Papers
Interpretable and Compositional Relation Learning by Joint Training with an Autoencoder
Ryo Takahashi, Ran Tian, Kentaro Inui
Interpretable Charge Predictions for Criminal Cases: Learning to Generate Court Views from Fact Descriptions
Hai Ye, Xin Jiang, Zhunchen Luo et al.
Interpretable Convolutional Neural Networks
Quanshi Zhang, Ying Nian Wu, Song-Chun Zhu
Interpretable Counting for Visual Question Answering
Alexander Trott, Caiming Xiong, Richard Socher
Interpretable Drug Target Prediction Using Deep Neural Representation
Kyle Yingkai Gao, Achille Fokoue, Heng Luo et al.
Interpretable Emoji Prediction via Label-Wise Attention LSTMs
Francesco Barbieri, Luis Espinosa-Anke, Jose Camacho-Collados et al.
Interpretable Latent Spaces for Learning from Demonstration
Yordan Hristov, Alex Lascarides, Subramanian Ramamoorthy
Interpretable Neural Architectures for Attributing an Ad’s Performance to its Writing Style
Reid Pryzant, Sugato Basu, Kazoo Sone
Interpretable Rationale Augmented Charge Prediction System
Xin Jiang, Hai Ye, Zhunchen Luo et al.
Interpretable Recommendation via Attraction Modeling: Learning Multilevel Attractiveness over Multimodal Movie Contents
Liang Hu, Songlei Jian, Longbing Cao et al.
Interpretable Structure Induction via Sparse Attention
Ben Peters, Vlad Niculae, André F. T. Martins
Interpretable Textual Neuron Representations for NLP
Nina Poerner, Benjamin Roth, Hinrich Schütze
Interpretable Video Captioning via Trajectory Structured Localization
Xian Wu, Guanbin Li, Qingxing Cao et al.
Interpretable Word Embedding Contextualization
Kyoung-Rok Jang, Sung-Hyon Myaeng, Sang-Bum Kim
Interpretation of Implicit Conditions in Database Search Dialogues
Shunya Fukunaga, Hitoshi Nishikawa, Takenobu Tokunaga et al.
Interpretation of Natural Language Rules in Conversational Machine Reading
Marzieh Saeidi, Max Bartolo, Patrick Lewis et al.
Interpreting Neural Network Judgments via Minimal, Stable, and Symbolic Corrections
Xin Zhang, Armando Solar-Lezama, Rishabh Singh
Interpreting Neural Networks with Nearest Neighbors
Eric Wallace, Shi Feng, Jordan Boyd-Graber
Interpreting Recurrent and Attention-Based Neural Models: a Case Study on Natural Language Inference
Reza Ghaeini, Xiaoli Fern, Prasad Tadepalli
Interpreting Word-Level Hidden State Behaviour of Character-Level LSTM Language Models
Avery Hiebert, Cole Peterson, Alona Fyshe et al.
Interpret Neural Networks by Identifying Critical Data Routing Paths
Yulong Wang, Hang Su, Bo Zhang et al.
Intersection-Validation: A Method for Evaluating Structure Learning without Ground Truth
Jussi Viinikka, Ralf Eggeling, Mikko Koivisto
Intervals of Causal Effects for Learning Causal Graphical Models
Samuel Montero-Hernandez, Felipe Orihuela-Espina, Luis Enrique Sucar
Intervention Aided Reinforcement Learning for Safe and Practical Policy Optimization in Navigation
Fan Wang, Bo Zhou, Ke Chen et al.