Papers
Interpolated Convolutional Networks for 3D Point Cloud Understanding
Jiageng Mao, Xiaogang Wang, Hongsheng Li
Interpolated Spectral NGram Language Models
Ariadna Quattoni, Xavier Carreras
Interpolating between Optimal Transport and MMD using Sinkhorn Divergences
Jean Feydy, Thibault Séjourné, François-Xavier Vialard et al.
Interpolation Consistency Training for Semi-supervised Learning
Vikas Verma, Alex Lamb, Juho Kannala et al.
Interpolation-Prediction Networks for Irregularly Sampled Time Series
Satya Narayan Shukla, Benjamin Marlin
Interpretable Almost-Exact Matching for Causal Inference
Awa Dieng, Yameng Liu, Sudeepa Roy et al.
Interpretable Almost Matching Exactly With Instrumental Variables
M. Usaid Awan, Yameng Liu, Marco Morucci et al.
Interpretable and Fine-Grained Visual Explanations for Convolutional Neural Networks
Jorg Wagner, Jan Mathias Kohler, Tobias Gindele et al.
Interpretable Cascade Classifiers with Abstention
Matthieu Clertant, Nataliya Sokolovska, Yann Chevaleyre et al.
Interpretable Deep Learning Model for the Detection and Reconstruction of Dysarthric Speech
Daniel Korzekwa, Roberto Barra-Chicote, Bozena Kostek et al.
Interpretable Neural Predictions with Differentiable Binary Variables
Jasmijn Bastings, Wilker Aziz, Ivan Titov
Interpretable Predictive Modeling for Climate Variables with Weighted Lasso
Sijie He, Xinyan Li, Vidyashankar Sivakumar et al.
Interpretable Question Answering on Knowledge Bases and Text
Alona Sydorova, Nina Poerner, Benjamin Roth
Interpretable Relevant Emotion Ranking with Event-Driven Attention
Yang Yang, Deyu Zhou, Yulan He et al.
Interpretable Relevant Emotion Ranking with Event-Driven Attention
Yang Yang, Deyu Zhou, Yulan He et al.
Interpretable Word Embeddings via Informative Priors
Miriam Hurtado Bodell, Martin Arvidsson, Måns Magnusson
Interpretable Word Embeddings via Informative Priors
Miriam Hurtado Bodell, Martin Arvidsson, Måns Magnusson
Interpretation of Neural Networks Is Fragile
Amirata Ghorbani, Abubakar Abid, James Zou
Interpreting Adversarially Trained Convolutional Neural Networks
Tianyuan Zhang, Zhanxing Zhu
Interpreting and Evaluating Neural Network Robustness
Fuxun Yu, Zhuwei Qin, Chenchen Liu et al.
Interpreting and Improving Deep Neural SLU Models via Vocabulary Importance
Yilin Shen, Wenhu Chen, Hongxia Jin
Interpreting Black Box Predictions using Fisher Kernels
Rajiv Khanna, Been Kim, Joydeep Ghosh et al.