Machine Learning

Authors and titles for September 2021

[1401] arXiv:2109.05675 (cross-list from cs.CV) [pdf, other]

Title: Online Unsupervised Learning of Visual Representations and Categories

Mengye Ren, Tyler R. Scott, Michael L. Iuzzolino, Michael C. Mozer, Richard Zemel

Comments: Technical report, 32 pages

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

[1402] arXiv:2109.05677 (cross-list from cs.IR) [pdf, other]

Title: An Adaptive Boosting Technique to Mitigate Popularity Bias in Recommender System

Ajay Gangwar, Shweta Jain

Comments: 7 pages, 8 figures, Accepted in FAccTRec

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

[1403] arXiv:2109.05679 (cross-list from cs.GR) [pdf, other]

Title: Reinforcement Learning for Load-balanced Parallel Particle Tracing

Jiayi Xu, Hanqi Guo, Han-Wei Shen, Mukund Raj, Skylar W. Wurster, Tom Peterka

Comments: Accepted by IEEE Transactions on Visualization and Computer Graphics

Journal-ref: IEEE Transactions on Visualization and Computer Graphics (2022)

Subjects: Graphics (cs.GR); Artificial Intelligence (cs.AI); Distributed, Parallel, and Cluster Computing (cs.DC); Machine Learning (cs.LG)

[1404] arXiv:2109.05685 (cross-list from math.OC) [pdf, other]

Title: Barzilai and Borwein conjugate gradient method equipped with a non-monotone line search technique and its application on non-negative matrix factorization

Sajad Fathi Hafshejani, Daya Gaur, Shahadat Hossain, Robert Benkoczi

Journal-ref: Optimization for Machine Learning Workshop @ NeurIPS 2021

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

[1405] arXiv:2109.05694 (cross-list from cs.CL) [pdf, other]

Title: SCORE-IT: A Machine Learning-based Tool for Automatic Standardization of EEG Reports

Samarth Rawal, Yogatheesan Varatharajah

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

[1406] arXiv:2109.05698 (cross-list from cs.CL) [pdf, other]

Title: Detecting Textual Adversarial Examples through Randomized Substitution and Vote

Xiaosen Wang, Yifeng Xiong, Kun He

Comments: Accepted by UAI 2022, code is avaliable at this https URL

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

[1407] arXiv:2109.05720 (cross-list from cs.CV) [pdf, other]

Title: Low-Shot Validation: Active Importance Sampling for Estimating Classifier Performance on Rare Categories

Fait Poms, Vishnu Sarukkai, Ravi Teja Mullapudi, Nimit S. Sohoni, William R. Mark, Deva Ramanan, Kayvon Fatahalian

Comments: Accepted to ICCV 2021; 12 pages, 12 figures

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

[1408] arXiv:2109.05751 (cross-list from cs.CV) [pdf, other]

Title: Adversarially Trained Object Detector for Unsupervised Domain Adaptation

Kazuma Fujii, Hiroshi Kera, Kazuhiko Kawamoto

Comments: 10 pages, 6 figures. This work has been submitted to the IEEE for possible publication

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

[1409] arXiv:2109.05819 (cross-list from eess.IV) [pdf, other]

Title: Self supervised learning improves dMMR/MSI detection from histology slides across multiple cancers

Charlie Saillard, Olivier Dehaene, Tanguy Marchand, Olivier Moindrot, Aurélie Kamoun, Benoit Schmauch, Simon Jegou

Comments: Accepted for poster and oral presentation at the MICCAI 2021 COMPAY Workshop (submitted the 19th of July 2021)

Journal-ref: Proceedings of the MICCAI Workshop on Computational Pathology, 156, 2021, 191-205

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

[1410] arXiv:2109.05820 (cross-list from cs.CV) [pdf, other]

Title: Improving the Robustness of Adversarial Attacks Using an Affine-Invariant Gradient Estimator

Wenzhao Xiang, Hang Su, Chang Liu, Yandong Guo, Shibao Zheng

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

[1411] arXiv:2109.05830 (cross-list from cs.CV) [pdf, other]

Title: Adversarial Bone Length Attack on Action Recognition

Nariki Tanaka, Hiroshi Kera, Kazuhiko Kawamoto

Comments: 12 pages, 8 figures, accepted to AAAI2022

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

[1412] arXiv:2109.05849 (cross-list from physics.bio-ph) [pdf, other]

Title: Prediction of gene expression time series and structural analysis of gene regulatory networks using recurrent neural networks

Michele Monti, Jonathan Fiorentino, Edoardo Milanetti, Giorgio Gosti, Gian Gaetano Tartaglia

Comments: 17 pages, 6 figures

Subjects: Biological Physics (physics.bio-ph); Machine Learning (cs.LG); Data Analysis, Statistics and Probability (physics.data-an); Molecular Networks (q-bio.MN); Quantitative Methods (q-bio.QM)

[1413] arXiv:2109.05870 (cross-list from cs.RO) [pdf, other]

Title: Towards Stochastic Fault-tolerant Control using Precision Learning and Active Inference

Mohamed Baioumy, Corrado Pezzato, Carlos Hernandez Corbato, Nick Hawes, Riccardo Ferrari

Comments: Presented at the International Workshop on Active Inference (IWAI) 2021; 11 pages, 3 figures

Journal-ref: Machine Learning and Principles and Practice of Knowledge Discovery in Databases. ECML PKDD 2021. Communications in Computer and Information Science, vol 1524. Springer, Cham

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

[1414] arXiv:2109.05873 (cross-list from math.NA) [pdf, other]

Title: Construction of Grid Operators for Multilevel Solvers: a Neural Network Approach

Claudio Tomasi, Rolf Krause

Comments: To appear in Springer Journal: "The 26th International Domain Decomposition Conference (DD26)"

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

[1415] arXiv:2109.05893 (cross-list from cs.IT) [pdf, other]

Title: Learning-Based UE Classification in Millimeter-Wave Cellular Systems With Mobility

Dino Pjanić, Alexandros Sopasakis, Harsh Tataria, Fredrik Tufvesson, Andres Reial

Comments: Accepted for Publication in 2021 IEEE International Workshop on Machine Learning for Signal Processing, 6 Pages, 7 Figures, 1 Table

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

[1416] arXiv:2109.05897 (cross-list from cs.CL) [pdf, other]

Title: Question Answering over Electronic Devices: A New Benchmark Dataset and a Multi-Task Learning based QA Framework

Abhilash Nandy, Soumya Sharma, Shubham Maddhashiya, Kapil Sachdeva, Pawan Goyal, Niloy Ganguly

Comments: EMNLP Findings 2021, Long

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

[1417] arXiv:2109.05922 (cross-list from cs.AI) [pdf, other]

Title: r-GAT: Relational Graph Attention Network for Multi-Relational Graphs

Meiqi Chen, Yuan Zhang, Xiaoyu Kou, Yuntao Li, Yan Zhang

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

[1418] arXiv:2109.05931 (cross-list from cs.CY) [pdf, other]

Title: FaiREO: User Group Fairness for Equality of Opportunity in Course Recommendation

Agoritsa Polyzou, Maria Kalantzi, George Karypis

Comments: 30 pages

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

[1419] arXiv:2109.05940 (cross-list from cs.RO) [pdf, other]

Title: Cross Domain Robot Imitation with Invariant Representation

Zhao-Heng Yin, Lingfeng Sun, Hengbo Ma, Masayoshi Tomizuka, Wu-Jun Li

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

[1420] arXiv:2109.05941 (cross-list from cs.CL) [pdf, other]

Title: Efficient Contrastive Learning via Novel Data Augmentation and Curriculum Learning

Seonghyeon Ye, Jiseon Kim, Alice Oh

Comments: EMNLP 2021

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

[1421] arXiv:2109.06011 (cross-list from q-bio.NC) [pdf, other]

Title: Online Optimization of Stimulation Speed in an Auditory Brain-Computer Interface under Time Constraints

Jan Sosulski, David Hübner, Aaron Klein, Michael Tangermann

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

[1422] arXiv:2109.06022 (cross-list from cs.IR) [pdf, other]

Title: Graph-based Retrieval for Claim Verification over Cross-Document Evidence

Misael Mongiovì, Aldo Gangemi

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

[1423] arXiv:2109.06037 (cross-list from cs.IR) [pdf, other]

Title: Correcting the User Feedback-Loop Bias for Recommendation Systems

Weishen Pan, Sen Cui, Hongyi Wen, Kun Chen, Changshui Zhang, Fei Wang

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

[1424] arXiv:2109.06050 (cross-list from cs.CL) [pdf, other]

Title: Few-Shot Cross-Lingual Stance Detection with Sentiment-Based Pre-Training

Momchil Hardalov, Arnav Arora, Preslav Nakov, Isabelle Augenstein

Comments: Accepted to AAAI 2022 (Preprint version)

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

[1425] arXiv:2109.06077 (cross-list from cs.SI) [pdf, other]

Title: Online Influence Maximization under the Independent Cascade Model with Node-Level Feedback

Zhijie Zhang, Wei Chen, Xiaoming Sun, Jialin Zhang

Comments: The published version of this paper claims there are OIM algorithms with node-level feedback that use standard offline oracles. However, we later found there are severe bugs in our initial algorithms. In this update, we retrieve most of our results by presenting an OIM algoithm that uses pair oracles

Subjects: Social and Information Networks (cs.SI); Data Structures and Algorithms (cs.DS); Machine Learning (cs.LG)

[1426] arXiv:2109.06094 (cross-list from cs.CV) [pdf, other]

Title: Single-stream CNN with Learnable Architecture for Multi-source Remote Sensing Data

Yi Yang, Daoye Zhu, Tengteng Qu, Qiangyu Wang, Fuhu Ren, Chengqi Cheng

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

[1427] arXiv:2109.06095 (cross-list from stat.ML) [pdf, other]

Title: Nonlinear matrix recovery using optimization on the Grassmann manifold

Florentin Goyens, Coralia Cartis, Armin Eftekhari

Comments: Fixed some typos in version 2

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

[1428] arXiv:2109.06096 (cross-list from cs.CL) [pdf, other]

Title: The Grammar-Learning Trajectories of Neural Language Models

Leshem Choshen, Guy Hacohen, Daphna Weinshall, Omri Abend

Comments: ACL camera-ready

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

[1429] arXiv:2109.06103 (cross-list from cs.CL) [pdf, other]

Title: Joint prediction of truecasing and punctuation for conversational speech in low-resource scenarios

Raghavendra Pappagari, Piotr Żelasko, Agnieszka Mikołajczyk, Piotr Pęzik, Najim Dehak

Comments: Accepted for ASRU 2021

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

[1430] arXiv:2109.06126 (cross-list from cs.SE) [pdf, other]

Title: Neural Network Guided Evolutionary Fuzzing for Finding Traffic Violations of Autonomous Vehicles

Ziyuan Zhong, Gail Kaiser, Baishakhi Ray

Subjects: Software Engineering (cs.SE); Machine Learning (cs.LG); Neural and Evolutionary Computing (cs.NE); Robotics (cs.RO)

[1431] arXiv:2109.06133 (cross-list from cs.AI) [pdf, other]

Title: Neuro-Symbolic AI: An Emerging Class of AI Workloads and their Characterization

Zachary Susskind, Bryce Arden, Lizy K. John, Patrick Stockton, Eugene B. John

Comments: 11 pages, 7 figures

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

[1432] arXiv:2109.06148 (cross-list from cs.CV) [pdf, other]

Title: DAFNe: A One-Stage Anchor-Free Approach for Oriented Object Detection

Steven Lang, Fabrizio Ventola, Kristian Kersting

Comments: Main paper: 8 pages, References: 2 pages, Appendix: 7 pages; Main paper: 6 figures, Appendix: 6 figures

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

[1433] arXiv:2109.06160 (cross-list from cs.DB) [pdf, other]

Title: Augmenting Decision Making via Interactive What-If Analysis

Sneha Gathani, Madelon Hulsebos, James Gale, Peter J. Haas, Çağatay Demiralp

Comments: CIDR'22

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

[1434] arXiv:2109.06165 (cross-list from cs.CV) [pdf, other]

Title: CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation

Tongkun Xu, Weihua Chen, Pichao Wang, Fan Wang, Hao Li, Rong Jin

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

[1435] arXiv:2109.06168 (cross-list from cs.CV) [pdf, other]

Title: Generatively Augmented Neural Network Watchdog for Image Classification Networks

Justin M. Bui, Glauco A. Amigo, Robert J. Marks II

Comments: 9 Pages, 22 Figures

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

[1436] arXiv:2109.06171 (cross-list from eess.AS) [pdf, other]

Title: In-filter Computing For Designing Ultra-light Acoustic Pattern Recognizers

Abhishek Ramdas Nair, Shantanu Chakrabartty, Chetan Singh Thakur

Comments: in IEEE Internet of Things Journal

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

[1437] arXiv:2109.06180 (cross-list from cs.CR) [pdf, other]

Title: Deep Generative Models to Extend Active Directory Graphs with Honeypot Users

Ondrej Lukas, Sebastian Garcia

Comments: 2nd International Conference on Deep Learning Theory and Applications - DeLTA2021

Journal-ref: In Proceedings of the 2nd International Conference on Deep Learning Theory and Applications - DeLTA, ISBN 978-989-758-526-5; ISSN 2184-9277, pages 140-147; 2021

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

[1438] arXiv:2109.06253 (cross-list from cs.CL) [pdf, other]

Title: Multi-Sentence Resampling: A Simple Approach to Alleviate Dataset Length Bias and Beam-Search Degradation

Ivan Provilkov, Andrey Malinin

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

[1439] arXiv:2109.06275 (cross-list from cs.AI) [pdf, other]

Title: MindCraft: Theory of Mind Modeling for Situated Dialogue in Collaborative Tasks

Cristian-Paul Bara, Sky CH-Wang, Joyce Chai

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

[1440] arXiv:2109.06294 (cross-list from math.OC) [pdf, other]

Title: On the regularized risk of distributionally robust learning over deep neural networks

Camilo Garcia Trillos, Nicolas Garcia Trillos

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

[1441] arXiv:2109.06308 (cross-list from cs.CL) [pdf, other]

Title: Improving Scheduled Sampling with Elastic Weight Consolidation for Neural Machine Translation

Michalis Korakakis, Andreas Vlachos

Comments: Findings of EMNLP 2022

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

[1442] arXiv:2109.06324 (cross-list from cs.CL) [pdf, other]

Title: A Massively Multilingual Analysis of Cross-linguality in Shared Embedding Space

Alex Jones, William Yang Wang, Kyle Mahowald

Comments: 15 pages, 8 figures, EMNLP 2021

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

[1443] arXiv:2109.06325 (cross-list from cs.RO) [pdf, other]

Title: safe-control-gym: a Unified Benchmark Suite for Safe Learning-based Control and Reinforcement Learning in Robotics

Zhaocong Yuan, Adam W. Hall, Siqi Zhou, Lukas Brunke, Melissa Greeff, Jacopo Panerati, Angela P. Schoellig (University of Toronto Institute for Aerospace Studies, University of Toronto Robotics Institute, Vector Institute for Artificial Intelligence)

Comments: 8 pages, 8 figures

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

[1444] arXiv:2109.06339 (cross-list from cs.DB) [pdf, other]

Title: ML Based Lineage in Databases

Michael Leybovich, Oded Shmueli

Comments: 12 pages

Subjects: Databases (cs.DB); Machine Learning (cs.LG)

[1445] arXiv:2109.06346 (cross-list from eess.IV) [pdf, other]

Title: Physics Driven Domain Specific Transporter Framework with Attention Mechanism for Ultrasound Imaging

Arpan Tripathi, Abhilash Rakkunedeth, Mahesh Raveendranatha Panicker, Jack Zhang, Naveenjyote Boora, Jessica Knight, Jacob Jaremko, Yale Tung Chen, Kiran Vishnu Narayan, Kesavadas C

Comments: 11 pages,18 figures(including supplementary material)

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

[1446] arXiv:2109.06349 (cross-list from cs.CL) [pdf, other]

Title: Few-Shot Intent Detection via Contrastive Pre-Training and Fine-Tuning

Jianguo Zhang, Trung Bui, Seunghyun Yoon, Xiang Chen, Zhiwei Liu, Congying Xia, Quan Hung Tran, Walter Chang, Philip Yu

Comments: Accepted by EMNLP 2021 main conference

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

[1447] arXiv:2109.06352 (cross-list from cs.CL) [pdf, other]

Title: Uncertainty-Aware Machine Translation Evaluation

Taisiya Glushkova, Chrysoula Zerva, Ricardo Rei, André F. T. Martins

Comments: Findings of EMNLP 2021 v2: corrected typos (esp. Tab 5)

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

[1448] arXiv:2109.06363 (cross-list from cs.CV) [pdf, other]

Title: Sensor Adversarial Traits: Analyzing Robustness of 3D Object Detection Sensor Fusion Models

Won Park, Nan Liu, Qi Alfred Chen, Z. Morley Mao

Journal-ref: 2021 IEEE International Conference on Image Processing (ICIP), 2021, pp. 484-488

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

[1449] arXiv:2109.06365 (cross-list from cs.CV) [pdf, other]

Title: From Heatmaps to Structural Explanations of Image Classifiers

Li Fuxin, Zhongang Qi, Saeed Khorram, Vivswan Shitole, Prasad Tadepalli, Minsuk Kahng, Alan Fern

Comments: Submitted to Applied AI Letters

Journal-ref: Applied AI Letters.2021;2:e46

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

[1450] arXiv:2109.06379 (cross-list from cs.CL) [pdf, other]

Title: Compression, Transduction, and Creation: A Unified Framework for Evaluating Natural Language Generation

Mingkai Deng, Bowen Tan, Zhengzhong Liu, Eric P. Xing, Zhiting Hu

Comments: EMNLP 2021, Code available at this https URL

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