Papers
Beyond the Nystrom Approximation: Speeding up Spectral Clustering using Uniform Sampling and Weighted Kernel k-means
Mahesh Mohan, Claire Monteleoni
Beyond Universal Saliency: Personalized Saliency Prediction with Multi-task CNN
Yanyu Xu, Nianyi Li, Junru Wu et al.
Bilateral Multi-Perspective Matching for Natural Language Sentences
Zhiguo Wang, Wael Hamza, Radu Florian
Binary Linear Compression for Multi-label Classification
Wen-Ji Zhou, Yang Yu, Min-Ling Zhang
Blockedness in Propositional Logic: Are You Satisfied With Your Neighborhood?
Benjamin Kiesl, Martina Seidl, Hans Tompits et al.
Blue Skies: A Methodology for Data-Driven Clear Sky Modelling
Kartik Palani, Ramachandra Kota, Amar Prakash Azad et al.
Boosted Zero-Shot Learning with Semantic Correlation Regularization
Te Pi, Xi Li, Zhongfei (Mark) Zhang
Bounded Timed Propositional Temporal Logic with Past Captures Timeline-based Planning with Bounded Constraints
Dario Della Monica, Nicola Gigante, Angelo Montanari et al.
Bounding the Inefficiency of Compromise
Ioannis Caragiannis, Panagiotis Kanellopoulos, Alexandros A. Voudouris
Bridging the Gap between Observation and Decision Making: Goal Recognition and Flexible Resource Allocation in Dynamic Network Interdiction
Kai Xu, Kaiming Xiao, Quanjun Yin et al.
Budget-Constrained Dynamics in Multiagent Systems
Rui Cao, Pavel Naumov
Cake Cutting: Envy and Truth
Xiaohui Bei, Ning Chen, Guangda Huzhang et al.
Cardinality Encodings for Graph Optimization Problems
Alexey Ignatiev, Antonio Morgado, Joao Marques-Silva
Cascade Dynamics Modeling with Attention-based Recurrent Neural Network
Yongqing Wang, Huawei Shen, Shenghua Liu et al.
Category-aware Next Point-of-Interest Recommendation via Listwise Bayesian Personalized Ranking
Jing He, Xin Li, Lejian Liao
Causal Discovery from Nonstationary/Heterogeneous Data: Skeleton Estimation and Orientation Determination
Kun Zhang, Biwei Huang, Jiji Zhang et al.
Cause-Effect Knowledge Acquisition and Neural Association Model for Solving A Set of Winograd Schema Problems
Quan Liu, Hui Jiang, Andrew Evdokimov et al.
CCEHC: An Efficient Local Search Algorithm for Weighted Partial Maximum Satisfiability (Extended Abstract)
Chuan Luo, Shaowei Cai, Kaile Su et al.
CFNN: Correlation Filter Neural Network for Visual Object Tracking
Yang Li, Zhan Xu, Jianke Zhu
Characterising the Manipulability of Boolean Games
Paul Harrenstein, Paolo Turrini, Michael Wooldridge
CHARDA: Causal Hybrid Automata Recovery via Dynamic Analysis
Adam Summerville, Joseph Osborn, Michael Mateas
Classical Generalized Probabilistic Satisfiability
Carlos Caleiro, Filipe Casal, Andreia Mordido
Classification and Representation Joint Learning via Deep Networks
Ya Li, Xinmei Tian, Xu Shen et al.
Clustering-Based Relational Unsupervised Representation Learning with an Explicit Distributed Representation
Sebastijan Dumancic, Hendrik Blockeel
Coarse-to-Fine Lifted MAP Inference in Computer Vision
Haroun Habeeb, Ankit Anand, Mausam et al.