Machine Learning

Authors and titles for September 2021

[951] arXiv:2109.15035 [pdf, other]

Title: Focus! Rating XAI Methods and Finding Biases

Anna Arias-Duart, Ferran Parés, Dario Garcia-Gasulla, Victor Gimenez-Abalos

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

[952] arXiv:2109.15036 [pdf, other]

Title: Automated Workers Ergonomic Risk Assessment in Manual Material Handling using sEMG Wearable Sensors and Machine Learning

Srimantha E. Mudiyanselage, Phuong H.D. Nguyen, Mohammad Sadra Rajabi, Reza Akhavian

Journal-ref: Electronics. 2021; 10(20):2558

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

[953] arXiv:2109.15042 [pdf, other]

Title: A Priori Calibration of Transient Kinetics Data via Machine Learning

M. Ross Kunz, Adam Yonge, Rakesh Batchu, Zongtang Fang, Yixiao Wang, Gregory Yablonsky, Andrew J. Medford, Rebecca Fushimi

Subjects: Machine Learning (cs.LG); Chemical Physics (physics.chem-ph); Instrumentation and Detectors (physics.ins-det)

[954] arXiv:2109.15044 [pdf, other]

Title: SPATE-GAN: Improved Generative Modeling of Dynamic Spatio-Temporal Patterns with an Autoregressive Embedding Loss

Konstantin Klemmer, Tianlin Xu, Beatrice Acciaio, Daniel B. Neill

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

[955] arXiv:2109.15048 [pdf, other]

Title: Scale-invariant Learning by Physics Inversion

Philipp Holl, Vladlen Koltun, Nils Thuerey

Comments: NeurIPS 2022 version, appendix included

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

[956] arXiv:2109.15050 [pdf, other]

Title: An Offline Deep Reinforcement Learning for Maintenance Decision-Making

Hamed Khorasgani, Haiyan Wang, Chetan Gupta, Ahmed Farahat

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

[957] arXiv:2109.15097 [pdf, other]

Title: The Role of Bio-Inspired Modularity in General Learning

Rachel A. StClair, William Edward Hahn, Elan Barenholtz

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

[958] arXiv:2109.15103 [pdf, other]

Title: Scalable Rule-Based Representation Learning for Interpretable Classification

Zhuo Wang, Wei Zhang, Ning Liu, Jianyong Wang

Comments: Accepted by NeurIPS 2021; Interpretable ML; Neuro-Symbolic AI

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

[959] arXiv:2109.15112 [pdf, other]

Title: Interpretability in Safety-Critical FinancialTrading Systems

Gabriel Deza, Adelin Travers, Colin Rowat, Nicolas Papernot

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

[960] arXiv:2109.15142 [pdf, other]

Title: Redesigning the Transformer Architecture with Insights from Multi-particle Dynamical Systems

Subhabrata Dutta, Tanya Gautam, Soumen Chakrabarti, Tanmoy Chakraborty

Comments: NeurIPS 2021 (spotlight)

Subjects: Machine Learning (cs.LG)

[961] arXiv:2109.15149 [pdf, other]

Title: Deep Embedded K-Means Clustering

Wengang Guo, Kaiyan Lin, Wei Ye

Subjects: Machine Learning (cs.LG)

[962] arXiv:2109.15175 [pdf, other]

Title: Coordinated Reinforcement Learning for Optimizing Mobile Networks

Maxime Bouton, Hasan Farooq, Julien Forgeat, Shruti Bothe, Meral Shirazipour, Per Karlsson

Comments: 14 pages, 8 figures

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

[963] arXiv:2109.15200 [pdf, other]

Title: Semi-tensor Product-based TensorDecomposition for Neural Network Compression

Hengling Zhao, Yipeng Liu, Xiaolin Huang, Ce Zhu

Subjects: Machine Learning (cs.LG)

[964] arXiv:2109.15226 [pdf, other]

Title: Coding for Straggler Mitigation in Federated Learning

Siddhartha Kumar, Reent Schlegel, Eirik Rosnes, Alexandre Graell i Amat

Comments: 6 pages, 3 figures, published at the IEEE International Conference on Communications 2022

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

[965] arXiv:2109.15228 [pdf, other]

Title: Adapting Bandit Algorithms for Settings with Sequentially Available Arms

Marco Gabrielli, Francesco Trovò, Manuela Antonelli

Subjects: Machine Learning (cs.LG)

[966] arXiv:2109.15239 [pdf, other]

Title: Multi Scale Graph Wavenet for Wind Speed Forecasting

Neetesh Rathore, Pradeep Rathore, Arghya Basak, Sri Harsha Nistala, Venkataramana Runkana

Comments: 7 pages

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

[967] arXiv:2109.15257 [pdf, other]

Title: Latent Network Embedding via Adversarial Auto-encoders

Minglong Lei, Yong Shi, Lingfeng Niu

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

[968] arXiv:2109.15258 [pdf, other]

Title: Federated Dropout -- A Simple Approach for Enabling Federated Learning on Resource Constrained Devices

Dingzhu Wen, Ki-Jun Jeon, Kaibin Huang

Comments: This paper was accepted by IEEE Wireless Communications Letters

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

[969] arXiv:2109.15273 [pdf, other]

Title: DAAS: Differentiable Architecture and Augmentation Policy Search

Xiaoxing Wang, Xiangxiang Chu, Junchi Yan, Xiaokang Yang

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

[970] arXiv:2109.15284 [pdf, other]

Title: Which Design Decisions in AI-enabled Mobile Applications Contribute to Greener AI?

Roger Creus Castanyer, Silverio Martínez-Fernández, Xavier Franch

Comments: The current version is under review

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

[971] arXiv:2109.00024 (cross-list from cs.CY) [pdf, other]

Title: Machine-Learning media bias

Samantha D'Alonzo (MIT), Max Tegmark (MIT)

Comments: 29 pages, 23 figs; data available at this https URL

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

[972] arXiv:2109.00025 (cross-list from cs.CL) [pdf, other]

Title: Sense representations for Portuguese: experiments with sense embeddings and deep neural language models

Jessica Rodrigues da Silva, Helena de Medeiros Caseli

Comments: 24 pages, Springer Nature

Journal-ref: Language Resources and Evaluation (2021)

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

[973] arXiv:2109.00036 (cross-list from stat.ML) [pdf, other]

Title: Half-Space and Box Constraints as NUV Priors: First Results

Raphael Keusch, Hans-Andrea Loeliger

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Signal Processing (eess.SP); Systems and Control (eess.SY)

[974] arXiv:2109.00046 (cross-list from stat.ML) [pdf, html, other]

Title: Scalable Spatiotemporally Varying Coefficient Modelling with Bayesian Kernelized Tensor Regression

Mengying Lei, Aurelie Labbe, Lijun Sun

Journal-ref: Bayesian Analysis (2024)

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

[975] arXiv:2109.00074 (cross-list from cs.CL) [pdf, other]

Title: Effectiveness of Deep Networks in NLP using BiDAF as an example architecture

Soumyendu Sarkar

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

[976] arXiv:2109.00087 (cross-list from cs.CL) [pdf, other]

Title: It's not Rocket Science : Interpreting Figurative Language in Narratives

Tuhin Chakrabarty, Yejin Choi, Vered Shwartz

Comments: Accepted to TACL ( To be presented at ACL 2022, Dublin)

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

[977] arXiv:2109.00092 (cross-list from math.DS) [pdf, other]

Title: GFINNs: GENERIC Formalism Informed Neural Networks for Deterministic and Stochastic Dynamical Systems

Zhen Zhang, Yeonjong Shin, George Em Karniadakis

Subjects: Dynamical Systems (math.DS); Machine Learning (cs.LG)

[978] arXiv:2109.00103 (cross-list from cs.SD) [pdf, other]

Title: Automatic non-invasive Cough Detection based on Accelerometer and Audio Signals

Madhurananda Pahar, Igor Miranda, Andreas Diacon, Thomas Niesler

Comments: arXiv admin note: text overlap with arXiv:2102.04997

Journal-ref: Journal of Signal Processing Systems, 2022

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

[979] arXiv:2109.00110 (cross-list from cs.AI) [pdf, other]

Title: MiniF2F: a cross-system benchmark for formal Olympiad-level mathematics

Kunhao Zheng, Jesse Michael Han, Stanislas Polu

Comments: Published as a conference paper at ICLR 2022

Subjects: Artificial Intelligence (cs.AI); Formal Languages and Automata Theory (cs.FL); Machine Learning (cs.LG)

[980] arXiv:2109.00115 (cross-list from eess.IV) [pdf, other]

Title: Uncertainty Quantified Deep Learning for Predicting Dice Coefficient of Digital Histopathology Image Segmentation

Sambuddha Ghosal, Audrey Xie, Pratik Shah

Comments: Submitted to the 2022 IEEE International Symposium on Biomedical Imaging (ISBI) scientific conference

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

[981] arXiv:2109.00137 (cross-list from cs.RO) [pdf, other]

Title: Implicit Behavioral Cloning

Pete Florence, Corey Lynch, Andy Zeng, Oscar Ramirez, Ayzaan Wahid, Laura Downs, Adrian Wong, Johnny Lee, Igor Mordatch, Jonathan Tompson

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

[982] arXiv:2109.00172 (cross-list from eess.SP) [pdf, other]

Title: Task-Oriented Communication for Multi-Device Cooperative Edge Inference

Jiawei Shao, Yuyi Mao, Jun Zhang

Comments: This paper was accepted to IEEE Transactions on Wireless Communication

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

[983] arXiv:2109.00173 (cross-list from stat.ML) [pdf, other]

Title: FADE: FAir Double Ensemble Learning for Observable and Counterfactual Outcomes

Alan Mishler, Edward Kennedy

Comments: 56 pages, 20 figures

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

[984] arXiv:2109.00177 (cross-list from cs.AI) [pdf, other]

Title: Problem Learning: Towards the Free Will of Machines

Yongfeng Zhang

Comments: 17 pages, 1 figure

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

[985] arXiv:2109.00183 (cross-list from eess.SY) [pdf, other]

Title: Deep $\mathcal{L}^1$ Stochastic Optimal Control Policies for Planetary Soft-landing

Marcus A. Pereira, Camilo A. Duarte, Ioannis Exarchos, Evangelos A. Theodorou

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

[986] arXiv:2109.00185 (cross-list from cs.CL) [pdf, other]

Title: Adapted End-to-End Coreference Resolution System for Anaphoric Identities in Dialogues

Liyan Xu, Jinho D. Choi

Comments: Accepted to CODI-CRAC 2021

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

[987] arXiv:2109.00194 (cross-list from cs.CL) [pdf, other]

Title: Boosting Cross-Lingual Transfer via Self-Learning with Uncertainty Estimation

Liyan Xu, Xuchao Zhang, Xujiang Zhao, Haifeng Chen, Feng Chen, Jinho D. Choi

Comments: Accepted to EMNLP 2021

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

[988] arXiv:2109.00207 (cross-list from cs.GT) [pdf, other]

Title: Fairness based Multi-Preference Resource Allocation in Decentralised Open Markets

Pankaj Mishra, Ahmed Moustafa, Takayuki Ito

Subjects: Computer Science and Game Theory (cs.GT); Machine Learning (cs.LG); Multiagent Systems (cs.MA)

[989] arXiv:2109.00343 (cross-list from cs.CL) [pdf, other]

Title: Exploring deep learning methods for recognizing rare diseases and their clinical manifestations from texts

Isabel Segura-Bedmar, David Camino-Perdonas, Sara Guerrero-Aspizua

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

[990] arXiv:2109.00442 (cross-list from cs.CL) [pdf, other]

Title: Position Masking for Improved Layout-Aware Document Understanding

Anik Saha, Catherine Finegan-Dollak, Ashish Verma

Comments: Document Intelligence Workshop at KDD, 2021

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

[991] arXiv:2109.00498 (cross-list from cs.LO) [pdf, other]

Title: The Second International Verification of Neural Networks Competition (VNN-COMP 2021): Summary and Results

Stanley Bak, Changliu Liu, Taylor Johnson

Subjects: Logic in Computer Science (cs.LO); Machine Learning (cs.LG)

[992] arXiv:2109.00522 (cross-list from cs.CV) [pdf, other]

Title: Conditional Extreme Value Theory for Open Set Video Domain Adaptation

Zhuoxiao Chen, Yadan Luo, Mahsa Baktashmotlagh

Comments: Camera-ready. Accepted by ACM International Conference on Multimedia in Asia 2021 (MMAsia 2021)

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

[993] arXiv:2109.00523 (cross-list from cs.CL) [pdf, other]

Title: Text AutoAugment: Learning Compositional Augmentation Policy for Text Classification

Shuhuai Ren, Jinchao Zhang, Lei Li, Xu Sun, Jie Zhou

Comments: Accepted by EMNLP 2021 main conference (Long Paper)

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

[994] arXiv:2109.00524 (cross-list from cs.CV) [pdf, other]

Title: On the Limits of Pseudo Ground Truth in Visual Camera Re-localisation

Eric Brachmann, Martin Humenberger, Carsten Rother, Torsten Sattler

Comments: ICCV 2021

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

[995] arXiv:2109.00526 (cross-list from physics.optics) [pdf, other]

Title: Physics-informed Neural Network for Nonlinear Dynamics in Fiber Optics

Xiaotian Jiang, Danshi Wang, Qirui Fan, Min Zhang, Chao Lu, Alan Pak Tao Lau

Comments: 29 pages, 18 figures

Subjects: Optics (physics.optics); Machine Learning (cs.LG)

[996] arXiv:2109.00527 (cross-list from cs.CL) [pdf, other]

Title: Boosting Search Engines with Interactive Agents

Leonard Adolphs, Benjamin Boerschinger, Christian Buck, Michelle Chen Huebscher, Massimiliano Ciaramita, Lasse Espeholt, Thomas Hofmann, Yannic Kilcher, Sascha Rothe, Pier Giuseppe Sessa, Lierni Sestorain Saralegui

Comments: Published in Transactions on Machine Learning Research (06/2022)

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

[997] arXiv:2109.00530 (cross-list from cs.CG) [pdf, other]

Title: A Gradient Sampling Algorithm for Stratified Maps with Applications to Topological Data Analysis

Jacob Leygonie, Mathieu Carrière (DATASHAPE), Théo Lacombe (DATASHAPE), Steve Oudot (DATASHAPE)

Subjects: Computational Geometry (cs.CG); Machine Learning (cs.LG); Algebraic Topology (math.AT); Optimization and Control (math.OC)

[998] arXiv:2109.00531 (cross-list from stat.ML) [pdf, other]

Title: Under-bagging Nearest Neighbors for Imbalanced Classification

Hanyuan Hang, Yuchao Cai, Hanfang Yang, Zhouchen Lin

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

[999] arXiv:2109.00532 (cross-list from cs.CV) [pdf, other]

Title: TransforMesh: A Transformer Network for Longitudinal modeling of Anatomical Meshes

Ignacio Sarasua, Sebastian Pölsterl, Christian Wachinger

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

[1000] arXiv:2109.00534 (cross-list from math.OC) [pdf, other]

Title: The Minimax Complexity of Distributed Optimization

Blake Woodworth

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