Machine Learning

Authors and titles for September 2021

[751] arXiv:2109.12273 [pdf, other]

Title: FedProc: Prototypical Contrastive Federated Learning on Non-IID data

Xutong Mu, Yulong Shen, Ke Cheng, Xueli Geng, Jiaxuan Fu, Tao Zhang, Zhiwei Zhang

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

[752] arXiv:2109.12276 [pdf, other]

Title: Cardiac Complication Risk Profiling for Cancer Survivors via Multi-View Multi-Task Learning

Thai-Hoang Pham, Changchang Yin, Laxmi Mehta, Xueru Zhang, Ping Zhang

Comments: 10 pages, 4 figures, 6 tables, accepted as regular paper at ICDM 2021

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

[753] arXiv:2109.12286 [pdf, other]

Title: Stackelberg Actor-Critic: Game-Theoretic Reinforcement Learning Algorithms

Liyuan Zheng, Tanner Fiez, Zane Alumbaugh, Benjamin Chasnov, Lillian J. Ratliff

Subjects: Machine Learning (cs.LG)

[754] arXiv:2109.12298 [pdf, other]

Title: Opacus: User-Friendly Differential Privacy Library in PyTorch

Ashkan Yousefpour, Igor Shilov, Alexandre Sablayrolles, Davide Testuggine, Karthik Prasad, Mani Malek, John Nguyen, Sayan Ghosh, Akash Bharadwaj, Jessica Zhao, Graham Cormode, Ilya Mironov

Comments: Privacy in Machine Learning (PriML) workshop, NeurIPS 2021

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

[755] arXiv:2109.12323 [pdf, other]

Title: Deep Learning-Based Detection of the Acute Respiratory Distress Syndrome: What Are the Models Learning?

Gregory B. Rehm, Chao Wang, Irene Cortes-Puch, Chen-Nee Chuah, Jason Adams

Subjects: Machine Learning (cs.LG)

[756] arXiv:2109.12347 [pdf, other]

Title: A Principled Approach to Failure Analysis and Model Repairment: Demonstration in Medical Imaging

Thomas Henn, Yasukazu Sakamoto, Clément Jacquet, Shunsuke Yoshizawa, Masamichi Andou, Stephen Tchen, Ryosuke Saga, Hiroyuki Ishihara, Katsuhiko Shimizu, Yingzhen Li, Ryutaro Tanno

Journal-ref: Medical Image Computing and Computer Assisted Intervention MICCAI 2021 pp 509-518

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

[757] arXiv:2109.12379 [pdf, other]

Title: TEMGNet: Deep Transformer-based Decoding of Upperlimb sEMG for Hand Gestures Recognition

Elahe Rahimian, Soheil Zabihi, Amir Asif, Dario Farina, S. Farokh Atashzar, Arash Mohammadi

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

[758] arXiv:2109.12390 [pdf, other]

Title: Model reduction for the material point method via an implicit neural representation of the deformation map

Peter Yichen Chen, Maurizio M. Chiaramonte, Eitan Grinspun, Kevin Carlberg

Subjects: Machine Learning (cs.LG); Computational Engineering, Finance, and Science (cs.CE); Graphics (cs.GR); Numerical Analysis (math.NA)

[759] arXiv:2109.12400 [pdf, other]

Title: Communication-Efficient Federated Linear and Deep Generalized Canonical Correlation Analysis

Sagar Shrestha, Xiao Fu

Subjects: Machine Learning (cs.LG); Distributed, Parallel, and Cluster Computing (cs.DC); Signal Processing (eess.SP)

[760] arXiv:2109.12421 [pdf, other]

Title: Integrating Unsupervised Clustering and Label-specific Oversampling to Tackle Imbalanced Multi-label Data

Payel Sadhukhan, Arjun Pakrashi, Sarbani Palit, Brian Mac Namee

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

[761] arXiv:2109.12423 [pdf, other]

Title: Random Walk-steered Majority Undersampling

Payel Sadhukhan, Arjun Pakrashi, Brian Mac Namee

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

[762] arXiv:2109.12425 [pdf, other]

Title: L$^{2}$NAS: Learning to Optimize Neural Architectures via Continuous-Action Reinforcement Learning

Keith G. Mills, Fred X. Han, Mohammad Salameh, Seyed Saeed Changiz Rezaei, Linglong Kong, Wei Lu, Shuo Lian, Shangling Jui, Di Niu

Comments: Accepted as a Full Research Paper at CIKM 2021; 10 pages, 3 Figures, 5 Tables

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

[763] arXiv:2109.12426 [pdf, other]

Title: Profiling Neural Blocks and Design Spaces for Mobile Neural Architecture Search

Keith G. Mills, Fred X. Han, Jialin Zhang, Seyed Saeed Changiz Rezaei, Fabian Chudak, Wei Lu, Shuo Lian, Shangling Jui, Di Niu

Comments: Accepted as an Applied Research Paper at CIKM 2021; 10 pages, 8 Figures, 2 Tables

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

[764] arXiv:2109.12456 [pdf, other]

Title: Auditing AI models for Verified Deployment under Semantic Specifications

Homanga Bharadhwaj, De-An Huang, Chaowei Xiao, Anima Anandkumar, Animesh Garg

Comments: Preprint; Under review

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

[765] arXiv:2109.12482 [pdf, other]

Title: Physics-informed Convolutional Neural Networks for Temperature Field Prediction of Heat Source Layout without Labeled Data

Xiaoyu Zhao, Zhiqiang Gong, Yunyang Zhang, Wen Yao, Xiaoqian Chen

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

[766] arXiv:2109.12497 [pdf, other]

Title: Unbiased Single-scale and Multi-scale Quantizers for Distributed Optimization

S Vineeth

Comments: AAAI-22 Workshop on Information Theory for Deep Learning (IT4DL)

Subjects: Machine Learning (cs.LG); Distributed, Parallel, and Cluster Computing (cs.DC); Information Theory (cs.IT)

[767] arXiv:2109.12498 [pdf, other]

Title: Short-Term Load Forecasting Using Time Pooling Deep Recurrent Neural Network

Elahe Khoshbakhti Vaygan, Roozbeh Rajabi, Abouzar Estebsari

Comments: 5 pages, conference

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

[768] arXiv:2109.12504 [pdf, other]

Title: AdaInject: Injection Based Adaptive Gradient Descent Optimizers for Convolutional Neural Networks

Shiv Ram Dubey, S.H. Shabbeer Basha, Satish Kumar Singh, Bidyut Baran Chaudhuri

Comments: Accepted By IEEE Transactions on Artificial Intelligence

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

[769] arXiv:2109.12508 [pdf, other]

Title: LINDA: Multi-Agent Local Information Decomposition for Awareness of Teammates

Jiahan Cao, Lei Yuan, Jianhao Wang, Shaowei Zhang, Chongjie Zhang, Yang Yu, De-Chuan Zhan

Subjects: Machine Learning (cs.LG); Multiagent Systems (cs.MA)

[770] arXiv:2109.12513 [pdf, other]

Title: Generalized multiscale feature extraction for remaining useful life prediction of bearings with generative adversarial networks

Sungho Suh, Paul Lukowicz, Yong Oh Lee

Comments: Submitted to Knowledge-Based Systems, Elsevier (Major revision)

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

[771] arXiv:2109.12516 [pdf, other]

Title: Prioritized Experience-based Reinforcement Learning with Human Guidance for Autonomous Driving

Jingda Wu, Zhiyu Huang, Wenhui Huang, Chen Lv

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

[772] arXiv:2109.12517 [pdf, other]

Title: Dynamic Adaptive Spatio-temporal Graph Convolution for fMRI Modelling

Ahmed El-Gazzar, Rajat Mani Thomas, Guido van Wingen

Comments: Accepted at International Workshop on Machine Learning in Clinical Neuroimaging (MLCN2021)

Journal-ref: Abdulkadir A. et al. (eds) Machine Learning in Clinical Neuroimaging. MLCN 2021. Lecture Notes in Computer Science, vol 13001. Springer, Cham

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

[773] arXiv:2109.12519 [pdf, other]

Title: AsySQN: Faster Vertical Federated Learning Algorithms with Better Computation Resource Utilization

Qingsong Zhang, Bin Gu, Cheng Deng, Songxiang Gu, Liefeng Bo, Jian Pei, Heng Huang

Comments: Accepted by KDD 2021, 33 pages, 4 figs

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

[774] arXiv:2109.12534 [pdf, other]

Title: Data Summarization via Bilevel Optimization

Zalán Borsos, Mojmír Mutný, Marco Tagliasacchi, Andreas Krause

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

[775] arXiv:2109.12546 [pdf, other]

Title: Synthetic Data Generation for Fraud Detection using GANs

Charitos Charitou, Simo Dragicevic, Artur d'Avila Garcez

Comments: 8 pages

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

[776] arXiv:2109.12550 [pdf, other]

Title: MixNN: Protection of Federated Learning Against Inference Attacks by Mixing Neural Network Layers

Antoine Boutet, Thomas Lebrun, Jan Aalmoes, Adrien Baud

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

[777] arXiv:2109.12674 [pdf, other]

Title: MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning

Quanyi Li, Zhenghao Peng, Lan Feng, Qihang Zhang, Zhenghai Xue, Bolei Zhou

Comments: Source code, documentation, and demo video are available at this https URL . More research projects based on MetaDrive simulator are listed at this https URL

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

[778] arXiv:2109.12679 [pdf, html, other]

Title: Be More Active! Understanding the Differences between Mean and Sampled Representations of Variational Autoencoders

Lisa Bonheme, Marek Grzes

Comments: the main paper of 20 pages plus an appendix; 29 pages in total. Published as a JMLR article. The final version is available at this https URL

Journal-ref: Journal of Machine Learning Research 24 (2023): 1-30

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

[779] arXiv:2109.12686 [pdf, other]

Title: Efficient Non-linear Calculators

Adedamola Wuraola, Nitish Patel

Comments: 8 pages, 13 figures, summary paper

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

[780] arXiv:2109.12714 [pdf, other]

Title: Cluster Analysis with Deep Embeddings and Contrastive Learning

Ramakrishnan Sundareswaran, Jansel Herrera-Gerena, John Just, Ali Jannesari

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

[781] arXiv:2109.12746 [pdf, other]

Title: Training on Test Data with Bayesian Adaptation for Covariate Shift

Aurick Zhou, Sergey Levine

Subjects: Machine Learning (cs.LG)

[782] arXiv:2109.12750 [pdf, other]

Title: Learning Multimodal Rewards from Rankings

Vivek Myers, Erdem Bıyık, Nima Anari, Dorsa Sadigh

Comments: 17 pages, 12 figures, 2 tables. Published at Conference on Robot Learning (CoRL) 2021

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

[783] arXiv:2109.12764 [pdf, other]

Title: Graph-Based Spatial-Temporal Convolutional Network for Vehicle Trajectory Prediction in Autonomous Driving

Zihao Sheng, Yunwen Xu, Shibei Xue, Dewei Li

Comments: 11 pages, 9 figures, 8 tables, submitted to IEEE Trans. Intelligent Transportation Systems

Journal-ref: IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 10, pp. 17654-17665, 2022

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

[784] arXiv:2109.12769 [pdf, other]

Title: Heterogeneous Treatment Effect Estimation using machine learning for Healthcare application: tutorial and benchmark

Yaobin Ling, Pulakesh Upadhyaya, Luyao Chen, Xiaoqian Jiang, Yejin Kim

Comments: 52 pages, 8 figures

Journal-ref: Journal of Biomedical Informatics (2022): 104256

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

[785] arXiv:2109.12777 [pdf, other]

Title: ReINTEL Challenge 2020: A Comparative Study of Hybrid Deep Neural Network for Reliable Intelligence Identification on Vietnamese SNSs

Hoang Viet Trinh, Tung Tien Bui, Tam Minh Nguyen, Huy Quang Dao, Quang Huu Pham, Ngoc N. Tran, Ta Minh Thanh

Journal-ref: Proceedings of the 7th International Workshop on Vietnamese Language and Speech Processing (VLSP), Hanoi, Vietnam, 2020, pp. 6-12

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

[786] arXiv:2109.12784 [pdf, other]

Title: Learning from Few Samples: Transformation-Invariant SVMs with Composition and Locality at Multiple Scales

Tao Liu, P. R. Kumar, Ruida Zhou, Xi Liu

Comments: Will appear in NeurIPS 2022

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

[787] arXiv:2109.12803 [pdf, other]

Title: Distributionally Robust Multi-Output Regression Ranking

Shahabeddin Sotudian, Ruidi Chen, Ioannis Paschalidis

Subjects: Machine Learning (cs.LG)

[788] arXiv:2109.12838 [pdf, other]

Title: MUTEN: Boosting Gradient-Based Adversarial Attacks via Mutant-Based Ensembles

Yuejun Guo, Qiang Hu, Maxime Cordy, Michail Papadakis, Yves Le Traon

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

[789] arXiv:2109.12846 [pdf, other]

Title: HAGEN: Homophily-Aware Graph Convolutional Recurrent Network for Crime Forecasting

Chenyu Wang, Zongyu Lin, Xiaochen Yang, Jiao Sun, Mingxuan Yue, Cyrus Shahabi

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

[790] arXiv:2109.12851 [pdf, other]

Title: Improving Uncertainty of Deep Learning-based Object Classification on Radar Spectra using Label Smoothing

Kanil Patel, William Beluch, Kilian Rambach, Michael Pfeiffer, Bin Yang

Comments: Submitted to IEEE Radar Conference 2022

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

[791] arXiv:2109.12909 [pdf, other]

Title: Compressive Visual Representations

Kuang-Huei Lee, Anurag Arnab, Sergio Guadarrama, John Canny, Ian Fischer

Comments: NeurIPS 2021. 27 pages, 4 figures. Code and pretrained models at this https URL

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

[792] arXiv:2109.12922 [pdf, other]

Title: ClipMatrix: Text-controlled Creation of 3D Textured Meshes

Nikolay Jetchev

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

[793] arXiv:2109.12926 [pdf, other]

Title: ML4ML: Automated Invariance Testing for Machine Learning Models

Zukang Liao, Pengfei Zhang, Min Chen

Comments: Published at IEEE AITEST 2022

Subjects: Machine Learning (cs.LG)

[794] arXiv:2109.12935 [pdf, other]

Title: Time Series Model Attribution Visualizations as Explanations

Udo Schlegel, Daniel A. Keim

Comments: 4 pages, 1 page refrences, TREX 2021: Workshop on TRust and EXpertise in Visual Analytics

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

[795] arXiv:2109.12948 [pdf, other]

Title: Understanding and Overcoming the Challenges of Efficient Transformer Quantization

Yelysei Bondarenko, Markus Nagel, Tijmen Blankevoort

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

[796] arXiv:2109.12964 [pdf, other]

Title: An IIoT machine model for achieving consistency in product quality in manufacturing plants

Abhik Banerjee, Abdur Rahim Mohammad Forkan, Dimitrios Georgakopoulos, Josip Karabotic Milovac, Prem Prakash Jayaraman

Comments: 10 pages, 8 figures

Subjects: Machine Learning (cs.LG)

[797] arXiv:2109.12970 [pdf, other]

Title: Deep Learning Based Resource Assignment for Wireless Networks

Minseok Kim, Hoon Lee, Hongju Lee, Inkyu Lee

Comments: to appear in IEEE Communications Letters

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

[798] arXiv:2109.13005 [pdf, other]

Title: Efficiently Training On-Policy Actor-Critic Networks in Robotic Deep Reinforcement Learning with Demonstration-like Sampled Exploration

Zhaorun Chen, Binhao Chen, Shenghan Xie, Liang Gong, Chengliang Liu, Zhengfeng Zhang, Junping Zhang

Comments: This paper is accepted at The 3rd International Symposium on Robotics & Intelligent Manufacturing Technology (ISRIMT 2021) (this https URL) and nominated as the "best paper"

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

[799] arXiv:2109.13012 [pdf, other]

Title: Federated Deep Learning with Bayesian Privacy

Hanlin Gu, Lixin Fan, Bowen Li, Yan Kang, Yuan Yao, Qiang Yang

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

[800] arXiv:2109.13061 [pdf, other]

Title: Searching for Minimal Optimal Neural Networks

Lam Si Tung Ho, Vu Dinh

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