Machine Learning

Authors and titles for September 2021

[1801] arXiv:2109.11066 (cross-list from cs.CV) [pdf, other]

Title: A two-step machine learning approach for crop disease detection: an application of GAN and UAV technology

Aaditya Prasad (1), Nikhil Mehta (1), Matthew Horak (2), Wan D. Bae (3) ((1) Tesla STEM High School, (2) Lockheed Martin Corporation, (3) Seattle University)

Comments: 13 pages, 5 figures Preprint of an article submitted for consideration in the International Journal on Artificial Intelligence Tools, 2021, World Scientific Publishing Company, this https URL

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

[1802] arXiv:2109.11067 (cross-list from cs.DC) [pdf, other]

Title: Serving DNN Models with Multi-Instance GPUs: A Case of the Reconfigurable Machine Scheduling Problem

Cheng Tan, Zhichao Li, Jian Zhang, Yu Cao, Sikai Qi, Zherui Liu, Yibo Zhu, Chuanxiong Guo

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

[1803] arXiv:2109.11071 (cross-list from cs.CV) [pdf, other]

Title: Learning to Downsample for Segmentation of Ultra-High Resolution Images

Chen Jin, Ryutaro Tanno, Thomy Mertzanidou, Eleftheria Panagiotaki, Daniel C. Alexander

Comments: 19 pages, 17 figures

Journal-ref: International Conference on Learning Representations, 2022

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

[1804] arXiv:2109.11077 (cross-list from cs.CV) [pdf, other]

Title: A Novel Factor Graph-Based Optimization Technique for Stereo Correspondence Estimation

Hanieh Shabanian, Madhusudhanan Balasubramanian

Comments: 25 pages, 5 figures, 6 tables

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

[1805] arXiv:2109.11078 (cross-list from cs.NE) [pdf, other]

Title: IE-GAN: An Improved Evolutionary Generative Adversarial Network Using a New Fitness Function and a Generic Crossover Operator

Junjie Li, Jingyao Li, Wenbo Zhou, Shuai Lü

Comments: arXiv admin note: text overlap with arXiv:2101.11186

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

[1806] arXiv:2109.11086 (cross-list from cs.SD) [pdf, other]

Title: Scenario Aware Speech Recognition: Advancements for Apollo Fearless Steps & CHiME-4 Corpora

Szu-Jui Chen, Wei Xia, John H.L. Hansen

Comments: Accepted for ASRU 2021

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

[1807] arXiv:2109.11094 (cross-list from cs.RO) [pdf, other]

Title: PredictionNet: Real-Time Joint Probabilistic Traffic Prediction for Planning, Control, and Simulation

Alexey Kamenev, Lirui Wang, Ollin Boer Bohan, Ishwar Kulkarni, Bilal Kartal, Artem Molchanov, Stan Birchfield, David Nistér, Nikolai Smolyanskiy

Comments: 7 pages, 7 figures, accepted to ICRA 2022 conference, for associated video file, see this https URL

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

[1808] arXiv:2109.11135 (cross-list from eess.SP) [pdf, other]

Title: Memory-Efficient Convex Optimization for Self-Dictionary Separable Nonnegative Matrix Factorization: A Frank-Wolfe Approach

Tri Nguyen, Xiao Fu, Ruiyuan Wu

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

[1809] arXiv:2109.11140 (cross-list from cs.SD) [pdf, other]

Title: Joint speaker diarisation and tracking in switching state-space model

Jeremy H. M. Wong, Yifan Gong

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

[1810] arXiv:2109.11154 (cross-list from math.OC) [pdf, other]

Title: Rank Overspecified Robust Matrix Recovery: Subgradient Method and Exact Recovery

Lijun Ding, Liwei Jiang, Yudong Chen, Qing Qu, Zhihui Zhu

Comments: 75 pages, 3 figures

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

[1811] arXiv:2109.11171 (cross-list from cs.CL) [pdf, other]

Title: Zero-Shot Information Extraction as a Unified Text-to-Triple Translation

Chenguang Wang, Xiao Liu, Zui Chen, Haoyun Hong, Jie Tang, Dawn Song

Comments: EMNLP 2021; 14 pages, 5 figures, 9 tables

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

[1812] arXiv:2109.11172 (cross-list from stat.ML) [pdf, other]

Title: Clustering performance analysis using a new correlation-based cluster validity index

Nathakhun Wiroonsri

Comments: 19 pages

Journal-ref: Pattern Recognition, Volume 145, 109910, 2024

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

[1813] arXiv:2109.11178 (cross-list from cs.RO) [pdf, other]

Title: Hierarchies of Planning and Reinforcement Learning for Robot Navigation

Jan Wöhlke, Felix Schmitt, Herke van Hoof

Comments: 7 pages, 5 figures, 2021 IEEE International Conference on Robotics and Automation (ICRA), v2: DOI number added

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

[1814] arXiv:2109.11196 (cross-list from stat.ML) [pdf, other]

Title: Fast and Efficient MMD-based Fair PCA via Optimization over Stiefel Manifold

Junghyun Lee, Gwangsu Kim, Matt Olfat, Mark Hasegawa-Johnson, Chang D. Yoo

Comments: 24 pages, 18 figures. Accepted to the 36th AAAI Conference on Artificial Intelligence (AAAI 2022)

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

[1815] arXiv:2109.11225 (cross-list from eess.AS) [pdf, other]

Title: ChannelAugment: Improving generalization of multi-channel ASR by training with input channel randomization

Marco Gaudesi, Felix Weninger, Dushyant Sharma, Puming Zhan

Comments: To appear in ASRU 2021

Subjects: Audio and Speech Processing (eess.AS); Machine Learning (cs.LG)

[1816] arXiv:2109.11234 (cross-list from cs.RO) [pdf, other]

Title: The Role of Tactile Sensing in Learning and Deploying Grasp Refinement Algorithms

Alexander Koenig, Zixi Liu, Lucas Janson, Robert Howe

Comments: paper currently under review, 7 pages, 10 figures, video: this https URL, code: this https URL

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

[1817] arXiv:2109.11246 (cross-list from cs.DC) [pdf, other]

Title: Coded Computation across Shared Heterogeneous Workers with Communication Delay

Yuxuan Sun, Fan Zhang, Junlin Zhao, Sheng Zhou, Zhisheng Niu, Deniz Gündüz

Comments: Submitted to IEEE for possible publication

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

[1818] arXiv:2109.11249 (cross-list from cs.CR) [pdf, other]

Title: FooBaR: Fault Fooling Backdoor Attack on Neural Network Training

Jakub Breier, Xiaolu Hou, Martín Ochoa, Jesus Solano

Comments: Published in IEEE TDSC

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

[1819] arXiv:2109.11288 (cross-list from cs.RO) [pdf, other]

Title: Enhancing Navigational Safety in Crowded Environments using Semantic-Deep-Reinforcement-Learning-based Navigation

Linh Kästner, Junhui Li, Zhengcheng Shen, Jens Lambrecht

Comments: 7 pages, 5 figures, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

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

[1820] arXiv:2109.11295 (cross-list from cs.CL) [pdf, other]

Title: Dynamic Knowledge Distillation for Pre-trained Language Models

Lei Li, Yankai Lin, Shuhuai Ren, Peng Li, Jie Zhou, Xu Sun

Comments: Main Conference EMNLP 2021, Camera Ready

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

[1821] arXiv:2109.11311 (cross-list from cs.CV) [pdf, other]

Title: Multi-resolution deep learning pipeline for dense large scale point clouds

Thomas Richard, Florent Dupont, Guillaume Lavoue

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

[1822] arXiv:2109.11330 (cross-list from quant-ph) [pdf, other]

Title: Quantum algorithms for group convolution, cross-correlation, and equivariant transformations

Grecia Castelazo, Quynh T. Nguyen, Giacomo De Palma, Dirk Englund, Seth Lloyd, Bobak T. Kiani

Journal-ref: Phys. Rev. A, 106, 032402 (2022)

Subjects: Quantum Physics (quant-ph); Data Structures and Algorithms (cs.DS); Machine Learning (cs.LG); Mathematical Physics (math-ph)

[1823] arXiv:2109.11345 (cross-list from cs.IR) [pdf, other]

Title: Graph Neural Netwrok with Interaction Pattern for Group Recommendation

Bojie Wang, Yuheng Lu

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

[1824] arXiv:2109.11386 (cross-list from cs.DC) [pdf, other]

Title: Energy efficient distributed analytics at the edge of the network for IoT environments

Lorenzo Valerio, Marco Conti, Andrea Passarella

Journal-ref: Pervasive and Mobile Computing, Volume 51, December 2018, Pages 27-42

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

[1825] arXiv:2109.11395 (cross-list from math.OC) [pdf, other]

Title: Generalisations and improvements of New Q-Newton's method Backtracking

Tuyen Trung Truong

Comments: 14 pages. arXiv admin note: text overlap with arXiv:2108.10249

Subjects: Optimization and Control (math.OC); Machine Learning (cs.LG); Algebraic Geometry (math.AG); Complex Variables (math.CV); Dynamical Systems (math.DS)

[1826] arXiv:2109.11405 (cross-list from quant-ph) [pdf, other]

Title: Learning the noise fingerprint of quantum devices

Stefano Martina, Lorenzo Buffoni, Stefano Gherardini, Filippo Caruso

Comments: 20 pages, 3 figures, 5 tables, research article

Journal-ref: Quantum Machine Intelligence 4, 8 (2022)

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

[1827] arXiv:2109.11406 (cross-list from cs.CL) [pdf, other]

Title: Named Entity Recognition and Classification on Historical Documents: A Survey

Maud Ehrmann, Ahmed Hamdi, Elvys Linhares Pontes, Matteo Romanello, Antoine Doucet

Comments: 39 pages

Journal-ref: ACM Computing Surveys 56-2 (2023) 1-47

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

[1828] arXiv:2109.11452 (cross-list from eess.IV) [pdf, other]

Title: Revisit Geophysical Imaging in A New View of Physics-informed Generative Adversarial Learning

Fangshu Yang, Jianwei Ma

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

[1829] arXiv:2109.11480 (cross-list from eess.IV) [pdf, other]

Title: Improving Tuberculosis (TB) Prediction using Synthetically Generated Computed Tomography (CT) Images

Ashia Lewis, Evanjelin Mahmoodi, Yuyue Zhou, Megan Coffee, Elena Sizikova

Comments: Accepted to International Conference on Computer Vision (ICCV) 2021 Computer Vision for Automated Medical Diagnosis (CVAMD) Workshop

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

[1830] arXiv:2109.11495 (cross-list from cs.CR) [pdf, other]

Title: DeepAID: Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applications

Dongqi Han, Zhiliang Wang, Wenqi Chen, Ying Zhong, Su Wang, Han Zhang, Jiahai Yang, Xingang Shi, Xia Yin

Comments: Accepted by 2021 ACM SIGSAC Conference on Computer and Communications Security (CCS '21)

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

[1831] arXiv:2109.11500 (cross-list from cs.CR) [pdf, other]

Title: LSTM Hyper-Parameter Selection for Malware Detection: Interaction Effects and Hierarchical Selection Approach

Mohit Sewak, Sanjay K. Sahay, Hemant Rathore

Journal-ref: 2021 International Joint Conference on Neural Networks (IJCNN), 2021, pp. 1-9

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

[1832] arXiv:2109.11502 (cross-list from math.OC) [pdf, other]

Title: Inequality Constrained Stochastic Nonlinear Optimization via Active-Set Sequential Quadratic Programming

Sen Na, Mihai Anitescu, Mladen Kolar

Comments: 65 pages, 9 figures

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

[1833] arXiv:2109.11519 (cross-list from cs.SI) [pdf, other]

Title: wsGAT: Weighted and Signed Graph Attention Networks for Link Prediction

Marco Grassia, Giuseppe Mangioni

Subjects: Social and Information Networks (cs.SI); Machine Learning (cs.LG); Physics and Society (physics.soc-ph)

[1834] arXiv:2109.11523 (cross-list from cs.CV) [pdf, other]

Title: How much human-like visual experience do current self-supervised learning algorithms need in order to achieve human-level object recognition?

A. Emin Orhan

Comments: v3 adds DINO + robustness scaling experiments

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

[1835] arXiv:2109.11524 (cross-list from cs.CV) [pdf, other]

Title: End-to-End AI-based MRI Reconstruction and Lesion Detection Pipeline for Evaluation of Deep Learning Image Reconstruction

Ruiyang Zhao, Yuxin Zhang, Burhaneddin Yaman, Matthew P. Lungren, Michael S. Hansen

Subjects: Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG); Image and Video Processing (eess.IV); Medical Physics (physics.med-ph)

[1836] arXiv:2109.11526 (cross-list from cs.CV) [pdf, other]

Title: MARMOT: A Deep Learning Framework for Constructing Multimodal Representations for Vision-and-Language Tasks

Patrick Y. Wu, Walter R. Mebane Jr

Comments: 57 pages, 16 figures. Forthcoming in Computational Communication Research

Subjects: Computer Vision and Pattern Recognition (cs.CV); Computation and Language (cs.CL); Computers and Society (cs.CY); Machine Learning (cs.LG); Multimedia (cs.MM)

[1837] arXiv:2109.11541 (cross-list from cs.CL) [pdf, other]

Title: CSAGN: Conversational Structure Aware Graph Network for Conversational Semantic Role Labeling

Han Wu, Kun Xu, Linqi Song

Comments: To appear in EMNLP 2021

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

[1838] arXiv:2109.11542 (cross-list from cs.CR) [pdf, other]

Title: ADVERSARIALuscator: An Adversarial-DRL Based Obfuscator and Metamorphic Malware SwarmGenerator

Mohit Sewak, Sanjay K. Sahay, Hemant Rathore

Journal-ref: 2021 International Joint Conference on Neural Networks (IJCNN), 2021, pp. 1-9

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

[1839] arXiv:2109.11544 (cross-list from cs.RO) [pdf, other]

Title: Lifelong 3D Object Recognition and Grasp Synthesis Using Dual Memory Recurrent Self-Organization Networks

Krishnakumar Santhakumar, Hamidreza Kasaei

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

[1840] arXiv:2109.11547 (cross-list from cs.RO) [pdf, other]

Title: Bayesian Active Learning for Sim-to-Real Robotic Perception

Jianxiang Feng, Jongseok Lee, Maximilian Durner, Rudolph Triebel

Comments: to appear in IROS2022

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

[1841] arXiv:2109.11579 (cross-list from eess.SP) [pdf, other]

Title: Remaining useful life prediction with uncertainty quantification: development of a highly accurate model for rotating machinery

Zhaoyi Xu, Yanjie Guo, Joseph Homer Saleh

Subjects: Signal Processing (eess.SP); Computational Engineering, Finance, and Science (cs.CE); Machine Learning (cs.LG)

[1842] arXiv:2109.11592 (cross-list from cs.CR) [pdf, other]

Title: Evaluating Attacker Risk Behavior in an Internet of Things Ecosystem

Erick Galinkin, John Carter, Spiros Mancoridis

Comments: To appear in Proceedings of the Conference on Decision and Game Theory for Security 2021

Subjects: Cryptography and Security (cs.CR); Computer Science and Game Theory (cs.GT); Machine Learning (cs.LG)

[1843] arXiv:2109.11602 (cross-list from cs.AI) [pdf, other]

Title: Chess AI: Competing Paradigms for Machine Intelligence

Shiva Maharaj, Nick Polson, Alex Turk

Comments: 15 pages, 8 figures

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

[1844] arXiv:2109.11603 (cross-list from cs.CL) [pdf, other]

Title: Document Automation Architectures and Technologies: A Survey

Mohammad Ahmadi Achachlouei, Omkar Patil, Tarun Joshi, Vijayan N. Nair

Comments: 34 pages, 11 figures, 5 tables

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

[1845] arXiv:2109.11637 (cross-list from cs.GT) [pdf, other]

Title: Learning Generative Deception Strategies in Combinatorial Masking Games

Junlin Wu, Charles Kamhoua, Murat Kantarcioglu, Yevgeniy Vorobeychik

Comments: GameSec 2021

Subjects: Computer Science and Game Theory (cs.GT); Artificial Intelligence (cs.AI); Cryptography and Security (cs.CR); Machine Learning (cs.LG)

[1846] arXiv:2109.11641 (cross-list from eess.AS) [pdf, other]

Title: Turn-to-Diarize: Online Speaker Diarization Constrained by Transformer Transducer Speaker Turn Detection

Wei Xia, Han Lu, Quan Wang, Anshuman Tripathi, Yiling Huang, Ignacio Lopez Moreno, Hasim Sak

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

[1847] arXiv:2109.11644 (cross-list from cs.RO) [pdf, other]

Title: A Learned Stereo Depth System for Robotic Manipulation in Homes

Krishna Shankar, Mark Tjersland, Jeremy Ma, Kevin Stone, Max Bajracharya

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

[1848] arXiv:2109.11672 (cross-list from eess.SY) [pdf, other]

Title: A Multi-Agent Deep Reinforcement Learning Coordination Framework for Connected and Automated Vehicles at Merging Roadways

Sai Krishna Sumanth Nakka, Behdad Chalaki, Andreas Malikopoulos

Comments: 6 pages, 6 figures

Journal-ref: 2022 American Control Conference (ACC), (2022), 3297-3302

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

[1849] arXiv:2109.11676 (cross-list from quant-ph) [pdf, other]

Title: Theory of overparametrization in quantum neural networks

Martin Larocca, Nathan Ju, Diego García-Martín, Patrick J. Coles, M. Cerezo

Comments: 14+16 pages, 7+2 figures

Journal-ref: Nat Comput Sci 3, 542-551 (2023)

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

[1850] arXiv:2109.11679 (cross-list from stat.ML) [pdf, other]

Title: Safe Policy Learning through Extrapolation: Application to Pre-trial Risk Assessment

Eli Ben-Michael, D. James Greiner, Kosuke Imai, Zhichao Jiang

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