ACML 2018

57 papers

Relative Attribute Learning with Deep Attentive Cross-image Representation

Zeshang Zhang, Yingming Li, Zhongfei Zhang

Refining Synthetic Images with Semantic Layouts by Adversarial Training

Tongtong Zhao, Yuxiao Yan, Jinjia Peng, HaoHui Wei, Xianping Fu

TVT: Two-View Transformer Network for Video Captioning

Ming Chen, Yingming Li, Zhongfei Zhang, Siyu Huang

Knowledge Guided Multi-instance Multi-label Learning via Neural Networks in Medicines Prediction

Junyuan Shang, Shenda Hong, Yuxi Zhou, Meng Wu, Hongyan Li

ASVRG: Accelerated Proximal SVRG

Fanhua Shang, Licheng Jiao, Kaiwen Zhou, James Cheng, Yan Ren

An Empirical Evaluation of Sketched SVD and its Application to Leverage Score Ordering

Hui Han Chin, Paul Pu Liang

RICAP: Random Image Cropping and Patching Data Augmentation for Deep CNNs

Ryo Takahashi, Takashi Matsubara, Kuniaki Uehara

Fast Dynamic Convolutional Neural Networks for Visual Tracking

Zhiyan Cui, Na Lu, Xue Jing, Xiahao Shi

A Joint Selective Mechanism for Abstractive Sentence Summarization

Junjie Fu, Gongshen Liu

Efficient Mechanisms for Peer Grading and Dueling Bandits

Chuang-Chieh Lin, Chi-Jen Lu

Boosting Dynamic Programming with Neural Networks for Solving NP-hard Problems

Feidiao Yang, Tiancheng Jin, Tie-yan Liu, Xiaoming Sun, Jialin Zhang

Fast Randomized PCA for Sparse Data

Xu Feng, Yuyang Xie, Mingye Song, Wenjian Yu, Jie Tang

Profitable Bandits

Mastane Achab, Stéphan Clémençon, Aurélien Garivier

A Data Driven Approach to Predicting Rating Scores for New Restaurants

Xiaochen Wang, Yanyan Shen, Yanmin Zhu

Deep Multi-instance Learning with Dynamic Pooling

Yongluan Yan, Xinggang Wang, Xiaojie Guo, Jiemin Fang, Wenyu Liu

SecureNets: Secure Inference of Deep Neural Networks on an Untrusted Cloud

Xuhui Chen, Jinlong Ji, Lixing Yu, Changqing Luo, Pan Li

A Self-Attentive Hierarchical Model for Jointly Improving Text Summarization and Sentiment Classification

Hongli Wang, Jiangtao Ren

Optimization Algorithm Inspired Deep Neural Network Structure Design

Huan Li, Yibo Yang, Dongmin Chen, Zhouchen Lin

Construction of Incoherent Dictionaries via Direct Babel Function Minimization

Huan Li, Zhouchen Lin

CCNet: Cluster-Coordinated Net for Learning Multi-agent Communication Protocols with Reinforcement Learning

Xin Wen, Zheng-Jun Zha, Zilei Wang, Liansheng Zhuang, Houqiang Li

Cartoon-to-Photo Facial Translation with Generative Adversarial Networks

Junhong Huang, Mingkui Tan, Yuguang Yan, Chunmei Qing, Qingyao Wu

Deep Embedded Clustering with Data Augmentation

Xifeng Guo, En Zhu, Xinwang Liu, Jianping Yin

Adversarial Neural Machine Translation

Lijun Wu, Yingce Xia, Fei Tian, Li Zhao, Tao Qin

Character-based BiLSTM-CRF Incorporating POS and Dictionaries for Chinese Opinion Target Extraction

Yanzeng Li, Tingwen Liu, Diying Li, Quangang Li, Jinqiao Shi

Collaboratively Weighting Deep and Classic Representation via l_2 Regularization for Image Classification

Shaoning Zeng, Bob Zhang, Yanghao Zhang, Jianping Gou

ZoomNet: Deep Aggregation Learning for High-Performance Small Pedestrian Detection

Chong Shang, Haizhou Ai, Zijie Zhuang, Long Chen, Junliang Xing

Who Are Raising Their Hands? Hand-Raiser Seeking Based on Object Detection and Pose Estimation

Huayi Zhou, Fei Jiang, Ruimin Shen

Stock Price Prediction Using Attention-based Multi-Input LSTM

Hao Li, Yanyan Shen, Yanmin Zhu

Extracting Invariant Features From Images Using An Equivariant Autoencoder

Denis Kuzminykh, Daniil Polykovskiy, Alexander Zhebrak

ReSet: Learning Recurrent Dynamic Routing in ResNet-like Neural Networks

Iurii Kemaev, Daniil Polykovskiy, Dmitry Vetrov

Concorde: Morphological Agreement in Conversational Models

Daniil Polykovskiy, Dmitry Soloviev, Sergey Nikolenko

Adversarial TableQA: Attention Supervision for Question Answering on Tables

Minseok Cho, Reinald Kim Amplayo, Seung-won Hwang, Jonghyuck Park

Unsupervised Heterogeneous Domain Adaptation with Sparse Feature Transformation

Chen Shen, Yuhong Guo

Batch Normalized Deep Boltzmann Machines

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

A Faster Sampling Algorithm for Spherical k-means

Rameshwar Pratap, Anup Deshmukh, Pratheeksha Nair, Tarun Dutt

Deep Fully-Connected Part-Based Models for Human Pose Estimation

Rodrigo de Bem, Anurag Arnab, Stuart Golodetz, Michael Sapienza, Philip Torr

Preconditioned Conjugate Gradient Methods in Truncated Newton Frameworks for Large-scale Linear Classification

Chih-Yang Hsia, Wei-Lin Chiang, Chih-Jen Lin

Underwater Image Restoration Based on Convolutional Neural Network

Yan Hu, Keyan Wang, Xi Zhao, Hui Wang, Yunsong Li

Making Classifier Chains Resilient to Class Imbalance

Bin Liu, Grigorios Tsoumakas

A Scalable Heterogeneous Parallel SOM Based on MPI/CUDA

Yao Liu, Jun Sun, Qing Yao, Su Wang, Kai Zheng

End-to-End Time Series Imputation via Residual Short Paths

Lifeng Shen, Qianli Ma, Sen Li

Clustering Uncertain Graphs with Node Attributes

Yafang Li, Xiangnan Kong, Caiyan Jia, Jianqiang Li

Person Re-identification by Mid-level Attribute and Part-based Identity Learning

Guopeng Zhang, Jinhua Xu

Discriminative Feature Representation for Person Re-identification by Batch-contrastive Loss

Guopeng Zhang, Jinhua Xu

Distinguishing Question Subjectivity from Difficulty for Improved Crowdsourcing

Yuan Jin, Mark Carman, Ye Zhu, Wray Buntine

Hypernetwork-based Implicit Posterior Estimation and Model Averaging of CNN

Kenya Ukai, Takashi Matsubara, Kuniaki Uehara

CHS-NET: A Cascaded Neural Network with Semi-Focal Loss for Mitosis Detection

Yanbo Ma, Jiarui Sun, Qiuhao Zhou, Kaili Cheng, Xuesong Chen

Joint Patch-Group Based Sparse Representation for Image Inpainting

Zhiyuan Zha, Xin Yuan, Bihan Wen, Jiantao Zhou, Ce Zhu

Clustering Induced Kernel Learning

Khanh Nguyen, Nhan Dam, Trung Le, Tu Dinh Nguyen, Dinh Phung

Learning Selfie-Friendly Abstraction from Artistic Style Images

Yicun Liu, Jimmy Ren, Jianbo Liu, Xiaohao Chen

Multidimensional Time Series Anomaly Detection: A GRU-based Gaussian Mixture Variational Autoencoder Approach

Yifan Guo, Weixian Liao, Qianlong Wang, Lixing Yu, Tianxi Ji

End-to-End Learning of Multi-scale Convolutional Neural Network for Stereo Matching

Li Zhang, Quanhong Wang, Haihua Lu, Yong Zhao

Structured Gaussian Processes with Twin Multiple Kernel Learning

Çiğdem Ak, Önder Ergönül, Mehmet Gönen

RDEC: Integrating Regularization into Deep Embedded Clustering for Imbalanced Datasets

Yaling Tao, Kentaro Takagi, Kouta Nakata

Feature-correlation-aware Gaussian Process Latent Variable Model

Ping Li, Songcan Chen

Co-regularized Multi-view Subspace Clustering

Hong Yu, Tiantian Zhang, Yahong Lian, Yu Cai

Deep Correlation Structure Preserved Label Space Embedding for Multi-label Classification

Kaixiang Wang, Ming Yang, Wanqi Yang, Yilong Yin