Papers
Interpretable and Globally Optimal Prediction for Textual Grounding using Image Concepts
Raymond Yeh, Jinjun Xiong, Wen-Mei Hwu et al.
Interpretable Explanations of Black Boxes by Meaningful Perturbation
Ruth C. Fong, Andrea Vedaldi
Interpretable Learning for Self-Driving Cars by Visualizing Causal Attention
Jinkyu Kim, John Canny
Interpretable Objective Assessment of Dysarthric Speech Based on Deep Neural Networks
Ming Tu, Visar Berisha, Julie Liss
Interpretable Structure-Evolving LSTM
Xiaodan Liang, Liang Lin, Xiaohui Shen et al.
Interpretable Transformations With Encoder-Decoder Networks
Daniel E. Worrall, Stephan J. Garbin, Daniyar Turmukhambetov et al.
Inter-Speaker Variability: Speaker Normalisation and Quantitative Estimation of Articulatory Invariants in Speech Production for French
Antoine Serrurier, Pierre Badin, Louis-Jean Boë et al.
Interspecies Knowledge Transfer for Facial Keypoint Detection
Maheen Rashid, Xiuye Gu, Yong Jae Lee
Inter-Weighted Alignment Network for Sentence Pair Modeling
Gehui Shen, Yunlun Yang, Zhi-Hong Deng
InToEventS: An Interactive Toolkit for Discovering and Building Event Schemas
Germán Ferrero, Audi Primadhanty, Ariadna Quattoni
Intonation Facilitates Prediction of Focus Even in the Presence of Lexical Tones
Martin Ho Kwan Ip, Anne Cutler
Intonation of Contrastive Topic in Estonian
Heete Sahkai, Meelis Mihkla
Intrinsic 3D Dynamic Surface Tracking Based on Dynamic Ricci Flow and Teichmuller Map
Xiaokang Yu, Na Lei, Yalin Wang et al.
Intrinsic3D: High-Quality 3D Reconstruction by Joint Appearance and Geometry Optimization With Spatially-Varying Lighting
Robert Maier, Kihwan Kim, Daniel Cremers et al.
Intrinsic Grassmann Averages for Online Linear and Robust Subspace Learning
Rudrasis Chakraborty, Soren Hauberg, Baba C. Vemuri
Introducing Weighted Kernel Classifiers for Handling Imbalanced Paralinguistic Corpora: Snoring, Addressee and Cold
Heysem Kaya, Alexey A. Karpov
Introspective Classification with Convolutional Nets
Long Jin, Justin Lazarow, Zhuowen Tu
Introspective Evaluation of Perception Performance for Parameter Tuning without Ground Truth
Humphrey Hu, George Kantor
Introspective Neural Networks for Generative Modeling
Justin Lazarow, Long Jin, Zhuowen Tu
Intuitionistic Layered Graph Logic
Simon Docherty, David Pym
Invariance and Stability of Deep Convolutional Representations
Alberto Bietti, Julien Mairal
Inverse Compositional Spatial Transformer Networks
Chen-Hsuan Lin, Simon Lucey
Inverse Covariance Estimation with Structured Groups
Shaozhe Tao, Yifan Sun, Daniel Boley
Inverse Filtering for Hidden Markov Models
Robert Mattila, Cristian Rojas, Vikram Krishnamurthy et al.
Inverse Reward Design
Dylan Hadfield-Menell, Smitha Milli, Pieter Abbeel et al.