Machine Learning

Authors and titles for September 2021

[251] arXiv:2109.04463 [pdf, other]

Title: Neural Latents Benchmark '21: Evaluating latent variable models of neural population activity

Felix Pei, Joel Ye, David Zoltowski, Anqi Wu, Raeed H. Chowdhury, Hansem Sohn, Joseph E. O'Doherty, Krishna V. Shenoy, Matthew T. Kaufman, Mark Churchland, Mehrdad Jazayeri, Lee E. Miller, Jonathan Pillow, Il Memming Park, Eva L. Dyer, Chethan Pandarinath

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

[252] arXiv:2109.04467 [pdf, other]

Title: Mining Points of Interest via Address Embeddings: An Unsupervised Approach

Abhinav Ganesan, Anubhav Gupta, Jose Mathew

Comments: 18 pages, single column

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

[253] arXiv:2109.04504 [pdf, other]

Title: Bootstrapped Meta-Learning

Sebastian Flennerhag, Yannick Schroecker, Tom Zahavy, Hado van Hasselt, David Silver, Satinder Singh

Comments: Published at ICLR 2022. 37 pages, 19 figures, 9 tables

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

[254] arXiv:2109.04518 [pdf, other]

Title: Unsupervised Causal Binary Concepts Discovery with VAE for Black-box Model Explanation

Thien Q. Tran, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma

Subjects: Machine Learning (cs.LG)

[255] arXiv:2109.04533 [pdf, other]

Title: FedCon: A Contrastive Framework for Federated Semi-Supervised Learning

Zewei Long, Jiaqi Wang, Yaqing Wang, Houping Xiao, Fenglong Ma

Subjects: Machine Learning (cs.LG)

[256] arXiv:2109.04550 [pdf, other]

Title: SeDyT: A General Framework for Multi-Step Event Forecasting via Sequence Modeling on Dynamic Entity Embeddings

Hongkuan Zhou, James Orme-Rogers, Rajgopal Kannan, Viktor Prasanna

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

[257] arXiv:2109.04554 [pdf, other]

Title: Feature-based Individual Fairness in k-Clustering

Debajyoti Kar, Mert Kosan, Debmalya Mandal, Sourav Medya, Arlei Silva, Palash Dey, Swagato Sanyal

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

[258] arXiv:2109.04565 [pdf, other]

Title: TENET: Temporal CNN with Attention for Anomaly Detection in Automotive Cyber-Physical Systems

S. V. Thiruloga, V. K. Kukkala, S. Pasricha

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

[259] arXiv:2109.04566 [pdf, other]

Title: SanitAIs: Unsupervised Data Augmentation to Sanitize Trojaned Neural Networks

Kiran Karra, Chace Ashcraft, Cash Costello

Comments: 7 pages, 5 figures

Subjects: Machine Learning (cs.LG)

[260] arXiv:2109.04572 [pdf, other]

Title: Deciphering Environmental Air Pollution with Large Scale City Data

Mayukh Bhattacharyya, Sayan Nag, Udita Ghosh

Comments: Accepted as a Oral Spotlight Paper at International Joint Conference of Artificial Intelligence (IJCAI) 2022

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Data Analysis, Statistics and Probability (physics.data-an)

[261] arXiv:2109.04608 [pdf, other]

Title: Spatially Focused Attack against Spatiotemporal Graph Neural Networks

Fuqiang Liu, Luis Miranda-Moreno, Lijun Sun

Subjects: Machine Learning (cs.LG)

[262] arXiv:2109.04617 [pdf, other]

Title: Efficiently Identifying Task Groupings for Multi-Task Learning

Christopher Fifty, Ehsan Amid, Zhe Zhao, Tianhe Yu, Rohan Anil, Chelsea Finn

Comments: In NeurIPS 2021 (spotlight). Code is available at this https URL

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

[263] arXiv:2109.04623 [pdf, other]

Title: ReLU Regression with Massart Noise

Ilias Diakonikolas, Jongho Park, Christos Tzamos

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

[264] arXiv:2109.04624 [pdf, other]

Title: Style Pooling: Automatic Text Style Obfuscation for Improved Classification Fairness

Fatemehsadat Mireshghallah, Taylor Berg-Kirkpatrick

Comments: EMNLP 2021

Subjects: Machine Learning (cs.LG)

[265] arXiv:2109.04626 [pdf, other]

Title: A Fast PC Algorithm with Reversed-order Pruning and A Parallelization Strategy

Kai Zhang, Chao Tian, Kun Zhang, Todd Johnson, Xiaoqian Jiang

Comments: 37 pages

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

[266] arXiv:2109.04640 [pdf, other]

Title: Projected State-action Balancing Weights for Offline Reinforcement Learning

Jiayi Wang, Zhengling Qi, Raymond K.W. Wong

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

[267] arXiv:2109.04641 [pdf, other]

Title: Learning to Teach with Student Feedback

Yitao Liu, Tianxiang Sun, Xipeng Qiu, Xuanjing Huang

Subjects: Machine Learning (cs.LG)

[268] arXiv:2109.04660 [pdf, other]

Title: Dynamic Collective Intelligence Learning: Finding Efficient Sparse Model via Refined Gradients for Pruned Weights

Jangho Kim, Jayeon Yoo, Yeji Song, KiYoon Yoo, Nojun Kwak

Comments: Accepted to ACM MM 2023, code is in this https URL

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

[269] arXiv:2109.04684 [pdf, other]

Title: Enhancing Unsupervised Anomaly Detection with Score-Guided Network

Zongyuan Huang, Baohua Zhang, Guoqiang Hu, Longyuan Li, Yanyan Xu, Yaohui Jin

Comments: Final version in TNNLS

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

[270] arXiv:2109.04697 [pdf, other]

Title: Unfolding Projection-free SDP Relaxation of Binary Graph Classifier via GDPA Linearization

Cheng Yang, Gene Cheung, Wai-tian Tan, Guangtao Zhai

Subjects: Machine Learning (cs.LG)

[271] arXiv:2109.04720 [pdf, other]

Title: 6MapNet: Representing soccer players from tracking data by a triplet network

Hyunsung Kim, Jihun Kim, Dongwook Chung, Jonghyun Lee, Jinsung Yoon, Sang-Ki Ko

Comments: 12 pages, 4 figures, In 8th Workshop on Machine Learning and Data Mining for Sports Analytics (MLSA21)

Journal-ref: ECML-PKDD Workshop on Machine Learning and Data Mining for Sports Analytics, 2021

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

[272] arXiv:2109.04746 [pdf, other]

Title: Counterfactual Adversarial Learning with Representation Interpolation

Wei Wang, Boxin Wang, Ning Shi, Jinfeng Li, Bingyu Zhu, Xiangyu Liu, Rong Zhang

Comments: Accepted to Findings of EMNLP 2021

Subjects: Machine Learning (cs.LG)

[273] arXiv:2109.04767 [pdf, other]

Title: Multi-label Classification of Aircraft Heading Changes Using Neural Network to Resolve Conflicts

Md Siddiqur Rahman, Laurent Lapasset, Josiane Mothe

Comments: This paper has been withdraw by the Authors due to some crucial errors and measurements

Subjects: Machine Learning (cs.LG)

[274] arXiv:2109.04797 [pdf, other]

Title: Mesh convolutional neural networks for wall shear stress estimation in 3D artery models

Julian Suk, Pim de Haan, Phillip Lippe, Christoph Brune, Jelmer M. Wolterink

Comments: (MICCAI 2021) Workshop on Statistical Atlases and Computational Modelling of the Heart (STACOM). The final authenticated version is available on SpringerLink

Subjects: Machine Learning (cs.LG); Computer Vision and Pattern Recognition (cs.CV); Fluid Dynamics (physics.flu-dyn)

[275] arXiv:2109.04824 [pdf, other]

Title: Inverse design of 3d molecular structures with conditional generative neural networks

Niklas W. A. Gebauer, Michael Gastegger, Stefaan S. P. Hessmann, Klaus-Robert Müller, Kristof T. Schütt

Journal-ref: Nature Communications 13, 973 (2022)

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

[276] arXiv:2109.04831 [pdf, other]

Title: Simulating the Effects of Eco-Friendly Transportation Selections for Air Pollution Reduction

Keiichi Ochiai, Tsukasa Demizu, Shin Ishiguro, Shohei Maruyama, Akihiro Kawana

Comments: KDD Cup 2019 Regular ML Track Task 2, 1st Prize this https URL

Subjects: Machine Learning (cs.LG)

[277] arXiv:2109.04833 [pdf, other]

Title: Multimodal Federated Learning on IoT Data

Yuchen Zhao, Payam Barnaghi, Hamed Haddadi

Comments: 12 pages, IoTDI '22, May 3-6, 2022, Milan, Italy

Subjects: Machine Learning (cs.LG)

[278] arXiv:2109.04838 [pdf, other]

Title: Block Pruning For Faster Transformers

François Lagunas, Ella Charlaix, Victor Sanh, Alexander M. Rush

Comments: EMNLP 2021. Code, hyper-parameters, evaluation results and checkpoints available at this https URL

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

[279] arXiv:2109.04880 [pdf, other]

Title: Hybrid modeling of the human cardiovascular system using NeuralFMUs

Tobias Thummerer, Johannes Tintenherr, Lars Mikelsons

Subjects: Machine Learning (cs.LG); Computational Engineering, Finance, and Science (cs.CE)

[280] arXiv:2109.04881 [pdf, other]

Title: ProcK: Machine Learning for Knowledge-Intensive Processes

Tobias Jacobs, Jingyi Yu, Julia Gastinger, Timo Sztyler

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

[281] arXiv:2109.04925 [pdf, other]

Title: Rapid Model Architecture Adaption for Meta-Learning

Yiren Zhao, Xitong Gao, Ilia Shumailov, Nicolo Fusi, Robert Mullins

Subjects: Machine Learning (cs.LG)

[282] arXiv:2109.04954 [pdf, other]

Title: Saliency Guided Experience Packing for Replay in Continual Learning

Gobinda Saha, Kaushik Roy

Comments: To appear in IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2023

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

[283] arXiv:2109.04979 [pdf, other]

Title: A Study of Joint Graph Inference and Forecasting

Daniel Zügner, François-Xavier Aubet, Victor Garcia Satorras, Tim Januschowski, Stephan Günnemann, Jan Gasthaus

Comments: Published at the ICML 2021 Time Series Workshop

Subjects: Machine Learning (cs.LG)

[284] arXiv:2109.04983 [pdf, other]

Title: A Neural Tangent Kernel Perspective of Infinite Tree Ensembles

Ryuichi Kanoh, Mahito Sugiyama

Comments: Accepted to ICLR 2022

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

[285] arXiv:2109.04999 [pdf, other]

Title: Fairness without the sensitive attribute via Causal Variational Autoencoder

Vincent Grari, Sylvain Lamprier, Marcin Detyniecki

Comments: 8 pages, 9 figures

Journal-ref: IJCAI 2022

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computers and Society (cs.CY); Machine Learning (stat.ML)

[286] arXiv:2109.05000 [pdf, other]

Title: Assessing the Quality of the Datasets by Identifying Mislabeled Samples

Vaibhav Pulastya, Gaurav Nuti, Yash Kumar Atri, Tanmoy Chakraborty

Comments: Short paper accepted at ASONAM 2021

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

[287] arXiv:2109.05013 [pdf, other]

Title: PWPAE: An Ensemble Framework for Concept Drift Adaptation in IoT Data Streams

Li Yang, Dimitrios Michael Manias, Abdallah Shami

Comments: Accepted and to appear in IEEE GlobeCom 2021; Code is available at Github link: this https URL

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

[288] arXiv:2109.05022 [pdf, other]

Title: Potential-based Reward Shaping in Sokoban

Zhao Yang, Mike Preuss, Aske Plaat

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

[289] arXiv:2109.05024 [pdf, other]

Title: Optimizing a domestic battery and solar photovoltaic system with deep reinforcement learning

Alexander J. M. Kell, A. Stephen McGough, Matthew Forshaw

Comments: arXiv admin note: text overlap with arXiv:2011.04079

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

[290] arXiv:2109.05053 [pdf, other]

Title: Physics-based machine learning for modeling stochastic IP3-dependent calcium dynamics

Oliver K. Ernst, Tom Bartol, Terrence Sejnowski, Eric Mjolsness

Comments: 26 pages

Subjects: Machine Learning (cs.LG); Chemical Physics (physics.chem-ph); Computational Physics (physics.comp-ph); Neurons and Cognition (q-bio.NC)

[291] arXiv:2109.05075 [pdf, html, other]

Title: On the Compression of Neural Networks Using $\ell_0$-Norm Regularization and Weight Pruning

Felipe Dennis de Resende Oliveira, Eduardo Luiz Ortiz Batista, Rui Seara

Comments: 34 pages, 9 figures, 7 tables

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

[292] arXiv:2109.05087 [pdf, other]

Title: Global and Local Interpretation of black-box Machine Learning models to determine prognostic factors from early COVID-19 data

Ananya Jana, Carlos D. Minacapelli, Vinod Rustgi, Dimitris Metaxas

Comments: accepted by SIPAIM 2021, code repository: this https URL

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

[293] arXiv:2109.05095 [pdf, other]

Title: Stochastic Adversarial Koopman Model for Dynamical Systems

Kaushik Balakrishnan, Devesh Upadhyay

Comments: 20 pages, 10 figures

Subjects: Machine Learning (cs.LG)

[294] arXiv:2109.05104 [pdf, other]

Title: Machine learning reveals how personalized climate communication can both succeed and backfire

Totte Harinen, Alexandre Filipowicz, Shabnam Hakimi, Rumen Iliev, Matthew Klenk, Emily Sumner

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

[295] arXiv:2109.05109 [pdf, other]

Title: Toward Communication Efficient Adaptive Gradient Method

Xiangyi Chen, Xiaoyun Li, Ping Li

Subjects: Machine Learning (cs.LG); Distributed, Parallel, and Cluster Computing (cs.DC); Machine Learning (stat.ML)

[296] arXiv:2109.05110 [pdf, other]

Title: An Empirical Comparison of Off-policy Prediction Learning Algorithms in the Four Rooms Environment

Sina Ghiassian, Richard S. Sutton

Comments: 13 pages

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

[297] arXiv:2109.05180 [pdf, other]

Title: A Novel Intrinsic Measure of Data Separability

Shuyue Guan, Murray Loew

Comments: 16 pages, 12 figures. arXiv admin note: substantial text overlap with arXiv:2005.13120

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

[298] arXiv:2109.05198 [pdf, other]

Title: Doubly Adaptive Scaled Algorithm for Machine Learning Using Second-Order Information

Majid Jahani, Sergey Rusakov, Zheng Shi, Peter Richtárik, Michael W. Mahoney, Martin Takáč

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

[299] arXiv:2109.05223 [pdf, other]

Title: 2-in-1 Accelerator: Enabling Random Precision Switch for Winning Both Adversarial Robustness and Efficiency

Yonggan Fu, Yang Zhao, Qixuan Yu, Chaojian Li, Yingyan Lin

Comments: Accepted at MICRO 2021

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

[300] arXiv:2109.05225 [pdf, other]

Title: Space Meets Time: Local Spacetime Neural Network For Traffic Flow Forecasting

Song Yang, Jiamou Liu, Kaiqi Zhao

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