Machine Learning

Authors and titles for September 2021

[1001] arXiv:2109.00535 (cross-list from eess.AS) [pdf, other]

Title: ASVspoof 2021: Automatic Speaker Verification Spoofing and Countermeasures Challenge Evaluation Plan

Héctor Delgado, Nicholas Evans, Tomi Kinnunen, Kong Aik Lee, Xuechen Liu, Andreas Nautsch, Jose Patino, Md Sahidullah, Massimiliano Todisco, Xin Wang, Junichi Yamagishi

Comments: this http URL

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

[1002] arXiv:2109.00537 (cross-list from eess.AS) [pdf, other]

Title: ASVspoof 2021: accelerating progress in spoofed and deepfake speech detection

Junichi Yamagishi, Xin Wang, Massimiliano Todisco, Md Sahidullah, Jose Patino, Andreas Nautsch, Xuechen Liu, Kong Aik Lee, Tomi Kinnunen, Nicholas Evans, Héctor Delgado

Comments: Accepted to the ASVspoof 2021 Workshop

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

[1003] arXiv:2109.00538 (cross-list from stat.ML) [pdf, other]

Title: Physics-integrated hybrid framework for model form error identification in nonlinear dynamical systems

Shailesh Garg, Souvik Chakraborty, Budhaditya Hazra

Comments: 23 pages

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Data Analysis, Statistics and Probability (physics.data-an)

[1004] arXiv:2109.00539 (cross-list from stat.ME) [pdf, other]

Title: Spatially and Robustly Hybrid Mixture Regression Model for Inference of Spatial Dependence

Wennan Chang, Pengtao Dang, Changlin Wan, Xiaoyu Lu, Yue Fang, Tong Zhao, Yong Zang, Bo Li, Chi Zhang, Sha Cao

Comments: Accepted by ICDM IEEE 2021

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

[1005] arXiv:2109.00540 (cross-list from quant-ph) [pdf, other]

Title: Variational Quantum Reinforcement Learning via Evolutionary Optimization

Samuel Yen-Chi Chen, Chih-Min Huang, Chia-Wei Hsing, Hsi-Sheng Goan, Ying-Jer Kao

Journal-ref: Mach. Learn.: Sci. Technol. 3 015025 (2022)

Subjects: Quantum Physics (quant-ph); Artificial Intelligence (cs.AI); Emerging Technologies (cs.ET); Machine Learning (cs.LG); Neural and Evolutionary Computing (cs.NE)

[1006] arXiv:2109.00541 (cross-list from stat.ML) [pdf, other]

Title: Active Inference and Epistemic Value in Graphical Models

Thijs van de Laar, Magnus Koudahl, Bart van Erp, Bert de Vries

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

[1007] arXiv:2109.00544 (cross-list from cs.CL) [pdf, other]

Title: Towards Improving Adversarial Training of NLP Models

Jin Yong Yoo, Yanjun Qi

Comments: EMNLP Findings 2021

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

[1008] arXiv:2109.00573 (cross-list from cs.CV) [pdf, other]

Title: Pulmonary Disease Classification Using Globally Correlated Maximum Likelihood: an Auxiliary Attention mechanism for Convolutional Neural Networks

Edward Verenich, Tobias Martin, Alvaro Velasquez, Nazar Khan, Faraz Hussain

Comments: 13 pages, 9 figures

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

[1009] arXiv:2109.00574 (cross-list from cs.CV) [pdf, other]

Title: Active label cleaning for improved dataset quality under resource constraints

Melanie Bernhardt, Daniel C. Castro, Ryutaro Tanno, Anton Schwaighofer, Kerem C. Tezcan, Miguel Monteiro, Shruthi Bannur, Matthew Lungren, Aditya Nori, Ben Glocker, Javier Alvarez-Valle, Ozan Oktay

Comments: Accepted for publication in Nature Communications

Journal-ref: Nature Communications 13 (2022) 1161

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

[1010] arXiv:2109.00582 (cross-list from stat.ML) [pdf, other]

Title: Information-theoretic Classification Accuracy: A Criterion that Guides Data-driven Combination of Ambiguous Outcome Labels in Multi-class Classification

Chihao Zhang, Yiling Elaine Chen, Shihua Zhang, Jingyi Jessica Li

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

[1011] arXiv:2109.00590 (cross-list from cs.CL) [pdf, other]

Title: WebQA: Multihop and Multimodal QA

Yingshan Chang, Mridu Narang, Hisami Suzuki, Guihong Cao, Jianfeng Gao, Yonatan Bisk

Comments: CVPR Camera ready

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

[1012] arXiv:2109.00617 (cross-list from eess.SY) [pdf, other]

Title: LinEasyBO: Scalable Bayesian Optimization Approach for Analog Circuit Synthesis via One-Dimensional Subspaces

Shuhan Zhang, Fan Yang, Changhao Yan, Dian Zhou, Xuan Zeng

Comments: 6 pages, 4 figures

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

[1013] arXiv:2109.00619 (cross-list from cs.PL) [pdf, other]

Title: Learning compositional programs with arguments and sampling

Giovanni De Toni, Luca Erculiani, Andrea Passerini

Comments: Accepted at the Tenth International Workshop on Statistical Relational AI (International Joint Conference on Learning & Reasoning 2021)

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

[1014] arXiv:2109.00622 (cross-list from cs.CV) [pdf, other]

Title: An End-to-End learnable Flow Regularized Model for Brain Tumor Segmentation

Yan Shen, Zhanghexuan Ji, Mingchen Gao

Comments: Accepted by 2020 11TH International Conference on Machine Learning in Medical Imaging (MLMI 2020)

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

[1015] arXiv:2109.00630 (cross-list from cs.SD) [pdf, other]

Title: A Novel Multi-Centroid Template Matching Algorithm and Its Application to Cough Detection

Shibo Zhang, Ebrahim Nemati, Tousif Ahmed, Md Mahbubur Rahman, Jilong Kuang, Alex Gao

Subjects: Sound (cs.SD); Human-Computer Interaction (cs.HC); Machine Learning (cs.LG); Audio and Speech Processing (eess.AS)

[1016] arXiv:2109.00637 (cross-list from cs.DS) [pdf, other]

Title: Properly learning decision trees in almost polynomial time

Guy Blanc, Jane Lange, Mingda Qiao, Li-Yang Tan

Comments: 21 pages, to appear in FOCS 2021

Subjects: Data Structures and Algorithms (cs.DS); Computational Complexity (cs.CC); Machine Learning (cs.LG)

[1017] arXiv:2109.00670 (cross-list from eess.IV) [pdf, other]

Title: Variable Augmented Network for Invertible Modality Synthesis-Fusion

Yuhao Wang, Ruirui Liu, Zihao Li, Cailian Yang, Qiegen Liu

Comments: Page 10. arXiv admin note: text overlap with arXiv:2002.05000, arXiv:2103.15061 by other authors

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

[1018] arXiv:2109.00675 (cross-list from cs.CR) [pdf, other]

Title: FLASHE: Additively Symmetric Homomorphic Encryption for Cross-Silo Federated Learning

Zhifeng Jiang, Wei Wang, Yang Liu

Comments: 12 pages, 13 figures

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

[1019] arXiv:2109.00678 (cross-list from cs.CV) [pdf, other]

Title: Regional Adversarial Training for Better Robust Generalization

Chuanbiao Song, Yanbo Fan, Yichen Yang, Baoyuan Wu, Yiming Li, Zhifeng Li, Kun He

Comments: 10 pages, 8 figures, 4 tables

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

[1020] arXiv:2109.00700 (cross-list from math.NA) [pdf, other]

Title: Machine learning moment closure models for the radiative transfer equation III: enforcing hyperbolicity and physical characteristic speeds

Juntao Huang, Yingda Cheng, Andrew J. Christlieb, Luke F. Roberts

Comments: arXiv admin note: text overlap with arXiv:2105.14410

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

[1021] arXiv:2109.00720 (cross-list from cs.CL) [pdf, other]

Title: LightNER: A Lightweight Tuning Paradigm for Low-resource NER via Pluggable Prompting

Xiang Chen, Lei Li, Shumin Deng, Chuanqi Tan, Changliang Xu, Fei Huang, Luo Si, Huajun Chen, Ningyu Zhang

Comments: Accepted by COLING 2022

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

[1022] arXiv:2109.00725 (cross-list from cs.CL) [pdf, other]

Title: Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond

Amir Feder, Katherine A. Keith, Emaad Manzoor, Reid Pryzant, Dhanya Sridhar, Zach Wood-Doughty, Jacob Eisenstein, Justin Grimmer, Roi Reichart, Margaret E. Roberts, Brandon M. Stewart, Victor Veitch, Diyi Yang

Comments: Accepted to Transactions of the Association for Computational Linguistics (TACL)

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

[1023] arXiv:2109.00727 (cross-list from cs.DS) [pdf, other]

Title: Some Inapproximability Results of MAP Inference and Exponentiated Determinantal Point Processes

Naoto Ohsaka

Comments: 28 pages. This is an extended version of our conference paper presented at AISTATS 2021. Has been accepted for Journal of Artificial Intelligence Research

Journal-ref: Journal of Artificial Intelligence Research 73 (2022) 709-735

Subjects: Data Structures and Algorithms (cs.DS); Artificial Intelligence (cs.AI); Machine Learning (cs.LG)

[1024] arXiv:2109.00741 (cross-list from eess.SY) [pdf, other]

Title: End-to-End Demand Response Model Identification and Baseline Estimation with Deep Learning

Yuanyuan Shi, Bolun Xu

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

[1025] arXiv:2109.00757 (cross-list from cs.NI) [pdf, other]

Title: Energy-Efficient Multi-Orchestrator Mobile Edge Learning

Mhd Saria Allahham, Sameh Sorour, Amr Mohamed, Aiman Erbad, Mohsen Guizani

Subjects: Networking and Internet Architecture (cs.NI); Artificial Intelligence (cs.AI); Computational Complexity (cs.CC); Machine Learning (cs.LG)

[1026] arXiv:2109.00768 (cross-list from physics.med-ph) [pdf, other]

Title: Direct PET Image Reconstruction Incorporating Deep Image Prior and a Forward Projection Model

Fumio Hashimoto, Kibo Ote

Comments: This work has been submitted to the IEEE for possible publication

Journal-ref: IEEE Trans. Radiat. Plasma Med. Sci. 6 (2022) 841

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

[1027] arXiv:2109.00802 (cross-list from physics.med-ph) [pdf, other]

Title: Anatomical-Guided Attention Enhances Unsupervised PET Image Denoising Performance

Yuya Onishi, Fumio Hashimoto, Kibo Ote, Hiroyuki Ohba, Ryosuke Ota, Etsuji Yoshikawa, Yasuomi Ouchi

Comments: 30 pages, 12 figures

Journal-ref: Med. Image Anal. 74 (2021) 102226

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

[1028] arXiv:2109.00805 (cross-list from cs.CR) [pdf, other]

Title: Brief View and Analysis to Latest Android Security Issues and Approaches

Ruicong Huang

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

[1029] arXiv:2109.00816 (cross-list from cs.CV) [pdf, other]

Title: Deep Learning-based mitosis detection in breast cancer histologic samples

Michel Halmes, Hippolyte Heuberger, Sylvain Berlemont

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

[1030] arXiv:2109.00829 (cross-list from cs.CV) [pdf, other]

Title: SlowFast Rolling-Unrolling LSTMs for Action Anticipation in Egocentric Videos

Nada Osman, Guglielmo Camporese, Pasquale Coscia, Lamberto Ballan

Comments: Accepted to EPIC@ICCV 2021

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

[1031] arXiv:2109.00846 (cross-list from eess.SP) [pdf, other]

Title: Self-timed Reinforcement Learning using Tsetlin Machine

Adrian Wheeldon, Alex Yakovlev, Rishad Shafik

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

[1032] arXiv:2109.00884 (cross-list from cs.CV) [pdf, other]

Title: Tracking Hand Hygiene Gestures with Leap Motion Controller

Rashmi Bakshi, Jane Courtney, Damon Berry, Graham Gavin

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

[1033] arXiv:2109.00885 (cross-list from cs.CV) [pdf, other]

Title: Unsupervised Learning for Target Tracking and Background Subtraction in Satellite Imagery

Jonathan S. Kent, Charles C. Wamsley, Davin Flateau, Amber Ferguson

Comments: 10 pages

Journal-ref: Conference: SPIE 2021, Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications III. Volume: 11746. Pages: 117460H. Year: 2021. Organization: International Society for Optics and Photonics

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

[1034] arXiv:2109.00886 (cross-list from cs.CV) [pdf, other]

Title: Contrast Limited Adaptive Histogram Equalization (CLAHE) Approach for Enhancement of the Microstructures of Friction Stir Welded Joints

Akshansh Mishra

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

[1035] arXiv:2109.00903 (cross-list from eess.IV) [pdf, other]

Title: Effect of the output activation function on the probabilities and errors in medical image segmentation

Lars Nieradzik, Gerik Scheuermann, Dorothee Saur, Christina Gillmann

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

[1036] arXiv:2109.00911 (cross-list from cs.CV) [pdf, other]

Title: BiHPF: Bilateral High-Pass Filters for Robust Deepfake Detection

Yonghyun Jeong, Doyeon Kim, Seungjai Min, Seongho Joe, Youngjune Gwon, Jongwon Choi

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

[1037] arXiv:2109.00921 (cross-list from eess.AS) [pdf, other]

Title: Exploring Retraining-Free Speech Recognition for Intra-sentential Code-Switching

Zhen Huang, Xiaodan Zhuang, Daben Liu, Xiaoqiang Xiao, Yuchen Zhang, Sabato Marco Siniscalchi

Journal-ref: ICASSP2019 12-17 May 2019

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

[1038] arXiv:2109.00923 (cross-list from econ.GN) [pdf, other]

Title: Auctions and Peer Prediction for Academic Peer Review

Siddarth Srinivasan, Jamie Morgenstern

Subjects: General Economics (econ.GN); Computer Science and Game Theory (cs.GT); Machine Learning (cs.LG)

[1039] arXiv:2109.00928 (cross-list from eess.AS) [pdf, other]

Title: Speaker-Conditioned Hierarchical Modeling for Automated Speech Scoring

Yaman Kumar Singla, Avykat Gupta, Shaurya Bagga, Changyou Chen, Balaji Krishnamurthy, Rajiv Ratn Shah

Comments: Published in CIKM 2021

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

[1040] arXiv:2109.00937 (cross-list from eess.SY) [pdf, other]

Title: A Comparative Study of Algorithms for Intelligent Traffic Signal Control

Hrishit Chaudhuri, Vibha Masti, Vishruth Veerendranath, S Natarajan

Comments: 15 pages, 18 figures, ICMLAS 2021 Conference

Journal-ref: Machine Learning and Autonomous Systems. Springer, Singapore, 2022. 271-287

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

[1041] arXiv:2109.00951 (cross-list from cs.CV) [pdf, other]

Title: GAM: Explainable Visual Similarity and Classification via Gradient Activation Maps

Oren Barkan, Omri Armstrong, Amir Hertz, Avi Caciularu, Ori Katz, Itzik Malkiel, Noam Koenigstein

Comments: CIKM 2021

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

[1042] arXiv:2109.00960 (cross-list from eess.IV) [pdf, other]

Title: Infrared Image Super-Resolution via Heterogeneous Convolutional WGAN

Yongsong Huang, Zetao Jiang, Qingzhong Wang, Qi Jiang, Guoming Pang

Comments: To be published in the 18th Pacific Rim International Conference on Artificial Intelligence (PRICAI-2021)

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

[1043] arXiv:2109.00962 (cross-list from eess.AS) [pdf, other]

Title: You Only Hear Once: A YOLO-like Algorithm for Audio Segmentation and Sound Event Detection

Satvik Venkatesh, David Moffat, Eduardo Reck Miranda

Comments: 19 pages, 4 figures, 8 tables. Added more experimental validation and background information. Published in Applied Sciences

Journal-ref: Appl.Sci. 12 (2022) 3293

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

[1044] arXiv:2109.00983 (cross-list from q-fin.ST) [pdf, other]

Title: Bilinear Input Normalization for Neural Networks in Financial Forecasting

Dat Thanh Tran, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis

Comments: 1 figure, 6 tables

Subjects: Statistical Finance (q-fin.ST); Machine Learning (cs.LG)

[1045] arXiv:2109.00998 (cross-list from cs.IT) [pdf, other]

Title: Waveform Learning for Next-Generation Wireless Communication Systems

Fayçal Ait Aoudia, Jakob Hoydis

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

[1046] arXiv:2109.01044 (cross-list from q-fin.ST) [pdf, other]

Title: Forecasting High-Dimensional Covariance Matrices of Asset Returns with Hybrid GARCH-LSTMs

Lucien Boulet

Comments: 30 pages

Subjects: Statistical Finance (q-fin.ST); Machine Learning (cs.LG)

[1047] arXiv:2109.01051 (cross-list from quant-ph) [pdf, html, other]

Title: Can Error Mitigation Improve Trainability of Noisy Variational Quantum Algorithms?

Samson Wang, Piotr Czarnik, Andrew Arrasmith, M. Cerezo, Lukasz Cincio, Patrick J. Coles

Comments: 24+29 pages, 6+4 figures

Journal-ref: Quantum 8, 1287 (2024)

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

[1048] arXiv:2109.01064 (cross-list from math.PR) [pdf, other]

Title: Lower Bounds on the Total Variation Distance Between Mixtures of Two Gaussians

Sami Davies, Arya Mazumdar, Soumyabrata Pal, Cyrus Rashtchian

Comments: 22 pages, 1 figure; Accepted to ALT 2022

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

[1049] arXiv:2109.01077 (cross-list from math.ST) [pdf, other]

Title: Optimal subgroup selection

Henry W. J. Reeve, Timothy I. Cannings, Richard J. Samworth

Comments: 65 pages, 2 figures, to appear in the Annals of Statistics

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

[1050] arXiv:2109.01080 (cross-list from cs.DS) [pdf, other]

Title: Optimization and Sampling Under Continuous Symmetry: Examples and Lie Theory

Jonathan Leake, Nisheeth K. Vishnoi

Comments: This article is to supplement the talks by the authors at the Bootcamp in the semester on Geometric Methods for Optimization and Sampling at the Simons Institute for the Theory of Computing

Subjects: Data Structures and Algorithms (cs.DS); Machine Learning (cs.LG); Optimization and Control (math.OC); Representation Theory (math.RT); Computation (stat.CO)