IJCAI 2018

870 papers

A Bayesian Latent Variable Model of User Preferences with Item Context

Aghiles Salah, Hady W. Lauw

Online Deep Learning: Learning Deep Neural Networks on the Fly

Doyen Sahoo, Quang Pham, Jing LU, Steven C. H. Hoi

Reachability Analysis of Deep Neural Networks with Provable Guarantees

Wenjie Ruan, Xiaowei Huang, Marta Kwiatkowska

Robust Auto-Weighted Multi-View Clustering

Pengzhen Ren, Yun Xiao, Pengfei Xu, Jun Guo, Xiaojiang Chen

Adversarial Constraint Learning for Structured Prediction

Hongyu Ren, Russell Stewart, Jiaming Song, Volodymyr Kuleshov, Stefano Ermon

Cross-modal Bidirectional Translation via Reinforcement Learning

Jinwei Qi, Yuxin Peng

Label Embedding Based on Multi-Scale Locality Preservation

Cheng-Lun Peng, An Tao, Xin Geng

Generalization-Aware Structured Regression towards Balancing Bias and Variance

Martin Pavlovski, Fang Zhou, Nino Arsov, Ljupco Kocarev, Zoran Obradovic

Adversarially Regularized Graph Autoencoder for Graph Embedding

Shirui Pan, Ruiqi Hu, Guodong Long, Jing Jiang, Lina Yao

Multinomial Logit Bandit with Linear Utility Functions

Mingdong Ou, Nan Li, Shenghuo Zhu, Rong Jin

A Degeneracy Framework for Graph Similarity

Giannis Nikolentzos, Polykarpos Meladianos, Stratis Limnios, Michalis Vazirgiannis

CAGAN: Consistent Adversarial Training Enhanced GANs

Yao Ni, Dandan Song, Xi Zhang, Hao Wu, Lejian Liao

An Information Theory based Approach to Multisource Clustering

Pierre-Alexandre Murena, Jérémie Sublime, Basarab Matei, Antoine Cornuéjols

Neural Machine Translation with Key-Value Memory-Augmented Attention

Fandong Meng, Zhaopeng Tu, Yong Cheng, Haiyang Wu, Junjie Zhai

Interactive Optimal Teaching with Unknown Learners

Francisco S. Melo, Carla Guerra, Manuel Lopes

Spectral Feature Scaling Method for Supervised Dimensionality Reduction

Momo Matsuda, Keiichi Morikuni, Tetsuya Sakurai

Unpaired Multi-Domain Image Generation via Regularized Conditional GANs

Xudong Mao, Qing Li

On Q-learning Convergence for Non-Markov Decision Processes

Sultan Javed Majeed, Marcus Hutter

Self-Representative Manifold Concept Factorization with Adaptive Neighbors for Clustering

Sihan Ma, Lefei Zhang, Wenbin Hu, Yipeng Zhang, Jia Wu

Hierarchical Active Learning with Group Proportion Feedback

Zhipeng Luo, Milos Hauskrecht

Online Heterogeneous Transfer Metric Learning

Yong Luo, Tongliang Liu, Yonggang Wen, Dacheng Tao

SDMCH: Supervised Discrete Manifold-Embedded Cross-Modal Hashing

Xin Luo, Xiao-Ya Yin, Liqiang Nie, Xuemeng Song, Yongxin Wang

AAR-CNNs: Auto Adaptive Regularized Convolutional Neural Networks

Yao Lu, Guangming Lu, Yuanrong Xu, Bob Zhang

Exact Low Tubal Rank Tensor Recovery from Gaussian Measurements

Canyi Lu, Jiashi Feng, Zhouchen Lin, Shuicheng Yan

Fast Cross-Validation

Yong Liu, Hailun Lin, Lizhong Ding, Weiping Wang, Shizhong Liao

Zero Shot Learning via Low-rank Embedded Semantic AutoEncoder

Yang Liu, Quanxue Gao, Jin Li, Jungong Han, Ling Shao

Learning with Adaptive Neighbors for Image Clustering

Yang Liu, Quanxue Gao, Zhaohua Yang, Shujian Wang

Exploiting Graph Regularized Multi-dimensional Hawkes Processes for Modeling Events with Spatio-temporal Characteristics

Yanchi Liu, Tan Yan, Haifeng Chen

Toward Designing Convergent Deep Operator Splitting Methods for Task-specific Nonconvex Optimization

Risheng Liu, Shichao Cheng, Yi He, Xin Fan, Zhongxuan Luo

Contextual Outlier Interpretation

Ninghao Liu, Donghwa Shin, Xia Hu

High-Order Co-Clustering via Strictly Orthogonal and Symmetric L1-Norm Nonnegative Matrix Tri-Factorization

Kai Liu, Hua Wang

Structured Inference for Recurrent Hidden Semi-markov Model

Hao Liu, LIRONG HE, Haoli Bai, Bo Dai, Kun Bai

UCBoost: A Boosting Approach to Tame Complexity and Optimality for Stochastic Bandits

Fang Liu, Sinong Wang, Swapna Buccapatnam, Ness Shroff

Episodic Memory Deep Q-Networks

Zichuan Lin, Tianqi Zhao, Guangwen Yang, Lintao Zhang

Accelerating Convolutional Networks via Global & Dynamic Filter Pruning

Shaohui Lin, Rongrong Ji, Yuchao Li, Yongjian Wu, Feiyue Huang

Unsupervised Disentangled Representation Learning with Analogical Relations

Zejian Li, Yongchuan Tang, Yongxing He

R-SVM+: Robust Learning with Privileged Information

Xue Li, Bo Du, Chang Xu, Yipeng Zhang, Lefei Zhang

Variance Reduction in Black-box Variational Inference by Adaptive Importance Sampling

Ximing Li, Changchun Li, Jinjin Chi, Jihong Ouyang

Deep Joint Semantic-Embedding Hashing

Ning Li, CHAO LI, Cheng Deng, Xianglong Liu, Xinbo Gao

Finite Sample Analysis of LSTD with Random Projections and Eligibility Traces

Haifang Li, Yingce Xia, Wensheng Zhang

Optimization based Layer-wise Magnitude-based Pruning for DNN Compression

Guiying Li, Chao Qian, Chunhui Jiang, Xiaofen Lu, Ke Tang

Generalization Bounds for Regularized Pairwise Learning

Yunwen Lei, Shao-Bo Lin, Ke Tang

Z-Transforms and its Inference on Partially Observable Point Processes

Young Lee, Thanh Vinh Vo, Kar Wai Lim, Harold Soh

Open Loop Execution of Tree-Search Algorithms

Erwan Lecarpentier, Guillaume Infantes, Charles Lesire, Emmanuel Rachelson

Geometric Enclosing Networks

Trung Le, Hung Vu, Tu Dinh Nguyen, Dinh Phung

A Property Testing Framework for the Theoretical Expressivity of Graph Kernels

Nils M. Kriege, Christopher Morris, Anja Rey, Christian Sohler

HST-LSTM: A Hierarchical Spatial-Temporal Long-Short Term Memory Network for Location Prediction

Dejiang Kong, Fei Wu

Learning SMT(LRA) Constraints using SMT Solvers

Samuel Kolb, Stefano Teso, Andrea Passerini, Luc De Raedt

Temporal Belief Memory: Imputing Missing Data during RNN Training

Yeo Jin Kim, Min Chi

Network Approximation using Tensor Sketching

Shiva Prasad Kasiviswanathan, Nina Narodytska, Hongxia Jin

Self-weighted Multiple Kernel Learning for Graph-based Clustering and Semi-supervised Classification

Zhao Kang, Xiao Lu, Jinfeng Yi, Zenglin Xu

Automatic Gating of Attributes in Deep Structure

Xiaoming Jin, Tao He, Cheng Wan, Lan Yi, guiguang ding

Efficient DNN Neuron Pruning by Minimizing Layer-wise Nonlinear Reconstruction Error

Chunhui Jiang, Guiying Li, Chao Qian, Ke Tang

Combinatorial Pure Exploration with Continuous and Separable Reward Functions and Its Applications

Weiran Huang, Jungseul Ok, Liang Li, Wei Chen

A Normalized Convolutional Neural Network for Guided Sparse Depth Upsampling

Jiashen Hua, Xiaojin Gong

Experienced Optimization with Reusable Directional Model for Hyper-Parameter Search

Yi-Qi Hu, Yang Yu, Zhi-Hua Zhou

Summarizing Source Code with Transferred API Knowledge

Xing Hu, Ge Li, Xin Xia, David Lo, Shuai Lu

Doubly Aligned Incomplete Multi-view Clustering

Menglei Hu, Songcan Chen

Generative Adversarial Positive-Unlabelled Learning

Ming Hou, Brahim Chaib-draa, CHAO LI, Qibin Zhao

Preventing Disparate Treatment in Sequential Decision Making

Hoda Heidari, Andreas Krause

Time-evolving Text Classification with Deep Neural Networks

Yu He, Jianxin Li, Yangqiu Song, Mutian He, Hao Peng

Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks

Yang He, Guoliang Kang, Xuanyi Dong, Yanwei Fu, Yi Yang

Outer Product-based Neural Collaborative Filtering

Xiangnan He, Xiaoyu Du, Xiang Wang, Feng Tian, Jinhui Tang

Differential Equations for Modeling Asynchronous Algorithms

LI He, Qi Meng, Wei Chen, Zhi-ming Ma, Tie-yan Liu

MIXGAN: Learning Concepts from Different Domains for Mixture Generation

Guang-Yuan Hao, Hong-Xing Yu, Wei-Shi Zheng

Replicating Active Appearance Model by Generator Network

Tian Han, Jiawen Wu, Ying Nian Wu

Experimental Design under the Bradley-Terry Model

Yuan Guo, Peng Tian, Jayashree Kalpathy-Cramer, Susan Ostmo, J.Peter Campbell

INITIATOR: Noise-contrastive Estimation for Marked Temporal Point Process

Ruocheng Guo, Jundong Li, Huan Liu

Energy-efficient Amortized Inference with Cascaded Deep Classifiers

Jiaqi Guan, Yang Liu, Qiang Liu, Jian Peng

Regularizing Deep Neural Networks with an Ensemble-based Decorrelation Method

Shuqin Gu, Yuexian Hou, Lipeng Zhang, Yazhou Zhang

Accelerated Asynchronous Greedy Coordinate Descent Algorithm for SVMs

Bin Gu, Yingying Shan, Xiang Geng, Guansheng Zheng

Faster Training Algorithms for Structured Sparsity-Inducing Norm

Bin Gu, Xingwang Ju, Xiang Li, Guansheng Zheng

Teaching Semi-Supervised Classifier via Generalized Distillation

Chen Gong, Xiaojun Chang, Meng Fang, Jian Yang

Scalable Rule Learning via Learning Representation

Pouya Ghiasnezhad Omran, Kewen Wang, Zhe Wang

Active Discriminative Network Representation Learning

Li Gao, Hong Yang, Chuan Zhou, Jia Wu, Shirui Pan

Cuckoo Feature Hashing: Dynamic Weight Sharing for Sparse Analytics

Jinyang Gao, Beng Chin Ooi, Yanyan Shen, Wang-Chien Lee

Stochastic Second-Order Method for Large-Scale Nonconvex Sparse Learning Models

Hongchang Gao, Heng Huang

Joint Generative Moment-Matching Network for Learning Structural Latent Code

Hongchang Gao, Heng Huang

Complementary Binary Quantization for Joint Multiple Indexing

Qiang Fu, Xu Han, Xianglong Liu, Jingkuan Song, Cheng Deng

Leveraging Latent Label Distributions for Partial Label Learning

Lei Feng, Bo An

A Novel Data Representation for Effective Learning in Class Imbalanced Scenarios

Sri Harsha Dumpala, Rupayan Chakraborty, Sunil Kumar Kopparapu

Quantum Divide-and-Conquer Anchoring for Separable Non-negative Matrix Factorization

Yuxuan Du, Tongliang Liu, Yinan Li, Runyao Duan, Dacheng Tao

Dynamic Network Embedding : An Extended Approach for Skip-gram based Network Embedding

Lun Du, Yun Wang, Guojie Song, Zhicong Lu, Junshan Wang

Galaxy Network Embedding: A Hierarchical Community Structure Preserving Approach

Lun Du, Zhicong Lu, Yun Wang, Guojie Song, Yiming Wang

Counterexample-Guided Data Augmentation

Tommaso Dreossi, Shromona Ghosh, Xiangyu Yue, Kurt Keutzer, Alberto Sangiovanni-Vincentelli

Adaptive Collaborative Similarity Learning for Unsupervised Multi-view Feature Selection

Xiao Dong, LEI ZHU, Xuemeng Song, Jingjing Li, Zhiyong Cheng

Behavior of Analogical Inference w.r.t. Boolean Functions

Miguel Couceiro, Nicolas Hug, Henri Prade, Gilles Richard

Unifying and Merging Well-trained Deep Neural Networks for Inference Stage

Yi-Min Chou, Yi-Ming Chan, Jia-Hong Lee, Chih-Yi Chiu, Chu-Song Chen

Causal Inference in Time Series via Supervised Learning

Yoichi Chikahara, Akinori Fujino

Solving Separable Nonsmooth Problems Using Frank-Wolfe with Uniform Affine Approximations

Edward Cheung, Yuying Li

Distributed Primal-Dual Optimization for Non-uniformly Distributed Data

Minhao Cheng, Cho-jui Hsieh

Adversarial Metric Learning

Shuo Chen, Chen Gong, Jian Yang, Xiang Li, Yang Wei

Tri-net for Semi-Supervised Deep Learning

Dong-Dong Chen, Wei Wang, Wei Gao, Zhi-Hua Zhou

Convolutional Neural Networks based Click-Through Rate Prediction with Multiple Feature Sequences

Patrick P. K. Chan, Xian Hu, Lili Zhao, Daniel S. Yeung, Dapeng Liu

Small-Variance Asymptotics for Nonparametric Bayesian Overlapping Stochastic Blockmodels

Gundeep Arora, Anupreet Porwal, Kanupriya Agarwal, Avani Samdariya, Piyush Rai

Finding Frequent Entities in Continuous Data

Ferran Alet, Rohan Chitnis, Leslie P. Kaelbling, Tomás Lozano-Pérez

On Concept Forgetting in Description Logics with Qualified Number Restrictions

Yizheng Zhao, Renate Schmidt

Inconsistency Measures for Repair Semantics in OBDA

Bruno Yun, Srdjan Vesic, Madalina Croitoru, Pierre Bisquert

Consequence-based Reasoning for Description Logics with Disjunction, Inverse Roles, Number Restrictions, and Nominals

David Tena Cucala, Bernardo Cuenca Grau, Ian Horrocks

Reasoning about Betweenness and RCC8 Constraints in Qualitative Conceptual Spaces

Steven Schockaert, Sanjiang Li