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Interpretability
7318 directly classified papers
Papers per year
2003: 1
2006: 1
2007: 1
2008: 1
2009: 1
2010: 5
2012: 2
2013: 10
2014: 7
2015: 14
2016: 27
2017: 84
2018: 196
2019: 395
2020: 488
2021: 771
2022: 823
2023: 954
2024: 1360
2025: 1713
2026: 464
Papers
Coupling Distributed and Symbolic Execution for Natural Language Queries
ICML 2017
Learning Important Features Through Propagating Activation Differences
ICML 2017
Revisit Fuzzy Neural Network: Demystifying Batch Normalization and ReLU with Generalized Hamming Network
NIPS 2017
Fuzzy Logic Model for Digital Forensics: A Trade-off between Accuracy, Complexity and Interpretability
IJCAI 2017
Specular Highlight Removal in Facial Images
CVPR 2017
Rotated Word Vector Representations and their Interpretability
EMNLP 2017
Chatbot with a Discourse Structure-Driven Dialogue Management
EACL 2017
Temporal Attention-Gated Model for Robust Sequence Classification
CVPR 2017
Learning to Predict Charges for Criminal Cases with Legal Basis
EMNLP 2017
Network Dissection: Quantifying Interpretability of Deep Visual Representations
CVPR 2017
Automatic Extraction of News Values from Headline Text
EACL 2017
Epistemic-entrenchment Characterization of Parikh’s Axiom
IJCAI 2017
Making the v in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering
CVPR 2017
From Red Wine to Red Tomato: Composition With Context
CVPR 2017
QUINT: Interpretable Question Answering over Knowledge Bases
EMNLP 2017
Structural Embedding of Syntactic Trees for Machine Comprehension
EMNLP 2017
Top-Down Visual Saliency Guided by Captions
CVPR 2017
Program Induction by Rationale Generation: Learning to Solve and Explain Algebraic Word Problems
ACL 2017
Unsupervised, Knowledge-Free, and Interpretable Word Sense Disambiguation
EMNLP 2017
On Automating the Doctrine of Double Effect
IJCAI 2017
InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations
NIPS 2017
From Bayesian Sparsity to Gated Recurrent Nets
NIPS 2017
Concrete Problems for Autonomous Vehicle Safety: Advantages of Bayesian Deep Learning
IJCAI 2017
RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism
NIPS 2016
Inverting Visual Representations With Convolutional Networks
CVPR 2016
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