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Volume 129: Asian Conference on Machine Learning, 18-20 November 2020, Bangkok, Thailand

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Editors: Sinno Jialin Pan, Masashi Sugiyama

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

Haofei Chen, Ya Liu, Japnit Kaur Ahuja, Daren Ler; PMLR 129:1-16

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

Xuena Ren, Dongming Zhang, Xiuguo Bao; PMLR 129:17-32

Theory of Mind with Guilt Aversion Facilitates Cooperative Reinforcement Learning

Dung Nguyen, Svetha Venkatesh, Phuoc Nguyen, Truyen Tran; PMLR 129:33-48

A Novel Higher-order Weisfeiler-Lehman Graph Convolution

Clemens Damke, Vitalik Melnikov, Eyke Hüllermeier; PMLR 129:49-64

A One-step Approach to Covariate Shift Adaptation

Tianyi Zhang, Ikko Yamane, Nan Lu, Masashi Sugiyama; PMLR 129:65-80

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

Reza Refaei Afshar, Yingqian Zhang, Murat Firat, Uzay Kaymak; PMLR 129:81-96

AARM: Action Attention Recalibration Module for Action Recognition

Li Zhonghong, Yi Yang, She Ying, Song Jialun, Wu Yukun; PMLR 129:97-112

Atlas-aware ConvNet for Accurate yet Robust Anatomical Segmentation

Yuan Liang, Weinan Song, Jiawei Yang, Liang Qiu, Kun Wang, Lei He; PMLR 129:113-128

Bidirectional Dependency-Guided Attention for Relation Extraction

Xingchen Deng, Lei Zhang, Yixing Fan, Long Bai, Jiafeng Guo, Pengfei Wang; PMLR 129:129-144

Boosting-Based Reliable Model Reuse

Yao-Xiang Ding, Zhi-Hua Zhou; PMLR 129:145-160

Bridging Ordinary-Label Learning and Complementary-Label Learning

Yasuhiro Katsura, Masato Uchida; PMLR 129:161-176

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

Jia He, Feiyang Pan, Fuzhen Zhuang, Qing He; PMLR 129:177-192

Collaborative Exploration in Stochastic Multi-Player Bandits

Hiba Dakdouk, Raphaël Féraud, Nadège Varsier, Patrick Maillé; PMLR 129:193-208

Constrained Reinforcement Learning via Policy Splitting

Haoxian Chen, Henry Lam, Fengpei Li, Amirhossein Meisami; PMLR 129:209-224

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

Anas Barakat, Pascal Bianchi; PMLR 129:225-240

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

Mitsuki Maekawa, Atsuyoshi Nakamura, Mineichi Kudo; PMLR 129:241-256

Deep Dynamic Boosted Forest

Haixin Wang, Xingzhang Ren, Jinan Sun, Wei Ye, Long Chen, Muzhi Yu, Shikun Zhang; PMLR 129:257-272

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

Sourya Dey, Saikrishna C. Kanala, Keith M. Chugg, Peter A. Beerel; PMLR 129:273-288

DFQF: Data Free Quantization-aware Fine-tuning

Bowen Li, Kai Huang, Siang Chen, Dongliang Xiong, Haitian Jiang, Luc Claesen; PMLR 129:289-304

Disentangled Representations for Sequence Data using Information Bottleneck Principle

Masanori Yamada, Heecheol Kim, Kosuke Miyoshi, Tomoharu Iwata, Hiroshi Yamakawa; PMLR 129:305-320

Dual Learning: Theoretical Study and an Algorithmic Extension

Zhibing Zhao, Yingce Xia, Tao Qin, Lirong Xia, Tie-Yan Liu; PMLR 129:321-336

Efficient Attention Calibration Network for Real-Time Semantic Segmentation

Hengfeng Zha, Rui Liu, Dongsheng Zhou, Xin Yang, Qiang Zhang, Xiaopeng Wei; PMLR 129:337-352

Enhancing Topic Models by Incorporating Explicit and Implicit External Knowledge

Yang Hong, Xinhuai Tang, Tiancheng Tang, Yunlong Hu, Jintai Tian; PMLR 129:353-368

Exact Passive-Aggressive Algorithms for Multiclass Classification Using Bandit Feedbacks

Maanik Arora, Naresh Manwani; PMLR 129:369-384

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

Yuchu Fang, Wenzhong Li, Yao Zeng, Sanglu Lu; PMLR 129:385-400

Foolproof Cooperative Learning

Alexis Jacq, Julien Perolat, Matthieu Geist, Olivier Pietquin; PMLR 129:401-416

Geodesically-convex optimization for averaging partially observed covariance matrices

Florian Yger, Sylvain Chevallier, Quentin Barthélemy, Suvrit Sra; PMLR 129:417-432

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

Jianxun Wang, David Roberts, Andinet Enquobahrie; PMLR 129:433-448

Inverse Visual Question Answering with Multi-Level Attentions

Yaser Alwatter, Yuhong Guo; PMLR 129:449-464

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

Paulo R d O Costa, Jason Rhuggenaath, Yingqian Zhang, Alp Akcay; PMLR 129:465-480

Learning Code Changes by Exploiting Bidirectional Converting Deviation

Jia-Wei Mi, Shu-Ting Shi, Ming Li; PMLR 129:481-496

Learning Dynamic Context Graph Embedding

Chuanchang Chen, Yubo Tao, Hai Lin; PMLR 129:497-512

Learning from Label Proportions with Consistency Regularization

Kuen-Han Tsai, Hsuan-Tien Lin; PMLR 129:513-528

Learning Interpretable Models using Soft Integrity Constraints

Khaled Belahcène, Nataliya Sokolovska, Yann Chevaleyre, Jean-Daniel Zucker; PMLR 129:529-544

Thompson Sampling for Unsupervised Sequential Selection

Arun Verma, Manjesh K Hanawal, Nandyala Hemachandra; PMLR 129:545-560

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

Kaushalya Madhawa, Tsuyoshi Murata; PMLR 129:561-576

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

Edouard Leurent, Odalric-Ambrym Maillard; PMLR 129:577-592

NENN: Incorporate Node and Edge Features in Graph Neural Networks

Yulei Yang, Dongsheng Li; PMLR 129:593-608

Network Representation Learning Algorithm Based on Neighborhood Influence Sequence

Meng Liu, Ziwei Quan, Yong Liu; PMLR 129:609-624

Polytime Decomposition of Generalized Submodular Base Polytopes with Efficient Sampling

Aadirupa Saha; PMLR 129:625-640

Partially Observable Markov Decision Process Modelling for Assessing Hierarchies

Weipeng Huang, Guangyuan Piao, Raul Moreno, Neil Hurley; PMLR 129:641-656

Proxy Network for Few Shot Learning

Bin Xiao, Chien-Liang Liu, Wen-Hoar Hsaio; PMLR 129:657-672

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

Weipeng Huang Nishma Laitonjam, Neil J. Hurley; PMLR 129:673-688

Randomness Efficient Feature Hashing for Sparse Binary Data

Rameshwar Pratap, Karthik Revanuru, Anirudh Ravi, Raghav Kulkarni; PMLR 129:689-704

Scaling up Simhash

Rameshwar Pratap, Anup Deshmukh, Pratheeksha Nair, Anirudh Ravi; PMLR 129:705-720

Robust Document Distance with Wasserstein-Fisher-Rao metric

Zihao Wang, Datong Zhou, Ming Yang, Yong Zhang, Chenglong Rao, Hao Wu; PMLR 129:721-736

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

Alexander Tornede, Marcel Wever, Stefan Werner, Felix Mohr, Eyke Hüllermeier; PMLR 129:737-752

Scalable Calibration of Affinity Matrices from Incomplete Observations

Wenye Li; PMLR 129:753-768

PSForest: Improving Deep Forest via Feature Pooling and Error Screening

Shiwen Ni, Hung-Yu Kao; PMLR 129:769-781

Robust Deep Ordinal Regression under Label Noise

Bhanu Garg, Naresh Manwani; PMLR 129:782-796

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

Detong Chen; PMLR 129:797-810

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

Liu Qidong, Tian Feng, Ji Weihua, Zheng Qinghua; PMLR 129:811-822

Localizing and Amortizing: Efficient Inference for Gaussian Processes

Linfeng Liu, Liping Liu; PMLR 129:823-836

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

Lei Wu, Zhanxing Zhu; PMLR 129:837-850

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