ACML 2019

79 papers

G-UAP: Generic Universal Adversarial Perturbation that Fools RPN-based Detectors

Xing Wu, Lifeng Huang, Chengying Gao

From Implicit to Explicit Feedback: A deep neural network for modeling the sequential behavior of online users

Anh Phan Tuan, Nhat Nguyen Trong, Duong Bui Trong, Linh Ngo Van, Khoat Than

Cell-aware Stacked LSTMs for Modeling Sentences

Jihun Choi, Taeuk Kim, Sang-goo Lee

Improving Relation Classification by Entity Pair Graph

Yi Zhao, Huaiyu Wan, Jianwei Gao, Youfang Lin

Forward-Backward Generative Adversarial Networks for Anomaly Detection

Youngnam Kim, Seungjin Choi

Geometry-Aware Maximum Likelihood Estimation of Intrinsic Dimension

Marina Gomtsyan, Nikita Mokrov, Maxim Panov, Yury Yanovich

Learning to Aggregate: Tackling the Aggregation/Disaggregation Problem for OWA

Vitalik Melnikov, Eyke Hüllermeier

Stochastic Gradient Trees

Henry Gouk, Bernhard Pfahringer, Eibe Frank

Effective Sentence Scoring Method Using BERT for Speech Recognition

Joonbo Shin, Yoonhyung Lee, Kyomin Jung

Hyperbolic Ordinal Embedding

Atsushi Suzuki, Jing Wang, Feng Tian, Atsushi Nitanda, Kenji Yamanishi

SDC-causing Error Detection Based on Lightweight Vulnerability Prediction

Cheng Liu, Jingjing Gu, Zujia Yan, Fuzhen Zhuang, Yunyun Wang

Trust Region Sequential Variational Inference

Geon-hyeong Kim, Youngsoo Jang, Jongmin Lee, Wonseok Jeon, Hongseok Yang

Active Change-Point Detection

Shogo Hayashi, Yoshinobu Kawahara, Hisashi Kashima

Self-Supervised Deep Multi-View Subspace Clustering

Xiukun Sun, Miaomiao Cheng, Chen Min, Liping Jing

Unpaired Data based Cross-domain Synthesis and Segmentation Using Attention Neural Network

Xiaoming Liu, Xiangkai Wei, Aihui Yu, Zhifang Pan

Nuclei segmentation by using convolutional network with distance map and contour information

Xiaoming Liu, Zhengsheng Guo, Bo Li, Jun Cao

Kernel Learning for Data-Driven Spectral Analysis of Koopman Operators

Naoya Takeishi

Multi-Scale Visual Semantics Aggregation with Self-Attention for End-to-End Image-Text Matching

Zhuobin Zheng, Youcheng Ben, Chun Yuan

Fusing Recalibrated Features and Depthwise Separable Convolution for the Mangrove Bird Sound Classification

Chongqin Lei, Weiguo Gong, Zixu Wang

LADet: A Light-weight and Adaptive Network for Multi-scale Object Detection

Jiaming Zhou, Yuqiao Tian, Weicheng Li, Rui Wang, Zhongzhi Luan

Separate Loss for Basic and Compound Facial Expression Recognition in the Wild

Yingjian Li, Yao Lu, Jinxing Li, Guangming Lu

Surface Reconstruction based on Self-Merging Octree with Deep Learning

Jian Lv, Xie Han, Jiajie Zheng, Fengguang Xiong, Min Pang

Adaptive truncated residual regression for fine-grained regression problems

Hirotaka Hachiya, Yu Yamamoto, Kazuro Hirahara, Naonori Ueda

Multi-width Activation and Multiple Receptive Field Networks for Dynamic Scene Deblurring

Jinkai Cui, Weihong Li, Wei Guo, Weiguo Gong

Efficient Learning of Restricted Boltzmann Machines Using Covariance Estimates

Vidyadhar Upadhya, P S Sastry

Focused Anchors Loss: cost-sensitive learning of discriminative features for imbalanced classification

Bahram K. Baloch, Sateesh Kumar, Sanjay Haresh, Abeerah Rehman, Tahir Syed

Software Component Prediction for Bug Reports

Wei Zhang, Chris Challis

Self-Paced Multi-Label Learning with Diversity

Seyed Amjad Seyedi, S. Siamak Ghodsi, Fardin Akhlaghian, Mahdi Jalili, Parham Moradi

Learning Weighted Top-k Support Vector Machine

Tsuyoshi Kato, Yoshihiro Hirohashi

Prediction of Crowd Flow in City Complex with Missing Data

Shiyang Qiu, Peng Xu, Wei Zheng, Junjie Wang, Guo Yu

A New Multi-choice Reading Comprehension Dataset for Curriculum Learning

Yichan Liang, Jianheng Li, Jian Yin

Convolutional Neural Collaborative Filtering with Stacked Embeddings

Liu Han, Hailong Wu, Nan Hu, Binbin Qu

Improving Statute Prediction via Mining Correlations between Statutes

Yi Feng, Chuanyi Li, Jidong Ge, Bin Luo

SPoD-Net: Fast Recovery of Microscopic Images Using Learned ISTA

Satoshi Hara, Weichih Chen, Takashi Washio, Tetsuichi Wazawa, Takeharu Nagai

Regularizing Neural Networks via Stochastic Branch Layers

Wonpyo Park, Paul Hongsuck Seo, Bohyung Han, Minsu Cho

A Generalization Bound for Online Variational Inference

Badr-Eddine Chérief-Abdellatif, Pierre Alquier, Mohammad Emtiyaz Khan

Text Length Adaptation in Sentiment Classification

Reinald Kim Amplayo, Seonjae Lim, Seung-won Hwang

An Anchor-Free Oriented Text Detector with Connectionist Text Proposal Network

Chenhui Huang, Jinhua Xu

Investigating the effect of novel classes in semi-supervised learning

Alex Yuxuan Peng, Yun Sing Koh, Patricia Riddle, Bernhard Pfahringer

Variational Inference from Ranked Samples with Features

Yuan Guo, Jennifer Dy, Deniz Erdogmus, Jayashree Kalpathy-Cramer, Susan Ostmo

Real-time tree search with pessimistic scenarios: Winning the NeurIPS 2018 Pommerman Competition

Takayuki Osogami, Toshihiro Takahashi

Self-Weighted Multi-View Clustering with Deep Matrix Factorization

Beilei Cui, Hong Yu, Tiantian Zhang, Siwen Li

Canonical Soft Time Warping

Keisuke Kawano, Satoshi Koide, Takuro Kutsuna

Exemplar Based Mixture Models with Censored Data

Masahiro Kohjima, Tatsushi Matsubayashi, Hiroyuki Toda

Multi-branch Siamese Network for High Performance Online Visual Tracking

Junfei Zhuang, Yuan Dong, Hongliang Bai, Gang Wang

Learning to Sample Hard Instances for Graph Algorithms

Ryoma Sato, Makoto Yamada, Hisashi Kashima

Capsule Networks Need an Improved Routing Algorithm

Inyoung Paik, Taeyeong Kwak, Injung Kim

Zero-shot Domain Adaptation Based on Attribute Information

Masato Ishii, Takashi Takenouchi, Masashi Sugiyama

Forward and Backward Knowledge Transfer for Sentiment Classification

Hao Wang, Bing Liu, Shuai Wang, Nianzu Ma, yan yang

Multi-modal Representation Learning for Successive POI Recommendation

Lishan Li, Ying Liu, Jianping Wu, Lin He, Gang Ren

An Attentive Memory Network Integrated with Aspect Dependency for Document-Level Multi-Aspect Sentiment Classification

Qingxuan Zhang, Chongyang Shi

Multi-Label Learning with Regularization Enriched Label-Specific Features

Ze-Sen Chen, Min-ling Zhang

Unified Policy Optimization for Robust Reinforcement Learning

Zichuan Lin, Li Zhao, Jiang Bian, Tao Qin, Guangwen Yang

FEARS: a Feature and Representation Selection approach for Time Series Classification

Alexis Bondu, Dominique Gay, Vincent Lemaire, Marc Boullé, Eole Cervenka

Cascaded and Dual: Discrimination Oriented Network for Brain Tumor Classification

Wenxuan Zhang, Dong Zhang, Xinguang Xiang

Latent Multi-view Semi-Supervised Classification

Xiaofan Bo, Zhao Kang, Zhitong Zhao, Yuanzhang Su, Wenyu Chen

Functional Isolation Forest

Guillaume Staerman, Pavlo Mozharovskyi, Stéphan Clémençon, Florence d’Alché-Buc

Gradient-based Training of Slow Feature Analysis by Differentiable Approximate Whitening

Merlin Schüler, Hlynur Davíð Hlynsson, Laurenz Wiskott

Efficient Diversified Mini-Batch Selection using Variable High-layer Features

Wanming Huang, Richard Yi Da Xu, Ian Oppermann

Realistic Image Generation using Region-phrase Attention

Wanming Huang, Richard Yi Da Xu, Ian Oppermann

Optimal PAC-Bayesian Posteriors for Stochastic Classifiers and their use for Choice of SVM Regularization Parameter

Puja Sahu, Nandyala Hemachandra

X-Armed Bandits: Optimizing Quantiles, CVaR and Other Risks

Léonard Torossian, Aurélien Garivier, Victor Picheny

SPCDet: Enhancing Object Detection with Combined Feature Fusing

Haixin Wang, Lintao Wu, Qiongzhi Wu

A Model of Text-Enhanced Knowledge Graph Representation Learning with Collaborative Attention

Yashen Wang, Huanhuan Zhang, Haiyong Xie

Model-Based Reinforcement Learning Exploiting State-Action Equivalence

Mahsa Asadi, Mohammad Sadegh Talebi, Hippolyte Bourel, Odalric-ambrym Maillard

An Encoding Adversarial Network for Anomaly Detection

elies Gherbi, Blaise Hanczar, Jean-Christophe Janodet, Witold Klaudel

Learning to Augment with Feature Side-information

Amina Mollaysa, Alexandros Kalousis, Eric Bruno, Maurits Diephuis

Multivariate Time Series Prediction Based on Optimized Temporal Convolutional Networks with Stacked Auto-encoders

Yunxiao Wang, Zheng Liu, Di Hu, Mian Zhang

Minimax Online Prediction of Varying Bernoulli Process under Variational Approximation

Kenta Konagayoshi, Kazuho Watanabe

Deep Learning with a Rethinking Structure for Multi-label Classification

Yao-Yuan Yang, Yi-an Lin, Hong-Min Chu, Hsuan-tien Lin

Variational Conditional GAN for Fine-grained Controllable Image Generation

Mingqi Hu, Deyu Zhou, Yulan He

ResNet and Batch-normalization Improve Data Separability

Yasutaka Furusho, Kazushi Ikeda

Multiple Empirical Kernel Learning with Discriminant Locality Preservation

Bolu Wang, Dongdong Li, Zhe Wang

A Continuous Actor-Critic Reinforcement Learning Approach to Flocking with Fixed-Wing UAVs

Chang Wang, Chao Yan, Xiaojia Xiang, Han Zhou

An Articulated Structure-aware Network for 3D Human Pose Estimation

Zhenhua Tang, Xiaoyan Zhang, Junhui Hou

Towards Governing Agent’s Efficacy: Action-Conditional $β$-VAE for Deep Transparent Reinforcement Learning

John Yang, Gyuejeong Lee, Simyung Chang, Nojun Kwak

Differentially Private Community Detection in Attributed Social Networks

Tianxi Ji, Changqing Luo, Yifan Guo, Jinlong Ji, Weixian Liao

Random Projection in Neural Episodic Control

Daichi Nishio, Satoshi Yamane

Asian Conference on Machine Learning: Preface

Wee Sun Lee, Taiji Suzuki