Machine Learning

Authors and titles for September 2021

[2001] arXiv:2109.13570 (cross-list from cs.RO) [pdf, other]

Title: Adaptive Informative Path Planning Using Deep Reinforcement Learning for UAV-based Active Sensing

Julius Rückin, Liren Jin, Marija Popović

Comments: Accepted in IEEE International Conference on Robotics and Automation 2022

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

[2002] arXiv:2109.13589 (cross-list from cs.SI) [pdf, other]

Title: Learning Ideological Embeddings from Information Cascades

Corrado Monti, Giuseppe Manco, Cigdem Aslay, Francesco Bonchi

Comments: Published in CIKM 2021

Journal-ref: Proceedings of the 30th ACM International Conference on Information and Knowledge Management (CIKM 2021)

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

[2003] arXiv:2109.13602 (cross-list from cs.RO) [pdf, other]

Title: SafetyNet: Safe planning for real-world self-driving vehicles using machine-learned policies

Matt Vitelli, Yan Chang, Yawei Ye, Maciej Wołczyk, Błażej Osiński, Moritz Niendorf, Hugo Grimmett, Qiangui Huang, Ashesh Jain, Peter Ondruska

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

[2004] arXiv:2109.13604 (cross-list from eess.IV) [pdf, other]

Title: Real-Time Glaucoma Detection from Digital Fundus Images using Self-ONNs

Ozer Can Devecioglu, Junaid Malik, Turker Ince, Serkan Kiranyaz, Eray Atalay, Moncef Gabbouj

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

[2005] arXiv:2109.13662 (cross-list from eess.SY) [pdf, other]

Title: DeepPSL: End-to-end perception and reasoning

Sridhar Dasaratha, Sai Akhil Puranam, Karmvir Singh Phogat, Sunil Reddy Tiyyagura, Nigel P. Duffy

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

[2006] arXiv:2109.13672 (cross-list from stat.ML) [pdf, other]

Title: Improved prediction rule ensembling through model-based data generation

Benny Markovitch, Marjolein Fokkema

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

[2007] arXiv:2109.13675 (cross-list from cs.SD) [pdf, other]

Title: FlowVocoder: A small Footprint Neural Vocoder based Normalizing flow for Speech Synthesis

Manh Luong, Viet Anh Tran

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

[2008] arXiv:2109.13705 (cross-list from cs.HC) [pdf, other]

Title: Opportunistic Multi-Modal User Authentication for Health-Tracking IoT Wearables

Alexa Muratyan, William Cheung, Sayanton V. Dibbo, Sudip Vhaduri

Comments: Accepted to publish in the 5th EAI International Conference on Safety and Security in Internet of Things (SaSeIoT 2021). (The previous version of this paper had an incorrect title due to a mistake. Aside from the title, all contents of this manuscript remain the same and match the version accepted at SaSeIoT 2021)

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

[2009] arXiv:2109.13714 (cross-list from eess.AS) [pdf, other]

Title: MSR-NV: Neural Vocoder Using Multiple Sampling Rates

Kentaro Mitsui, Kei Sawada

Comments: 6 pages including supplement, 3 figures, accepted for INTERSPEECH 2022. Audio samples: this https URL

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

[2010] arXiv:2109.13723 (cross-list from cs.CL) [pdf, other]

Title: Analyzing the Use of Character-Level Translation with Sparse and Noisy Datasets

Jörg Tiedemann, Preslav Nakov

Comments: machine translation, character-level, pivoting, cascade models, character alignment, phrase table filtering

Journal-ref: RANLP-2013

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

[2011] arXiv:2109.13724 (cross-list from cs.CL) [pdf, other]

Title: Translating from Morphologically Complex Languages: A Paraphrase-Based Approach

Preslav Nakov, Hwee Tou Ng

Comments: machine translation, morphologically complex languages, paraphrases (word, phrase, and sentence level), infelctional morphology, derivational morphology, Malay, Indonesian

Journal-ref: ACL-2011

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

[2012] arXiv:2109.13725 (cross-list from cs.CL) [pdf, other]

Title: Sentiment Analysis in Twitter for Macedonian

Dame Jovanoski, Veno Pachovski, Preslav Nakov

Comments: sentiment analysis, Twitter, Macedonian

Journal-ref: RANLP-2015

Subjects: Computation and Language (cs.CL); Artificial Intelligence (cs.AI); Information Theory (cs.IT); Machine Learning (cs.LG); Social and Information Networks (cs.SI)

[2013] arXiv:2109.13736 (cross-list from cs.CL) [pdf, other]

Title: Multi-Task Triplet Loss for Named Entity Recognition using Supplementary Text

Ryan Siskind, Shalin Shah

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

[2014] arXiv:2109.13742 (cross-list from cs.CV) [pdf, other]

Title: Adaptive Attribute and Structure Subspace Clustering Network

Zhihao Peng, Hui Liu, Yuheng Jia, Junhui Hou

Comments: This paper has been accepted by IEEE Transactions on Image Processing

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

[2015] arXiv:2109.13745 (cross-list from cs.NE) [pdf, other]

Title: Meta-aprendizado para otimizacao de parametros de redes neurais

Tarsicio Lucas, Teresa Ludermir, Ricardo Prudencio, Carlos Soares

Comments: 12 pages, in Portuguese, 2 figures, 2 tables

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

[2016] arXiv:2109.13748 (cross-list from eess.IV) [pdf, other]

Title: Improving Autoencoder Training Performance for Hyperspectral Unmixing with Network Reinitialisation

Kamil Książek, Przemysław Głomb, Michał Romaszewski, Michał Cholewa, Bartosz Grabowski, Krisztián Búza

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

[2017] arXiv:2109.13751 (cross-list from cs.CV) [pdf, other]

Title: StereoSpike: Depth Learning with a Spiking Neural Network

Ulysse Rançon, Javier Cuadrado-Anibarro, Benoit R. Cottereau, Timothée Masquelier

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

[2018] arXiv:2109.13777 (cross-list from econ.EM) [pdf, other]

Title: Macroeconomic forecasting with LSTM and mixed frequency time series data

Sarun Kamolthip

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

[2019] arXiv:2109.13811 (cross-list from eess.SP) [pdf, other]

Title: An Efficient Epileptic Seizure Detection Technique using Discrete Wavelet Transform and Machine Learning Classifiers

Rabel Guharoy, Nanda Dulal Jana, Suparna Biswas

Comments: Accepted in International Conference on Smart Technologies for Sustainable Development (ICSTSD2021)

Journal-ref: IOP JOURNAL 2022

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

[2020] arXiv:2109.13814 (cross-list from q-bio.NC) [pdf, other]

Title: Text2Brain: Synthesis of Brain Activation Maps from Free-form Text Query

Gia H. Ngo, Minh Nguyen, Nancy F. Chen, Mert R. Sabuncu

Comments: MICCAI 2021

Subjects: Neurons and Cognition (q-bio.NC); Machine Learning (cs.LG)

[2021] arXiv:2109.13818 (cross-list from eess.SP) [pdf, other]

Title: EEG Signal Processing using Wavelets for Accurate Seizure Detection through Cost Sensitive Data Mining

Paul Grant, Md Zahidul Islam

Comments: 28 pages, 8 figures

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

[2022] arXiv:2109.13821 (cross-list from cs.SD) [pdf, other]

Title: Diffusion-Based Voice Conversion with Fast Maximum Likelihood Sampling Scheme

Vadim Popov, Ivan Vovk, Vladimir Gogoryan, Tasnima Sadekova, Mikhail Kudinov, Jiansheng Wei

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

[2023] arXiv:2109.13841 (cross-list from cs.RO) [pdf, other]

Title: Bottom-Up Skill Discovery from Unsegmented Demonstrations for Long-Horizon Robot Manipulation

Yifeng Zhu, Peter Stone, Yuke Zhu

Comments: Accepted to IEEE RA-Letter, 2022

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

[2024] arXiv:2109.13858 (cross-list from cs.CV) [pdf, other]

Title: Domain Generalization for Vision-based Driving Trajectory Generation

Yunkai Wang, Dongkun Zhang, Yuxiang Cui, Zexi Chen, Wei Jing, Junbo Chen, Rong Xiong, Yue Wang

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

[2025] arXiv:2109.13862 (cross-list from eess.IV) [pdf, other]

Title: 3N-GAN: Semi-Supervised Classification of X-Ray Images with a 3-Player Adversarial Framework

Shafin Haque, Ayaan Haque

Comments: 5 pages, 2 figures; authors contributed equally

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

[2026] arXiv:2109.13891 (cross-list from stat.ML) [pdf, other]

Title: Gaussian Processes to speed up MCMC with automatic exploratory-exploitation effect

Alessio Benavoli, Jason Wyse, Arthur White

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

[2027] arXiv:2109.13899 (cross-list from cs.CV) [pdf, other]

Title: A Contrastive Learning Approach to Auroral Identification and Classification

Jeremiah W. Johnson, Swathi Hari, Donald Hampton, Hyunju K. Connor, Amy Keesee

Comments: 6 pages, 5 figures, 1 table

Journal-ref: Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, Dec. 2021

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

[2028] arXiv:2109.13905 (cross-list from q-fin.ST) [pdf, other]

Title: Intra-Day Price Simulation with Generative Adversarial Modelling of the Order Flow

Ye-Sheen Lim, Denise Gorse

Comments: 6 pages, ICMLA 2021

Subjects: Statistical Finance (q-fin.ST); Machine Learning (cs.LG); Trading and Market Microstructure (q-fin.TR)

[2029] arXiv:2109.13913 (cross-list from cs.CV) [pdf, other]

Title: $f$-Cal: Calibrated aleatoric uncertainty estimation from neural networks for robot perception

Dhaivat Bhatt, Kaustubh Mani, Dishank Bansal, Krishna Murthy, Hanju Lee, Liam Paull

Comments: For more details about $f$-Cal, visit this https URL

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

[2030] arXiv:2109.13921 (cross-list from cs.IR) [pdf, other]

Title: Click-through Rate Prediction with Auto-Quantized Contrastive Learning

Yujie Pan, Jiangchao Yao, Bo Han, Kunyang Jia, Ya Zhang, Hongxia Yang

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

[2031] arXiv:2109.13925 (cross-list from cs.CV) [pdf, other]

Title: Fine-tuning Vision Transformers for the Prediction of State Variables in Ising Models

Onur Kara, Arijit Sehanobish, Hector H Corzo

Comments: Accepted at Ml4Physical Sciences Workshop at Neurips 2021

Subjects: Computer Vision and Pattern Recognition (cs.CV); Statistical Mechanics (cond-mat.stat-mech); Machine Learning (cs.LG); Computational Physics (physics.comp-ph)

[2032] arXiv:2109.13964 (cross-list from eess.SP) [pdf, other]

Title: An Accelerated Stochastic Gradient for Canonical Polyadic Decomposition

Ioanna Siaminou, Athanasios P. Liavas

Comments: 5 pages, 4 figures, this work was accepted and presented at EUSIPCO 2021

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

[2033] arXiv:2109.14025 (cross-list from cs.CV) [pdf, other]

Title: Deep Unrolled Recovery in Sparse Biological Imaging

Yair Ben Sahel, John P. Bryan, Brian Cleary, Samouil L. Farhi, Yonina C. Eldar

Subjects: Computer Vision and Pattern Recognition (cs.CV); Information Theory (cs.IT); Machine Learning (cs.LG); Signal Processing (eess.SP)

[2034] arXiv:2109.14026 (cross-list from cs.RO) [pdf, other]

Title: Learning Perceptual Locomotion on Uneven Terrains using Sparse Visual Observations

Fernando Acero, Kai Yuan, Zhibin Li

Comments: Video summary can be found at this https URL

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

[2035] arXiv:2109.14046 (cross-list from stat.ML) [pdf, other]

Title: Federated Learning Algorithms for Generalized Mixed-effects Model (GLMM) on Horizontally Partitioned Data from Distributed Sources

Wentao Li, Jiayi Tong, Md.Monowar Anjum, Noman Mohammed, Yong Chen, Xiaoqian Jiang

Comments: 19 pages, 5 figures, submitted to Journal of Biomedical Informatics

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

[2036] arXiv:2109.14059 (cross-list from cs.CL) [pdf, other]

Title: Generating Summaries for Scientific Paper Review

Ana Sabina Uban, Cornelia Caragea

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

[2037] arXiv:2109.14061 (cross-list from eess.AS) [pdf, other]

Title: The impact of non-target events in synthetic soundscapes for sound event detection

Francesca Ronchini, Romain Serizel, Nicolas Turpault, Samuele Cornell

Journal-ref: Proceedings of the 6th Detection and Classification of Acoustic Scenes and Events 2021 Workshop (DCASE2021)

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

[2038] arXiv:2109.14076 (cross-list from cs.CL) [pdf, other]

Title: RAFT: A Real-World Few-Shot Text Classification Benchmark

Neel Alex, Eli Lifland, Lewis Tunstall, Abhishek Thakur, Pegah Maham, C. Jess Riedel, Emmie Hine, Carolyn Ashurst, Paul Sedille, Alexis Carlier, Michael Noetel, Andreas Stuhlmüller

Comments: Dataset, submission instructions, code and leaderboard available at this https URL

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

[2039] arXiv:2109.14082 (cross-list from cs.RO) [pdf, html, other]

Title: Sample-Efficient Safety Assurances using Conformal Prediction

Rachel Luo, Shengjia Zhao, Jonathan Kuck, Boris Ivanovic, Silvio Savarese, Edward Schmerling, Marco Pavone

Comments: International Journal of Robotics Research, 2023

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

[2040] arXiv:2109.14090 (cross-list from stat.ME) [pdf, other]

Title: Reversible Gromov-Monge Sampler for Simulation-Based Inference

YoonHaeng Hur, Wenxuan Guo, Tengyuan Liang

Comments: 54 pages, 9 figures

Journal-ref: SIAM Journal on Mathematics of Data Science, 6 (2): 283-310, 2024

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

[2041] arXiv:2109.14097 (cross-list from cs.SE) [pdf, other]

Title: How Much Data Analytics is Enough? The ROI of Machine Learning Classification and its Application to Requirements Dependency Classification

Gouri Deshpande, Guenther Ruhe, Chad Saunders

Comments: 15 pages, 13 figures, Journal

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

[2042] arXiv:2109.14133 (cross-list from cs.CV) [pdf, other]

Title: Fine-Grained Zero-Shot Learning with DNA as Side Information

Sarkhan Badirli, Zeynep Akata, George Mohler, Christine Picard, Murat Dundar

Comments: Accepted to NeurIPS 2021

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

[2043] arXiv:2109.14144 (cross-list from cs.CL) [pdf, other]

Title: Improving Dialogue State Tracking by Joint Slot Modeling

Ting-Rui Chiang, Yi-Ting Yeh

Comments: Accepted to the 3rd Workshop on NLP for ConvAI in EMNLP 2021

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

[2044] arXiv:2109.14155 (cross-list from cs.AI) [pdf, other]

Title: Customs Fraud Detection in the Presence of Concept Drift

Tung-Duong Mai, Kien Hoang, Aitolkyn Baigutanova, Gaukhartas Alina, Sundong Kim

Comments: To be published in ICDM IncrLearn Workshop 2021

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

[2045] arXiv:2109.14171 (cross-list from stat.ML) [pdf, other]

Title: Non-stationary Gaussian process discriminant analysis with variable selection for high-dimensional functional data

W Yu, S Wade, H D Bondell, L Azizi

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

[2046] arXiv:2109.14176 (cross-list from math.OC) [pdf, other]

Title: Linear Asymptotic Convergence of Anderson Acceleration: Fixed-Point Analysis

Hans De Sterck, Yunhui He

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

[2047] arXiv:2109.14181 (cross-list from math.NA) [pdf, other]

Title: Anderson Acceleration as a Krylov Method with Application to Asymptotic Convergence Analysis

Hans De Sterck, Yunhui He, Oliver A. Krzysik

Comments: this version resubmitted to journal on Nov 22, 2022

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

[2048] arXiv:2109.14200 (cross-list from eess.AS) [pdf, other]

Title: Can phones, syllables, and words emerge as side-products of cross-situational audiovisual learning? -- A computational investigation

Khazar Khorrami, Okko Räsänen

Comments: Final manuscript published in Language Development Research under CC BY-NC-SA 4.0. Pre-print redistributed through arXiv with permission. Replaces corrupted PsyArXiv pre-print repository at this https URL

Journal-ref: Language Development Research, 1(1), 123-191 (2021)

Subjects: Audio and Speech Processing (eess.AS); Artificial Intelligence (cs.AI); Computation and Language (cs.CL); Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG); Sound (cs.SD)

[2049] arXiv:2109.14205 (cross-list from cs.CV) [pdf, other]

Title: On Brightness Agnostic Adversarial Examples Against Face Recognition Systems

Inderjeet Singh, Satoru Momiyama, Kazuya Kakizaki, Toshinori Araki

Comments: Accepted at BIOSIG 2021 conference

Journal-ref: LNI Volume: BIOSIG 2021, LNI Volume 315, ISBN 978-3-88579-709-8

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

[2050] arXiv:2109.14206 (cross-list from stat.ML) [pdf, other]

Title: Exact Statistical Inference for the Wasserstein Distance by Selective Inference

Vo Nguyen Le Duy, Ichiro Takeuchi

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