Machine Learning

Authors and titles for September 2021

[801] arXiv:2109.13069 [pdf, other]

Title: Cluster Attack: Query-based Adversarial Attacks on Graphs with Graph-Dependent Priors

Zhengyi Wang, Zhongkai Hao, Ziqiao Wang, Hang Su, Jun Zhu

Comments: IJCAI 2022 (Long Presentation)

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

[802] arXiv:2109.13076 [pdf, other]

Title: Using neural networks to solve the 2D Poisson equation for electric field computation in plasma fluid simulations

Lionel Cheng, Ekhi Ajuria Illarramendi, Guillaume Bogopolsky, Michael Bauerheim, Benedicte Cuenot

Comments: 26 pages, 23 figures; new performance section

Subjects: Machine Learning (cs.LG); Plasma Physics (physics.plasm-ph)

[803] arXiv:2109.13085 [pdf, other]

Title: Towards the Classification of Error-Related Potentials using Riemannian Geometry

Yichen Tang, Jerry J. Zhang, Paul M. Corballis, Luke E. Hallum

Comments: 4 pages, 3 figures, 1 table, submitted to and accepted by the 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), this is the accepted version

Subjects: Machine Learning (cs.LG); Computer Vision and Pattern Recognition (cs.CV); General Literature (cs.GL); Human-Computer Interaction (cs.HC)

[804] arXiv:2109.13098 [pdf, other]

Title: One-Hot Graph Encoder Embedding

Cencheng Shen, Qizhe Wang, Carey E. Priebe

Comments: 7 pages main + 7 pages appendix

Journal-ref: IEEE Transactions on Pattern Analysis and Machine Intelligence 45(6), 7933 - 7938, 2023

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

[805] arXiv:2109.13122 [pdf, other]

Title: Speeding-up One-vs-All Training for Extreme Classification via Smart Initialization

Erik Schultheis, Rohit Babbar

Comments: 19 pages, 14 figures

Subjects: Machine Learning (cs.LG)

[806] arXiv:2109.13156 [pdf, other]

Title: DAReN: A Collaborative Approach Towards Reasoning And Disentangling

Pritish Sahu, Kalliopi Basioti, Vladimir Pavlovic

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

[807] arXiv:2109.13167 [pdf, other]

Title: Analysis for full face mechanical behaviors through spatial deduction model with real-time monitoring data

Xuyan Tan, Yuhang Wang, Bowen Du, Junchen Ye, Weizhong Chen, Leilei Sun, Liping Li

Subjects: Machine Learning (cs.LG)

[808] arXiv:2109.13192 [pdf, other]

Title: Consistency Training of Multi-exit Architectures for Sensor Data

Aaqib Saeed

Subjects: Machine Learning (cs.LG)

[809] arXiv:2109.13202 [pdf, other]

Title: MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research

Mikayel Samvelyan, Robert Kirk, Vitaly Kurin, Jack Parker-Holder, Minqi Jiang, Eric Hambro, Fabio Petroni, Heinrich Küttler, Edward Grefenstette, Tim Rocktäschel

Comments: NeurIPS 2021: Datasets and Benchmarks Track

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

[810] arXiv:2109.13210 [pdf, other]

Title: SAU: Smooth activation function using convolution with approximate identities

Koushik Biswas, Sandeep Kumar, Shilpak Banerjee, Ashish Kumar Pandey

Comments: arXiv admin note: text overlap with arXiv:2109.04386

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

[811] arXiv:2109.13215 [pdf, other]

Title: Classification and Adversarial examples in an Overparameterized Linear Model: A Signal Processing Perspective

Adhyyan Narang, Vidya Muthukumar, Anant Sahai

Comments: 32 pages, 10 figures

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

[812] arXiv:2109.13233 [pdf, other]

Title: Bayesian Transfer Learning: An Overview of Probabilistic Graphical Models for Transfer Learning

Junyu Xuan, Jie Lu, Guangquan Zhang

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

[813] arXiv:2109.13235 [pdf, other]

Title: Probabilistic modeling of lake surface water temperature using a Bayesian spatio-temporal graph convolutional neural network

Michael Stalder, Firat Ozdemir, Artur Safin, Jonas Sukys, Damien Bouffard, Fernando Perez-Cruz

Comments: 7 pages, 2 figures

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

[814] arXiv:2109.13236 [pdf, other]

Title: FedIPR: Ownership Verification for Federated Deep Neural Network Models

Bowen Li, Lixin Fan, Hanlin Gu, Jie Li, Qiang Yang

Comments: accepted by IEEE T-PAMI

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

[815] arXiv:2109.13237 [pdf, other]

Title: DOODLER: Determining Out-Of-Distribution Likelihood from Encoder Reconstructions

Jonathan S. Kent, Bo Li

Comments: 20 pages, 8 figures, Undergraduate Thesis

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

[816] arXiv:2109.13305 [pdf, other]

Title: ST-MAML: A Stochastic-Task based Method for Task-Heterogeneous Meta-Learning

Zhe Wang, Jake Grigsby, Arshdeep Sekhon, Yanjun Qi

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

[817] arXiv:2109.13306 [pdf, other]

Title: Introducing the viewpoint in the resource description using machine learning

Ouahiba Djama

Comments: 12 pages, 3 figures, CSITY 2021 conference

Journal-ref: David C. Wyld: CSITY, NWCOM, SIGPRO, ASOFT, AIFZ, BDIoT, ITCCMA, CLSB, DTMN, MLNLP - 2021. pp. 01-12, 2021. CS & IT - CSCP 2021

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

[818] arXiv:2109.13337 [pdf, other]

Title: DEBOSH: Deep Bayesian Shape Optimization

Nikita Durasov, Artem Lukoyanov, Jonathan Donier, Pascal Fua

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

[819] arXiv:2109.13359 [pdf, other]

Title: Lyapunov-Net: A Deep Neural Network Architecture for Lyapunov Function Approximation

Nathan Gaby, Fumin Zhang, Xiaojing Ye

Comments: Accepted to 61st IEEE Conference on Decision and Control

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

[820] arXiv:2109.13360 [pdf, other]

Title: IGAN: Inferent and Generative Adversarial Networks

Luc Vignaud (ONERA, The French Aerospace Lab, France)

Comments: 10 pages, 6 figures, accepted for publication in proceedings of NATO Specialist Meeting SET-273 RSM on "Multidimensional Radar Imaging for ATR", Marseille, France, october 2021

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

[821] arXiv:2109.13375 [pdf, other]

Title: Automated Estimation of Construction Equipment Emission using Inertial Sensors and Machine Learning Models

Farid Shahnavaz, Reza Akhavian

Journal-ref: Sustainability. 2022; 14(5):2750

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

[822] arXiv:2109.13388 [pdf, other]

Title: Go-Blend behavior and affect

Matthew Barthet, Antonios Liapis, Georgios N. Yannakakis

Comments: 8 pages

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Human-Computer Interaction (cs.HC)

[823] arXiv:2109.13398 [pdf, other]

Title: Unrolling SGD: Understanding Factors Influencing Machine Unlearning

Anvith Thudi, Gabriel Deza, Varun Chandrasekaran, Nicolas Papernot

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

[824] arXiv:2109.13412 [pdf, other]

Title: Discriminative Attribution from Counterfactuals

Nils Eckstein, Alexander S. Bates, Gregory S.X.E. Jefferis, Jan Funke

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

[825] arXiv:2109.13419 [pdf, other]

Title: The Role of Lookahead and Approximate Policy Evaluation in Reinforcement Learning with Linear Value Function Approximation

Anna Winnicki, Joseph Lubars, Michael Livesay, R. Srikant

Comments: 29 pages

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

[826] arXiv:2109.13441 [pdf, other]

Title: DynG2G: An Efficient Stochastic Graph Embedding Method for Temporal Graphs

Mengjia Xu, Apoorva Vikram Singh, George Em Karniadakis

Comments: 13 pages, 10 figures

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

[827] arXiv:2109.13442 [pdf, other]

Title: An Adaptive Deep Learning Framework for Day-ahead Forecasting of Photovoltaic Power Generation

Xing Luo, Dongxiao Zhang

Comments: 26 pages, 10 figures

Journal-ref: Sustainable Energy Technologies and Assessments, 52, 102326, 2022

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computational Physics (physics.comp-ph); Data Analysis, Statistics and Probability (physics.data-an)

[828] arXiv:2109.13448 [pdf, other]

Title: Lithium-ion Battery State of Health Estimation based on Cycle Synchronization using Dynamic Time Warping

Kate Qi Zhou, Yan Qin, Billy Pik Lik Lau, Chau Yuen, Stefan Adams

Comments: Accepted by IECON 2021

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

[829] arXiv:2109.13449 [pdf, other]

Title: When in Doubt: Improving Classification Performance with Alternating Normalization

Menglin Jia, Austin Reiter, Ser-Nam Lim, Yoav Artzi, Claire Cardie

Comments: Findings of EMNLP 2021

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

[830] arXiv:2109.13459 [pdf, other]

Title: Multiwavelet-based Operator Learning for Differential Equations

Gaurav Gupta, Xiongye Xiao, Paul Bogdan

Comments: 31 pages, 9 figures

Subjects: Machine Learning (cs.LG); Analysis of PDEs (math.AP)

[831] arXiv:2109.13463 [pdf, other]

Title: Deep Reinforcement Learning with Adjustments

Hamed Khorasgani, Haiyan Wang, Chetan Gupta, Susumu Serita

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

[832] arXiv:2109.13466 [pdf, other]

Title: Delve into the Performance Degradation of Differentiable Architecture Search

Jiuling Zhang, Zhiming Ding

Comments: Accepted as a full paper at the CIKM 2021 conference

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

[833] arXiv:2109.13477 [pdf, other]

Title: Exploring More When It Needs in Deep Reinforcement Learning

Youtian Guo, Qi Gao

Comments: 7 pages

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

[834] arXiv:2109.13498 [pdf, other]

Title: Learning to Superoptimize Real-world Programs

Alex Shypula, Pengcheng Yin, Jeremy Lacomis, Claire Le Goues, Edward Schwartz, Graham Neubig

Comments: Best Paper, ICLR 2022 Deep Learning for Code workshop

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Programming Languages (cs.PL); Software Engineering (cs.SE)

[835] arXiv:2109.13510 [pdf, other]

Title: VoxCeleb Enrichment for Age and Gender Recognition

Khaled Hechmi, Trung Ngo Trong, Ville Hautamaki, Tomi Kinnunen

Comments: Accepted for presentation at ASRU 2021; repository: this https URL

Subjects: Machine Learning (cs.LG); Computation and Language (cs.CL); Sound (cs.SD); Audio and Speech Processing (eess.AS)

[836] arXiv:2109.13521 [pdf, other]

Title: A multi-stage semi-supervised improved deep embedded clustering method for bearing fault diagnosis under the situation of insufficient labeled samples

Tongda Sun, Gang Yu

Comments: 24 pages, 15 figures and 59 references

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

[837] arXiv:2109.13542 [pdf, other]

Title: Convergence of Deep Convolutional Neural Networks

Yuesheng Xu, Haizhang Zhang

Comments: arXiv admin note: text overlap with arXiv:2107.12530

Subjects: Machine Learning (cs.LG)

[838] arXiv:2109.13576 [pdf, other]

Title: Multimodality in Meta-Learning: A Comprehensive Survey

Yao Ma, Shilin Zhao, Weixiao Wang, Yaoman Li, Irwin King

Comments: Accepted by Knowledge-Based Systems; 21 pages

Subjects: Machine Learning (cs.LG)

[839] arXiv:2109.13588 [pdf, other]

Title: Making Curiosity Explicit in Vision-based RL

Elie Aljalbout, Maximilian Ulmer, Rudolph Triebel

Comments: ICRA workshop on Curious Robots 2021

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

[840] arXiv:2109.13595 [pdf, html, other]

Title: The Fragility of Optimized Bandit Algorithms

Lin Fan, Peter W. Glynn

Comments: To appear in Operations Research

Subjects: Machine Learning (cs.LG); Statistics Theory (math.ST); Machine Learning (stat.ML)

[841] arXiv:2109.13596 [pdf, other]

Title: Exploratory State Representation Learning

Astrid Merckling, Nicolas Perrin-Gilbert, Alex Coninx, Stéphane Doncieux

Journal-ref: Frontiers in Robotics and AI, 14 February 2022

Subjects: Machine Learning (cs.LG); Robotics (cs.RO)

[842] arXiv:2109.13610 [pdf, other]

Title: Confusion-based rank similarity filters for computationally-efficient machine learning on high dimensional data

Katharine A. Shapcott, Alex D. Bird

Comments: 19 pages, 4 figures, for code see this https URL

Subjects: Machine Learning (cs.LG)

[843] arXiv:2109.13644 [pdf, other]

Title: Clustering to the Fewest Clusters Under Intra-Cluster Dissimilarity Constraints

Jennie Andersen (LIRIS, INSA Lyon), Brice Chardin (LIAS, ISAE-ENSMA), Mohamed Tribak (LIAS)

Journal-ref: Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, Nov 2021, Athens, Greece

Subjects: Machine Learning (cs.LG)

[844] arXiv:2109.13685 [pdf, other]

Title: Machine learning methods for prediction of cancer driver genes: a survey paper

Renan Andrades, Mariana Recamonde-Mendoza

Subjects: Machine Learning (cs.LG); Genomics (q-bio.GN)

[845] arXiv:2109.13696 [pdf, other]

Title: Improving Time Series Classification Algorithms Using Octave-Convolutional Layers

Samuel Harford, Fazle Karim, Houshang Darabi

Comments: 13 pages, 5 figures, 4 tables

Subjects: Machine Learning (cs.LG)

[846] arXiv:2109.13698 [pdf, other]

Title: Anomaly Detection for High-Dimensional Data Using Large Deviations Principle

Sreelekha Guggilam, Varun Chandola, Abani Patra

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

[847] arXiv:2109.13726 [pdf, other]

Title: Exposing Paid Opinion Manipulation Trolls

Todor Mihaylov, Ivan Koychev, Georgi Georgiev, Preslav Nakov

Comments: opinion manipulation trolls, trolls, opinion manipulation, community forums, news media

Journal-ref: RANLP-2015

Subjects: Machine Learning (cs.LG); Computation and Language (cs.CL); Information Retrieval (cs.IR); Social and Information Networks (cs.SI)

[848] arXiv:2109.13732 [pdf, other]

Title: IRMAC: Interpretable Refined Motifs in Binary Classification for Smart Grid Applications

Rui Yuan, S. Ali Pourmousavi, Wen L. Soong, Giang Nguyen, Jon A. R. Liisberg

Comments: 22 pages, 13 figures

Journal-ref: Engineering Applicationsof Artificial Intelligence (2022) 105588

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

[849] arXiv:2109.13754 [pdf, other]

Title: Deep Generative Modeling for Protein Design

Alexey Strokach, Philip M. Kim

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

[850] arXiv:2109.13786 [pdf, other]

Title: Near-Linear Time Algorithm with Near-Logarithmic Regret Per Switch for Mixable/Exp-Concave Losses

Kaan Gokcesu, Hakan Gokcesu

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