A Distance-Weighted Class-Homogeneous Neighbourhood Ratio for Algorithm Selection

Haofei Chen, Ya Liu, Japnit Kaur Ahuja, Daren Ler; Proceedings of The 12th Asian Conference on Machine Learning, PMLR 129:1-16

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Semantic-Guided Shared Feature Alignment for Occluded Person Re-IDentification

Xuena Ren, Dongming Zhang, Xiuguo Bao; Proceedings of The 12th Asian Conference on Machine Learning, PMLR 129:17-32

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Theory of Mind with Guilt Aversion Facilitates Cooperative Reinforcement Learning

Dung Nguyen, Svetha Venkatesh, Phuoc Nguyen, Truyen Tran; Proceedings of The 12th Asian Conference on Machine Learning, PMLR 129:33-48

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A Novel Higher-order Weisfeiler-Lehman Graph Convolution

Clemens Damke, Vitalik Melnikov, Eyke Hüllermeier; Proceedings of The 12th Asian Conference on Machine Learning, PMLR 129:49-64

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A One-step Approach to Covariate Shift Adaptation

Tianyi Zhang, Ikko Yamane, Nan Lu, Masashi Sugiyama; Proceedings of The 12th Asian Conference on Machine Learning, PMLR 129:65-80

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A State Aggregation Approach for Solving Knapsack Problem with Deep Reinforcement Learning

Reza Refaei Afshar, Yingqian Zhang, Murat Firat, Uzay Kaymak; Proceedings of The 12th Asian Conference on Machine Learning, PMLR 129:81-96

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AARM: Action Attention Recalibration Module for Action Recognition

Li Zhonghong, Yi Yang, She Ying, Song Jialun, Wu Yukun; Proceedings of The 12th Asian Conference on Machine Learning, PMLR 129:97-112

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Atlas-aware ConvNet for Accurate yet Robust Anatomical Segmentation

Yuan Liang, Weinan Song, Jiawei Yang, Liang Qiu, Kun Wang, Lei He; Proceedings of The 12th Asian Conference on Machine Learning, PMLR 129:113-128

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Bidirectional Dependency-Guided Attention for Relation Extraction

Xingchen Deng, Lei Zhang, Yixing Fan, Long Bai, Jiafeng Guo, Pengfei Wang; Proceedings of The 12th Asian Conference on Machine Learning, PMLR 129:129-144

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Boosting-Based Reliable Model Reuse

Yao-Xiang Ding, Zhi-Hua Zhou; Proceedings of The 12th Asian Conference on Machine Learning, PMLR 129:145-160

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Bridging Ordinary-Label Learning and Complementary-Label Learning

Yasuhiro Katsura, Masato Uchida; Proceedings of The 12th Asian Conference on Machine Learning, PMLR 129:161-176

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CCA-Flow: Deep Multi-view Subspace Learning with Inverse Autoregressive Flow

Jia He, Feiyang Pan, Fuzhen Zhuang, Qing He; Proceedings of The 12th Asian Conference on Machine Learning, PMLR 129:177-192

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Collaborative Exploration in Stochastic Multi-Player Bandits

Hiba Dakdouk, Raphaël Féraud, Nadège Varsier, Patrick Maillé; Proceedings of The 12th Asian Conference on Machine Learning, PMLR 129:193-208

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Constrained Reinforcement Learning via Policy Splitting

Haoxian Chen, Henry Lam, Fengpei Li, Amirhossein Meisami; Proceedings of The 12th Asian Conference on Machine Learning, PMLR 129:209-224

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Convergence Rates of a Momentum Algorithm with Bounded Adaptive Step Size for Nonconvex Optimization

Anas Barakat, Pascal Bianchi; Proceedings of The 12th Asian Conference on Machine Learning, PMLR 129:225-240

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Data-Dependent Conversion to a Compact Integer-Weighted Representation of a Weighted Voting Classifier

Mitsuki Maekawa, Atsuyoshi Nakamura, Mineichi Kudo; Proceedings of The 12th Asian Conference on Machine Learning, PMLR 129:241-256

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Deep Dynamic Boosted Forest

Haixin Wang, Xingzhang Ren, Jinan Sun, Wei Ye, Long Chen, Muzhi Yu, Shikun Zhang; Proceedings of The 12th Asian Conference on Machine Learning, PMLR 129:257-272

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Deep-n-Cheap: An Automated Search Framework for Low Complexity Deep Learning

Sourya Dey, Saikrishna C. Kanala, Keith M. Chugg, Peter A. Beerel; Proceedings of The 12th Asian Conference on Machine Learning, PMLR 129:273-288

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DFQF: Data Free Quantization-aware Fine-tuning

Bowen Li, Kai Huang, Siang Chen, Dongliang Xiong, Haitian Jiang, Luc Claesen; Proceedings of The 12th Asian Conference on Machine Learning, PMLR 129:289-304

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Disentangled Representations for Sequence Data using Information Bottleneck Principle

Masanori Yamada, Heecheol Kim, Kosuke Miyoshi, Tomoharu Iwata, Hiroshi Yamakawa; Proceedings of The 12th Asian Conference on Machine Learning, PMLR 129:305-320

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Dual Learning: Theoretical Study and an Algorithmic Extension

Zhibing Zhao, Yingce Xia, Tao Qin, Lirong Xia, Tie-Yan Liu; Proceedings of The 12th Asian Conference on Machine Learning, PMLR 129:321-336

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Efficient Attention Calibration Network for Real-Time Semantic Segmentation

Hengfeng Zha, Rui Liu, Dongsheng Zhou, Xin Yang, Qiang Zhang, Xiaopeng Wei; Proceedings of The 12th Asian Conference on Machine Learning, PMLR 129:337-352

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Enhancing Topic Models by Incorporating Explicit and Implicit External Knowledge

Yang Hong, Xinhuai Tang, Tiancheng Tang, Yunlong Hu, Jintai Tian; Proceedings of The 12th Asian Conference on Machine Learning, PMLR 129:353-368

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Exact Passive-Aggressive Algorithms for Multiclass Classification Using Bandit Feedbacks

Maanik Arora, Naresh Manwani; Proceedings of The 12th Asian Conference on Machine Learning, PMLR 129:369-384

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FIREPruning: Learning-based Filter Pruning for Convolutional Neural Network Compression

Yuchu Fang, Wenzhong Li, Yao Zeng, Sanglu Lu; Proceedings of The 12th Asian Conference on Machine Learning, PMLR 129:385-400

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Foolproof Cooperative Learning

Alexis Jacq, Julien Perolat, Matthieu Geist, Olivier Pietquin; Proceedings of The 12th Asian Conference on Machine Learning, PMLR 129:401-416

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Geodesically-convex optimization for averaging partially observed covariance matrices

Florian Yger, Sylvain Chevallier, Quentin Barthélemy, Suvrit Sra; Proceedings of The 12th Asian Conference on Machine Learning, PMLR 129:417-432

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Inferring Continuous Treatment Doses from Historical Data via Model-Based Entropy-Regularized Reinforcement Learning

Jianxun Wang, David Roberts, Andinet Enquobahrie; Proceedings of The 12th Asian Conference on Machine Learning, PMLR 129:433-448

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Inverse Visual Question Answering with Multi-Level Attentions

Yaser Alwattar, Yuhong Guo; Proceedings of The 12th Asian Conference on Machine Learning, PMLR 129:449-464

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Learning 2-opt Heuristics for the Traveling Salesman Problem via Deep Reinforcement Learning

Paulo R d O Costa, Jason Rhuggenaath, Yingqian Zhang, Alp Akcay; Proceedings of The 12th Asian Conference on Machine Learning, PMLR 129:465-480

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Learning Code Changes by Exploiting Bidirectional Converting Deviation

Jia-Wei Mi, Shu-Ting Shi, Ming Li; Proceedings of The 12th Asian Conference on Machine Learning, PMLR 129:481-496

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Learning Dynamic Context Graph Embedding

Chuanchang Chen, Yubo Tao, Hai Lin; Proceedings of The 12th Asian Conference on Machine Learning, PMLR 129:497-512

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Learning from Label Proportions with Consistency Regularization

Kuen-Han Tsai, Hsuan-Tien Lin; Proceedings of The 12th Asian Conference on Machine Learning, PMLR 129:513-528

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Learning Interpretable Models using Soft Integrity Constraints

Khaled Belahcène, Nataliya Sokolovska, Yann Chevaleyre, Jean-Daniel Zucker; Proceedings of The 12th Asian Conference on Machine Learning, PMLR 129:529-544

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Thompson Sampling for Unsupervised Sequential Selection

Arun Verma, Manjesh K Hanawal, Nandyala Hemachandra; Proceedings of The 12th Asian Conference on Machine Learning, PMLR 129:545-560

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MetAL: Active Semi-Supervised Learning on Graphs via Meta-Learning

Kaushalya Madhawa, Tsuyoshi Murata; Proceedings of The 12th Asian Conference on Machine Learning, PMLR 129:561-576

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Monte-Carlo Graph Search: the Value of Merging Similar States

Edouard Leurent, Odalric-Ambrym Maillard; Proceedings of The 12th Asian Conference on Machine Learning, PMLR 129:577-592

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NENN: Incorporate Node and Edge Features in Graph Neural Networks

Yulei Yang, Dongsheng Li; Proceedings of The 12th Asian Conference on Machine Learning, PMLR 129:593-608

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Network Representation Learning Algorithm Based on Neighborhood Influence Sequence

Meng Liu, Ziwei Quan, Yong Liu; Proceedings of The 12th Asian Conference on Machine Learning, PMLR 129:609-624

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Polytime Decomposition of Generalized Submodular Base Polytopes with Efficient Sampling

Aadirupa Saha; Proceedings of The 12th Asian Conference on Machine Learning, PMLR 129:625-640

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Partially Observable Markov Decision Process Modelling for Assessing Hierarchies

Weipeng Huang, Guangyuan Piao, Raul Moreno, Neil Hurley; Proceedings of The 12th Asian Conference on Machine Learning, PMLR 129:641-656

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Proxy Network for Few Shot Learning

Bin Xiao, Chien-Liang Liu, Wen-Hoar Hsaio; Proceedings of The 12th Asian Conference on Machine Learning, PMLR 129:657-672

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Scalable Inference on the Soft Affiliation Graph Model for Overlapping Community Detection

Nishma Laitonjam, Weipeng Huang, Neil J. Hurley; Proceedings of The 12th Asian Conference on Machine Learning, PMLR 129:673-688

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Randomness Efficient Feature Hashing for Sparse Binary Data

Rameshwar Pratap, Karthik Revanuru, Anirudh Ravi, Raghav Kulkarni; Proceedings of The 12th Asian Conference on Machine Learning, PMLR 129:689-704

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Scaling up Simhash

Rameshwar Pratap, Anup Deshmukh, Pratheeksha Nair, Anirudh Ravi; Proceedings of The 12th Asian Conference on Machine Learning, PMLR 129:705-720

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Robust Document Distance with Wasserstein-Fisher-Rao metric

Zihao Wang, Datong Zhou, Ming Yang, Yong Zhang, Chenglong Rao, Hao Wu; Proceedings of The 12th Asian Conference on Machine Learning, PMLR 129:721-736

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Run2Survive: A Decision-theoretic Approach to Algorithm Selection based on Survival Analysis

Alexander Tornede, Marcel Wever, Stefan Werner, Felix Mohr, Eyke Hüllermeier; Proceedings of The 12th Asian Conference on Machine Learning, PMLR 129:737-752

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Scalable Calibration of Affinity Matrices from Incomplete Observations

Wenye Li; Proceedings of The 12th Asian Conference on Machine Learning, PMLR 129:753-768

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PSForest: Improving Deep Forest via Feature Pooling and Error Screening

Shiwen Ni, Hung-Yu Kao; Proceedings of The 12th Asian Conference on Machine Learning, PMLR 129:769-781

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Robust Deep Ordinal Regression under Label Noise

Bhanu Garg, Naresh Manwani; Proceedings of The 12th Asian Conference on Machine Learning, PMLR 129:782-796

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A foreground detection algorithm for Time-of-Flight cameras adapted dynamic integration time adjustment and multipath distortions

Detong Chen; Proceedings of The 12th Asian Conference on Machine Learning, PMLR 129:797-810

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A New Representation Learning Method for Individual Treatment Effect Estimation: Split Covariate Representation Network

Liu Qidong, Tian Feng, Ji Weihua, Zheng Qinghua; Proceedings of The 12th Asian Conference on Machine Learning, PMLR 129:811-822

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Localizing and Amortizing: Efficient Inference for Gaussian Processes

Linfeng Liu, Liping Liu; Proceedings of The 12th Asian Conference on Machine Learning, PMLR 129:823-836

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Towards Understanding and Improving the Transferability of Adversarial Examples in Deep Neural Networks

Lei Wu, Zhanxing Zhu; Proceedings of The 12th Asian Conference on Machine Learning, PMLR 129:837-850

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