Machine Learning

Authors and titles for September 2021

[1] arXiv:2109.00020 [pdf, other]

Title: Working Memory Connections for LSTM

Federico Landi, Lorenzo Baraldi, Marcella Cornia, Rita Cucchiara

Comments: Accepted for publication in Neural Networks

Subjects: Machine Learning (cs.LG); Computation and Language (cs.CL); Computer Vision and Pattern Recognition (cs.CV); Neural and Evolutionary Computing (cs.NE)

[2] arXiv:2109.00060 [pdf, other]

Title: Data-Driven Reduced-Order Modeling of Spatiotemporal Chaos with Neural Ordinary Differential Equations

Alec J. Linot, Michael D. Graham

Subjects: Machine Learning (cs.LG); Chaotic Dynamics (nlin.CD)

[3] arXiv:2109.00095 [pdf, other]

Title: Quantized Convolutional Neural Networks Through the Lens of Partial Differential Equations

Ido Ben-Yair, Gil Ben Shalom, Moshe Eliasof, Eran Treister

Subjects: Machine Learning (cs.LG)

[4] arXiv:2109.00101 [pdf, other]

Title: Position-based Hash Embeddings For Scaling Graph Neural Networks

Maria Kalantzi, George Karypis

Comments: 11 pages

Subjects: Machine Learning (cs.LG); Neural and Evolutionary Computing (cs.NE)

[5] arXiv:2109.00125 [pdf, other]

Title: A Weight Initialization Based on the Linear Product Structure for Neural Networks

Qipin Chen, Wenrui Hao, Juncai He

Comments: 18 pages, 4 figures

Journal-ref: Applied Mathematics and Computation. 415(2022)

Subjects: Machine Learning (cs.LG); Numerical Analysis (math.NA)

[6] arXiv:2109.00126 [pdf, other]

Title: Online Dynamic Window (ODW) Assisted Two-stage LSTM Frameworks for Indoor Localization

Mohammadamin Atashi, Mohammad Salimibeni, Arash Mohammadi

Subjects: Machine Learning (cs.LG); Signal Processing (eess.SP)

[7] arXiv:2109.00138 [pdf, other]

Title: Deep Dual Support Vector Data Description for Anomaly Detection on Attributed Networks

Fengbin Zhang, Haoyi Fan, Ruidong Wang, Zuoyong Li, Tiancai Liang

Comments: Accepted by International Journal of Intelligent Systems. Copyright (c) 2021 Wiley. The source codes will be publicly available at this https URL

Subjects: Machine Learning (cs.LG)

[8] arXiv:2109.00150 [pdf, other]

Title: Federated Reconnaissance: Efficient, Distributed, Class-Incremental Learning

Sean M. Hendryx, Dharma Raj KC, Bradley Walls, Clayton T. Morrison

Subjects: Machine Learning (cs.LG)

[9] arXiv:2109.00151 [pdf, other]

Title: Asynchronous Federated Learning for Sensor Data with Concept Drift

Yujing Chen, Zheng Chai, Yue Cheng, Huzefa Rangwala

Subjects: Machine Learning (cs.LG); Distributed, Parallel, and Cluster Computing (cs.DC)

[10] arXiv:2109.00157 [pdf, other]

Title: A Survey of Exploration Methods in Reinforcement Learning

Susan Amin, Maziar Gomrokchi, Harsh Satija, Herke van Hoof, Doina Precup

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)

[11] arXiv:2109.00190 [pdf, other]

Title: Approximation Properties of Deep ReLU CNNs

Juncai He, Lin Li, Jinchao Xu

Comments: 30 pages

Journal-ref: Research in the Mathematical Sciences, 2022

Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)

[12] arXiv:2109.00201 [pdf, other]

Title: An Empirical Study on the Joint Impact of Feature Selection and Data Re-sampling on Imbalance Classification

Chongsheng Zhang, Paolo Soda, Jingjun Bi, Gaojuan Fan, George Almpanidis, Salvador Garcia

Comments: 25 pages, 12 figures; revision v1

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computer Vision and Pattern Recognition (cs.CV)

[13] arXiv:2109.00202 [pdf, other]

Title: Federated Learning: Issues in Medical Application

Joo Hun Yoo, Hyejun Jeong, Jaehyeok Lee, Tai-Myoung Chung

Comments: 20 pages, 3 figures, 1 table, submitted to FDSE2021

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)

[14] arXiv:2109.00238 [pdf, other]

Title: Complexity Measures for Multi-objective Symbolic Regression

Michael Kommenda, Andreas Beham, Michael Affenzeller, Gabriel Kronberger

Comments: International Conference on Computer Aided Systems Theory, Eurocast 2015, pp 409-416

Journal-ref: In: Moreno-D\'iaz R. et al (eds) Computer Aided Systems Theory, EUROCAST 2015. Lecture Notes in Computer Science, vol 9520 (2015)

Subjects: Machine Learning (cs.LG); Neural and Evolutionary Computing (cs.NE)

[15] arXiv:2109.00267 [pdf, other]

Title: The Impact of Reinitialization on Generalization in Convolutional Neural Networks

Ibrahim Alabdulmohsin, Hartmut Maennel, Daniel Keysers

Comments: 12 figures, 7 tables

Subjects: Machine Learning (cs.LG)

[16] arXiv:2109.00516 [pdf, other]

Title: Multistage Pruning of CNN Based ECG Classifiers for Edge Devices

Xiaolin Li, Rajesh Panicker, Barry Cardiff, Deepu John

Comments: 4 pages

Subjects: Machine Learning (cs.LG); Signal Processing (eess.SP)

[17] arXiv:2109.00520 [pdf, other]

Title: The Role of Explainability in Assuring Safety of Machine Learning in Healthcare

Yan Jia, John McDermid, Tom Lawton, Ibrahim Habli

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)

[18] arXiv:2109.00521 [pdf, other]

Title: Don't Discard All the Biased Instances: Investigating a Core Assumption in Dataset Bias Mitigation Techniques

Hossein Amirkhani, Mohammad Taher Pilehvar

Comments: Findings of EMNLP, 2021

Subjects: Machine Learning (cs.LG); Computation and Language (cs.CL)

[19] arXiv:2109.00525 [pdf, other]

Title: Catastrophic Interference in Reinforcement Learning: A Solution Based on Context Division and Knowledge Distillation

Tiantian Zhang, Xueqian Wang, Bin Liang, Bo Yuan

Comments: 21 pages

Journal-ref: IEEE Transactions on Neural Networks and Learning Systems, 2022

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)

[20] arXiv:2109.00528 [pdf, other]

Title: Wasserstein GANs with Gradient Penalty Compute Congested Transport

Tristan Milne, Adrian Nachman

Comments: 27 pages. This version accepted for publication at the 35th Annual Conference on Learning Theory (COLT 2022), this https URL

Journal-ref: Proceedings of Thirty Fifth Conference on Learning Theory, PMLR 178:103-129, 2022

Subjects: Machine Learning (cs.LG); Optimization and Control (math.OC); Machine Learning (stat.ML)

[21] arXiv:2109.00533 [pdf, other]

Title: R-SNN: An Analysis and Design Methodology for Robustifying Spiking Neural Networks against Adversarial Attacks through Noise Filters for Dynamic Vision Sensors

Alberto Marchisio, Giacomo Pira, Maurizio Martina, Guido Masera, Muhammad Shafique

Comments: To appear at the 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2021). arXiv admin note: text overlap with arXiv:2107.00415

Subjects: Machine Learning (cs.LG); Cryptography and Security (cs.CR); Neural and Evolutionary Computing (cs.NE)

[22] arXiv:2109.00542 [pdf, other]

Title: Shared Certificates for Neural Network Verification

Marc Fischer, Christian Sprecher, Dimitar I. Dimitrov, Gagandeep Singh, Martin Vechev

Comments: Extended version of our CAV'22 paper

Subjects: Machine Learning (cs.LG); Cryptography and Security (cs.CR)

[23] arXiv:2109.00545 [pdf, other]

Title: Fair Representation: Guaranteeing Approximate Multiple Group Fairness for Unknown Tasks

Xudong Shen, Yongkang Wong, Mohan Kankanhalli

Comments: published in TPAMI

Subjects: Machine Learning (cs.LG); Computer Vision and Pattern Recognition (cs.CV); Computers and Society (cs.CY)

[24] arXiv:2109.00570 [pdf, other]

Title: Process parameter optimization of Friction Stir Welding on 6061AA using Supervised Machine Learning Regression-based Algorithms

Akshansh Mishra, Eyob Messele Sefene, Assefa Asmare Tsegaw

Subjects: Machine Learning (cs.LG)

[25] arXiv:2109.00577 [pdf, other]

Title: FaVoA: Face-Voice Association Favours Ambiguous Speaker Detection

Hugo Carneiro, Cornelius Weber, Stefan Wermter

Subjects: Machine Learning (cs.LG); Computer Vision and Pattern Recognition (cs.CV); Sound (cs.SD); Audio and Speech Processing (eess.AS); Image and Video Processing (eess.IV)

[26] arXiv:2109.00594 [pdf, other]

Title: Wearable-based Classification of Running Styles with Deep Learning

Setareh Rahimi Taghanaki, Michael Rainbow, Ali Etemad

Comments: This paper is accepted to the 17th IEEE-EMBS International Conference on Wearable and Implantable Body Sensor Networks (BSN), 2021

Subjects: Machine Learning (cs.LG); Signal Processing (eess.SP)

[27] arXiv:2109.00596 [pdf, other]

Title: Streaming data preprocessing via online tensor recovery for large environmental sensor networks

Yue Hu, Ao Qu, Yanbing Wang, Dan Work

Subjects: Machine Learning (cs.LG)

[28] arXiv:2109.00635 [pdf, other]

Title: Selecting Optimal Trace Clustering Pipelines with AutoML

Sylvio Barbon Jr, Paolo Ceravolo, Ernesto Damiani, Gabriel Marques Tavares

Comments: 17 pages, 7 figures

Subjects: Machine Learning (cs.LG); Information Retrieval (cs.IR); Software Engineering (cs.SE)

[29] arXiv:2109.00644 [pdf, other]

Title: RIFLE: Imputation and Robust Inference from Low Order Marginals

Sina Baharlouei, Kelechi Ogudu, Sze-chuan Suen, Meisam Razaviyayn

Comments: 36 pages, 11 figures

Journal-ref: Transaction on Machine Learning Research (TMLR), 09/2023

Subjects: Machine Learning (cs.LG); Mathematical Software (cs.MS)

[30] arXiv:2109.00650 [pdf, other]

Title: Dash: Semi-Supervised Learning with Dynamic Thresholding

Yi Xu, Lei Shang, Jinxing Ye, Qi Qian, Yu-Feng Li, Baigui Sun, Hao Li, Rong Jin

Comments: ICML 2021

Subjects: Machine Learning (cs.LG); Computer Vision and Pattern Recognition (cs.CV); Machine Learning (stat.ML)

[31] arXiv:2109.00666 [pdf, other]

Title: TabFairGAN: Fair Tabular Data Generation with Generative Adversarial Networks

Amirarsalan Rajabi, Ozlem Ozmen Garibay

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)

[32] arXiv:2109.00685 [pdf, other]

Title: Excess Capacity and Backdoor Poisoning

Naren Sarayu Manoj, Avrim Blum

Comments: Accepted to NeurIPS 2021

Subjects: Machine Learning (cs.LG); Cryptography and Security (cs.CR); Machine Learning (stat.ML)

[33] arXiv:2109.00691 [pdf, other]

Title: Global Convolutional Neural Processes

Xuesong Wang, Lina Yao, Xianzhi Wang, Hye-young Paik, Sen Wang

Subjects: Machine Learning (cs.LG)

[34] arXiv:2109.00707 [pdf, other]

Title: Cross-Model Consensus of Explanations and Beyond for Image Classification Models: An Empirical Study

Xuhong Li, Haoyi Xiong, Siyu Huang, Shilei Ji, Dejing Dou

Subjects: Machine Learning (cs.LG)

[35] arXiv:2109.00708 [pdf, other]

Title: Efficient Algorithms For Fair Clustering with a New Fairness Notion

Shivam Gupta, Ganesh Ghalme, Narayanan C. Krishnan, Shweta Jain

Comments: 41 Pages, 12 Figures, 2 Tables

Journal-ref: Data Mining and Knowledge Discovery (S.I: Bias and Fairness) 2023

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computers and Society (cs.CY)

[36] arXiv:2109.00711 [pdf, other]

Title: Heterogeneous relational message passing networks for molecular dynamics simulations

Zun Wang, Chong Wang, Sibo Zhao, Yong Xu, Shaogang Hao, Chang Yu Hsieh, Bing-Lin Gu, Wenhui Duan

Subjects: Machine Learning (cs.LG); Disordered Systems and Neural Networks (cond-mat.dis-nn)

[37] arXiv:2109.00724 [pdf, other]

Title: RF-LighGBM: A probabilistic ensemble way to predict customer repurchase behaviour in community e-commerce

Liping Yang, Xiaxia Niu, Jun Wu

Comments: 15 pages, 8 figures, 5 tables, 20 refences

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)

[38] arXiv:2109.00749 [pdf, other]

Title: Co-Separable Nonnegative Matrix Factorization

Junjun Pan, Michael K. Ng

Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)

[39] arXiv:2109.00783 [pdf, html, other]

Title: Computer Vision Self-supervised Learning Methods on Time Series

Daesoo Lee, Erlend Aune

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Machine Learning (stat.ML)

[40] arXiv:2109.00794 [pdf, other]

Title: Semi-Supervised Learning using Siamese Networks

Attaullah Sahito, Eibe Frank, Bernhard Pfahringer

Comments: added link of GitHub repository

Journal-ref: In AI 2019: Advances in Artificial Intelligence. AI 2019 . Lecture Notes in Computer Science, vol 11919. Springer, Cham

Subjects: Machine Learning (cs.LG); Computer Vision and Pattern Recognition (cs.CV)

[41] arXiv:2109.00817 [pdf, other]

Title: NASI: Label- and Data-agnostic Neural Architecture Search at Initialization

Yao Shu, Shaofeng Cai, Zhongxiang Dai, Beng Chin Ooi, Bryan Kian Hsiang Low

Comments: Published as a conference paper at ICLR 2022

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)

[42] arXiv:2109.00855 [pdf, other]

Title: Inferring feature importance with uncertainties in high-dimensional data

Pål Vegard Johnsen, Inga Strümke, Signe Riemer-Sørensen, Andrew Thomas DeWan, Mette Langaas

Subjects: Machine Learning (cs.LG); Methodology (stat.ME); Machine Learning (stat.ML)

[43] arXiv:2109.00882 [pdf, other]

Title: MACRPO: Multi-Agent Cooperative Recurrent Policy Optimization

Eshagh Kargar, Ville Kyrki

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computer Science and Game Theory (cs.GT); Multiagent Systems (cs.MA); Robotics (cs.RO)

[44] arXiv:2109.00909 [pdf, other]

Title: Sparsifying the Update Step in Graph Neural Networks

Johannes F. Lutzeyer, Changmin Wu, Michalis Vazirgiannis

Comments: 11 pages

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Social and Information Networks (cs.SI)

[45] arXiv:2109.00922 [pdf, other]

Title: Improving Multimodal fusion via Mutual Dependency Maximisation

Pierre Colombo, Emile Chapuis, Matthieu Labeau, Chloe Clavel

Journal-ref: EMNLP 2021

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computation and Language (cs.CL)

[46] arXiv:2109.00924 [pdf, other]

Title: Parallel Multi-Graph Convolution Network For Metro Passenger Volume Prediction

Fuchen Gao, Zhanquan Wang, Zhenguang Liu

Subjects: Machine Learning (cs.LG)

[47] arXiv:2109.00946 [pdf, other]

Title: Adversarial Robustness for Unsupervised Domain Adaptation

Muhammad Awais, Fengwei Zhou, Hang Xu, Lanqing Hong, Ping Luo, Sung-Ho Bae, Zhenguo Li

Comments: Accepted by ICCV 2021

Subjects: Machine Learning (cs.LG); Computer Vision and Pattern Recognition (cs.CV)

[48] arXiv:2109.00959 [pdf, other]

Title: Building Compact and Robust Deep Neural Networks with Toeplitz Matrices

Alexandre Araujo

Comments: Thesis

Subjects: Machine Learning (cs.LG)

[49] arXiv:2109.00984 [pdf, other]

Title: CrypTen: Secure Multi-Party Computation Meets Machine Learning

Brian Knott, Shobha Venkataraman, Awni Hannun, Shubho Sengupta, Mark Ibrahim, Laurens van der Maaten

Subjects: Machine Learning (cs.LG); Cryptography and Security (cs.CR)

[50] arXiv:2109.01036 [pdf, other]

Title: MrSQM: Fast Time Series Classification with Symbolic Representations

Thach Le Nguyen, Georgiana Ifrim

Subjects: Machine Learning (cs.LG)