Machine Learning

Authors and titles for September 2021

[1351] arXiv:2109.05070 (cross-list from cs.CV) [pdf, other]

Title: Instance-Conditioned GAN

Arantxa Casanova, Marlène Careil, Jakob Verbeek, Michal Drozdzal, Adriana Romero-Soriano

Comments: Accepted at NeurIPS2021

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

[1352] arXiv:2109.05074 (cross-list from cs.CL) [pdf, other]

Title: FBERT: A Neural Transformer for Identifying Offensive Content

Diptanu Sarkar, Marcos Zampieri, Tharindu Ranasinghe, Alexander Ororbia

Comments: Accepted to EMNLP Findings

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

[1353] arXiv:2109.05077 (cross-list from eess.SY) [pdf, other]

Title: Data Generation Method for Learning a Low-dimensional Safe Region in Safe Reinforcement Learning

Zhehua Zhou, Ozgur S. Oguz, Yi Ren, Marion Leibold, Martin Buss

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

[1354] arXiv:2109.05097 (cross-list from cs.CL) [pdf, other]

Title: HypoGen: Hyperbole Generation with Commonsense and Counterfactual Knowledge

Yufei Tian, Arvind krishna Sridhar, Nanyun Peng

Comments: Accepted at Findings of EMNLP21

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

[1355] arXiv:2109.05103 (cross-list from cs.NI) [pdf, other]

Title: No Size Fits All: Automated Radio Configuration for LPWANs

Zerina Kapetanovic, Deepak Vasisht, Tusher Chakraborty, Joshua R. Smith, Ranveer Chandra

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

[1356] arXiv:2109.05125 (cross-list from cs.IR) [pdf, other]

Title: MURAL: Multimodal, Multitask Retrieval Across Languages

Aashi Jain, Mandy Guo, Krishna Srinivasan, Ting Chen, Sneha Kudugunta, Chao Jia, Yinfei Yang, Jason Baldridge

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

[1357] arXiv:2109.05131 (cross-list from stat.ML) [pdf, other]

Title: Near Instance Optimal Model Selection for Pure Exploration Linear Bandits

Yinglun Zhu, Julian Katz-Samuels, Robert Nowak

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

[1358] arXiv:2109.05159 (cross-list from eess.IV) [pdf, other]

Title: Co-Correcting: Noise-tolerant Medical Image Classification via mutual Label Correction

Jiarun Liu, Ruirui Li, Chuan Sun

Comments: IEEE Transactions on Medical Imaging 2021

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

[1359] arXiv:2109.05173 (cross-list from cs.DB) [pdf, other]

Title: Making Table Understanding Work in Practice

Madelon Hulsebos, Sneha Gathani, James Gale, Isil Dillig, Paul Groth, Çağatay Demiralp

Comments: Submitted to CIDR'22

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

[1360] arXiv:2109.05175 (cross-list from stat.ML) [pdf, other]

Title: Estimation of Local Average Treatment Effect by Data Combination

Kazuhiko Shinoda, Takahiro Hoshino

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

[1361] arXiv:2109.05201 (cross-list from cs.CV) [pdf, other]

Title: Conditional Generation of Synthetic Geospatial Images from Pixel-level and Feature-level Inputs

Xuerong Xiao, Swetava Ganguli, Vipul Pandey

Comments: Extended abstract accepted for presentation at BayLearn 2021. 3 pages, 2 figures

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

[1362] arXiv:2109.05207 (cross-list from astro-ph.IM) [pdf, other]

Title: AstronomicAL: An interactive dashboard for visualisation, integration and classification of data using Active Learning

Grant Stevens, Sotiria Fotopoulou, Malcolm N. Bremer, Oliver Ray

Comments: 7 pages, 4 figures, Journal of Open Source Software

Journal-ref: Journal of Open Source Software (2021), 6(65), 3635

Subjects: Instrumentation and Methods for Astrophysics (astro-ph.IM); Human-Computer Interaction (cs.HC); Machine Learning (cs.LG)

[1363] arXiv:2109.05222 (cross-list from cs.IT) [pdf, other]

Title: Fundamental limits of over-the-air optimization: Are analog schemes optimal?

Shubham K Jha, Prathamesh Mayekar, Himanshu Tyagi

Comments: Few typos fixed and one reference added. An abridged version of this paper will appear in the proceedings of IEEE Global Communications Conference (GLOBECOM), Spain, 2021

Subjects: Information Theory (cs.IT); Machine Learning (cs.LG); Signal Processing (eess.SP); Machine Learning (stat.ML)

[1364] arXiv:2109.05265 (cross-list from cs.RO) [pdf, other]

Title: RVMDE: Radar Validated Monocular Depth Estimation for Robotics

Muhamamd Ishfaq Hussain, Muhammad Aasim Rafique, Moongu Jeon

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

[1365] arXiv:2109.05276 (cross-list from cs.DC) [pdf, other]

Title: Benchmarking Processor Performance by Multi-Threaded Machine Learning Algorithms

Muhammad Fahad Saleem

Comments: The research paper consists of seven pages and contains twenty nine figures

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

[1366] arXiv:2109.05278 (cross-list from cs.IR) [pdf, other]

Title: Existence conditions for hidden feedback loops in online recommender systems

Anton S. Khritankov, Anton A. Pilkevich

Comments: 6 pages, 3 figures

Journal-ref: WISE 2021 Conf., LNCS, V.13081, pp. 267-274. Springer, 2021

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

[1367] arXiv:2109.05281 (cross-list from cs.CL) [pdf, other]

Title: COSMic: A Coherence-Aware Generation Metric for Image Descriptions

Mert İnan, Piyush Sharma, Baber Khalid, Radu Soricut, Matthew Stone, Malihe Alikhani

Comments: 12 pages, 4 figures, Findings of the Association for Computational Linguistics: EMNLP 2021

Journal-ref: https://aclanthology.org/2021.findings-emnlp.291

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

[1368] arXiv:2109.05294 (cross-list from physics.geo-ph) [pdf, other]

Title: MLReal: Bridging the gap between training on synthetic data and real data applications in machine learning

Tariq Alkhalifah, Hanchen Wang, Oleg Ovcharenko

Comments: 27 pages, 15 figures

Subjects: Geophysics (physics.geo-ph); Machine Learning (cs.LG); Signal Processing (eess.SP)

[1369] arXiv:2109.05317 (cross-list from stat.ML) [pdf, other]

Title: Bayesian Topic Regression for Causal Inference

Maximilian Ahrens, Julian Ashwin, Jan-Peter Calliess, Vu Nguyen

Comments: accepted as a conference paper at EMNLP 2021

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

[1370] arXiv:2109.05352 (cross-list from cs.CV) [pdf, other]

Title: DeepPyram: Enabling Pyramid View and Deformable Pyramid Reception for Semantic Segmentation in Cataract Surgery Videos

Negin Ghamsarian, Mario Taschwer, klaus Schoeffmann

Comments: 12 pages, 10 figures

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

[1371] arXiv:2109.05391 (cross-list from math.OC) [pdf, other]

Title: Gradients and Subgradients of Buffered Failure Probability

Johannes O. Royset, Ji-Eun Byun

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

[1372] arXiv:2109.05402 (cross-list from stat.ML) [pdf, other]

Title: Differentially Private Variable Selection via the Knockoff Filter

Mehrdad Pournaderi, Yu Xiang

Comments: Accepted to the 2021 IEEE International Workshop on Machine Learning for Signal Processing (MLSP)

Subjects: Machine Learning (stat.ML); Cryptography and Security (cs.CR); Databases (cs.DB); Information Theory (cs.IT); Machine Learning (cs.LG)

[1373] arXiv:2109.05408 (cross-list from cs.IT) [pdf, other]

Title: On the Fundamental Limits of Matrix Completion: Leveraging Hierarchical Similarity Graphs

Junhyung Ahn, Adel Elmahdy, Soheil Mohajer, Changho Suh

Comments: The first two authors contributed equally to this work. A preliminary version of this work was presented at the 2020 Advances in Neural Information Processing Systems Conference (NeurIPS 2020)

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

[1374] arXiv:2109.05409 (cross-list from eess.IV) [pdf, other]

Title: Team NeuroPoly: Description of the Pipelines for the MICCAI 2021 MS New Lesions Segmentation Challenge

Uzay Macar, Enamundram Naga Karthik, Charley Gros, Andréanne Lemay, Julien Cohen-Adad

Comments: To be presented at the 2021 MICCAI Challenge on Multiple Sclerosis Lesion Segmentation (MSSEG-2); 8 pages in total

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

[1375] arXiv:2109.05424 (cross-list from cs.CL) [pdf, other]

Title: Pairwise Supervised Contrastive Learning of Sentence Representations

Dejiao Zhang, Shang-Wen Li, Wei Xiao, Henghui Zhu, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang

Comments: 9 pages, EMNLP 2021

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

[1376] arXiv:2109.05466 (cross-list from eess.SP) [pdf, other]

Title: Graph Attention Network Based Single-Pixel Compressive Direction of Arrival Estimation

Kürşat Tekbıyık, Okan Yurduseven, Güneş Karabulut Kurt

Comments: 5 pages, 4 figures

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

[1377] arXiv:2109.05470 (cross-list from cs.CR) [pdf, other]

Title: DRo: A data-scarce mechanism to revolutionize the performance of Deep Learning based Security Systems

Mohit Sewak, Sanjay K. Sahay, Hemant Rathore

Journal-ref: 2021 IEEE 46th Conference on Local Computer Networks (LCN), 2021, pp. 581-588

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

[1378] arXiv:2109.05478 (cross-list from cs.ET) [pdf, other]

Title: Single-Read Reconstruction for DNA Data Storage Using Transformers

Yotam Nahum, Eyar Ben-Tolila, Leon Anavy

Comments: 9 pages, 6 figures

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

[1379] arXiv:2109.05485 (cross-list from cs.CV) [pdf, other]

Title: Facial Anatomical Landmark Detection using Regularized Transfer Learning with Application to Fetal Alcohol Syndrome Recognition

Zeyu Fu, Jianbo Jiao, Michael Suttie, J. Alison Noble

Comments: To appear in IEEE journal of Biomedical and Health Informatics 2021

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

[1380] arXiv:2109.05493 (cross-list from cs.CV) [pdf, other]

Title: LEA-Net: Layer-wise External Attention Network for Efficient Color Anomaly Detection

Ryoya Katafuchi, Terumasa Tokunaga

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

[1381] arXiv:2109.05507 (cross-list from cs.CR) [pdf, other]

Title: Check Your Other Door! Creating Backdoor Attacks in the Frequency Domain

Hasan Abed Al Kader Hammoud, Bernard Ghanem

Comments: Accepted to BMVC 2022

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

[1382] arXiv:2109.05522 (cross-list from cs.CL) [pdf, other]

Title: TEASEL: A Transformer-Based Speech-Prefixed Language Model

Mehdi Arjmand, Mohammad Javad Dousti, Hadi Moradi

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

[1383] arXiv:2109.05526 (cross-list from cs.CV) [pdf, other]

Title: An Unsupervised Deep-Learning Method for Fingerprint Classification: the CCAE Network and the Hybrid Clustering Strategy

Yue-Jie Hou, Zai-Xin Xie, Jian-Hu, Yao-Shen, Chi-Chun Zhou

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

[1384] arXiv:2109.05536 (cross-list from eess.SP) [pdf, other]

Title: Link Scheduling using Graph Neural Networks

Zhongyuan Zhao, Gunjan Verma, Chirag Rao, Ananthram Swami, Santiago Segarra

Comments: Main: 15 pages, 12 figures. Supplement: 5 pages, 7 figures. Accepted to IEEE Transactions on Wireless Communications. arXiv admin note: text overlap with arXiv:2011.09430

Journal-ref: IEEE Transactions on Wireless Communications ( Volume: 22, Issue: 6, June 2023), Page(s): 3997 - 4012

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

[1385] arXiv:2109.05539 (cross-list from cs.NE) [pdf, other]

Title: BioLCNet: Reward-modulated Locally Connected Spiking Neural Networks

Hafez Ghaemi, Erfan Mirzaei, Mahbod Nouri, Saeed Reza Kheradpisheh

Comments: 15 pages, 6 figures

Subjects: Neural and Evolutionary Computing (cs.NE); Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG); Neurons and Cognition (q-bio.NC)

[1386] arXiv:2109.05542 (cross-list from cs.CV) [pdf, other]

Title: Unsupervised Domain Adaptive Learning via Synthetic Data for Person Re-identification

Qi Wang, Sikai Bai, Junyu Gao, Yuan Yuan, Xuelong Li

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

[1387] arXiv:2109.05547 (cross-list from quant-ph) [pdf, other]

Title: Towards a variational Jordan-Lee-Preskill quantum algorithm

Junyu Liu, Zimu Li, Han Zheng, Xiao Yuan, Jinzhao Sun

Comments: v2: modified style, add references, clear typos. v3; v4: significant change, authors added

Journal-ref: Mach. Learn.: Sci. Technol. 3 045030, 2022

Subjects: Quantum Physics (quant-ph); Information Theory (cs.IT); Machine Learning (cs.LG); High Energy Physics - Theory (hep-th)

[1388] arXiv:2109.05565 (cross-list from cs.CV) [pdf, other]

Title: SphereFace Revived: Unifying Hyperspherical Face Recognition

Weiyang Liu, Yandong Wen, Bhiksha Raj, Rita Singh, Adrian Weller

Comments: Accepted to IEEE Transactions on Pattern Analysis and Machine Intelligence

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

[1389] arXiv:2109.05578 (cross-list from stat.ML) [pdf, other]

Title: Kernel PCA with the Nystr\"om method

Fredrik Hallgren

Comments: 47 pages, 6 figures

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

[1390] arXiv:2109.05580 (cross-list from eess.IV) [pdf, other]

Title: A Joint Graph and Image Convolution Network for Automatic Brain Tumor Segmentation

Camillo Saueressig, Adam Berkley, Reshma Munbodh, Ritambhara Singh

Comments: 9 pages, 3 figures, submitted to BrainLes Workshop (MICCAI 2021) as part of BraTS2021 challenge

Subjects: Image and Video Processing (eess.IV); Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG); Tissues and Organs (q-bio.TO)

[1391] arXiv:2109.05583 (cross-list from stat.ML) [pdf, other]

Title: Automatic Componentwise Boosting: An Interpretable AutoML System

Stefan Coors, Daniel Schalk, Bernd Bischl, David Rügamer

Comments: 6 pages, 4 figures, ECML-PKDD Workshop on Automating Data Science 2021

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

[1392] arXiv:2109.05598 (cross-list from cond-mat.mtrl-sci) [pdf, other]

Title: Neural network based order parameter for phase transitions and its applications in high-entropy alloys

Junqi Yin, Zongrui Pei, Michael Gao

Subjects: Materials Science (cond-mat.mtrl-sci); Machine Learning (cs.LG)

[1393] arXiv:2109.05604 (cross-list from cs.RO) [pdf, other]

Title: Direct Random Search for Fine Tuning of Deep Reinforcement Learning Policies

Sean Gillen, Asutay Ozmen, Katie Byl

Comments: Under Review

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

[1394] arXiv:2109.05629 (cross-list from cs.HC) [pdf, other]

Title: AdViCE: Aggregated Visual Counterfactual Explanations for Machine Learning Model Validation

Oscar Gomez, Steffen Holter, Jun Yuan, Enrico Bertini

Comments: 4 pages, 2 figures, IEEE VIS 2021 Machine learning, interpretability, explainability, counterfactual explanations, data visualization

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

[1395] arXiv:2109.05633 (cross-list from cs.CV) [pdf, other]

Title: Generating Datasets of 3D Garments with Sewing Patterns

Maria Korosteleva, Sung-Hee Lee

Comments: To appear in NeurIPS 2021 Datasets and Benchmarks Track

Journal-ref: Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1 (NeurIPS Datasets and Benchmarks 2021)

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

[1396] arXiv:2109.05652 (cross-list from stat.ML) [pdf, other]

Title: Inferential Wasserstein Generative Adversarial Networks

Yao Chen, Qingyi Gao, Xiao Wang

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

[1397] arXiv:2109.05659 (cross-list from cs.CR) [pdf, other]

Title: Source Inference Attacks in Federated Learning

Hongsheng Hu, Zoran Salcic, Lichao Sun, Gillian Dobbie, Xuyun Zhang

Comments: This paper has been accepted by ICDM 2021

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

[1398] arXiv:2109.05671 (cross-list from cs.CV) [pdf, other]

Title: Shape-Biased Domain Generalization via Shock Graph Embeddings

Maruthi Narayanan, Vickram Rajendran, Benjamin Kimia

Comments: Accepted to ICCV 2021

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

[1399] arXiv:2109.05673 (cross-list from cs.CV) [pdf, other]

Title: FaceGuard: Proactive Deepfake Detection

Yuankun Yang, Chenyue Liang, Hongyu He, Xiaoyu Cao, Neil Zhenqiang Gong

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

[1400] arXiv:2109.05674 (cross-list from eess.SP) [pdf, other]

Title: Real-Time EMG Signal Classification via Recurrent Neural Networks

Reza Bagherian Azhiri, Mohammad Esmaeili, Mehrdad Nourani

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