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Volume 157: Asian Conference on Machine Learning, 17-19 November 2021, Virtual

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Editors: Vineeth N. Balasubramanian, Ivor Tsang

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Contents:

Preface

Asian Conference on Machine Learning: Preface

Vineeth N. Balasubramanian, Ivor Tsang; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:i-xiii

Contributed Papers

Vector Transport Free Riemannian LBFGS for Optimization on Symmetric Positive Definite Matrix Manifolds

Reza Godaz, Benyamin Ghojogh, Reshad Hosseini, Reza Monsefi, Fakhri Karray, Mark Crowley; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:1-16

Understanding How Over-Parametrization Leads to Acceleration: A case of learning a single teacher neuron

Jun-Kun Wang, Jacob Abernethy; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:17-32

Hybrid Estimation for Open-Ended Questions with Early-Age Students’ Block-Based Programming Answers

Hao Wu, Tianyi Chen, Xianzhe Luo, Canghong Jin, Yun Zhang, Minghui Wu; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:33-48

The Power of Factorial Powers: New Parameter settings for (Stochastic) Optimization

Aaron Defazio, Robert M. Gower; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:49-64

Local Aggressive Adversarial Attacks on 3D Point Cloud

Yiming Sun, Feng Chen, Zhiyu Chen, Mingjie Wang; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:65-80

$h$-DBSCAN: A simple fast DBSCAN algorithm for big data

Shaoyuan Weng, Jin Gou, Zongwen Fan; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:81-96

CTAB-GAN: Effective Table Data Synthesizing

Zilong Zhao, Aditya Kunar, Robert Birke, Lydia Y. Chen; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:97-112

Fairness constraint of Fuzzy C-means Clustering improves clustering fairness

Xu Xia, Zhang Hui, Ynag Chunming, Zhao Xujian, Li Bo; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:113-128

Meta-Model-Based Meta-Policy Optimization

Takuya Hiraoka, Takahisa Imagawa, Voot Tangkaratt, Takayuki Osa, Takashi Onishi, Yoshimasa Tsuruoka; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:129-144

An Aligned Subgraph Kernel Based on Discrete-Time Quantum Walk

Kai Liu, Lulu Wang, Yi Zhang; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:145-157

On the Convex Combination of Determinantal Point Processes

Tatsuya Matsuoka, Naoto Ohsaka, Akihiro Yabe; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:158-173

Encoder-decoder-based image transformation approach for integrating precipitation forecasts

Hirotaka Hachiya, Yusuke Masumoto, Yuki Mori, Naonori Ueda; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:174-188

A Mutual Information Regularization for Adversarial Training

Modeste Atsague, Olukorede Fakorede, Jin Tian; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:188-203

BRAC+: Improved Behavior Regularized Actor Critic for Offline Reinforcement Learning

Chi Zhang, Sanmukh Kuppannagari, Prasanna Viktor; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:204-219

Cautious Actor-Critic

Lingwei Zhu, Toshinori Kitamura, Matsubara Takamitsu; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:220-235

Quaternion Graph Neural Networks

Dai Quoc Nguyen, Tu Dinh Nguyen, Dinh Phung; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:236-251

Expressive Neural Voice Cloning

Paarth Neekhara, Shehzeen Hussain, Shlomo Dubnov, Farinaz Koushanfar, Julian McAuley; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:252-267

SPDE-Net: Neural Network based prediction of stabilization parameter for SUPG technique

Sangeeta Yadav, Sashikumaar Ganesan; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:268-283

DDSAS: Dynamic and Differentiable Space-Architecture Search

Longxing Yang, Yu Hu, Shun Lu, Zihao Sun, Jilin Mei, Yiming Zeng, Zhiping Shi, Yinhe Han, Xiaowei Li; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:284-299

Sinusoidal Flow: A Fast Invertible Autoregressive Flow

Yumou Wei; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:299-314

Uplift Modeling with High Class Imbalance

Otto Nyberg, Tomasz Kuśmierczyk, Arto Klami; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:315-330

Iterative Deep Model Compression and Acceleration in the Frequency Domain

Yao Zeng, Xusheng Liu, Lintan Sun, Wenzhong Li, Yuchu Fang, Sanglu Lu; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:331-346

Penalty Method for Inversion-Free Deep Bilevel Optimization

Akshay Mehra, Jihun Hamm; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:347-362

CTS2: Time Series Smoothing with Constrained Reinforcement Learning

Yongshuai Liu, Xin Liu; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:363-378

Open Images V5 Text Annotation and Yet Another Mask Text Spotter

Ilya Krylov, Sergei Nosov, Vladislav Sovrasov; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:379-389

Language Representations for Generalization in Reinforcement Learning

Goodger Nikolaj, Peter Vamplew, Cameron Foale, Richard Dazeley; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:390-405

Temporal Relation based Attentive Prototype Network for Few-shot Action Recognition

Guangge Wang, Haihui Ye, Xiao Wang, Weirong Ye, Hanzi Wang; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:406-421

An Optimistic Acceleration of AMSGrad for Nonconvex Optimization

Jun-Kun Wang, Xiaoyun Li, Belhal Karimi, Ping Li; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:422-437

Dynamic Coordination Graph for Cooperative Multi-Agent Reinforcement Learning

Chapman Siu, Jason Traish, Richard Yi Da Xu; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:438-453

S2TNet: Spatio-Temporal Transformer Networks for Trajectory Prediction in Autonomous Driving

Weihuang Chen, Fangfang Wang, Hongbin Sun; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:454-469

Solving Machine Learning Problems

Sunny Tran, Pranav Krishna, Ishan Pakuwal, Prabhakar Kafle, Nikhil Singh, Jayson Lynch, Iddo Drori; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:470-485

Pedestrian Wind Factor Estimation in Complex Urban Environments

Sarah Mokhtar, Matt Beveridge, Yumeng Cao, Iddo Drori; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:486-501

DPOQ: Dynamic Precision Onion Quantization

Bowen Li, Kai Huang, Siang Chen, Dongliang Xiong, Luc Claesen; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:502-517

A Causal Approach for Unfair Edge Prioritization and Discrimination Removal

Balaraman Ravindran Pavan Ravishankar Pranshu Malviya; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:518-533

Spatial Temporal Enhanced Contrastive and Pretext Learning for Skeleton-based Action Representation

Yiwen Zhan, Yuchen Chen, Pengfei Ren, Haifeng Sun, Jingyu Wang, Qi Qi, Jianxin Liao; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:534-547

QActor: Active Learning on Noisy Labels

Taraneh Younesian, Zilong Zhao, Amirmasoud Ghiassi, Robert Birke, Lydia Y Chen; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:548-563

Max-Utility Based Arm Selection Strategy For Sequential Query Recommendations

Shameem Puthiya Parambath, Christos Anagnostopoulos, Roderick Murray-Smith, Sean MacAvaney, Evangelos and Zervas; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:564-579

Multi-task Actor-Critic with Knowledge Transfer via a Shared Critic

Gengzhi Zhang, Liang Feng, Yaqing Hou; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:580-593

Contrastive Neural Processes for Self-Supervised Learning

Konstantinos Kallidromitis, Denis Gudovskiy, Kozuka Kazuki, Ohama Iku, Luca Rigazio; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:594-609

Pyramid Correlation based Deep Hough Voting for Visual Object Tracking

Ying Wang, Tingfa Xu, Shenwang Jiang, Junjie Chen, Jianan Li; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:610-625

calibrated adversarial training

Tianjin Huang, Vlado Menkovski, Yulong Pei, Mykola Pechenizkiy; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:626-641

ASD-Conv: Monocular 3D object detection network based on Asymmetrical Segmentation Depth-aware Convolution

Yu Xingyuan, Du Neng, Gao Ge, Wen Fan; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:642-655

Convolutional Hypercomplex Embeddings for Link Prediction

Caglar Demir, Diego Moussallem, Stefan Heindorf, Axel-Cyrille Ngonga Ngomo; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:656-671

Beyond $L_p$ Clipping: Equalization based Psychoacoustic Attacks against ASRs

Hadi Abdullah, Muhammad Sajidur Rahman, Christian Peeters, Cassidy Gibson, Washington Garcia, Vincent Bindschaedler, Thomas Shrimpton, Patrick Traynor; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:672-688

Slice-sampling based 3D Object Classification

Zhao Xiangwen, Yang Yi-Jun, Zeng Wei, Yang Liqun, Wang Yao; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:689-704

Multi-Branch Network for Cross-Subject EEG-based Emotion Recognition

Guang Lin, Li Zhu, Bin Ren, Yiteng Hu, Jianhai Zhang; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:705-720

Skew-symmetrically perturbed gradient flow for convex optimization

Futoshi Futami, Tomoharu Iwata, Naonori Ueda, Ikko Yamane; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:721-736

Improving Gaussian mixture latent variable model convergence with Optimal Transport

Benoit Gaujac, Ilya Feige, David Barber; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:737-752

Generating Deep Networks Explanations with Robust Attribution Alignment

Guohang Zeng, Yousef Kowsar, Sarah Erfani, James Bailey; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:753-768

Scalable gradient matching based on state space Gaussian Processes

Futoshi Futami; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:769-784

Domain Adaptive YOLO for One-Stage Cross-Domain Detection

Shizhao Zhang, Hongya Tuo, Jian Hu, Zhongliang Jing; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:785-797

Hierarchical Semantic Segmentation using Psychometric Learning

Lu Yin, Vlado Menkovski, Shwei Liu, Mykola Pechenizkiy; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:798-813

Improving Hashing Algorithms for Similarity Search via MLE and the Control Variates Trick

Keegan Kang, Sergey Kushnarev, Wei Pin Wong, Rameshwar Pratap, Haikal Yeo, Chen Yijia; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:814-829

Feature Convolutional Networks

He Hu; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:830-839

Bias-tolerant Fair Classification

Yixuan Zhang, Feng Zhou, Zhidong Li, Yang Wang, Fang Chen; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:840-855

Multi-factor Memory Attentive Model for Knowledge Tracing

Congjie Liu, Xiaoguang Li; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:856-869

Asymptotically Exact and Fast Gaussian Copula Models for Imputation of Mixed Data Types

Benjamin Christoffersen, Mark Clements, Keith Humphreys, Hedvig Kjellström; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:870-885

Greedy Search Algorithm for Mixed Precision in Post-Training Quantization of Convolutional Neural Network Inspired by Submodular Optimization

Tsuji Satoki, Kawaguchi Hiroshi, Inoue Atsuki, Sakai Yasufumi, Yamada Fuyuka; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:886-901

ExNN-SMOTE: Extended Natural Neighbors Based SMOTE to Deal with Imbalanced Data

Hongjiao Guan, Bin Ma, Yingtao Zhang, Xianglong Tang; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:902-917

Geometric Value Iteration: Dynamic Error-Aware KL Regularization for Reinforcement Learning

Toshinori Kitamura, Lingwei Zhu, Takamitsu Matsubara; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:918-931

Collaborative Novelty Detection for Distributed Data by a Probabilistic Method

Akira Imakura, Xiucai Ye, Tetsuya Sakurai; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:932-947

Efficient Coreset Constructions via Sensitivity Sampling

Vladimir Braverman, Dan Feldman, Harry Lang, Adiel Statman, Samson Zhou; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:948-963

Dynamic Popularity-Aware Contrastive Learning for Recommendation

Fangquan Lin, Wei Jiang, Jihai Zhang, Cheng Yang; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:964-968

Neural Graph Filtering for Context-aware Recommendation

Zhang Chuanyan, Hong Xiaoguang; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:969-984

Lifelong Learning with Sketched Structural Regularization

Haoran Li, Aditya Krishnan, Jingfeng Wu, Soheil Kolouri, Praveen K. Pilly, Vladimir Braverman; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:985-1000

Robust Regression for Monocular Depth Estimation

Julian Lienen, Nils Nommensen, Ralph Ewerth, Eyke Hüllermeier; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:1001-1016

Transfer Learning with Adaptive Online TrAdaBoost for Data Streams

Ocean Wu, Yun Sing Koh, Gillian Dobbie, Thomas Lacombe; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:1017-1032

Bridging Code-Text Representation Gap using Explanation

Hojae Han, Youngwon Lee, Minsoo Kim, Hwang Seung-won; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:1033-1048

ContriQ: Ally-Focused Cooperation and Enemy-Concentrated Confrontation in Multi-Agent Reinforcement Learning

Zhao Chenran, Shi Dianxi, Zhang Yaowen, Yang Huanhuan, Yang Shaowu, Zhang Yongjun; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:1049-1064

DAGSurv: Directed Ayclic Graph Based Survival Analysis Using Deep Neural Networks

Ansh Kumar Sharma, Rahul Kukreja, Ranjitha Prasad, Shilpa Rao; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:1065-1080

Modeling Risky Choices in Unknown Environments

Ville Tanskanen, Chang Rajani, Homayun Afrabandpey, Aini Putkonen, Aurélien Nioche, Arto Klami; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:1081-1096

Expert advice problem with noisy low rank loss

Yaxiong Liu, Xuanke Jiang, Kohei Hatano, Eiji Takimoto; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:1097-1112

An online semi-definite programming with a generalised log-determinant regularizer and its applications

Yaxiong Liu, Ken-ichiro Moridomi, Kohei Hatano, Eiji Takimoto; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:1113-1128

Cross-structural Factor-topic Model: Document Analysis with Sophisticated Covariates

Chien Lu, Jaakko Peltonen, Timo Nummenmaa, Jyrki Nummenmaa, Kalervo Järvelin; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:1129-1144

Deep Structural Contrastive Subspace Clustering

Bo Peng, Wenjie Zhu; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:1145-1160

Lifelong Learning with Branching Experts

Yi-Shan Wu, Yi-Te Hong, Chi-Jen Lu; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:1161-1175

Ensembling With a Fixed Parameter Budget: When Does It Help and Why?

Didan Deng, Emil Bertram Shi; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:1176-1191

Revisiting Weight Initialization of Deep Neural Networks

Maciej Skorski, Alessandro Temperoni, Martin Theobald; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:1192-1207

Robust Model-based Reinforcement Learning for Autonomous Greenhouse Control

Wanpeng Zhang, Xiaoyan Cao, Yao Yao, Zhicheng An, Xi Xiao, Dijun Luo; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:1208-1223

Physics-inspired Learning for Structure-Aware Texture-Sensitive Underwater Image Enhancement

Xinwei Xue, Zexuan Li, Long Ma, Risheng Liu, Xin Fan; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:1224-1236

Robust Domain Randomised Reinforcement Learning through Peer-to-Peer Distillation

Chenyang Zhao, Timothy Hospedales; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:1237-1252

PFedAtt: Attention-based Personalized Federated Learning on Heterogeneous Clients

Zichen Ma, Yu Lu, Wenye Li, Jinfeng Yi, Shuguang Cui; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:1253-1268

Multi-stream based marked point process

Sujun Hong, Hirotaka Hachiya; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:1269-1284

Bayesian Latent Factor Model for Higher-order Data

Zerui Tao, Xuyang Zhao, Toshihisa Tanaka, Qibin Zhao; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:1285-1300

Learning 3-opt heuristics for traveling salesman problem via deep reinforcement learning

Jingyan Sui, Shizhe Ding, Ruizhi Liu, Liming Xu, Dongbo Bu; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:1301-1316

Time-Constrained Multi-Agent Path Finding in Non-Lattice Graphs with Deep Reinforcement Learning

Marijn van Knippenberg, Mike Holenderski, Vlado Menkovski; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:1317-1332

Exposing Cyber-Physical System Weaknesses by Implicitly Learning their Underlying Models

Napoleon Costilla-Enriquez, Yang Weng; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:1333-1348

NAS-HPO-Bench-II: A Benchmark Dataset on Joint Optimization of Convolutional Neural Network Architecture and Training Hyperparameters

Yoichi Hirose, Nozomu Yoshinari, Shinichi Shirakawa; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:1349-1364

Metric Learning for comparison of HMMs using Graph Neural Networks

Rajan Kumar Soni, Karthick Seshadri, Balaraman Ravindran; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:1365-1380

Layer-Wise Neural Network Compression via Layer Fusion

James O’Neill, Greg V. Steeg, Aram Galstyan; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:1381-1396

Bayesian neural network unit priors and generalized Weibull-tail property

Mariia Vladimirova, Julyan Arbel, Stéphane Girard; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:1397-1412

A Partial Label Metric Learning Algorithm for Class Imbalanced Data

Wenpeng Liu, Li Wang, Jie Chen, Yu Zhou, Ruirui Zheng, Jianjun He; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:1413-1428

Scaling Average-Linkage via Sparse Cluster Embeddings

Thomas Lavastida, Kefu Lu, Benjamin Moseley, Yuyan Wang; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:1429-1444

Multi-scale Salient Instance Segmentation based on Encoder-Decoder

Houru Chen, Caijuan Shi, Wei Li, Changyu Duan, jinwei Yan; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:1445-1460

A Two-Stage Training Framework with Feature-Label Matching Mechanism for Learning from Label Proportions

Haoran Yang, Wanjing Zhang, Wai Lam; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:1461-1476

$K^2$-GNN: Multiple Users’ Comments Integration with Probabilistic K-Hop Knowledge Graph Neural Networks

Huixin Zhan, Kun Zhang, Chenyi Hu, Victor Sheng; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:1477-1492

Learn to Predict Vertical Track Irregularity with Extremely Imbalanced Data

Yutao Chen, Yu Zhang, Fei Yang; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:1493-1504

Semi-Open Attribute Extraction from Chinese Functional Description Text

Li Zhang, Yanzeng Li, Rouyu Zhang, Wenjie Li; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:1505-1520

Regularized Mutual Learning for Personalized Federated Learning

Ruihong Yang, Junchao Tian, Yu Zhang; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:1521-1536

Relation Also Need Attention: Integrating Relation Information Into Image Captioning

Tianyu Chen, Zhixin Li, Tiantao Xian, Canlong Zhang, Huifang Ma; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:1537-1552

Learning to Switch Optimizers for Quadratic Programming

Grant Getzelman, Prasanna Balaprakash; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:1553-1568

Perturbing Eigenvalues with Residual Learning in Graph Convolutional Neural Networks

Shibo Yao, Dantong Yu, Xiangmin Jiao; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:1569-1584

Bayesian nonparametric model for arbitrary cubic partitioning

Masahiro Nakano, Yasuhiro Fujiwara, Akisato Kimura, Takeshi Yamada, Naonori Ueda; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:1585-1600

Bayesian Inference for Optimal Transport with Stochastic Cost

Anton Mallasto, Markus Heinonen, Samuel Kaski; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:1601-1616

Multi-view Latent Subspace Clustering based on both Global and Local Structure

Zhou Honghan, Cai Weiling, Xu Le, Yang Ming; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:1617-1632

Augmenting Imbalanced Time-series Data via Adversarial Perturbation in Latent Space

Beomsoo Kim, Jang-Ho Choi, Jaegul Choo; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:1633-1644

Building Decision Tree for Imbalanced Classification via Deep Reinforcement Learning

Guixuan Wen, Kaigui Wu; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:1645-1659

Speaker Diarization as a Fully Online Bandit Learning Problem in MiniVox

Baihan Lin, Xinxin Zhang; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:1660-1674

Video Action Recognition with Neural Architecture Search

Yuanding Zhou, Baopu Li, Zhihui Wang, Haojie Li; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:1675-1690

Learning Maximum Margin Markov Networks from examples with missing labels

Vojtech Franc, Andrii Yermakov; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:1691-1706

Maximization of Monotone $k$-Submodular Functions with Bounded Curvature and Non-$k$-Submodular Functions

Tatsuya Matsuoka, Naoto Ohsaka; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:1707-1722

Unsupervised Cycle-Consistent Network for Removing Susceptibility Artifacts in Single-shot EPI

Weida Xie, Shi Chen, Qingjia Bao, Kewen Liu, Zhao Li, Xiaojun Li, Chongxin Bai, Piqiang Li, Chaoyang Liu, Otikovs Martins; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:1723-1738

Hybrid Summarization with Semantic Weighting Reward and Latent Structure Detector

Mingyang Song, Liping Jing, Yi Feng, Zhiwei Sun, Lin Xiao; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:1739-1754

Fast Rate Learning in Stochastic First Price Bidding

Juliette Achddou, Olivier Cappé, Aurélien Garivier; Proceedings of The 13th Asian Conference on Machine Learning, PMLR 157:1754-1769

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