IJCAI 2017

781 papers

Hierarchical LSTM with Adjusted Temporal Attention for Video Captioning

Jingkuan Song, Lianli Gao, Zhao Guo, Wu Liu, Dongxiang Zhang

Learning Hedonic Games

Jakub Sliwinski, Yair Zick

Learning with Previously Unseen Features

Yuan Shi, Craig A. Knoblock

Accelerated Doubly Stochastic Gradient Algorithm for Large-scale Empirical Risk Minimization

Zebang Shen, Hui Qian, Tongzhou Mu, Chao Zhang

Learning Multi-level Region Consistency with Dense Multi-label Networks for Semantic Segmentation

Tong Shen, Guosheng Lin, Chunhua Shen, Ian Reid

Compressed Nonparametric Language Modelling

Ehsan Shareghi, Gholamreza Haffari, Trevor Cohn

Locally Consistent Bayesian Network Scores for Multi-Relational Data

Oliver Schulte, Sajjad Gholami

Convolutional-Match Networks for Question Answering

Spyridon Samothrakis, Tom Vodopivec, Michael Fairbank, Maria Fasli

LMPP: A Large Margin Point Process Combining Reinforcement and Competition for Modeling Hashtag Popularity

Bidisha Samanta, Abir De, Abhijnan Chakraborty, Niloy Ganguly

See without looking: joint visualization of sensitive multi-site datasets

Debbrata K. Saha, Vince D. Calhoun, Sandeep R. Panta, Sergey M. Plis

Right for the Right Reasons: Training Differentiable Models by Constraining their Explanations

Andrew Slavin Ross, Michael C. Hughes, Finale Doshi-velez

Distributed Accelerated Proximal Coordinate Gradient Methods

Yong Ren, Jun Zhu

Sense Beauty by Label Distribution Learning

Yi Ren, Xin Geng

Robust Softmax Regression for Multi-class Classification with Self-Paced Learning

Yazhou Ren, Peng Zhao, Yongpan Sheng, Dezhong Yao, Zenglin Xu

Stacking With Auxiliary Features

Nazneen Fatema Rajani, Raymond J. Mooney

A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction

Yao Qin, Dongjin Song, Haifeng Chen, Wei Cheng, Guofei Jiang

Improving Stochastic Block Models by Incorporating Power-Law Degree Characteristic

Maoying Qiao, Jun Yu, Wei Bian, Qiang Li, Dacheng Tao

On Subset Selection with General Cost Constraints

Chao Qian, Jing-Cheng Shi, Yang Yu, Ke Tang

Optimizing Ratio of Monotone Set Functions

Chao Qian, Jing-Cheng Shi, Yang Yu, Ke Tang, Zhi-Hua Zhou

Boosted Zero-Shot Learning with Semantic Correlation Regularization

Te Pi, Xi Li, Zhongfei (Mark) Zhang

Flexible Orthogonal Neighborhood Preserving Embedding

Tianji Pang, Feiping Nie, Junwei Han

Learning Homophily Couplings from Non-IID Data for Joint Feature Selection and Noise-Resilient Outlier Detection

Guansong Pang, Longbing Cao, Ling Chen, Huan Liu

Discovering Relevance-Dependent Bicluster Structure from Relational Data

Iku Ohama, Takuya Kida, Hiroki Arimura

SEVEN: Deep Semi-supervised Verification Networks

Vahid Noroozi, Lei Zheng, Sara Bahaadini, Sihong Xie, Philip S. Yu

Self-weighted Multiview Clustering with Multiple Graphs

Feiping Nie, Jing Li, Xuelong Li

Joint Capped Norms Minimization for Robust Matrix Recovery

Feiping Nie, Zhouyuan Huo, Heng Huang

Discriminative Bayesian Nonparametric Clustering

Vu Nguyen, Dinh Phung, Trung Le, Hung Bui

Large-scale Online Kernel Learning with Random Feature Reparameterization

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

Autonomous Task Sequencing for Customized Curriculum Design in Reinforcement Learning

Sanmit Narvekar, Jivko Sinapov, Peter Stone

Learning Feature Engineering for Classification

Fatemeh Nargesian, Horst Samulowitz, Udayan Khurana, Elias B. Khalil, Deepak Turaga

Self-Paced Multitask Learning with Shared Knowledge

Keerthiram Murugesan, Jaime Carbonell

Thresholding Bandits with Augmented UCB

Subhojyoti Mukherjee, Naveen Kolar Purushothama, Nandan Sudarsanam, Balaraman Ravindran

Completely Heterogeneous Transfer Learning with Attention - What And What Not To Transfer

Seungwhan Moon, Jaime Carbonell

Rescale-Invariant SVM for Binary Classification

Mojtaba Montazery, Nic Wilson

Beyond the Nystrom Approximation: Speeding up Spectral Clustering using Uniform Sampling and Weighted Kernel k-means

Mahesh Mohan, Claire Monteleoni

Logistic Markov Decision Processes

Martin Mladenov, Craig Boutilier, Dale Schuurmans, Ofer Meshi, Gal Elidan

Exemplar-centered Supervised Shallow Parametric Data Embedding

Martin Renqiang Min, Hongyu Guo, Dongjin Song

Count-Based Exploration in Feature Space for Reinforcement Learning

Jarryd Martin, Suraj Narayanan S., Tom Everitt, Marcus Hutter

Cross-Domain Recommendation: An Embedding and Mapping Approach

Tong Man, Huawei Shen, Xiaolong Jin, Xueqi Cheng

WALKING WALKing walking: Action Recognition from Action Echoes

Qianli Ma, Lifeng Shen, Enhuan Chen, Shuai Tian, Jiabing Wang

General Heterogeneous Transfer Distance Metric Learning via Knowledge Fragments Transfer

Yong Luo, Yonggang Wen, Tongliang Liu, Dacheng Tao

Exploiting High-Order Information in Heterogeneous Multi-Task Feature Learning

Yong Luo, Dacheng Tao, Yonggang Wen

Symmetric Non-negative Latent Factor Models for Undirected Large Networks

Xin Luo, Ming-Sheng Shang

EigenNet: Towards Fast and Structural Learning of Deep Neural Networks

Ping Luo

Adaptive Semi-Supervised Learning with Discriminative Least Squares Regression

Minnan Luo, Lingling Zhang, Feiping Nie, Xiaojun Chang, Buyue Qian

Tracking the Evolution of Customer Purchase Behavior Segmentation via a Fragmentation-Coagulation Process

Ling Luo, Bin Li, Irena Koprinska, Shlomo Berkovsky, Fang Chen

Image Matching via Loopy RNN

Donghao Luo, Bingbing Ni, Yichao Yan, Xiaokang Yang

Sampling for Approximate Maximum Search in Factorized Tensor

Zhi Lu, Yang Hu, Bing Zeng

Dynamic Weighted Majority for Incremental Learning of Imbalanced Data Streams with Concept Drift

Yang Lu, Yiu-ming Cheung, Yuan Yan Tang

JM-Net and Cluster-SVM for Aerial Scene Classification

Xiaoqiang lu, Yuan Yuan, Jie Fang

Learning User Dependencies for Recommendation

Yong Liu, Peilin Zhao, Xin Liu, Min Wu, Lixin Duan

Deep Ordinal Regression Based on Data Relationship for Small Datasets

Yanzhu Liu, Adams Wai Kin Kong, Chi Keong Goh

Understanding How Feature Structure Transfers in Transfer Learning

Tongliang Liu, Qiang Yang, Dacheng Tao

Adaptive Group Sparse Multi-task Learning via Trace Lasso

Sulin Liu, Sinno Jialin Pan

Learning Concise Representations of Users' Influences through Online Behaviors

Shenghua Liu, Houdong Zheng, Huawei Shen, Xueqi Cheng, Xiangwen Liao

Cause-Effect Knowledge Acquisition and Neural Association Model for Solving A Set of Winograd Schema Problems

Quan Liu, Hui Jiang, Andrew Evdokimov, Zhen-Hua Ling, Xiaodan Zhu

Accelerated Local Anomaly Detection via Resolving Attributed Networks

Ninghao Liu, Xiao Huang, Xia Hu

Improving Learning-from-Crowds through Expert Validation

Mengchen Liu, Liu Jiang, Junlin Liu, Xiting Wang, Jun Zhu

Fast SVM Trained by Divide-and-Conquer Anchors

Meng Liu, Chang Xu, Chao Xu, Dacheng Tao

Modeling Hebb Learning Rule for Unsupervised Learning

Jia Liu, Maoguo Gong, Qiguang Miao

Semi-supervised Orthogonal Graph Embedding with Recursive Projections

Hanyang Liu, Junwei Han, Feiping Nie

DeepFacade: A Deep Learning Approach to Facade Parsing

Hantang Liu, Jialiang Zhang, Jianke Zhu, Steven C. H. Hoi

Locally Linear Factorization Machines

Chenghao Liu, Teng Zhang, Peilin Zhao, Jun Zhou, Jianling Sun

Deep Neural Networks for High Dimension, Low Sample Size Data

Bo Liu, Ying Wei, Yu Zhang, Qiang Yang

Regional Concept Drift Detection and Density Synchronized Drift Adaptation

Anjin Liu, Yiliao Song, Guangquan Zhang, Jie Lu

Hybrid Neural Networks for Learning the Trend in Time Series

Tao LIN, Tian Guo, Karl Aberer

Discriminative Deep Hashing for Scalable Face Image Retrieval

Jie Lin, Zechao Li, Jinhui Tang

LoCaTe: Influence Quantification for Location Promotion in Location-based Social Networks

Ankita Likhyani, Srikanta Bedathur, Deepak P

Incomplete Attribute Learning with auxiliary labels

Kongming Liang, Yuhong Guo, Hong Chang, Xilin Chen

Integrating Specialized Classifiers Based on Continuous Time Markov Chain

Zhizhong Li, Dahua Lin

End-to-End Adversarial Memory Network for Cross-domain Sentiment Classification

Zheng Li, Yu Zhang, Ying Wei, Yuxiang Wu, Qiang Yang

Demystifying Neural Style Transfer

Yanghao Li, Naiyan Wang, Jiaying Liu, Xiaodi Hou

CFNN: Correlation Filter Neural Network for Visual Object Tracking

Yang Li, Zhan Xu, Jianke Zhu

Classification and Representation Joint Learning via Deep Networks

Ya Li, Xinmei Tian, Xu Shen, Dacheng Tao

MAM-RNN: Multi-level Attention Model Based RNN for Video Captioning

Xuelong Li, Bin Zhao, Xiaoqiang lu

Locality Adaptive Discriminant Analysis

Xuelong Li, Mulin Chen, Feiping Nie, Qi Wang

Person Re-Identification by Deep Joint Learning of Multi-Loss Classification

Wei Li, Xiatian Zhu, Shaogang Gong

Self-paced Compensatory Deep Boltzmann Machine for Semi-Structured Document Embedding

Shuangyin Li, Rong Pan, Jun Yan

Online Robust Low-Rank Tensor Learning

Ping Li, Jiashi Feng, Xiaojie Jin, Luming Zhang, Xianghua Xu

Affinity Learning for Mixed Data Clustering

Nan Li, Longin Jan Latecki

Multi-Stream Deep Similarity Learning Networks for Visual Tracking

Kunpeng Li, Yu Kong, Yun Fu

Reconstruction-based Unsupervised Feature Selection: An Embedded Approach

Jundong Li, Jiliang Tang, Huan Liu

Radar: Residual Analysis for Anomaly Detection in Attributed Networks

Jundong Li, Harsh Dani, Xia Hu, Huan Liu

Projective Low-rank Subspace Clustering via Learning Deep Encoder

Jun Li, Liu Hongfu, Handong Zhao, Yun Fu

Large-scale Subspace Clustering by Fast Regression Coding

Jun Li, Handong Zhao, Zhiqiang Tao, Yun Fu

Improving the Generalization Performance of Multi-class SVM via Angular Regularization

Jianxin Li, Haoyi Zhou, Pengtao Xie, Yingchun Zhang

Efficient Kernel Selection via Spectral Analysis

Jian Li, Yong Liu, Hailun Lin, Yinliang Yue, Weiping Wang

Learning User's Intrinsic and Extrinsic Interests for Point-of-Interest Recommendation: A Unified Approach

Huayu Li, Yong Ge, Defu Lian, Hao Liu

Self-paced Convolutional Neural Networks

Hao Li, Maoguo Gong

Effective Representing of Information Network by Variational Autoencoder

Hang Li, Haozheng Wang, Zhenglu Yang, Haochen Liu

High Dimensional Bayesian Optimization using Dropout

Cheng Li, Sunil Gupta, Santu Rana, Vu Nguyen, Svetha Venkatesh

Constrained Bayesian Reinforcement Learning via Approximate Linear Programming

Jongmin Lee, Youngsoo Jang, Pascal Poupart, Kee-eung Kim

Name Nationality Classification with Recurrent Neural Networks

Jinhyuk Lee, Hyunjae Kim, Miyoung Ko, Donghee Choi, Jaehoon Choi

Semantic Visualization for Short Texts with Word Embeddings

Tuan M. V. Le, Hady W. Lauw

Learning Sparse Representations in Reinforcement Learning with Sparse Coding

Lei Le, Raksha Kumaraswamy, Martha White

Basket-Sensitive Personalized Item Recommendation

Duc-Trong Le, Hady W. Lauw, Yuan Fang

Saliency Guided End-to-End Learning for Weakly Supervised Object Detection

Baisheng Lai, Xiaojin Gong

Earth Mover's Distance Pooling over Siamese LSTMs for Automatic Short Answer Grading

Sachin Kumar, Soumen Chakrabarti, Shourya Roy

Learning Latest Classifiers without Additional Labeled Data

Atsutoshi Kumagai, Tomoharu Iwata

Decreasing Uncertainty in Planning with State Prediction

Senka Krivić, Michael Cashmore, Daniele Magazzeni, Bram Ridder, Sandor Szedmak