Machine Learning

Authors and titles for September 2021

[1151] arXiv:2109.02464 (cross-list from cs.IR) [pdf, other]

Title: Practical and Secure Federated Recommendation with Personalized Masks

Liu Yang, Junxue Zhang, Di Chai, Leye Wang, Kun Guo, Kai Chen, Qiang Yang

Comments: 7 pages, International Workshop on Trustworthy Federated Learning in Conjunction with IJCAI 2022 (FL-IJCAI'22)

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

[1152] arXiv:2109.02473 (cross-list from cs.IR) [pdf, html, other]

Title: A Robust Cybersecurity Topic Classification Tool

Elijah Pelofske, Lorie M. Liebrock, Vincent Urias

Comments: Improved formatting

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

[1153] arXiv:2109.02475 (cross-list from cs.IR) [pdf, other]

Title: Recommendation System Simulations: A Discussion of Two Key Challenges

Allison J.B. Chaney

Comments: 6 pages

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

[1154] arXiv:2109.02508 (cross-list from cs.HC) [pdf, other]

Title: Uniform Manifold Approximation and Projection (UMAP) and its Variants: Tutorial and Survey

Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley

Comments: To appear as a part of an upcoming textbook on dimensionality reduction and manifold learning

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

[1155] arXiv:2109.02521 (cross-list from stat.ML) [pdf, other]

Title: Estimation of Bivariate Structural Causal Models by Variational Gaussian Process Regression Under Likelihoods Parametrised by Normalising Flows

Nico Reick, Felix Wiewel, Alexander Bartler, Bin Yang

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

[1156] arXiv:2109.02555 (cross-list from cs.CL) [pdf, other]

Title: GPT-3 Models are Poor Few-Shot Learners in the Biomedical Domain

Milad Moradi, Kathrin Blagec, Florian Haberl, Matthias Samwald

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

[1157] arXiv:2109.02563 (cross-list from cs.CV) [pdf, other]

Title: 3D Human Texture Estimation from a Single Image with Transformers

Xiangyu Xu, Chen Change Loy

Comments: ICCV 2021 Oral, Project: this https URL, Code: this https URL

Journal-ref: IEEE International Conference on Computer Vision, 2021

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

[1158] arXiv:2109.02592 (cross-list from cs.CL) [pdf, other]

Title: Knowledge Graph Enhanced Event Extraction in Financial Documents

Kaihao Guo, Tianpei Jiang, Haipeng Zhang

Journal-ref: 2020 International Conference on Big Data

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

[1159] arXiv:2109.02639 (cross-list from cs.CV) [pdf, other]

Title: On the Out-of-distribution Generalization of Probabilistic Image Modelling

Mingtian Zhang, Andi Zhang, Steven McDonagh

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

[1160] arXiv:2109.02691 (cross-list from cs.CL) [pdf, other]

Title: SS-BERT: Mitigating Identity Terms Bias in Toxic Comment Classification by Utilising the Notion of "Subjectivity" and "Identity Terms"

Zhixue Zhao, Ziqi Zhang, Frank Hopfgartner

Comments: 12 pages, 6 tables, 3 figures

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

[1161] arXiv:2109.02692 (cross-list from cs.SD) [pdf, other]

Title: Machine Learning: Challenges, Limitations, and Compatibility for Audio Restoration Processes

Owen Casey, Rushit Dave, Naeem Seliya, Evelyn R Sowells Boone

Comments: 6 pages, 2 figures

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

[1162] arXiv:2109.02703 (cross-list from math.OC) [pdf, other]

Title: Large-Scale System Identification Using a Randomized SVD

Han Wang, James Anderson

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

[1163] arXiv:2109.02711 (cross-list from cs.CV) [pdf, other]

Title: Graph Attention Layer Evolves Semantic Segmentation for Road Pothole Detection: A Benchmark and Algorithms

Rui Fan, Hengli Wang, Yuan Wang, Ming Liu, Ioannis Pitas

Comments: accepted as a regular paper to IEEE Transactions on Image Processing

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

[1164] arXiv:2109.02723 (cross-list from physics.geo-ph) [pdf, other]

Title: OKSP: A Novel Deep Learning Automatic Event Detection Pipeline for Seismic Monitoringin Costa Rica

Leonardo van der Laat, Ronald J.L. Baldares, Esteban J. Chaves, Esteban Meneses

Subjects: Geophysics (physics.geo-ph); Machine Learning (cs.LG); Signal Processing (eess.SP)

[1165] arXiv:2109.02748 (cross-list from cs.CV) [pdf, other]

Title: Zero-Shot Out-of-Distribution Detection Based on the Pre-trained Model CLIP

Sepideh Esmaeilpour, Bing Liu, Eric Robertson, Lei Shu

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

[1166] arXiv:2109.02749 (cross-list from cs.CV) [pdf, other]

Title: Pano3D: A Holistic Benchmark and a Solid Baseline for $360^o$ Depth Estimation

Georgios Albanis, Nikolaos Zioulis, Petros Drakoulis, Vasileios Gkitsas, Vladimiros Sterzentsenko, Federico Alvarez, Dimitrios Zarpalas, Petros Daras

Comments: Presented at the OmniCV CVPR 2021 workshop. Code, models, data and demo at this https URL

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

[1167] arXiv:2109.02755 (cross-list from eess.SP) [pdf, other]

Title: Motion Artifact Reduction In Photoplethysmography For Reliable Signal Selection

Runyu Mao, Mackenzie Tweardy, Stephan W. Wegerich, Craig J. Goergen, George R. Wodicka, Fengqing Zhu

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

[1168] arXiv:2109.02765 (cross-list from cs.CV) [pdf, other]

Title: Robustness and Generalization via Generative Adversarial Training

Omid Poursaeed, Tianxing Jiang, Harry Yang, Serge Belongie, SerNam Lim

Comments: ICCV 2021. arXiv admin note: substantial text overlap with arXiv:1911.09058

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

[1169] arXiv:2109.02773 (cross-list from cs.SD) [pdf, other]

Title: Complementing Handcrafted Features with Raw Waveform Using a Light-weight Auxiliary Model

Zhongwei Teng, Quchen Fu, Jules White, Maria Powell, Douglas C. Schmidt

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

[1170] arXiv:2109.02774 (cross-list from cs.SD) [pdf, other]

Title: FastAudio: A Learnable Audio Front-End for Spoof Speech Detection

Quchen Fu, Zhongwei Teng, Jules White, Maria Powell, Douglas C. Schmidt

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

[1171] arXiv:2109.02785 (cross-list from q-bio.QM) [pdf, other]

Title: Analysis of MRI Biomarkers for Brain Cancer Survival Prediction

Subhashis Banerjee, Sushmita Mitra, Lawrence O. Hall

Subjects: Quantitative Methods (q-bio.QM); Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG); Image and Video Processing (eess.IV)

[1172] arXiv:2109.02791 (cross-list from cs.RO) [pdf, other]

Title: Safety-Critical Learning of Robot Control with Temporal Logic Specifications

Mingyu Cai, Cristian-Ioan Vasile

Comments: Under Review. arXiv admin note: text overlap with arXiv:2102.12855

Subjects: Robotics (cs.RO); Formal Languages and Automata Theory (cs.FL); Machine Learning (cs.LG)

[1173] arXiv:2109.02801 (cross-list from cs.DL) [pdf, other]

Title: ArGoT: A Glossary of Terms extracted from the arXiv

Luis Berlioz (University of Pittsburgh)

Comments: In Proceedings SCSS 2021, arXiv:2109.02501

Journal-ref: EPTCS 342, 2021, pp. 14-21

Subjects: Digital Libraries (cs.DL); Machine Learning (cs.LG)

[1174] arXiv:2109.02808 (cross-list from cs.CL) [pdf, other]

Title: A Scalable AI Approach for Clinical Trial Cohort Optimization

Xiong Liu, Cheng Shi, Uday Deore, Yingbo Wang, Myah Tran, Iya Khalil, Murthy Devarakonda

Comments: PharML 2021 (Machine Learning for Pharma and Healthcare Applications) at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2021)

Subjects: Computation and Language (cs.CL); Artificial Intelligence (cs.AI); Computers and Society (cs.CY); Machine Learning (cs.LG); Quantitative Methods (q-bio.QM)

[1175] arXiv:2109.02820 (cross-list from cs.CV) [pdf, other]

Title: Few-shot Learning via Dependency Maximization and Instance Discriminant Analysis

Zejiang Hou, Sun-Yuan Kung

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

[1176] arXiv:2109.02832 (cross-list from stat.ML) [pdf, other]

Title: Besov Function Approximation and Binary Classification on Low-Dimensional Manifolds Using Convolutional Residual Networks

Hao Liu, Minshuo Chen, Tuo Zhao, Wenjing Liao

Journal-ref: ICML2021, 6770-6780

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

[1177] arXiv:2109.02839 (cross-list from math.NA) [pdf, other]

Title: Self-adaptive deep neural network: Numerical approximation to functions and PDEs

Zhiqiang Cai, Jingshuang Chen, Min Liu

Comments: Published in Journal of Computational Physics

Subjects: Numerical Analysis (math.NA); Machine Learning (cs.LG)

[1178] arXiv:2109.02859 (cross-list from cs.IR) [pdf, other]

Title: Hyper Meta-Path Contrastive Learning for Multi-Behavior Recommendation

Haoran Yang, Hongxu Chen, Lin Li, Philip S. Yu, Guandong Xu

Comments: Accepted by ICDM 2021 as a regular paper

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

[1179] arXiv:2109.02862 (cross-list from cs.CV) [pdf, other]

Title: Quantum-Classical Hybrid Machine Learning for Image Classification (ICCAD Special Session Paper)

Mahabubul Alam, Satwik Kundu, Rasit Onur Topaloglu, Swaroop Ghosh

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

[1180] arXiv:2109.02868 (cross-list from cs.AI) [pdf, other]

Title: HMSG: Heterogeneous Graph Neural Network based on Metapath Subgraph Learning

Xinjun Cai, Jiaxing Shang, Fei Hao, Dajiang Liu, Linjiang Zheng

Comments: 12 pages, 3 figures, 6 tables

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

[1181] arXiv:2109.02890 (cross-list from econ.GN) [pdf, other]

Title: Using Satellite Imagery and Machine Learning to Estimate the Livelihood Impact of Electricity Access

Nathan Ratledge, Gabe Cadamuro, Brandon de la Cuesta, Matthieu Stigler, Marshall Burke

Subjects: General Economics (econ.GN); Machine Learning (cs.LG); Machine Learning (stat.ML)

[1182] arXiv:2109.02909 (cross-list from eess.SP) [pdf, other]

Title: BioNetExplorer: Architecture-Space Exploration of Bio-Signal Processing Deep Neural Networks for Wearables

Bharath Srinivas Prabakaran, Asima Akhtar, Semeen Rehman, Osman Hasan, Muhammad Shafique

Journal-ref: IEEE Internet of Things Journal (Volume: 8, Issue: 17, Sept.1, 1 2021)

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

[1183] arXiv:2109.02929 (cross-list from cs.CV) [pdf, other]

Title: Brand Label Albedo Extraction of eCommerce Products using Generative Adversarial Network

Suman Sapkota, Manish Juneja, Laurynas Keleras, Pranav Kotwal, Binod Bhattarai

Comments: 5 pages, 5 figures

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

[1184] arXiv:2109.02941 (cross-list from cs.CL) [pdf, other]

Title: Countering Online Hate Speech: An NLP Perspective

Mudit Chaudhary, Chandni Saxena, Helen Meng

Comments: 12 pages

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

[1185] arXiv:2109.02986 (cross-list from stat.ML) [pdf, other]

Title: Instance-dependent Label-noise Learning under a Structural Causal Model

Yu Yao, Tongliang Liu, Mingming Gong, Bo Han, Gang Niu, Kun Zhang

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

[1186] arXiv:2109.03011 (cross-list from cs.NI) [pdf, other]

Title: LEAF: Navigating Concept Drift in Cellular Networks

Shinan Liu, Francesco Bronzino, Paul Schmitt, Arjun Nitin Bhagoji, Nick Feamster, Hector Garcia Crespo, Timothy Coyle, Brian Ward

Journal-ref: Proc. ACM Netw., Vol. 1, No. CoNEXT2, Article 7. Publication date: September 2023

Subjects: Networking and Internet Architecture (cs.NI); Machine Learning (cs.LG); Performance (cs.PF)

[1187] arXiv:2109.03020 (cross-list from cond-mat.mtrl-sci) [pdf, other]

Title: Deep Convolutional Neural Networks Predict Elasticity Tensors and their Bounds in Homogenization

Bernhard Eidel

Subjects: Materials Science (cond-mat.mtrl-sci); Machine Learning (cs.LG)

[1188] arXiv:2109.03091 (cross-list from cs.RO) [pdf, other]

Title: OdoNet: Untethered Speed Aiding for Vehicle Navigation Without Hardware Wheeled Odometer

Hailiang Tang, Xiaoji Niu, Tisheng Zhang, You Li, Jingnan Liu

Comments: 13 pages, 15 figures

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

[1189] arXiv:2109.03115 (cross-list from q-bio.NC) [pdf, other]

Title: Improving Phenotype Prediction using Long-Range Spatio-Temporal Dynamics of Functional Connectivity

Simon Dahan, Logan Z. J. Williams, Daniel Rueckert, Emma C. Robinson

Comments: MLCN 2021

Subjects: Neurons and Cognition (q-bio.NC); Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG); Image and Video Processing (eess.IV)

[1190] arXiv:2109.03137 (cross-list from cs.CL) [pdf, other]

Title: NumGPT: Improving Numeracy Ability of Generative Pre-trained Models

Zhihua Jin, Xin Jiang, Xingbo Wang, Qun Liu, Yong Wang, Xiaozhe Ren, Huamin Qu

Comments: 8 pages, 3 figures

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

[1191] arXiv:2109.03150 (cross-list from cs.IR) [pdf, other]

Title: Recommendation Fairness: From Static to Dynamic

Dell Zhang, Jun Wang

Comments: A position paper for the FAccTRec-2021 workshop. Revised based on the reviewers' feedback. 6 pages

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

[1192] arXiv:2109.03154 (cross-list from cs.IR) [pdf, other]

Title: PEEK: A Large Dataset of Learner Engagement with Educational Videos

Sahan Bulathwela, Maria Perez-Ortiz, Erik Novak, Emine Yilmaz, John Shawe-Taylor

Comments: To be published at ORSUM '21: 4th Workshop on Online Recommender Systems and User Modeling at ACM RecSys 2021

Subjects: Information Retrieval (cs.IR); Computers and Society (cs.CY); Machine Learning (cs.LG)

[1193] arXiv:2109.03155 (cross-list from cs.CL) [pdf, other]

Title: PAUSE: Positive and Annealed Unlabeled Sentence Embedding

Lele Cao, Emil Larsson, Vilhelm von Ehrenheim, Dhiana Deva Cavalcanti Rocha, Anna Martin, Sonja Horn

Comments: Accepted by EMNLP 2021 main conference as long paper (12 pages and 2 figures). For source code, see this https URL

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

[1194] arXiv:2109.03200 (cross-list from cs.AI) [pdf, other]

Title: ExCode-Mixed: Explainable Approaches towards Sentiment Analysis on Code-Mixed Data using BERT models

Aman Priyanshu, Aleti Vardhan, Sudarshan Sivakumar, Supriti Vijay, Nipuna Chhabra

Comments: 3 pages, 1 figure

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

[1195] arXiv:2109.03219 (cross-list from cs.SD) [pdf, other]

Title: Fruit-CoV: An Efficient Vision-based Framework for Speedy Detection and Diagnosis of SARS-CoV-2 Infections Through Recorded Cough Sounds

Long H. Nguyen, Nhat Truong Pham, Van Huong Do, Liu Tai Nguyen, Thanh Tin Nguyen, Van Dung Do, Hai Nguyen, Ngoc Duy Nguyen

Comments: 4 pages

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

[1196] arXiv:2109.03228 (cross-list from cs.CL) [pdf, other]

Title: Beyond Preserved Accuracy: Evaluating Loyalty and Robustness of BERT Compression

Canwen Xu, Wangchunshu Zhou, Tao Ge, Ke Xu, Julian McAuley, Furu Wei

Comments: Accepted to EMNLP 2021 (main conference)

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

[1197] arXiv:2109.03264 (cross-list from cs.CL) [pdf, other]

Title: Text-Free Prosody-Aware Generative Spoken Language Modeling

Eugene Kharitonov, Ann Lee, Adam Polyak, Yossi Adi, Jade Copet, Kushal Lakhotia, Tu-Anh Nguyen, Morgane Rivière, Abdelrahman Mohamed, Emmanuel Dupoux, Wei-Ning Hsu

Comments: ACL 2022

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

[1198] arXiv:2109.03275 (cross-list from eess.AS) [pdf, other]

Title: A New Non-Negative Matrix Co-Factorisation Approach for Noisy Neonatal Chest Sound Separation

Ethan Grooby, Jinyuan He, Davood Fattahi, Lindsay Zhou, Arrabella King, Ashwin Ramanathan, Atul Malhotra, Guy A. Dumont, Faezeh Marzbanrad

Comments: 6 pages, 2 figures. To appear as conference paper at 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 1st-5th November 2021

Journal-ref: 2021 43rd Annual International Conference of the IEEE Engineering in Medicine Biology Society (EMBC)

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

[1199] arXiv:2109.03292 (cross-list from cs.CV) [pdf, other]

Title: Simple Video Generation using Neural ODEs

David Kanaa, Vikram Voleti, Samira Ebrahimi Kahou, Christopher Pal

Comments: 8 pages, 4 figures, NeurIPS 2019 workshop

Journal-ref: NeurIPS 2019 Workshop

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

[1200] arXiv:2109.03309 (cross-list from q-bio.QM) [pdf, other]

Title: CRNNTL: convolutional recurrent neural network and transfer learning for QSAR modelling

Yaqin Li, Yongjin Xu, Yi Yu

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