Interpretability
8,292 papers
Papers per year
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5
2
10
8
14
28
84
204
363
512
710
850
1,001
1,688
2,137
671
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Papers
One Word, Two Sides: Traces of Stance in Contextualized Word Representations
COLING 2022
On Neurons Invariant to Sentence Structural Changes in Neural Machine Translation
CoNLL 2022
On Preferred Abductive Explanations for Decision Trees and Random Forests
IJCAI 2022
On Quantifying Literals in Boolean Logic and its Applications to Explainable AI (Extended Abstract)
IJCAI 2022
On the Complementarity of Images and Text for the Expression of Emotions in Social Media
ACL 2022
On the Complexity of Enumerating Prime Implicants from Decision-DNNF Circuits
IJCAI 2022
On the Diversity and Limits of Human Explanations
NAACL 2022
On the Impact of Temporal Concept Drift on Model Explanations
EMNLP 2022
On the Importance of Data Size in Probing Fine-tuned Models
ACL 2022
On the Interpretability of Attention Networks
ACML 2022
On the Nature of BERT: Correlating Fine-Tuning and Linguistic Competence
COLING 2022
On the Pitfalls of Analyzing Individual Neurons in Language Models
ICLR 2022
On the Safety of Interpretable Machine Learning: A Maximum Deviation Approach
NeurIPS 2022
On the Sensitivity and Stability of Model Interpretations in NLP
ACL 2022
On the Symmetries of Deep Learning Models and their Internal Representations
NeurIPS 2022
On the Transformation of Latent Space in Fine-Tuned NLP Models
EMNLP 2022
Opening the Black Box: Automated Software Analysis for Algorithm Selection
AutoML 2022
OpenXAI: Towards a Transparent Evaluation of Model Explanations
NeurIPS 2022
Optimal Local Explainer Aggregation for Interpretable Prediction
AAAI 2022
Optimizing Binary Decision Diagrams with MaxSAT for Classification
AAAI 2022
Orientation Estimation of Abdominal Ultrasound Images with Multi-Hypotheses Networks
MIDL 2022
OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks
CVPR 2022
Outlier Dimensions that Disrupt Transformers are Driven by Frequency
EMNLP 2022
Out of Distribution Detection via Neural Network
Anchoring
ACML 2022
Overconfidence in the Face of Ambiguity with Adversarial Data
NAACL 2022