Machine Learning

Authors and titles for September 2021

[1601] arXiv:2109.08345 (cross-list from cs.AI) [pdf, other]

Title: Learning Enhanced Optimisation for Routing Problems

Nasrin Sultana, Jeffrey Chan, Tabinda Sarwar, Babak Abbasi, A. K. Qin

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

[1602] arXiv:2109.08359 (cross-list from cs.CL) [pdf, other]

Title: Distilling Linguistic Context for Language Model Compression

Geondo Park, Gyeongman Kim, Eunho Yang

Comments: EMNLP 2021. Code: this https URL

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

[1603] arXiv:2109.08389 (cross-list from cs.NI) [pdf, other]

Title: Coordinated Random Access for Industrial IoT With Correlated Traffic By Reinforcement-Learning

Alberto Rech, Stefano Tomasin

Comments: 6 pages, conference paper (GLOBECOM2021)

Subjects: Networking and Internet Architecture (cs.NI); Machine Learning (cs.LG); Multiagent Systems (cs.MA)

[1604] arXiv:2109.08449 (cross-list from cs.CL) [pdf, other]

Title: General Cross-Architecture Distillation of Pretrained Language Models into Matrix Embeddings

Lukas Galke, Isabelle Cuber, Christoph Meyer, Henrik Ferdinand Nölscher, Angelina Sonderecker, Ansgar Scherp

Comments: 8 pages as accepted for WCCI/IJCNN 2022 + 8 pages supplementary material

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

[1605] arXiv:2109.08495 (cross-list from cs.DS) [pdf, other]

Title: Micro-architectural Analysis of a Learned Index

Mikkel Møller Andersen, Pınar Tözün

Comments: Under submission

Subjects: Data Structures and Algorithms (cs.DS); Databases (cs.DB); Machine Learning (cs.LG)

[1606] arXiv:2109.08501 (cross-list from cs.DB) [pdf, other]

Title: SaCoFa: Semantics-aware Control-flow Anonymization for Process Mining

Stephan A. Fahrenkrog-Petersen, Martin Kabierski, Fabian Rösel, Han van der Aa, Matthias Weidlich

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

[1607] arXiv:2109.08518 (cross-list from stat.ML) [pdf, other]

Title: Knowledge is reward: Learning optimal exploration by predictive reward cashing

Luca Ambrogioni

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

[1608] arXiv:2109.08536 (cross-list from cs.RO) [pdf, other]

Title: Decentralized Global Connectivity Maintenance for Multi-Robot Navigation: A Reinforcement Learning Approach

Minghao Li, Yingrui Jie, Yang Kong, Hui Cheng

Comments: 7 pages, 15 figures

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

[1609] arXiv:2109.08544 (cross-list from cs.AI) [pdf, other]

Title: Conversational Multi-Hop Reasoning with Neural Commonsense Knowledge and Symbolic Logic Rules

Forough Arabshahi, Jennifer Lee, Antoine Bosselut, Yejin Choi, Tom Mitchell

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

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

[1610] arXiv:2109.08548 (cross-list from cs.DC) [pdf, other]

Title: Load Balancing in Compute Clusters with Delayed Feedback

Anam Tahir, Bastian Alt, Amr Rizk, Heinz Koeppl

Comments: Accepted at IEEE Transactions on Computers 2022

Subjects: Distributed, Parallel, and Cluster Computing (cs.DC); Artificial Intelligence (cs.AI); Machine Learning (cs.LG); Performance (cs.PF); Systems and Control (eess.SY)

[1611] arXiv:2109.08549 (cross-list from cs.CY) [pdf, other]

Title: Measuring Fairness Under Unawareness of Sensitive Attributes: A Quantification-Based Approach

Alessandro Fabris, Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani

Comments: Accepted for publication in the Journal of Artificial Intelligence Research

Journal-ref: Journal of Artificial Intelligence Research (JAIR) 76 (2023) 1117-1180

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

[1612] arXiv:2109.08564 (cross-list from cs.CL) [pdf, other]

Title: Slot Filling for Biomedical Information Extraction

Yannis Papanikolaou, Marlene Staib, Justin Grace, Francine Bennett

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

[1613] arXiv:2109.08580 (cross-list from cs.CV) [pdf, other]

Title: Self-Supervised Neural Architecture Search for Imbalanced Datasets

Aleksandr Timofeev, Grigorios G. Chrysos, Volkan Cevher

Comments: Published in ICML 2021 Workshop: Self-Supervised Learning for Reasoning and Perception. Code: this https URL

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

[1614] arXiv:2109.08597 (cross-list from cs.CL) [pdf, other]

Title: Boosting Transformers for Job Expression Extraction and Classification in a Low-Resource Setting

Lukas Lange, Heike Adel, Jannik Strötgen

Comments: Published at IberLEF 2021. Best system of the NER and CLASS tracks of the MEDDOPROF shared task

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

[1615] arXiv:2109.08612 (cross-list from quant-ph) [pdf, other]

Title: Active Learning for the Optimal Design of Multinomial Classification in Physics

Yongcheng Ding, José D. Martín-Guerrero, Yujing Song, Rafael Magdalena-Benedito, Xi Chen

Comments: 13 pages and 11 figures

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

[1616] arXiv:2109.08618 (cross-list from eess.IV) [pdf, other]

Title: A review and experimental evaluation of deep learning methods for MRI reconstruction

Arghya Pal, Yogesh Rathi

Comments: Accepted for publication at the Journal of Machine Learning for Biomedical Imaging 2022:2022:001. pp 1-58 Submitted 09/2021; Published 02/2022

Journal-ref: Journal of Machine Learning for Biomedical Imaging 2022

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

[1617] arXiv:2109.08666 (cross-list from eess.SP) [pdf, other]

Title: Learning Sparse Graph with Minimax Concave Penalty under Gaussian Markov Random Fields

Tatsuya Koyakumaru, Masahiro Yukawa, Eduardo Pavez, Antonio Ortega

Comments: 11 pages, 7 figures

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

[1618] arXiv:2109.08677 (cross-list from cs.CV) [pdf, other]

Title: Realistic PointGoal Navigation via Auxiliary Losses and Information Bottleneck

Guillermo Grande, Dhruv Batra, Erik Wijmans

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

[1619] arXiv:2109.08684 (cross-list from eess.IV) [pdf, other]

Title: Asymmetric 3D Context Fusion for Universal Lesion Detection

Jiancheng Yang, Yi He, Kaiming Kuang, Zudi Lin, Hanspeter Pfister, Bingbing Ni

Comments: MICCAI 2021. The code and model are available at this https URL

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

[1620] arXiv:2109.08685 (cross-list from eess.IV) [pdf, other]

Title: Self-supervised learning methods and applications in medical imaging analysis: A survey

Saeed Shurrab, Rehab Duwairi

Journal-ref: PeerJ Computer Science 8:e1045

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

[1621] arXiv:2109.08688 (cross-list from eess.IV) [pdf, other]

Title: Segmentation of Brain MRI using an Altruistic Harris Hawks' Optimization algorithm

Rajarshi Bandyopadhyay, Rohit Kundu, Diego Oliva, Ram Sarkar

Journal-ref: Knowledge-Based Systems,2021,107468, ISSN 0950-7051

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

[1622] arXiv:2109.08705 (cross-list from cs.CL) [pdf, other]

Title: Relating Neural Text Degeneration to Exposure Bias

Ting-Rui Chiang, Yun-Nung Chen

Comments: Accepted by BlackBoxNLP at EMNLP 2021

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

[1623] arXiv:2109.08711 (cross-list from eess.SP) [pdf, other]

Title: Experimental Evaluation of Computational Complexity for Different Neural Network Equalizers in Optical Communications

Pedro J. Freire, Yevhenii Osadchuk, Antonio Napoli, Bernhard Spinnler, Wolfgang Schairer, Nelson Costa, Jaroslaw E. Prilepsky, Sergei K. Turitsyn

Comments: ORAL presentation at the Asia Communications and Photonics Conference (ACP 2021)

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

[1624] arXiv:2109.08712 (cross-list from cs.CL) [pdf, other]

Title: Back-translation for Large-Scale Multilingual Machine Translation

Baohao Liao, Shahram Khadivi, Sanjika Hewavitharana

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

[1625] arXiv:2109.08718 (cross-list from q-bio.MN) [pdf, other]

Title: Proteome-informed machine learning studies of cocaine addiction

Kaifu Gao, Dong Chen, Alfred J Robison, Guo-Wei Wei

Subjects: Molecular Networks (q-bio.MN); Machine Learning (cs.LG)

[1626] arXiv:2109.08735 (cross-list from astro-ph.EP) [pdf, other]

Title: Analyzing the Habitable Zones of Circumbinary Planets Using Machine Learning

Zhihui Kong, Jonathan H. Jiang, Remo Burn, Kristen A. Fahy, Zonghong Zhu

Comments: arXiv admin note: text overlap with arXiv:2101.02316

Journal-ref: The Astrophysical Journal, 929:187 (8pp), 2022 April 20

Subjects: Earth and Planetary Astrophysics (astro-ph.EP); Instrumentation and Methods for Astrophysics (astro-ph.IM); Machine Learning (cs.LG)

[1627] arXiv:2109.08744 (cross-list from eess.AS) [pdf, other]

Title: Dual-Encoder Architecture with Encoder Selection for Joint Close-Talk and Far-Talk Speech Recognition

Felix Weninger, Marco Gaudesi, Ralf Leibold, Roberto Gemello, Puming Zhan

Comments: To appear in ASRU 2021

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

[1628] arXiv:2109.08791 (cross-list from eess.IV) [pdf, other]

Title: Small Lesion Segmentation in Brain MRIs with Subpixel Embedding

Alex Wong, Allison Chen, Yangchao Wu, Safa Cicek, Alexandre Tiard, Byung-Woo Hong, Stefano Soatto

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

[1629] arXiv:2109.08800 (cross-list from stat.AP) [pdf, other]

Title: A Robust and Efficient Multi-Scale Seasonal-Trend Decomposition

Linxiao Yang, Qingsong Wen, Bo Yang, Liang Sun

Comments: Accepted by 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2021)

Journal-ref: IEEE ICASSP 2021

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

[1630] arXiv:2109.08805 (cross-list from cs.CL) [pdf, other]

Title: BERT-Beta: A Proactive Probabilistic Approach to Text Moderation

Fei Tan, Yifan Hu, Kevin Yen, Changwei Hu

Comments: 9 pages, EMNLP'21

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

[1631] arXiv:2109.08815 (cross-list from cs.RO) [pdf, other]

Title: Probabilistic Inference of Simulation Parameters via Parallel Differentiable Simulation

Eric Heiden, Christopher E. Denniston, David Millard, Fabio Ramos, Gaurav S. Sukhatme

Comments: Extended version. To appear at ICRA 2022

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

[1632] arXiv:2109.08817 (cross-list from cs.RO) [pdf, other]

Title: Learning to Regrasp by Learning to Place

Shuo Cheng, Kaichun Mo, Lin Shao

Comments: Accepted to Conference on Robot Learning (CoRL) 2021

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

[1633] arXiv:2109.08820 (cross-list from cs.CL) [pdf, other]

Title: Towards Zero and Few-shot Knowledge-seeking Turn Detection in Task-orientated Dialogue Systems

Di Jin, Shuyang Gao, Seokhwan Kim, Yang Liu, Dilek Hakkani-Tur

Comments: To appear at NLP4ConvAI workshop of EMNLP 2021

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

[1634] arXiv:2109.08839 (cross-list from cs.SD) [pdf, other]

Title: SpeechNAS: Towards Better Trade-off between Latency and Accuracy for Large-Scale Speaker Verification

Wentao Zhu, Tianlong Kong, Shun Lu, Jixiang Li, Dawei Zhang, Feng Deng, Xiaorui Wang, Sen Yang, Ji Liu

Comments: 8 pages, 3 figures, 3 tables. Accepted by ASRU2021

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

[1635] arXiv:2109.08844 (cross-list from stat.ML) [pdf, other]

Title: Near-Minimax Optimal Estimation With Shallow ReLU Neural Networks

Rahul Parhi, Robert D. Nowak

Comments: IEEE Transactions on Information Theory (in press)

Journal-ref: IEEE Transactions on Information Theory, vol. 69, no. 2, pp. 1125-1140, Feb. 2023

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

[1636] arXiv:2109.08850 (cross-list from stat.ML) [pdf, other]

Title: Coordinate Descent for MCP/SCAD Penalized Least Squares Converges Linearly

Yuling Jiao, Dingwei Li, Min Liu, Xiliang Lu

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

[1637] arXiv:2109.08853 (cross-list from eess.IV) [pdf, other]

Title: A survey on deep learning approaches for breast cancer diagnosis

Timothy Kwong, Samaneh Mazaheri

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

[1638] arXiv:2109.08857 (cross-list from cs.NE) [pdf, other]

Title: Modern Evolution Strategies for Creativity: Fitting Concrete Images and Abstract Concepts

Yingtao Tian, David Ha

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

[1639] arXiv:2109.08914 (cross-list from cs.CL) [pdf, other]

Title: Text Detoxification using Large Pre-trained Neural Models

David Dale, Anton Voronov, Daryna Dementieva, Varvara Logacheva, Olga Kozlova, Nikita Semenov, Alexander Panchenko

Comments: Accepted to the EMNLP 2021 conference

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

[1640] arXiv:2109.08916 (cross-list from eess.IV) [pdf, other]

Title: Underwater Image Enhancement Using Convolutional Neural Network

Anushka Yadav, Mayank Upadhyay, Ghanapriya Singh

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

[1641] arXiv:2109.08917 (cross-list from eess.SP) [pdf, other]

Title: KNN Learning Techniques for Proportional Myocontrol in Prosthetics

Tim Sziburis, Markus Nowak, Davide Brunelli

Subjects: Signal Processing (eess.SP); Human-Computer Interaction (cs.HC); Machine Learning (cs.LG); Systems and Control (eess.SY)

[1642] arXiv:2109.08945 (cross-list from q-bio.NC) [pdf, other]

Title: Removing Noise from Extracellular Neural Recordings Using Fully Convolutional Denoising Autoencoders

Christodoulos Kechris, Alexandros Delitzas, Vasileios Matsoukas, Panagiotis C. Petrantonakis

Comments: Accepted version to be published in the 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2021)

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

[1643] arXiv:2109.08955 (cross-list from cs.CV) [pdf, other]

Title: Manifold-preserved GANs

Haozhe Liu, Hanbang Liang, Xianxu Hou, Haoqian Wu, Feng Liu, Linlin Shen

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

[1644] arXiv:2109.08956 (cross-list from physics.plasm-ph) [pdf, other]

Title: Scenario adaptive disruption prediction study for next generation burning-plasma tokamaks

J. Zhu, C. Rea, R.S. Granetz, E. S. Marmar, K. J. Montes, R. Sweeney, R.A. Tinguely, D. L. Chen, B. Shen, B. J. Xiao, D. Humphreys, J. Barr, O. Meneghini

Subjects: Plasma Physics (physics.plasm-ph); Machine Learning (cs.LG)

[1645] arXiv:2109.08957 (cross-list from cs.AR) [pdf, other]

Title: AI Accelerator Survey and Trends

Albert Reuther, Peter Michaleas, Michael Jones, Vijay Gadepally, Siddharth Samsi, Jeremy Kepner

Comments: 9 pages, 2 figures, IEEE High Performance Extreme Computing Conference 2021

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

[1646] arXiv:2109.08968 (cross-list from cs.RO) [pdf, other]

Title: Visual Representation Learning for Preference-Aware Path Planning

Kavan Singh Sikand, Sadegh Rabiee, Adam Uccello, Xuesu Xiao, Garrett Warnell, Joydeep Biswas

Comments: 7 pages, 6 figures

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

[1647] arXiv:2109.08983 (cross-list from cs.AR) [pdf, other]

Title: G-CoS: GNN-Accelerator Co-Search Towards Both Better Accuracy and Efficiency

Yongan Zhang, Haoran You, Yonggan Fu, Tong Geng, Ang Li, Yingyan Lin

Comments: Accepted at ICCAD 2021

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

[1648] arXiv:2109.09010 (cross-list from cs.CL) [pdf, other]

Title: Augmenting semantic lexicons using word embeddings and transfer learning

Thayer Alshaabi, Colin M. Van Oort, Mikaela Irene Fudolig, Michael V. Arnold, Christopher M. Danforth, Peter Sheridan Dodds

Comments: 17 pages, 8 figures

Journal-ref: Front. Artif. Intell. 4:783778 (2022)

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

[1649] arXiv:2109.09014 (cross-list from cs.CY) [pdf, other]

Title: A Machine Learning Pipeline to Examine Political Bias with Congressional Speeches

Prasad hajare, Sadia Kamal, Siddharth Krishnan, Arunkumar Bagavathi

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

[1650] arXiv:2109.09023 (cross-list from cs.CR) [pdf, other]

Title: Anti-Neuron Watermarking: Protecting Personal Data Against Unauthorized Neural Networks

Zihang Zou, Boqing Gong, Liqiang Wang

Comments: Accepted to ECCV 2022

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