Interpretability
8,292 papers
Papers per year
1
1
1
1
1
5
2
10
8
14
28
84
204
363
512
710
850
1,001
1,688
2,137
671
'10
'15
'20
'25
Papers
A Language-Based Approach to Fake News Detection Through Interpretable Features and BRNN
COLING 2020
A Model-Driven Deep Neural Network for Single Image Rain Removal
CVPR 2020
A Multi-Hypothesis Approach to Color Constancy
CVPR 2020
Analyzing analytical methods: The case of phonology in neural models of spoken language
ACL 2020
Analyzing Individual Neurons in Pre-trained Language Models
EMNLP 2020
An Anomaly Detection and Explainability Framework using Convolutional Autoencoders for Data Storage Systems
IJCAI 2020
An Empirical Investigation of Beam-Aware Training in Supertagging
EMNLP 2020
An Evaluation of the Doctor-Interpretability of Generalized Additive Models with Interactions
MLHC 2020
A New Approach to Plan-Space Explanation: Analyzing Plan-Property Dependencies in Oversubscription Planning
AAAI 2020
A New Perspective on Learning Context-Specific Independence
PGM 2020
An Information Bottleneck Approach for Controlling Conciseness in Rationale Extraction
EMNLP 2020
An information theoretic view on selecting linguistic probes
EMNLP 2020
An Investigation of Why Overparameterization Exacerbates Spurious Correlations
ICML 2020
Annotation and Classification of Evidence and Reasoning Revisions in Argumentative Writing
ACL 2020
A Programmatic and Semantic Approach to Explaining and Debugging Neural Network Based Object Detectors
CVPR 2020
Asking and Answering Questions to Evaluate the Factual Consistency of Summaries
ACL 2020
Asking without Telling: Exploring Latent Ontologies in Contextual Representations
EMNLP 2020
Assessing Human-Parity in Machine Translation on the Segment Level
EMNLP 2020
Assessing Robustness of Text Classification through Maximal Safe Radius Computation
EMNLP 2020
Assessing SATNet's Ability to Solve the Symbol Grounding Problem
NeurIPS 2020
Assessing the Helpfulness of Learning Materials with Inference-Based Learner-Like Agent
EMNLP 2020
A Survey of the State of Explainable AI for Natural Language Processing
AACL 2020
Asymmetric Shapley values: incorporating causal knowledge into model-agnostic explainability
NeurIPS 2020
A Tale of Two Linkings: Dynamically Gating between Schema Linking and Structural Linking for Text-to-SQL Parsing
COLING 2020
A Theory of Usable Information under Computational Constraints
ICLR 2020