Papers
Inductive Representation Learning on Large Graphs
Will Hamilton, Zhitao Ying, Jure Leskovec
Infant Footprint Recognition
Eryun Liu
Infected Phonemes: How a Cold Impairs Speech on a Phonetic Level
Johannes Wagner, Thiago Fraga-Silva, Yvan Josse et al.
Inference Compilation and Universal Probabilistic Programming
Tuan Anh Le, Atilim Gunes Baydin, Frank Wood
Inference in Graphical Models via Semidefinite Programming Hierarchies
Murat A Erdogdu, Yash Deshpande, Andrea Montanari
Inference is Everything: Recasting Semantic Resources into a Unified Evaluation Framework
Aaron Steven White, Pushpendre Rastogi, Kevin Duh et al.
Inferring and Executing Programs for Visual Reasoning
Justin Johnson, Bharath Hariharan, Laurens van der Maaten et al.
Inferring Generative Model Structure with Static Analysis
Paroma Varma, Bryan D He, Payal Bajaj et al.
Inferring Human Attention by Learning Latent Intentions
Ping Wei, Dan Xie, Nanning Zheng et al.
Inferring Implicit Event Locations from Context with Distributional Similarities
Jin-Woo Chung, Wonsuk Yang, Jinseon You et al.
Inferring Stance from Prosody
Nigel G. Ward, Jason C. Carlson, Olac Fuentes et al.
Infinite Latent Feature Selection: A Probabilistic Latent Graph-Based Ranking Approach
Giorgio Roffo, Simone Melzi, Umberto Castellani et al.
Infinite Variational Autoencoder for Semi-Supervised Learning
M. Ehsan Abbasnejad, Anthony Dick, Anton van den Hengel
Influence Maximization with $\varepsilon$-Almost Submodular Threshold Functions
Qiang Li, Wei Chen, Institute of Computing Xiaoming Sun et al.
InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations
Yunzhu Li, Jiaming Song, Stefano Ermon
Information Bottleneck Inspired Method For Chat Text Segmentation
S Vishal, Mohit Yadav, Lovekesh Vig et al.
Information-Geometric Optimization Algorithms: A Unifying Picture via Invariance Principles
Yann Ollivier, Ludovic Arnold, Anne Auger et al.
Information Projection and Approximate Inference for Structured Sparse Variables
Rajiv Khanna, Joydeep Ghosh, Rusell Poldrack et al.
Information-theoretic analysis of generalization capability of learning algorithms
Aolin Xu, Maxim Raginsky
Information-theoretic limits of Bayesian network structure learning
Asish Ghoshal, Jean Honorio
Information Theoretic Properties of Markov Random Fields, and their Algorithmic Applications
Linus Hamilton, Frederic Koehler, Ankur Moitra
Information-Theory Interpretation of the Skip-Gram Negative-Sampling Objective Function
Oren Melamud, Jacob Goldberger
INF-UFRGS at SemEval-2017 Task 5: A Supervised Identification of Sentiment Score in Tweets and Headlines
Tiago Zini, Karin Becker, Marcelo Dias
INGEOTEC at SemEval 2017 Task 4: A B4MSA Ensemble based on Genetic Programming for Twitter Sentiment Analysis
Sabino Miranda-Jiménez, Mario Graff, Eric Sadit Tellez et al.
Inhomogeneous Hypergraph Clustering with Applications
Pan Li, Olgica Milenkovic