Machine Learning

Authors and titles for September 2021

[101] arXiv:2109.02008 [pdf, other]

Title: Cross-token Modeling with Conditional Computation

Yuxuan Lou, Fuzhao Xue, Zangwei Zheng, Yang You

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

[102] arXiv:2109.02027 [pdf, other]

Title: Structural Optimization Makes Graph Classification Simpler and Better

Junran Wu, Jianhao Li, Yicheng Pan, Ke Xu

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

[103] arXiv:2109.02032 [pdf, other]

Title: Soft Hierarchical Graph Recurrent Networks for Many-Agent Partially Observable Environments

Zhenhui Ye, Xiaohong Jiang, Guanghua Song, Bowei Yang

Comments: 9 pages, 6 figures, 1 table. Under review

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

[104] arXiv:2109.02038 [pdf, other]

Title: NAS-OoD: Neural Architecture Search for Out-of-Distribution Generalization

Haoyue Bai, Fengwei Zhou, Lanqing Hong, Nanyang Ye, S.-H. Gary Chan, Zhenguo Li

Comments: Accepted by ICCV2021

Subjects: Machine Learning (cs.LG)

[105] arXiv:2109.02074 [pdf, other]

Title: Global-Local Item Embedding for Temporal Set Prediction

Seungjae Jung, Young-Jin Park, Jisu Jeong, Kyung-Min Kim, Hiun Kim, Minkyu Kim, Hanock Kwak

Comments: 8 pages, 3 figures. To appear in RecSys 2021 LBR

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

[106] arXiv:2109.02082 [pdf, other]

Title: Nonparametric Extrema Analysis in Time Series for Envelope Extraction, Peak Detection and Clustering

Kaan Gokcesu, Hakan Gokcesu

Subjects: Machine Learning (cs.LG); Signal Processing (eess.SP); Mathematical Finance (q-fin.MF); Machine Learning (stat.ML)

[107] arXiv:2109.02100 [pdf, other]

Title: Cluster-Promoting Quantization with Bit-Drop for Minimizing Network Quantization Loss

Jung Hyun Lee, Jihun Yun, Sung Ju Hwang, Eunho Yang

Comments: Accepted to ICCV 2021

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

[108] arXiv:2109.02117 [pdf, other]

Title: VARGAN: Variance Enforcing Network Enhanced GAN

Sanaz Mohammadjafari, Mucahit Cevik, Ayse Basar

Subjects: Machine Learning (cs.LG)

[109] arXiv:2109.02145 [pdf, other]

Title: Temporal Shift Reinforcement Learning

Deepak George Thomas, Tichakorn Wongpiromsarn, Ali Jannesari

Subjects: Machine Learning (cs.LG)

[110] arXiv:2109.02160 [pdf, other]

Title: Urban Fire Station Location Planning using Predicted Demand and Service Quality Index

Arnab Dey, Andrew Heger, Darin England

Subjects: Machine Learning (cs.LG); Information Retrieval (cs.IR); Optimization and Control (math.OC)

[111] arXiv:2109.02235 [pdf, other]

Title: Gradient Normalization for Generative Adversarial Networks

Yi-Lun Wu, Hong-Han Shuai, Zhi-Rui Tam, Hong-Yu Chiu

Comments: Published as a conference paper at ICCV 2021

Subjects: Machine Learning (cs.LG)

[112] arXiv:2109.02241 [pdf, other]

Title: Supervised DKRC with Images for Offline System Identification

Alexander Krolicki, Pierre-Yves Lavertu

Comments: 7 Pages, 9 Figures, 2 Algorithms, will be updated with updated examples once available

Subjects: Machine Learning (cs.LG); Systems and Control (eess.SY)

[113] arXiv:2109.02248 [pdf, other]

Title: Quantifying the Reproducibility of Graph Neural Networks using Multigraph Brain Data

Mohammed Amine Gharsallaoui, Islem Rekik

Subjects: Machine Learning (cs.LG)

[114] arXiv:2109.02314 [pdf, other]

Title: Fast Hypergraph Regularized Nonnegative Tensor Ring Factorization Based on Low-Rank Approximation

Xinhai Zhao, Yuyuan Yu, Guoxu Zhou, Qibin Zhao, Weijun Sun

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

[115] arXiv:2109.02332 [pdf, other]

Title: Hindsight Reward Tweaking via Conditional Deep Reinforcement Learning

Ning Wei, Jiahua Liang, Di Xie, Shiliang Pu

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

[116] arXiv:2109.02351 [pdf, other]

Title: F3: Fair and Federated Face Attribute Classification with Heterogeneous Data

Samhita Kanaparthy, Manisha Padala, Sankarshan Damle, Ravi Kiran Sarvadevabhatla, Sujit Gujar

Comments: This paper is accepted as 2-page extended abstract at CODS-COMAD 2022 with title "Fair Federated Learning for Heterogeneous Face Data"

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

[117] arXiv:2109.02358 [pdf, other]

Title: Pointspectrum: Equivariance Meets Laplacian Filtering for Graph Representation Learning

Marinos Poiitis, Pavlos Sermpezis, Athena Vakali

Comments: 13 pages, 8 figures, 6 tables

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

[118] arXiv:2109.02381 [pdf, other]

Title: Backdoor Attack and Defense for Deep Regression

Xi Li, George Kesidis, David J. Miller, Vladimir Lucic

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

[119] arXiv:2109.02388 [pdf, other]

Title: On Second-order Optimization Methods for Federated Learning

Sebastian Bischoff, Stephan Günnemann, Martin Jaggi, Sebastian U. Stich

Comments: ICML 2021 Workshop "Beyond first-order methods in ML systems"

Subjects: Machine Learning (cs.LG)

[120] arXiv:2109.02396 [pdf, other]

Title: Byzantine-Robust Federated Learning via Credibility Assessment on Non-IID Data

Kun Zhai, Qiang Ren, Junli Wang, Chungang Yan

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

[121] arXiv:2109.02411 [pdf, other]

Title: Data-Driven Wind Turbine Wake Modeling via Probabilistic Machine Learning

S. Ashwin Renganathan, Romit Maulik, Stefano Letizia, Giacomo Valerio Iungo

Comments: 18 pages, 10 figures

Subjects: Machine Learning (cs.LG); Data Analysis, Statistics and Probability (physics.data-an)

[122] arXiv:2109.02439 [pdf, other]

Title: Developing and validating multi-modal models for mortality prediction in COVID-19 patients: a multi-center retrospective study

Joy Tzung-yu Wu, Miguel Ángel Armengol de la Hoz, Po-Chih Kuo, Joseph Alexander Paguio, Jasper Seth Yao, Edward Christopher Dee, Wesley Yeung, Jerry Jurado, Achintya Moulick, Carmelo Milazzo, Paloma Peinado, Paula Villares, Antonio Cubillo, José Felipe Varona, Hyung-Chul Lee, Alberto Estirado, José Maria Castellano, Leo Anthony Celi

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

[123] arXiv:2109.02441 [pdf, other]

Title: Application of Monte Carlo Stochastic Optimization (MOST) to Deep Learning

Sin-ichi Inage, Hana Hebishima

Comments: 13 pages, 8 figures

Subjects: Machine Learning (cs.LG)

[124] arXiv:2109.02442 [pdf, other]

Title: Parkinson's Disease Diagnosis based on Gait Cycle Analysis Through an Interpretable Interval Type-2 Neuro-Fuzzy System

Armin Salimi-Badr, Mohammad Hashemi, Hamidreza Saffari

Journal-ref: Applied Intelligence, 2022

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

[125] arXiv:2109.02469 [pdf, other]

Title: Active Learning for Automated Visual Inspection of Manufactured Products

Elena Trajkova, Jože M. Rožanec, Paulien Dam, Blaž Fortuna, Dunja Mladenić

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

[126] arXiv:2109.02474 [pdf, other]

Title: TraverseNet: Unifying Space and Time in Message Passing for Traffic Forecasting

Zonghan Wu, Da Zheng, Shirui Pan, Quan Gan, Guodong Long, George Karypis

Comments: 10 pages

Journal-ref: IEEE transactions on neural networks and learning systems. 2022

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

[127] arXiv:2109.02485 [pdf, other]

Title: Severity and Mortality Prediction Models to Triage Indian COVID-19 Patients

Samarth Bhatia (1), Yukti Makhija (1), Sneha Jayaswal (3), Shalendra Singh (2), Ishaan Gupta (1) ((1) Indian Institute of Technology, Delhi, (2) Armed Forces Medical College, Pune, (3) Christian Medical College Ludhiana)

Comments: 31 pages, 6 figures, 8 tables. The first two authors (SB and YM) have equal contribution. IG is the corresponding author (ishaan@iitd.this http URL) Changes: Author List updated

Subjects: Machine Learning (cs.LG); Populations and Evolution (q-bio.PE)

[128] arXiv:2109.02490 [pdf, other]

Title: Learning Interpretable Representations of Entanglement in Quantum Optics Experiments using Deep Generative Models

Daniel Flam-Shepherd, Tony Wu, Xuemei Gu, Alba Cervera-Lierta, Mario Krenn, Alan Aspuru-Guzik

Comments: Published in Nature Machine Intelligence this https URL

Journal-ref: Nature Machine Intelligence 4, 544 (2022)

Subjects: Machine Learning (cs.LG); Quantum Physics (quant-ph)

[129] arXiv:2109.02496 [pdf, other]

Title: Statistical Privacy Guarantees of Machine Learning Preprocessing Techniques

Ashly Lau, Jonathan Passerat-Palmbach

Comments: Accepted to the ICML 2021 Theory and Practice of Differential Privacy Workshop

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

[130] arXiv:2109.02517 [pdf, other]

Title: Error Controlled Actor-Critic

Xingen Gao, Fei Chao, Changle Zhou, Zhen Ge, Chih-Min Lin, Longzhi Yang, Xiang Chang, Changjing Shang

Subjects: Machine Learning (cs.LG)

[131] arXiv:2109.02532 [pdf, other]

Title: Automated Robustness with Adversarial Training as a Post-Processing Step

Ambrish Rawat, Mathieu Sinn, Beat Buesser

Subjects: Machine Learning (cs.LG)

[132] arXiv:2109.02533 [pdf, other]

Title: Neural Ensemble Search via Bayesian Sampling

Yao Shu, Yizhou Chen, Zhongxiang Dai, Bryan Kian Hsiang Low

Comments: Published as a conference paper at UAI 2022

Subjects: Machine Learning (cs.LG)

[133] arXiv:2109.02543 [pdf, other]

Title: Generation of Synthetic Electronic Health Records Using a Federated GAN

John Weldon, Tomas Ward, Eoin Brophy

Subjects: Machine Learning (cs.LG)

[134] arXiv:2109.02587 [pdf, other]

Title: Delving into Macro Placement with Reinforcement Learning

Zixuan Jiang, Ebrahim Songhori, Shen Wang, Anna Goldie, Azalia Mirhoseini, Joe Jiang, Young-Joon Lee, David Z. Pan

Comments: Accepted at 3rd ACM/IEEE Workshop on Machine Learning for CAD (MLCAD)

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

[135] arXiv:2109.02596 [pdf, other]

Title: Scikit-dimension: a Python package for intrinsic dimension estimation

Jonathan Bac, Evgeny M. Mirkes, Alexander N. Gorban, Ivan Tyukin, Andrei Zinovyev

Comments: 12 pages, 4 figures, 1 table

Journal-ref: Entropy, 2021, 23(10), 1368

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

[136] arXiv:2109.02606 [pdf, other]

Title: Gaussian Process Uniform Error Bounds with Unknown Hyperparameters for Safety-Critical Applications

Alexandre Capone, Armin Lederer, Sandra Hirche

Subjects: Machine Learning (cs.LG); Robotics (cs.RO); Systems and Control (eess.SY)

[137] arXiv:2109.02610 [pdf, other]

Title: EsmamDS: A more diverse exceptional survival model mining approach

Juliana Barcellos Mattos, Paulo S. G. de Mattos Neto, Renato Vimieiro

Subjects: Machine Learning (cs.LG)

[138] arXiv:2109.02628 [pdf, other]

Title: A Method for Inferring Polymers Based on Linear Regression and Integer Programming

Ryota Ido, Shengjuan Cao, Jianshen Zhu, Naveed Ahmed Azam, Kazuya Haraguchi, Liang Zhao, Hiroshi Nagamochi, Tatsuya Akutsu

Comments: arXiv admin note: substantial text overlap with arXiv:2107.02381; text overlap with arXiv:2108.10266

Subjects: Machine Learning (cs.LG)

[139] arXiv:2109.02629 [pdf, other]

Title: An Efficient Deep Learning Approach Using Improved Generative Adversarial Networks for Incomplete Information Completion of Self-driving

Jingzhi Tu, Gang Mei, Francesco Piccialli

Comments: 10 figures, 4 tables

Subjects: Machine Learning (cs.LG)

[140] arXiv:2109.02631 [pdf, other]

Title: Guiding Global Placement With Reinforcement Learning

Robert Kirby, Kolby Nottingham, Rajarshi Roy, Saad Godil, Bryan Catanzaro

Subjects: Machine Learning (cs.LG)

[141] arXiv:2109.02645 [pdf, other]

Title: Backpropagation and fuzzy algorithm Modelling to Resolve Blood Supply Chain Issues in the Covid-19 Pandemic

Aan Erlansari, Rusdi Effendi, Funny Farady C, Andang Wijanarko, Boko Susilo, Reza Hardiansyah

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

[142] arXiv:2109.02704 [pdf, other]

Title: gen2Out: Detecting and Ranking Generalized Anomalies

Meng-Chieh Lee, Shubhranshu Shekhar, Christos Faloutsos, T. Noah Hutson, Leon Iasemidis

Comments: In Proceedings of 2021 IEEE International Conference on Big Data (Big Data)

Subjects: Machine Learning (cs.LG)

[143] arXiv:2109.02715 [pdf, other]

Title: Individual Mobility Prediction via Attentive Marked Temporal Point Processes

Yuankai Wu, Zhanhong Cheng, Lijun Sun

Subjects: Machine Learning (cs.LG)

[144] arXiv:2109.02717 [pdf, other]

Title: Iterative Pseudo-Labeling with Deep Feature Annotation and Confidence-Based Sampling

Barbara C Benato, Alexandru C Telea, Alexandre X Falcão

Subjects: Machine Learning (cs.LG)

[145] arXiv:2109.02724 [pdf, other]

Title: Bringing a Ruler Into the Black Box: Uncovering Feature Impact from Individual Conditional Expectation Plots

Andrew Yeh, Anhthy Ngo

Comments: Accepted to Advances in Interpretable Machine Learning and Artificial Intelligence (AIMLAI) workshop in ECML PKDD 2021

Subjects: Machine Learning (cs.LG)

[146] arXiv:2109.02752 [pdf, other]

Title: Training Deep Networks from Zero to Hero: avoiding pitfalls and going beyond

Moacir Antonelli Ponti, Fernando Pereira dos Santos, Leo Sampaio Ferraz Ribeiro, Gabriel Biscaro Cavallari

Comments: Extended version of SIBGRAPI 2021 Tutorial Paper

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

[147] arXiv:2109.02797 [pdf, other]

Title: Puzzle Solving without Search or Human Knowledge: An Unnatural Language Approach

David Noever, Ryerson Burdick

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

[148] arXiv:2109.02836 [pdf, other]

Title: Trojan Signatures in DNN Weights

Greg Fields, Mohammad Samragh, Mojan Javaheripi, Farinaz Koushanfar, Tara Javidi

Comments: 8 pages, 13 figures

Subjects: Machine Learning (cs.LG)

[149] arXiv:2109.02863 [pdf, other]

Title: Refinement of Hottopixx Method for Nonnegative Matrix Factorization Under Noisy Separability

Tomohiko Mizutani

Comments: 32 pages, 2 figures

Journal-ref: SIAM Journal on Matrix Analysis and Applications, 43(3):1029-1057, 2022

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

[150] arXiv:2109.02889 [pdf, other]

Title: Adversarial Parameter Defense by Multi-Step Risk Minimization

Zhiyuan Zhang, Ruixuan Luo, Xuancheng Ren, Qi Su, Liangyou Li, Xu Sun

Comments: Accepted to Neural Networks. A substantial journal extension of our previous conference paper arXiv:2006.05620

Journal-ref: Neural Networks 144C (2021) pp. 154-163

Subjects: Machine Learning (cs.LG)