Machine Learning

Authors and titles for September 2021

[1451] arXiv:2109.06387 (cross-list from cs.CL) [pdf, other]

Title: Rationales for Sequential Predictions

Keyon Vafa, Yuntian Deng, David M. Blei, Alexander M. Rush

Comments: Appeared in the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021)

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

[1452] arXiv:2109.06402 (cross-list from cs.CL) [pdf, other]

Title: Exploring Personality and Online Social Engagement: An Investigation of MBTI Users on Twitter

Partha Kadambi

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

[1453] arXiv:2109.06404 (cross-list from cs.RO) [pdf, other]

Title: Detecting Multi-Sensor Fusion Errors in Advanced Driver-Assistance Systems

Ziyuan Zhong, Zhisheng Hu, Shengjian Guo, Xinyang Zhang, Zhenyu Zhong, Baishakhi Ray

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

[1454] arXiv:2109.06441 (cross-list from cs.SD) [pdf, other]

Title: Structure-Enhanced Pop Music Generation via Harmony-Aware Learning

Xueyao Zhang, Jinchao Zhang, Yao Qiu, Li Wang, Jie Zhou

Comments: Accepted by ACM MM 2022

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

[1455] arXiv:2109.06448 (cross-list from cs.CV) [pdf, other]

Title: Tesla-Rapture: A Lightweight Gesture Recognition System from mmWave Radar Point Clouds

Dariush Salami, Ramin Hasibi, Sameera Palipana, Petar Popovski, Tom Michoel, Stephan Sigg

Comments: The paper is submitted to the journal of Transactions on Mobile Computing. And it is still under review

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

[1456] arXiv:2109.06449 (cross-list from cs.AI) [pdf, other]

Title: Deep hierarchical reinforcement agents for automated penetration testing

Khuong Tran (1), Ashlesha Akella (1), Maxwell Standen (2), Junae Kim (2), David Bowman (2), Toby Richer (2), Chin-Teng Lin (1) ((1) Institution One, (2) Institution Two)

Comments: Presented at 1st International Workshop on Adaptive Cyber Defense, 2021 (arXiv:2108.08476)

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

[1457] arXiv:2109.06459 (cross-list from cs.SD) [pdf, other]

Title: A Machine-learning Framework for Acoustic Design Assessment in Early Design Stages

Reyhane Abarghooie, Zahra Sadat Zomorodian, Mohammad Tahsildoost, Zohreh Shaghaghian

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

[1458] arXiv:2109.06467 (cross-list from cs.CV) [pdf, other]

Title: Dodging Attack Using Carefully Crafted Natural Makeup

Nitzan Guetta, Asaf Shabtai, Inderjeet Singh, Satoru Momiyama, Yuval Elovici

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

[1459] arXiv:2109.06579 (cross-list from eess.SP) [pdf, other]

Title: Bayesian AirComp with Sign-Alignment Precoding for Wireless Federated Learning

Chanho Park, Seunghoon Lee, Namyoon Lee

Comments: This paper is 8 pages long, and has 4 figures. This paper is the extended version of the conference paper which is accepted in 2021 IEEE GlobeCom

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

[1460] arXiv:2109.06604 (cross-list from cs.CL) [pdf, other]

Title: Non-Parametric Unsupervised Domain Adaptation for Neural Machine Translation

Xin Zheng, Zhirui Zhang, Shujian Huang, Boxing Chen, Jun Xie, Weihua Luo, Jiajun Chen

Comments: Findings of EMNLP 2021

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

[1461] arXiv:2109.06610 (cross-list from cs.IT) [pdf, other]

Title: Statistical limits of dictionary learning: random matrix theory and the spectral replica method

Jean Barbier, Nicolas Macris

Subjects: Information Theory (cs.IT); Disordered Systems and Neural Networks (cond-mat.dis-nn); Machine Learning (cs.LG); Mathematical Physics (math-ph); Probability (math.PR)

[1462] arXiv:2109.06627 (cross-list from cs.CV) [pdf, other]

Title: Scalable Font Reconstruction with Dual Latent Manifolds

Nikita Srivatsan, Si Wu, Jonathan T. Barron, Taylor Berg-Kirkpatrick

Comments: EMNLP 2021

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

[1463] arXiv:2109.06635 (cross-list from eess.IV) [pdf, other]

Title: Deep Convolutional Generative Modeling for Artificial Microstructure Development of Aluminum-Silicon Alloy

Akshansh Mishra, Tarushi Pathak

Journal-ref: Indian Journal of Data Mining (2021)

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

[1464] arXiv:2109.06638 (cross-list from cs.CV) [pdf, other]

Title: Learnable Discrete Wavelet Pooling (LDW-Pooling) For Convolutional Networks

Bor-Shiun Wang, Jun-Wei Hsieh, Ming-Ching Chang, Ping-Yang Chen, Lipeng Ke, Siwei Lyu

Comments: Accepted by BMVC 2021

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

[1465] arXiv:2109.06662 (cross-list from cs.CV) [pdf, other]

Title: Identifying partial mouse brain microscopy images from Allen reference atlas using a contrastively learned semantic space

Justinas Antanavicius, Roberto Leiras, Raghavendra Selvan

Comments: Published in the Proceedings of International Workshop on Biomedical Image Registration (WBIR-2022). Source code available at this https URL. 12 pages, 6 figures

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

[1466] arXiv:2109.06663 (cross-list from cs.CV) [pdf, other]

Title: An Insect-Inspired Randomly, Weighted Neural Network with Random Fourier Features For Neuro-Symbolic Relational Learning

Jinyung Hong, Theodore P. Pavlic

Comments: 17 pages, 5 figures, 2 tables, submitted to NeSy20/21 @ IJCLR. arXiv admin note: text overlap with arXiv:2006.12392

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

[1467] arXiv:2109.06668 (cross-list from cs.AI) [pdf, other]

Title: Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain

Jianye Hao, Tianpei Yang, Hongyao Tang, Chenjia Bai, Jinyi Liu, Zhaopeng Meng, Peng Liu, Zhen Wang

Comments: Accepted by IEEE Transactions on Neural Networks and Learning Systems (TNNLS)

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

[1468] arXiv:2109.06677 (cross-list from q-bio.QM) [pdf, other]

Title: Specified Certainty Classification, with Application to Read Classification for Reference-Guided Metagenomic Assembly

Alan F. Karr, Jason Hauzel, Prahlad Menon, Adam A. Porter, Marcel Schaefer

Subjects: Quantitative Methods (q-bio.QM); Machine Learning (cs.LG)

[1469] arXiv:2109.06689 (cross-list from cs.MA) [pdf, other]

Title: Reactive and Safe Road User Simulations using Neural Barrier Certificates

Yue Meng, Zengyi Qin, Chuchu Fan

Comments: Accepted at IROS 2021

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

[1470] arXiv:2109.06692 (cross-list from cs.CV) [pdf, other]

Title: LRWR: Large-Scale Benchmark for Lip Reading in Russian language

Evgeniy Egorov, Vasily Kostyumov, Mikhail Konyk, Sergey Kolesnikov

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

[1471] arXiv:2109.06699 (cross-list from physics.med-ph) [pdf, other]

Title: An Apparatus for the Simulation of Breathing Disorders: Physically Meaningful Generation of Surrogate Data

Harry J. Davies, Ghena Hammour, Hongjian Xiao, Danilo P. Mandic

Subjects: Medical Physics (physics.med-ph); Artificial Intelligence (cs.AI); Machine Learning (cs.LG); Signal Processing (eess.SP)

[1472] arXiv:2109.06700 (cross-list from q-bio.BM) [pdf, other]

Title: Neural Upscaling from Residue-level Protein Structure Networks to Atomistic Structure

Vy Duong, Elizabeth Diessner, Gianmarc Grazioli, Rachel W. Martin, Carter T. Butts

Subjects: Biomolecules (q-bio.BM); Machine Learning (cs.LG); Data Analysis, Statistics and Probability (physics.data-an); Molecular Networks (q-bio.MN)

[1473] arXiv:2109.06710 (cross-list from cs.IT) [pdf, other]

Title: Fast Federated Edge Learning with Overlapped Communication and Computation and Channel-Aware Fair Client Scheduling

Mehmet Emre Ozfatura, Junlin Zhao, Deniz Gündüz

Comments: Accepted in IEEE SPAWC 2021

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

[1474] arXiv:2109.06713 (cross-list from cs.GT) [pdf, other]

Title: Machine-Learned Prediction Equilibrium for Dynamic Traffic Assignment

Lukas Graf, Tobias Harks, Kostas Kollias, Michael Markl

Comments: 42 pages, 5 figures

Subjects: Computer Science and Game Theory (cs.GT); Machine Learning (cs.LG); Optimization and Control (math.OC)

[1475] arXiv:2109.06728 (cross-list from cs.AI) [pdf, other]

Title: Learning Density Distribution of Reachable States for Autonomous Systems

Yue Meng, Dawei Sun, Zeng Qiu, Md Tawhid Bin Waez, Chuchu Fan

Comments: Accepted at CoRL 2021

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

[1476] arXiv:2109.06732 (cross-list from stat.ML) [pdf, other]

Title: Tuna-AI: tuna biomass estimation with Machine Learning models trained on oceanography and echosounder FAD data

Daniel Precioso, Manuel Navarro-García, Kathryn Gavira-O'Neill, Alberto Torres-Barrán, David Gordo, Victor Gallego-Alcalá, David Gómez-Ullate

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

[1477] arXiv:2109.06736 (cross-list from cs.IR) [pdf, other]

Title: Sequential Modelling with Applications to Music Recommendation, Fact-Checking, and Speed Reading

Christian Hansen

Comments: PhD Thesis, University of Copenhagen, Faculty of Science

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

[1478] arXiv:2109.06737 (cross-list from cs.RO) [pdf, other]

Title: Comparing Reconstruction- and Contrastive-based Models for Visual Task Planning

Constantinos Chamzas, Martina Lippi, Michael C. Welle, Anastasia Varava, Lydia E. Kavraki, Danica Kragic

Comments: for the associated project web page, see this https URL

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

[1479] arXiv:2109.06756 (cross-list from eess.IV) [pdf, other]

Title: ImUnity: a generalizable VAE-GAN solution for multicenter MR image harmonization

Stenzel Cackowski, Emmanuel L. Barbier, Michel Dojat, Thomas Christen

Comments: 15 pages, 7 Figures

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

[1480] arXiv:2109.06780 (cross-list from cs.AI) [pdf, other]

Title: Benchmarking the Spectrum of Agent Capabilities

Danijar Hafner

Comments: Published at ICLR 2022. Website: this https URL

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

[1481] arXiv:2109.06783 (cross-list from cs.RO) [pdf, other]

Title: Learning to Navigate Intersections with Unsupervised Driver Trait Inference

Shuijing Liu, Peixin Chang, Haonan Chen, Neeloy Chakraborty, Katherine Driggs-Campbell

Comments: Published as a conference paper in IEEE International Conference on Robotics and Automation (ICRA), 2022

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

[1482] arXiv:2109.06808 (cross-list from cs.CR) [pdf, other]

Title: What are the attackers doing now? Automating cyber threat intelligence extraction from text on pace with the changing threat landscape: A survey

Md Rayhanur Rahman, Rezvan Mahdavi-Hezaveh, Laurie Williams

Journal-ref: ACM Comput. Surv. 55, 12, Article 241 (December 2023), 36 pages

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

[1483] arXiv:2109.06817 (cross-list from cs.NE) [pdf, other]

Title: Automatic hippocampal surface generation via 3D U-net and active shape modeling with hybrid particle swarm optimization

Pinyuan Zhong, Yue Zhang, Xiaoying Tang

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

[1484] arXiv:2109.06822 (cross-list from cs.CL) [pdf, other]

Title: LM-Critic: Language Models for Unsupervised Grammatical Error Correction

Michihiro Yasunaga, Jure Leskovec, Percy Liang

Comments: EMNLP 2021. Code & data available at this https URL

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

[1485] arXiv:2109.06827 (cross-list from cs.CL) [pdf, other]

Title: Types of Out-of-Distribution Texts and How to Detect Them

Udit Arora, William Huang, He He

Comments: EMNLP 2021

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

[1486] arXiv:2109.06849 (cross-list from stat.ML) [pdf, other]

Title: A geometric perspective on functional outlier detection

Moritz Herrmann, Fabian Scheipl

Comments: 40 pages, 20 figures

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

[1487] arXiv:2109.06856 (cross-list from math.OC) [pdf, other]

Title: Performance of a Markovian neural network versus dynamic programming on a fishing control problem

Mathieu Laurière, Gilles Pagès, Olivier Pironneau

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

[1488] arXiv:2109.06859 (cross-list from cs.CV) [pdf, other]

Title: One-Class Meta-Learning: Towards Generalizable Few-Shot Open-Set Classification

Jedrzej Kozerawski, Matthew Turk

Comments: 21 pages, submitted to BMVC 2021

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

[1489] arXiv:2109.06870 (cross-list from cs.CL) [pdf, other]

Title: Performance-Efficiency Trade-offs in Unsupervised Pre-training for Speech Recognition

Felix Wu, Kwangyoun Kim, Jing Pan, Kyu Han, Kilian Q. Weinberger, Yoav Artzi

Comments: Code available at this https URL

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

[1490] arXiv:2109.06911 (cross-list from stat.ML) [pdf, other]

Title: Learning and Decision-Making with Data: Optimal Formulations and Phase Transitions

Amine Bennouna, Bart P.G. Van Parys

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

[1491] arXiv:2109.06915 (cross-list from math.PR) [pdf, other]

Title: Reconstruction on Trees and Low-Degree Polynomials

Frederic Koehler, Elchanan Mossel

Comments: 28 pages, comments welcome. V2: added new result and more exposition. abstract shortened for arxiv

Subjects: Probability (math.PR); Machine Learning (cs.LG); Statistics Theory (math.ST)

[1492] arXiv:2109.06932 (cross-list from cs.CR) [pdf, other]

Title: A Crawler Architecture for Harvesting the Clear, Social, and Dark Web for IoT-Related Cyber-Threat Intelligence

Paris Koloveas, Thanasis Chantzios, Christos Tryfonopoulos, Spiros Skiadopoulos

Comments: 6 pages, 2 figures

Journal-ref: 2019 IEEE World Congress on Services (SERVICES)

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

[1493] arXiv:2109.06949 (cross-list from stat.ML) [pdf, other]

Title: Targeted Cross-Validation

Jiawei Zhang, Jie Ding, Yuhong Yang

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

[1494] arXiv:2109.06972 (cross-list from eess.IV) [pdf, other]

Title: Combining GEDI and Sentinel-2 for wall-to-wall mapping of tall and short crops

Stefania Di Tommaso (1), Sherrie Wang (1,2 and 3), David B. Lobell (1) ((1) Department of Earth System Science and Center on Food Security and the Environment, Stanford University, (2) Institute for Computational and Mathematical Engineering, Stanford University, (3) Goldman School of Public Policy, University of California, Berkeley)

Subjects: Image and Video Processing (eess.IV); Computational Engineering, Finance, and Science (cs.CE); Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG)

[1495] arXiv:2109.06980 (cross-list from cs.CL) [pdf, other]

Title: Explainable Identification of Dementia from Transcripts using Transformer Networks

Loukas Ilias, Dimitris Askounis

Comments: IEEE Journal of Biomedical and Health Informatics (Accepted)

Journal-ref: IEEE Journal of Biomedical and Health Informatics (Volume: 26, Issue: 8, August 2022)

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

[1496] arXiv:2109.06996 (cross-list from math.OC) [pdf, other]

Title: Scalable Average Consensus with Compressed Communications

Mohammad Taha Toghani, César A. Uribe

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

[1497] arXiv:2109.07005 (cross-list from q-fin.PM) [pdf, other]

Title: WaveCorr: Correlation-savvy Deep Reinforcement Learning for Portfolio Management

Saeed Marzban, Erick Delage, Jonathan Yumeng Li, Jeremie Desgagne-Bouchard, Carl Dussault

Subjects: Portfolio Management (q-fin.PM); Machine Learning (cs.LG)

[1498] arXiv:2109.07011 (cross-list from astro-ph.SR) [pdf, other]

Title: Testing Self-Organized Criticality Across the Main Sequence using Stellar Flares from TESS

Adina D. Feinstein, Darryl Z. Seligman, Maximilian N. Günther, Fred C. Adams

Comments: 6 pages, 3 figures, Accepted to ApJL

Subjects: Solar and Stellar Astrophysics (astro-ph.SR); Earth and Planetary Astrophysics (astro-ph.EP); Machine Learning (cs.LG); Adaptation and Self-Organizing Systems (nlin.AO)

[1499] arXiv:2109.07018 (cross-list from physics.comp-ph) [pdf, other]

Title: Discretization-independent surrogate modeling over complex geometries using hypernetworks and implicit representations

James Duvall, Karthik Duraisamy, Shaowu Pan

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

[1500] arXiv:2109.07023 (cross-list from cs.SI) [pdf, other]

Title: Embedding Node Structural Role Identity Using Stress Majorization

Lili Wang, Chenghan Huang, Weicheng Ma, Ying Lu, Soroush Vosoughi

Comments: In CIKM 2021

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