Machine Learning

Authors and titles for September 2021

[1301] arXiv:2109.04408 (cross-list from cs.CL) [pdf, other]

Title: Learning with Different Amounts of Annotation: From Zero to Many Labels

Shujian Zhang, Chengyue Gong, Eunsol Choi

Comments: EMNLP 2021; Our code is publicly available at this https URL

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

[1302] arXiv:2109.04433 (cross-list from stat.ML) [pdf, other]

Title: Extreme Bandits using Robust Statistics

Sujay Bhatt, Ping Li, Gennady Samorodnitsky

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

[1303] arXiv:2109.04443 (cross-list from cs.CL) [pdf, other]

Title: HintedBT: Augmenting Back-Translation with Quality and Transliteration Hints

Sahana Ramnath, Melvin Johnson, Abhirut Gupta, Aravindan Raghuveer

Comments: 17 pages including references and appendix. Accepted at EMNLP 2021

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

[1304] arXiv:2109.04447 (cross-list from stat.ML) [pdf, other]

Title: Modeling Massive Spatial Datasets Using a Conjugate Bayesian Linear Regression Framework

Sudipto Banerjee

Journal-ref: Spatial Statistics, Volume 37, 2020, 100417, ISSN 2211-6753

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

[1305] arXiv:2109.04456 (cross-list from cs.CV) [pdf, other]

Title: NEAT: Neural Attention Fields for End-to-End Autonomous Driving

Kashyap Chitta, Aditya Prakash, Andreas Geiger

Comments: ICCV 2021

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

[1306] arXiv:2109.04460 (cross-list from q-bio.BM) [pdf, other]

Title: Protein Folding Neural Networks Are Not Robust

Sumit Kumar Jha, Arvind Ramanathan, Rickard Ewetz, Alvaro Velasquez, Susmit Jha

Comments: 8 pages, 5 figures

Subjects: Biomolecules (q-bio.BM); Machine Learning (cs.LG)

[1307] arXiv:2109.04468 (cross-list from cs.CV) [pdf, other]

Title: Leveraging Local Domains for Image-to-Image Translation

Anthony Dell'Eva, Fabio Pizzati, Massimo Bertozzi, Raoul de Charette

Comments: VISAPP 2022 Best Paper Award

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

[1308] arXiv:2109.04470 (cross-list from cs.HC) [pdf, other]

Title: Truth Discovery in Sequence Labels from Crowds

Nasim Sabetpour, Adithya Kulkarni, Sihong Xie, Qi Li

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

[1309] arXiv:2109.04522 (cross-list from math.OC) [pdf, other]

Title: Asynchronous Iterations in Optimization: New Sequence Results and Sharper Algorithmic Guarantees

Hamid Reza Feyzmahdavian, Mikael Johansson

Comments: 62 pages, 1 Figure

Subjects: Optimization and Control (math.OC); Distributed, Parallel, and Cluster Computing (cs.DC); Machine Learning (cs.LG); Systems and Control (eess.SY)

[1310] arXiv:2109.04526 (cross-list from stat.ML) [pdf, other]

Title: Ergodic Limits, Relaxations, and Geometric Properties of Random Walk Node Embeddings

Christy Lin, Daniel Sussman, Prakash Ishwar

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

[1311] arXiv:2109.04530 (cross-list from cs.IT) [pdf, other]

Title: Notes on Generalizing the Maximum Entropy Principle to Uncertain Data

Kenneth Bogert

Comments: 11 pages

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

[1312] arXiv:2109.04535 (cross-list from cs.CL) [pdf, other]

Title: Identifying Morality Frames in Political Tweets using Relational Learning

Shamik Roy, Maria Leonor Pacheco, Dan Goldwasser

Comments: Accepted to EMNLP 2021

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

[1313] arXiv:2109.04552 (cross-list from cs.CL) [pdf, other]

Title: SPECTRA: Sparse Structured Text Rationalization

Nuno Miguel Guerreiro, André F. T. Martins

Comments: Accepted to EMNLP 2021 (main conference)

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

[1314] arXiv:2109.04553 (cross-list from cs.CV) [pdf, other]

Title: Is Attention Better Than Matrix Decomposition?

Zhengyang Geng, Meng-Hao Guo, Hongxu Chen, Xia Li, Ke Wei, Zhouchen Lin

Comments: ICLR 2021

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

[1315] arXiv:2109.04561 (cross-list from stat.ML) [pdf, other]

Title: Supervising the Decoder of Variational Autoencoders to Improve Scientific Utility

Liyun Tu, Austin Talbot, Neil Gallagher, David Carlson

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

[1316] arXiv:2109.04584 (cross-list from cs.IR) [pdf, other]

Title: Trust your neighbors: A comprehensive survey of neighborhood-based methods for recommender systems

Athanasios N. Nikolakopoulos, Xia Ning, Christian Desrosiers, George Karypis

Comments: 50 pages; Chapter in the Recommender Systems Handbook, 3rd Edition (to appear)

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

[1317] arXiv:2109.04593 (cross-list from cs.CL) [pdf, other]

Title: A Large-Scale Study of Machine Translation in the Turkic Languages

Jamshidbek Mirzakhalov, Anoop Babu, Duygu Ataman, Sherzod Kariev, Francis Tyers, Otabek Abduraufov, Mammad Hajili, Sardana Ivanova, Abror Khaytbaev, Antonio Laverghetta Jr., Behzodbek Moydinboyev, Esra Onal, Shaxnoza Pulatova, Ahsan Wahab, Orhan Firat, Sriram Chellappan

Comments: 9 pages, 1 figure, 8 tables. Main proceedings of EMNLP 2021

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

[1318] arXiv:2109.04595 (cross-list from cs.DS) [pdf, other]

Title: C-MinHash: Practically Reducing Two Permutations to Just One

Xiaoyun Li, Ping Li

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

[1319] arXiv:2109.04611 (cross-list from cs.IR) [pdf, other]

Title: Query-driven Segment Selection for Ranking Long Documents

Youngwoo Kim, Razieh Rahimi, Hamed Bonab, James Allan

Comments: 5 pages, 0 figure

Journal-ref: In Proceedings of the 30th ACM International Conference on Information and Knowledge Management (CIKM '21), November 1-5, 2021, Virtual Event, QLD, Australia. ACM, New York, NY, USA, 5 page

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

[1320] arXiv:2109.04615 (cross-list from stat.ML) [pdf, other]

Title: Differential Privacy in Personalized Pricing with Nonparametric Demand Models

Xi Chen, Sentao Miao, Yining Wang

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

[1321] arXiv:2109.04645 (cross-list from cs.CL) [pdf, other]

Title: CINS: Comprehensive Instruction for Few-shot Learning in Task-oriented Dialog Systems

Fei Mi, Yitong Li, Yasheng Wang, Xin Jiang, Qun Liu

Comments: Accepted at AAAI2022

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

[1322] arXiv:2109.04672 (cross-list from cs.CL) [pdf, other]

Title: Investigating Numeracy Learning Ability of a Text-to-Text Transfer Model

Kuntal Kumar Pal, Chitta Baral

Comments: 7 pages, 10 figures, 5 tables, Accepted in the Findings of EMNLP 2021

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

[1323] arXiv:2109.04689 (cross-list from cs.CL) [pdf, other]

Title: Generating Self-Contained and Summary-Centric Question Answer Pairs via Differentiable Reward Imitation Learning

Li Zhou, Kevin Small, Yong Zhang, Sandeep Atluri

Comments: To appear in Proceedings of EMNLP 2021

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

[1324] arXiv:2109.04699 (cross-list from cs.CL) [pdf, other]

Title: EfficientCLIP: Efficient Cross-Modal Pre-training by Ensemble Confident Learning and Language Modeling

Jue Wang, Haofan Wang, Jincan Deng, Weijia Wu, Debing Zhang

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

[1325] arXiv:2109.04707 (cross-list from cs.CL) [pdf, other]

Title: Knowledge-Aware Meta-learning for Low-Resource Text Classification

Huaxiu Yao, Yingxin Wu, Maruan Al-Shedivat, Eric P. Xing

Comments: Accepted by EMNLP 2021

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

[1326] arXiv:2109.04738 (cross-list from cs.SE) [pdf, other]

Title: On the validity of pre-trained transformers for natural language processing in the software engineering domain

Julian von der Mosel, Alexander Trautsch, Steffen Herbold

Comments: Review status: submitted

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

[1327] arXiv:2109.04744 (cross-list from cs.AI) [pdf, other]

Title: Automated Machine Learning, Bounded Rationality, and Rational Metareasoning

Eyke Hüllermeier, Felix Mohr, Alexander Tornede, Marcel Wever

Comments: Accepted at ECMLPKDD WORKSHOP ON AUTOMATING DATA SCIENCE (ADS2021) - this https URL

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

[1328] arXiv:2109.04762 (cross-list from cs.CL) [pdf, other]

Title: Dual-State Capsule Networks for Text Classification

Piyumal Demotte, Surangika Ranathunga

Comments: 9 pages

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

[1329] arXiv:2109.04783 (cross-list from cs.SD) [pdf, other]

Title: Self-Attention Channel Combinator Frontend for End-to-End Multichannel Far-field Speech Recognition

Rong Gong, Carl Quillen, Dushyant Sharma, Andrew Goderre, José Laínez, Ljubomir Milanović

Comments: In Proceedings of Interspeech 2021

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

[1330] arXiv:2109.04809 (cross-list from cs.DS) [pdf, other]

Title: Efficient Locally Optimal Number Set Partitioning for Scheduling, Allocation and Fair Selection

Kaan Gokcesu, Hakan Gokcesu

Subjects: Data Structures and Algorithms (cs.DS); Machine Learning (cs.LG); Combinatorics (math.CO)

[1331] arXiv:2109.04821 (cross-list from cs.RO) [pdf, other]

Title: KNODE-MPC: A Knowledge-based Data-driven Predictive Control Framework for Aerial Robots

Kong Yao Chee, Tom Z. Jiahao, M. Ani Hsieh

Comments: 8pg. \c{opyright} 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works

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

[1332] arXiv:2109.04825 (cross-list from cs.CL) [pdf, other]

Title: Artificial Text Detection via Examining the Topology of Attention Maps

Laida Kushnareva, Daniil Cherniavskii, Vladislav Mikhailov, Ekaterina Artemova, Serguei Barannikov, Alexander Bernstein, Irina Piontkovskaya, Dmitri Piontkovski, Evgeny Burnaev

Comments: Accepted to EMNLP 2021

Journal-ref: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, pages 635-649

Subjects: Computation and Language (cs.CL); Machine Learning (cs.LG); Algebraic Topology (math.AT)

[1333] arXiv:2109.04835 (cross-list from cs.SI) [pdf, other]

Title: FR-Detect: A Multi-Modal Framework for Early Fake News Detection on Social Media Using Publishers Features

Ali Jarrahi, Leila Safari

Subjects: Social and Information Networks (cs.SI); Computation and Language (cs.CL); Machine Learning (cs.LG)

[1334] arXiv:2109.04847 (cross-list from cs.CL) [pdf, other]

Title: Active learning for reducing labeling effort in text classification tasks

Pieter Floris Jacobs, Gideon Maillette de Buy Wenniger, Marco Wiering, Lambert Schomaker

Comments: Accepted as a conference paper at the joint 33rd Benelux Conference on Artificial Intelligence and the 30th Belgian Dutch Conference on Machine Learning (BNAIC/BENELEARN 2021). This camera-ready version submitted to BNAIC/BENELEARN, adds several improvements including a more thorough discussion of related work plus an extended discussion section. 28 pages including references and appendices

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

[1335] arXiv:2109.04868 (cross-list from cs.RO) [pdf, other]

Title: Heading Estimation Using Ultra-Wideband Received Signal Strength and Gaussian Processes

Daniil Lisus, Charles Champagne Cossette, Mohammed Shalaby, James Richard Forbes

Comments: 6 pages, 9 figures, accepted to Robotics and Automation Letters, presented at IROS 2021

Journal-ref: in IEEE Robotics and Automation Letters, vol. 6, no. 4, pp. 8387-8393, Oct. 2021

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

[1336] arXiv:2109.04875 (cross-list from stat.ML) [pdf, other]

Title: Neural Networks for Latent Budget Analysis of Compositional Data

Zhenwei Yang, Ayoub Bagheri, P.G.M van der Heijden

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

[1337] arXiv:2109.04876 (cross-list from cs.CL) [pdf, other]

Title: Integrating Approaches to Word Representation

Yuval Pinter

Comments: Adapted dissertation introduction

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

[1338] arXiv:2109.04912 (cross-list from cs.CL) [pdf, other]

Title: ReasonBERT: Pre-trained to Reason with Distant Supervision

Xiang Deng, Yu Su, Alyssa Lees, You Wu, Cong Yu, Huan Sun

Comments: Accepted to EMNLP'2021. Our code and pre-trained models are available at this https URL

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

[1339] arXiv:2109.04916 (cross-list from physics.space-ph) [pdf, other]

Title: Unsupervised classification of simulated magnetospheric regions

Maria Elena Innocenti, Jorge Amaya, Joachim Raeder, Romain Dupuis, Banafsheh Ferdousi, Giovanni Lapenta

Subjects: Space Physics (physics.space-ph); Instrumentation and Methods for Astrophysics (astro-ph.IM); Machine Learning (cs.LG); Geophysics (physics.geo-ph); Plasma Physics (physics.plasm-ph)

[1340] arXiv:2109.04941 (cross-list from stat.ML) [pdf, other]

Title: Best-Arm Identification in Correlated Multi-Armed Bandits

Samarth Gupta, Gauri Joshi, Osman Yağan

Journal-ref: IEEE Journal on Selected Areas in Information Theory (Volume: 2, Issue: 2, June 2021)

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

[1341] arXiv:2109.04953 (cross-list from cs.CL) [pdf, other]

Title: Does Pretraining for Summarization Require Knowledge Transfer?

Kundan Krishna, Jeffrey Bigham, Zachary C. Lipton

Comments: Camera-ready for Findings of EMNLP 2021

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

[1342] arXiv:2109.04975 (cross-list from cs.NE) [pdf, other]

Title: Citizen centric optimal electric vehicle charging stations locations in a full city: case of Malaga

Christian Cintrano, Jamal Toutouh, Enrique Alba

Journal-ref: Published in the XIX Conference of the Spanish Association for Artificial Intelligence (CAEPIA), 2021

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

[1343] arXiv:2109.04986 (cross-list from cs.IT) [pdf, other]

Title: Multi-agent deep reinforcement learning (MADRL) meets multi-user MIMO systems

Heunchul Lee, Jaeseong Jeong

Comments: Accepted for presentation at the IEEE GLOBECOM 2021, SAC, Machine Learning for Communications, December 7 - 11, in Madrid, Spain. @2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media

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

[1344] arXiv:2109.04990 (cross-list from cs.CV) [pdf, other]

Title: Unsupervised Change Detection in Hyperspectral Images using Feature Fusion Deep Convolutional Autoencoders

Debasrita Chakraborty, Ashish Ghosh

Comments: 19 pages

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

[1345] arXiv:2109.04994 (cross-list from cs.CL) [pdf, other]

Title: Topic-Aware Contrastive Learning for Abstractive Dialogue Summarization

Junpeng Liu, Yanyan Zou, Hainan Zhang, Hongshen Chen, Zhuoye Ding, Caixia Yuan, Xiaojie Wang

Comments: EMNLP 2021

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

[1346] arXiv:2109.04997 (cross-list from cs.CL) [pdf, other]

Title: Box Embeddings: An open-source library for representation learning using geometric structures

Tejas Chheda, Purujit Goyal, Trang Tran, Dhruvesh Patel, Michael Boratko, Shib Sankar Dasgupta, Andrew McCallum

Comments: The source code and the usage and API documentation for the library is available at this https URL and this https URL

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

[1347] arXiv:2109.05003 (cross-list from cs.CL) [pdf, other]

Title: Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training

Yu Meng, Yunyi Zhang, Jiaxin Huang, Xuan Wang, Yu Zhang, Heng Ji, Jiawei Han

Comments: EMNLP 2021. (Code: this https URL)

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

[1348] arXiv:2109.05019 (cross-list from q-bio.GN) [pdf, other]

Title: Spike2Vec: An Efficient and Scalable Embedding Approach for COVID-19 Spike Sequences

Sarwan Ali, Murray Patterson

Comments: Accepted at IEEE International Conference on Big Data (IEEE Big Data)

Subjects: Genomics (q-bio.GN); Machine Learning (cs.LG)

[1349] arXiv:2109.05023 (cross-list from eess.IV) [pdf, other]

Title: Real-time multimodal image registration with partial intraoperative point-set data

Zachary M C Baum, Yipeng Hu, Dean C Barratt

Comments: Accepted manuscript in Medical Image Analysis

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

[1350] arXiv:2109.05052 (cross-list from cs.CL) [pdf, other]

Title: Entity-Based Knowledge Conflicts in Question Answering

Shayne Longpre, Kartik Perisetla, Anthony Chen, Nikhil Ramesh, Chris DuBois, Sameer Singh

Comments: Accepted to Empirical Methods in Natural Language Processing (EMNLP) 2021

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