Table of Contents

• A Distance-Weighted Class-Homogeneous Neighbourhood Ratio for Algorithm SelectionHaofei Chen, Ya Liu, Japnit Kaur Ahuja, Daren Ler. 1-16 [doi]
• Semantic-Guided Shared Feature Alignment for Occluded Person Re-IDentificationXuena Ren, Dongming Zhang, Xiuguo Bao. 17-32 [doi]
• Theory of Mind with Guilt Aversion Facilitates Cooperative Reinforcement LearningDung Nguyen, Svetha Venkatesh, Phuoc Nguyen, Truyen Tran 0001. 33-48 [doi]
• A Novel Higher-order Weisfeiler-Lehman Graph ConvolutionClemens Damke, Vitalik Melnikov, Eyke Hüllermeier. 49-64 [doi]
• A One-step Approach to Covariate Shift AdaptationTianyi Zhang, Ikko Yamane, Nan Lu, Masashi Sugiyama. 65-80 [doi]
• A State Aggregation Approach for Solving Knapsack Problem with Deep Reinforcement LearningReza Refaei Afshar, Yingqian Zhang, Murat Firat, Uzay Kaymak. 81-96 [doi]
• AARM: Action Attention Recalibration Module for Action RecognitionZhonghong Li, Yang Yi, Ying She, Jialun Song, Yukun Wu. 97-112 [doi]
• Atlas-aware ConvNet for Accurate yet Robust Anatomical SegmentationYuan Liang, Weinan Song, Jiawei Yang, Liang Qiu, Kun Wang, Lei He. 113-128 [doi]
• Bidirectional Dependency-Guided Attention for Relation ExtractionXingchen Deng, Lei Zhang, Yixing Fan, Long Bai, Jiafeng Guo, Pengfei Wang. 129-144 [doi]
• Boosting-Based Reliable Model ReuseYao-Xiang Ding, Zhi-Hua Zhou. 145-160 [doi]
• Bridging Ordinary-Label Learning and Complementary-Label LearningYasuhiro Katsura, Masato Uchida. 161-176 [doi]
• CCA-Flow: Deep Multi-view Subspace Learning with Inverse Autoregressive FlowJia He, Feiyang Pan, Fuzhen Zhuang, Qing He 0003. 177-192 [doi]
• Collaborative Exploration in Stochastic Multi-Player BanditsHiba Dakdouk, Raphaël Féraud, Nadège Varsier, Patrick Maillé. 193-208 [doi]
• Constrained Reinforcement Learning via Policy SplittingHaoxian Chen, Henry Lam, Fengpei Li, Amirhossein Meisami. 209-224 [doi]
• Convergence Rates of a Momentum Algorithm with Bounded Adaptive Step Size for Nonconvex OptimizationAnas Barakat, Pascal Bianchi. 225-240 [doi]
• Data-Dependent Conversion to a Compact Integer-Weighted Representation of a Weighted Voting ClassifierMitsuki Maekawa, Atsuyoshi Nakamura, Mineichi Kudo. 241-256 [doi]
• Deep Dynamic Boosted ForestHaixin Wang, Xingzhang Ren, Jinan Sun, Wei Ye, Long Chen, Muzhi Yu, Shikun Zhang. 257-272 [doi]
• Deep-n-Cheap: An Automated Search Framework for Low Complexity Deep LearningSourya Dey, Saikrishna C. Kanala, Keith M. Chugg, Peter A. Beerel. 273-288 [doi]
• DFQF: Data Free Quantization-aware Fine-tuningBowen Li, Kai Huang, Siang Chen, Dongliang Xiong, Haitian Jiang, Luc Claesen. 289-304 [doi]
• Disentangled Representations for Sequence Data using Information Bottleneck PrincipleMasanori Yamada, Heecheol Kim, Kosuke Miyoshi, Tomoharu Iwata, Hiroshi Yamakawa. 305-320 [doi]
• Dual Learning: Theoretical Study and an Algorithmic ExtensionZhibing Zhao, Yingce Xia, Tao Qin, Lirong Xia, Tie-Yan Liu. 321-336 [doi]
• Efficient Attention Calibration Network for Real-Time Semantic SegmentationHengfeng Zha, Rui Liu, Dongsheng Zhou, Xin Yang, Qiang Zhang, Xiaopeng Wei. 337-352 [doi]
• Enhancing Topic Models by Incorporating Explicit and Implicit External KnowledgeYang Hong, Xinhuai Tang, Tiancheng Tang, Yunlong Hu, Jintai Tian. 353-368 [doi]
• Exact Passive-Aggressive Algorithms for Multiclass Classification Using Bandit FeedbacksMaanik Arora, Naresh Manwani. 369-384 [doi]
• FIREPruning: Learning-based Filter Pruning for Convolutional Neural Network CompressionYuchu Fang, Wenzhong Li, Yao Zeng, Sanglu Lu. 385-400 [doi]
• Foolproof Cooperative LearningAlexis Jacq, Julien Pérolat, Matthieu Geist, Olivier Pietquin. 401-416 [doi]
• Geodesically-convex optimization for averaging partially observed covariance matricesFlorian Yger, Sylvain Chevallier, Quentin Barthélemy, Suvrit Sra. 417-432 [doi]
• Inferring Continuous Treatment Doses from Historical Data via Model-Based Entropy-Regularized Reinforcement LearningJianxun Wang, David Roberts, Andinet Enquobahrie. 433-448 [doi]
• Inverse Visual Question Answering with Multi-Level AttentionsYaser Alwatter, Yuhong Guo. 449-464 [doi]
• Learning 2-opt Heuristics for the Traveling Salesman Problem via Deep Reinforcement LearningPaulo R. d O. da Costa, Jason Rhuggenaath, Yingqian Zhang, Alp Akcay. 465-480 [doi]
• Learning Code Changes by Exploiting Bidirectional Converting DeviationJia-Wei Mi, Shu-Ting Shi, Ming Li. 481-496 [doi]
• Learning Dynamic Context Graph EmbeddingChuanchang Chen, Yubo Tao, Hai Lin 0003. 497-512 [doi]
• Learning from Label Proportions with Consistency RegularizationKuen-Han Tsai, Hsuan-Tien Lin. 513-528 [doi]
• Learning Interpretable Models using Soft Integrity ConstraintsKhaled Belahcène, Nataliya Sokolovska, Yann Chevaleyre, Jean-Daniel Zucker. 529-544 [doi]
• Thompson Sampling for Unsupervised Sequential SelectionArun Verma, Manjesh Kumar Hanawal, Nandyala Hemachandra. 545-560 [doi]
• {MKaushalya Madhawa, Tsuyoshi Murata. 561-576 [doi]
• Monte-Carlo Graph Search: the Value of Merging Similar StatesEdouard Leurent, Odalric-Ambrym Maillard. 577-592 [doi]
• NENN: Incorporate Node and Edge Features in Graph Neural NetworksYulei Yang, Dongsheng Li. 593-608 [doi]
• Network Representation Learning Algorithm Based on Neighborhood Influence SequenceMeng Liu, Ziwei Quan, Yong Liu. 609-624 [doi]
• Polytime Decomposition of Generalized Submodular Base Polytopes with Efficient SamplingAadirupa Saha. 625-640 [doi]
• Partially Observable Markov Decision Process Modelling for Assessing HierarchiesWeipéng Huáng, Guangyuan Piao, Raul Moreno, Neil Hurley. 641-656 [doi]
• Proxy Network for Few Shot LearningBin Xiao, Chien-Liang Liu, Wen-Hoar Hsaio. 657-672 [doi]
• Scalable Inference on the Soft Affiliation Graph Model for Overlapping Community DetectionNishma Laitonjam, Weipéng Huáng, Neil J. Hurley. 673-688 [doi]
• Randomness Efficient Feature Hashing for Sparse Binary DataRameshwar Pratap, Karthik Revanuru, Anirudh Ravi, Raghav Kulkarni. 689-704 [doi]
• Scaling up SimhashRameshwar Pratap, Anup Anand Deshmukh, Pratheeksha Nair, Anirudh Ravi. 705-720 [doi]
• Robust Document Distance with Wasserstein-Fisher-Rao metricZihao Wang, Datong Zhou, Ming Yang, Yong Zhang 0002, Chenglong Rao, Hao Wu. 721-736 [doi]
• Run2Survive: A Decision-theoretic Approach to Algorithm Selection based on Survival AnalysisAlexander Tornede, Marcel Wever, Stefan Werner, Felix Mohr, Eyke Hüllermeier. 737-752 [doi]
• Scalable Calibration of Affinity Matrices from Incomplete ObservationsWenye Li. 753-768 [doi]
• PSForest: Improving Deep Forest via Feature Pooling and Error ScreeningShiwen Ni, Hung-Yu Kao. 769-781 [doi]
• Robust Deep Ordinal Regression under Label NoiseBhanu Garg, Naresh Manwani. 782-796 [doi]
• A foreground detection algorithm for Time-of-Flight cameras adapted dynamic integration time adjustment and multipath distortionsDetong Chen. 797-810 [doi]
• A New Representation Learning Method for Individual Treatment Effect Estimation: Split Covariate Representation NetworkQidong Liu, Feng Tian, Weihua Ji, Qinghua Zheng. 811-822 [doi]
• Localizing and Amortizing: Efficient Inference for Gaussian ProcessesLinfeng Liu, Liping Liu. 823-836 [doi]
• Towards Understanding and Improving the Transferability of Adversarial Examples in Deep Neural NetworksLei Wu, Zhanxing Zhu. 837-850 [doi]