Abstract Syntax Tree CONLL 2021
Understanding the Extent to which Content Quality Metrics Measure the Information Quality of Summaries CONLL 2021
Relation-aware Bidirectional Path Reasoning for Commonsense Question Answering CONLL 2021
Automatic Correction of Internal Units in Generative Neural Networks CVPR 2021
Generative Classifiers as a Basis for Trustworthy Image Classification CVPR 2021
ACRE: Abstract Causal REasoning Beyond Covariation CVPR 2021
CAMERAS: Enhanced Resolution and Sanity Preserving Class Activation Mapping for Image Saliency CVPR 2021
Interpretable Social Anchors for Human Trajectory Forecasting in Crowds CVPR 2021
Farewell to Mutual Information: Variational Distillation for Cross-Modal Person Re-Identification CVPR 2021
Relevance-CAM: Your Model Already Knows Where To Look CVPR 2021
Perception Matters: Detecting Perception Failures of VQA Models Using Metamorphic Testing CVPR 2021
Building Reliable Explanations of Unreliable Neural Networks: Locally Smoothing Perspective of Model Interpretation CVPR 2021
A Peek Into the Reasoning of Neural Networks: Interpreting With Structural Visual Concepts CVPR 2021
Transformer Interpretability Beyond Attention Visualization CVPR 2021
Right for the Right Concept: Revising Neuro-Symbolic Concepts by Interacting With Their Explanations CVPR 2021
Verifiability and Predictability: Interpreting Utilities of Network Architectures for Point Cloud Processing CVPR 2021
XProtoNet: Diagnosis in Chest Radiography With Global and Local Explanations CVPR 2021
Counterfactual VQA: A Cause-Effect Look at Language Bias CVPR 2021
A Closer Look at Fourier Spectrum Discrepancies for CNN-Generated Images Detection CVPR 2021
Explicit Knowledge Incorporation for Visual Reasoning CVPR 2021
Guided Integrated Gradients: An Adaptive Path Method for Removing Noise CVPR 2021