Machine Learning

Authors and titles for September 2021

[301] arXiv:2109.05237 [pdf, other]

Title: Physics-based Deep Learning

Nils Thuerey, Philipp Holl, Maximilian Mueller, Patrick Schnell, Felix Trost, Kiwon Um

Comments: PBDL v0.2, available online at: this https URL

Subjects: Machine Learning (cs.LG); Computational Physics (physics.comp-ph)

[302] arXiv:2109.05257 [pdf, other]

Title: Towards a Rigorous Evaluation of Time-series Anomaly Detection

Siwon Kim, Kukjin Choi, Hyun-Soo Choi, Byunghan Lee, Sungroh Yoon

Comments: 11 pages, 8 figures

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

[303] arXiv:2109.05267 [pdf, other]

Title: Utility Fairness for the Differentially Private Federated Learning

Sheeraz A. Alvi, Yi Hong, Salman Durrani

Subjects: Machine Learning (cs.LG)

[304] arXiv:2109.05280 [pdf, other]

Title: Learning To Describe Player Form in The MLB

Connor Heaton, Prasenjit Mitra

Subjects: Machine Learning (cs.LG)

[305] arXiv:2109.05319 [pdf, other]

Title: HyP-ABC: A Novel Automated Hyper-Parameter Tuning Algorithm Using Evolutionary Optimization

Leila Zahedi, Farid Ghareh Mohammadi, M. Hadi Amini

Comments: 6 figures, 2 tables

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

[306] arXiv:2109.05351 [pdf, other]

Title: Remaining Useful Life Estimation of Hard Disk Drives using Bidirectional LSTM Networks

Austin Coursey, Gopal Nath, Srikanth Prabhu, Saptarshi Sengupta

Comments: 10 pages, 11 figures, 3 tables

Subjects: Machine Learning (cs.LG)

[307] arXiv:2109.05360 [pdf, other]

Title: Adaptive network reliability analysis: Methodology and applications to power grid

Nariman L. Dehghani, Soroush Zamanian, Abdollah Shafieezadeh

Journal-ref: Reliability Engineering & System Safety (2021) 107973

Subjects: Machine Learning (cs.LG)

[308] arXiv:2109.05364 [pdf, other]

Title: Structure-preserving Sparse Identification of Nonlinear Dynamics for Data-driven Modeling

Kookjin Lee, Nathaniel Trask, Panos Stinis

Subjects: Machine Learning (cs.LG); Computational Physics (physics.comp-ph)

[309] arXiv:2109.05385 [pdf, other]

Title: On the Initial Behavior Monitoring Issues in Federated Learning

Ranwa Al Mallah, Godwin Badu-Marfo, Bilal Farooq

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

[310] arXiv:2109.05389 [pdf, other]

Title: Omnipredictors

Parikshit Gopalan, Adam Tauman Kalai, Omer Reingold, Vatsal Sharan, Udi Wieder

Comments: 35 pages, 1 figure

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

[311] arXiv:2109.05411 [pdf, other]

Title: Cost-Effective Federated Learning in Mobile Edge Networks

Bing Luo, Xiang Li, Shiqiang Wang, Jianwei Huang, Leandros Tassiulas

Comments: Accepted in IEEE JSAC Special Issue on Distributed Learning over Wireless Edge Networks. arXiv admin note: substantial text overlap with arXiv:2012.08336

Subjects: Machine Learning (cs.LG); Distributed, Parallel, and Cluster Computing (cs.DC); Networking and Internet Architecture (cs.NI); Systems and Control (eess.SY); Optimization and Control (math.OC)

[312] arXiv:2109.05429 [pdf, other]

Title: EMVLight: A Decentralized Reinforcement Learning Framework for Efficient Passage of Emergency Vehicles

Haoran Su, Yaofeng Desmond Zhong, Biswadip Dey, Amit Chakraborty

Comments: Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI-22)

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

[313] arXiv:2109.05439 [pdf, other]

Title: Concave Utility Reinforcement Learning with Zero-Constraint Violations

Mridul Agarwal, Qinbo Bai, Vaneet Aggarwal

Comments: Transactions on Machine Learning Research, Dec 2022

Journal-ref: Transactions on Machine Learning Research, Dec 2022

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

[314] arXiv:2109.05461 [pdf, other]

Title: Accurate Prediction Using Triangular Type-2 Fuzzy Linear Regression

Assef Zare, Afshin Shoeibi, Narges Shafaei, Parisa Moridian, Roohallah Alizadehsani, Majid Halaji, Abbas Khosravi

Subjects: Machine Learning (cs.LG)

[315] arXiv:2109.05463 [pdf, other]

Title: Logic Traps in Evaluating Attribution Scores

Yiming Ju, Yuanzhe Zhang, Zhao Yang, Zhongtao Jiang, Kang Liu, Jun Zhao

Comments: 12 pages, accepted by ACL 2022

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

[316] arXiv:2109.05468 [pdf, other]

Title: Feature Importance in Gradient Boosting Trees with Cross-Validation Feature Selection

Afek Ilay Adler, Amichai Painsky

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

[317] arXiv:2109.05472 [pdf, other]

Title: Compute and Energy Consumption Trends in Deep Learning Inference

Radosvet Desislavov, Fernando Martínez-Plumed, José Hernández-Orallo

Comments: For a revised version and its published version refer to: Desislavov, Radosvet, Fernando Martínez-Plumed, and José Hernández-Orallo. Trends in AI inference energy consumption: Beyond the performance-vs-parameter laws of deep learning. Sustainable Computing: Informatics and Systems, Volume 38, April 2023. (this https URL)

Journal-ref: "Trends in AI inference energy consumption: Beyond the performance-vs-parameter laws of deep learning" Sustainable Computing: Informatics and Systems (2023). Volume 38, April 2023, 100857

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

[318] arXiv:2109.05490 [pdf, other]

Title: HyAR: Addressing Discrete-Continuous Action Reinforcement Learning via Hybrid Action Representation

Boyan Li, Hongyao Tang, Yan Zheng, Jianye Hao, Pengyi Li, Zhen Wang, Zhaopeng Meng, Li Wang

Comments: Accepted on ICLR 2022

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

[319] arXiv:2109.05491 [pdf, other]

Title: DynSTGAT: Dynamic Spatial-Temporal Graph Attention Network for Traffic Signal Control

Libing Wu, Min Wang, Dan Wu, Jia Wu

Comments: I need to revise it

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

[320] arXiv:2109.05535 [pdf, other]

Title: Adversarial Representation Learning With Closed-Form Solvers

Bashir Sadeghi, Lan Wang, Vishnu Naresh Boddeti

Subjects: Machine Learning (cs.LG)

[321] arXiv:2109.05546 [pdf, other]

Title: Improved Algorithms for Misspecified Linear Markov Decision Processes

Daniel Vial, Advait Parulekar, Sanjay Shakkottai, R. Srikant

Comments: This version adds an intuitive explanation in Section 3

Journal-ref: International Conference on Artificial Intelligence and Statistics (AISTATS) 2022

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

[322] arXiv:2109.05549 [pdf, other]

Title: Federated Ensemble Model-based Reinforcement Learning in Edge Computing

Jin Wang, Jia Hu, Jed Mills, Geyong Min, Ming Xia

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

[323] arXiv:2109.05554 [pdf, other]

Title: No True State-of-the-Art? OOD Detection Methods are Inconsistent across Datasets

Fahim Tajwar, Ananya Kumar, Sang Michael Xie, Percy Liang

Comments: ICML Workshop on Uncertainty & Robustness in Deep Learning, 2021

Subjects: Machine Learning (cs.LG)

[324] arXiv:2109.05558 [pdf, other]

Title: CoG: a Two-View Co-training Framework for Defending Adversarial Attacks on Graph

Xugang Wu, Huijun Wu, Xu Zhou, Kai Lu

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

[325] arXiv:2109.05574 [pdf, other]

Title: Machine Learning for Naval Architecture, Ocean and Marine Engineering

J P Panda

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

[326] arXiv:2109.05581 [pdf, other]

Title: Data Analytics for Smart cities: Challenges and Promises

Farid Ghareh Mohammadi, Farzan Shenavarmasouleh, M. Hadi Amini, Hamid R. Arabnia

Comments: 12 pages, 2 figures

Subjects: Machine Learning (cs.LG)

[327] arXiv:2109.05587 [pdf, other]

Title: On the Efficiency of Subclass Knowledge Distillation in Classification Tasks

Ahmad Sajedi, Konstantinos N. Plataniotis

Comments: Changing the material of the paper. I will resubmitted again after correction

Subjects: Machine Learning (cs.LG)

[328] arXiv:2109.05594 [pdf, other]

Title: Detecting Handwritten Mathematical Terms with Sensor Based Data

Lukas Wegmeth, Alexander Hoelzemann, Kristof Van Laerhoven

Subjects: Machine Learning (cs.LG)

[329] arXiv:2109.05612 [pdf, other]

Title: FedTriNet: A Pseudo Labeling Method with Three Players for Federated Semi-supervised Learning

Liwei Che, Zewei Long, Jiaqi Wang, Yaqing Wang, Houping Xiao, Fenglong Ma

Comments: Accepted by BigData 2021

Subjects: Machine Learning (cs.LG)

[330] arXiv:2109.05613 [pdf, other]

Title: Critical Learning Periods in Federated Learning

Gang Yan, Hao Wang, Jian Li

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

[331] arXiv:2109.05635 [pdf, other]

Title: Mixing between the Cross Entropy and the Expectation Loss Terms

Barak Battash, Lior Wolf, Tamir Hazan

Comments: 8 pages, 3 figures

Subjects: Machine Learning (cs.LG)

[332] arXiv:2109.05641 [pdf, other]

Title: Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification?

Sitao Luan, Chenqing Hua, Qincheng Lu, Jiaqi Zhu, Mingde Zhao, Shuyuan Zhang, Xiao-Wen Chang, Doina Precup

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

[333] arXiv:2109.05642 [pdf, other]

Title: On the Impact of Spurious Correlation for Out-of-distribution Detection

Yifei Ming, Hang Yin, Yixuan Li

Journal-ref: AAAI 2022

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

[334] arXiv:2109.05662 [pdf, html, other]

Title: Training Fair Models in Federated Learning without Data Privacy Infringement

Xin Che, Jingdi Hu, Zirui Zhou, Yong Zhang, Lingyang Chu

Comments: Accepted by IEEE International Conference on Big Data (2024)

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

[335] arXiv:2109.05666 [pdf, other]

Title: AMI-FML: A Privacy-Preserving Federated Machine Learning Framework for AMI

Milan Biswal, Abu Saleh Md Tayeen, Satyajayant Misra

Comments: 7 pages

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

[336] arXiv:2109.05691 [pdf, other]

Title: RADARS: Memory Efficient Reinforcement Learning Aided Differentiable Neural Architecture Search

Zheyu Yan, Weiwen Jiang, Xiaobo Sharon Hu, Yiyu Shi

Subjects: Machine Learning (cs.LG)

[337] arXiv:2109.05697 [pdf, other]

Title: Finding Representative Group Fairness Metrics Using Correlation Estimations

Hadis Anahideh, Nazanin Nezami, Abolfazl Asudeh

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

[338] arXiv:2109.05700 [pdf, other]

Title: Exploiting Heterogeneity in Robust Federated Best-Arm Identification

Aritra Mitra, Hamed Hassani, George Pappas

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

[339] arXiv:2109.05701 [pdf, other]

Title: Applications of Recurrent Neural Network for Biometric Authentication & Anomaly Detection

Joseph M. Ackerson, Dave Rushit, Seliya Jim

Subjects: Machine Learning (cs.LG)

[340] arXiv:2109.05710 [pdf, other]

Title: Robust Stability of Neural Network-controlled Nonlinear Systems with Parametric Variability

Soumyabrata Talukder, Ratnesh Kumar

Comments: 12 pages, 6 figures

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

[341] arXiv:2109.05738 [pdf, other]

Title: Region Invariant Normalizing Flows for Mobility Transfer

Vinayak Gupta, Srikanta Bedathur

Comments: CIKM 2021

Subjects: Machine Learning (cs.LG)

[342] arXiv:2109.05748 [pdf, other]

Title: GradTS: A Gradient-Based Automatic Auxiliary Task Selection Method Based on Transformer Networks

Weicheng Ma, Renze Lou, Kai Zhang, Lili Wang, Soroush Vosoughi

Comments: In EMNLP 2021

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

[343] arXiv:2109.05765 [pdf, other]

Title: DHA: End-to-End Joint Optimization of Data Augmentation Policy, Hyper-parameter and Architecture

Kaichen Zhou, Lanqing Hong, Shoukang Hu, Fengwei Zhou, Binxin Ru, Jiashi Feng, Zhenguo Li

Journal-ref: Transactions on Machine Learning Research 2022

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

[344] arXiv:2109.05773 [pdf, other]

Title: Fast Variational AutoEncoder with Inverted Multi-Index for Collaborative Filtering

Jin Chen, Defu Lian, Binbin Jin, Xu Huang, Kai Zheng, Enhong Chen

Comments: 11 pages, WWW 2022

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

[345] arXiv:2109.05800 [pdf, other]

Title: DisCERN:Discovering Counterfactual Explanations using Relevance Features from Neighbourhoods

Nirmalie Wiratunga, Anjana Wijekoon, Ikechukwu Nkisi-Orji, Kyle Martin, Chamath Palihawadana, David Corsar

Comments: Pre-print of the paper accepted at the 33rd IEEE International Conference on Tools with Artificial Intelligence (ICTAI)

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

[346] arXiv:2109.05829 [pdf, other]

Title: Zeroth-order non-convex learning via hierarchical dual averaging

Amélie Héliou, Matthieu Martin, Panayotis Mertikopoulos, Thibaud Rahier

Comments: 40 pages, 14 figures

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

[347] arXiv:2109.05835 [pdf, other]

Title: Process Discovery Using Graph Neural Networks

Dominique Sommers, Vlado Menkovski, Dirk Fahland

Comments: accepted at IEEE International Conference on Process Mining (ICPM) 2021, submitted version

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computation and Language (cs.CL); Formal Languages and Automata Theory (cs.FL)

[348] arXiv:2109.05866 [pdf, other]

Title: On Solving a Stochastic Shortest-Path Markov Decision Process as Probabilistic Inference

Mohamed Baioumy, Bruno Lacerda, Paul Duckworth, Nick Hawes

Comments: Presented at the second International Workshop on Active Inference (IWAI 2021); 11 pages, 2 figures

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

[349] arXiv:2109.05872 [pdf, other]

Title: Byzantine-robust Federated Learning through Collaborative Malicious Gradient Filtering

Jian Xu, Shao-Lun Huang, Linqi Song, Tian Lan

Comments: Published at ICDCS 2022. Adding link to source code

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

[350] arXiv:2109.05880 [pdf, other]

Title: Explaining Deep Learning Representations by Tracing the Training Process

Lukas Pfahler, Katharina Morik

Subjects: Machine Learning (cs.LG)