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Editors: Sinno Jialin Pan, Masashi Sugiyama
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A Distance-Weighted Class-Homogeneous Neighbourhood Ratio for Algorithm Selection
; 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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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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