Machine Learning

Authors and titles for September 2021

[2051] arXiv:2109.14216 (cross-list from stat.ML) [pdf, other]

Title: Spread Flows for Manifold Modelling

Mingtian Zhang, Yitong Sun, Chen Zhang, Steven McDonagh

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

[2052] arXiv:2109.14247 (cross-list from cs.NE) [pdf, other]

Title: Training Feedback Spiking Neural Networks by Implicit Differentiation on the Equilibrium State

Mingqing Xiao, Qingyan Meng, Zongpeng Zhang, Yisen Wang, Zhouchen Lin

Comments: Accepted by NeurIPS 2021 (Spotlight)

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

[2053] arXiv:2109.14259 (cross-list from cs.CL) [pdf, other]

Title: Hierarchical Character Tagger for Short Text Spelling Error Correction

Mengyi Gao, Canran Xu, Peng Shi

Comments: To appear in WNUT 2021 workshop, 8 pages, 2 figures

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

[2054] arXiv:2109.14275 (cross-list from cs.RO) [pdf, other]

Title: Simulation-based Bayesian inference for multi-fingered robotic grasping

Norman Marlier, Olivier Brüls, Gilles Louppe

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

[2055] arXiv:2109.14282 (cross-list from stat.ML) [pdf, other]

Title: A gradient-based variable selection for binary classification in reproducing kernel Hilbert space

Jongkyeong Kang, Seung Jun Shin

Comments: 22 pages, 2 figures

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

[2056] arXiv:2109.14306 (cross-list from cs.CV) [pdf, other]

Title: Three-Stream 3D/1D CNN for Fine-Grained Action Classification and Segmentation in Table Tennis

Pierre-Etienne Martin (MPI-EVA), Jenny Benois-Pineau (UB), Renaud Péteri (MIA), Julien Morlier (UB)

Comments: MMSports '21, October 20, 2021, Virtual Event,, Oct 2021, Chengdu, China

Subjects: Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI); Human-Computer Interaction (cs.HC); Machine Learning (cs.LG); Multimedia (cs.MM)

[2057] arXiv:2109.14309 (cross-list from cs.AI) [pdf, other]

Title: Online Aggregation of Probability Forecasts with Confidence

Vladimir V'yugin, Vladimir Trunov

Comments: 32 pages, 10 figures

Journal-ref: Pattern Recognition, Volume 121, January 2022, 108193

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

[2058] arXiv:2109.14320 (cross-list from cs.AR) [pdf, other]

Title: Google Neural Network Models for Edge Devices: Analyzing and Mitigating Machine Learning Inference Bottlenecks

Amirali Boroumand, Saugata Ghose, Berkin Akin, Ravi Narayanaswami, Geraldo F. Oliveira, Xiaoyu Ma, Eric Shiu, Onur Mutlu

Comments: This work appears at the 30th International Conference on Parallel Architectures and Compilation Techniques (PACT 2021). arXiv admin note: substantial text overlap with arXiv:2103.00768

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

[2059] arXiv:2109.14326 (cross-list from cs.SE) [pdf, other]

Title: DeepAnalyze: Learning to Localize Crashes at Scale

Manish Shetty, Chetan Bansal, Suman Nath, Sean Bowles, Henry Wang, Ozgur Arman, Siamak Ahari

Subjects: Software Engineering (cs.SE); Artificial Intelligence (cs.AI); Distributed, Parallel, and Cluster Computing (cs.DC); Machine Learning (cs.LG)

[2060] arXiv:2109.14420 (cross-list from cs.CL) [pdf, other]

Title: FastCorrect 2: Fast Error Correction on Multiple Candidates for Automatic Speech Recognition

Yichong Leng, Xu Tan, Rui Wang, Linchen Zhu, Jin Xu, Wenjie Liu, Linquan Liu, Tao Qin, Xiang-Yang Li, Edward Lin, Tie-Yan Liu

Comments: Findings of EMNLP 2021

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

[2061] arXiv:2109.14423 (cross-list from cs.IT) [pdf, other]

Title: Digital Twins based Day-ahead Integrated Energy System Scheduling under Load and Renewable Energy Uncertainties

Minglei You, Qian Wang, Hongjian Sun, Ivan Castro, Jing Jiang

Comments: 28 pages, 8 figures, journal paper accepted by Applied Energy

Journal-ref: Applied Energy, 2022, vol 305, 117899

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

[2062] arXiv:2109.14433 (cross-list from eess.IV) [pdf, other]

Title: Multi-loss ensemble deep learning for chest X-ray classification

Sivaramakrishnan Rajaraman, Ghada Zamzmi, Sameer Antani

Comments: 27 pages, 6 figures, 5 tables

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

[2063] arXiv:2109.14449 (cross-list from cs.CV) [pdf, other]

Title: One Loss for All: Deep Hashing with a Single Cosine Similarity based Learning Objective

Jiun Tian Hoe, Kam Woh Ng, Tianyu Zhang, Chee Seng Chan, Yi-Zhe Song, Tao Xiang

Comments: Accepted at NeurIPS 2021

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

[2064] arXiv:2109.14456 (cross-list from cs.CL) [pdf, other]

Title: Overview of the Arabic Sentiment Analysis 2021 Competition at KAUST

Hind Alamro, Manal Alshehri, Basma Alharbi, Zuhair Khayyat, Manal Kalkatawi, Inji Ibrahim Jaber, Xiangliang Zhang

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

[2065] arXiv:2109.14501 (cross-list from stat.ML) [pdf, html, other]

Title: Towards a theory of out-of-distribution learning

Jayanta Dey, Ali Geisa, Ronak Mehta, Tyler M. Tomita, Hayden S. Helm, Haoyin Xu, Eric Eaton, Jeffery Dick, Carey E. Priebe, Joshua T. Vogelstein

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

[2066] arXiv:2109.14528 (cross-list from cs.DS) [pdf, other]

Title: Sublinear Time and Space Algorithms for Correlation Clustering via Sparse-Dense Decompositions

Sepehr Assadi, Chen Wang

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

[2067] arXiv:2109.14546 (cross-list from eess.SP) [pdf, other]

Title: An Energy Efficient Health Monitoring Approach with Wireless Body Area Networks

Seemandhar Jain, Prarthi Jain, Prabhat K. Upadhyay, Jules M. Moualeu, Abhishek Srivastava

Comments: 23 pages, 18 figures. (Full Abstract : this https URL)

Subjects: Signal Processing (eess.SP); Machine Learning (cs.LG); Networking and Internet Architecture (cs.NI)

[2068] arXiv:2109.14549 (cross-list from cs.RO) [pdf, other]

Title: Vision-Guided Quadrupedal Locomotion in the Wild with Multi-Modal Delay Randomization

Chieko Sarah Imai, Minghao Zhang, Yuchen Zhang, Marcin Kierebinski, Ruihan Yang, Yuzhe Qin, Xiaolong Wang

Comments: IROS 2022, Project page: this https URL

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

[2069] arXiv:2109.14563 (cross-list from cs.CV) [pdf, other]

Title: Robust Temporal Ensembling for Learning with Noisy Labels

Abel Brown, Benedikt Schifferer, Robert DiPietro

Comments: includes additional baselines and hyperparam references

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

[2070] arXiv:2109.14567 (cross-list from stat.ML) [pdf, other]

Title: Implicit Generative Copulas

Tim Janke, Mohamed Ghanmi, Florian Steinke

Comments: Accepted at NeurIPS 2021

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Computational Finance (q-fin.CP); Applications (stat.AP)

[2071] arXiv:2109.14646 (cross-list from cs.CV) [pdf, other]

Title: FathomNet: A global image database for enabling artificial intelligence in the ocean

Kakani Katija, Eric Orenstein, Brian Schlining, Lonny Lundsten, Kevin Barnard, Giovanna Sainz, Oceane Boulais, Megan Cromwell, Erin Butler, Benjamin Woodward, Katy Croff Bell

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

[2072] arXiv:2109.14659 (cross-list from q-bio.QM) [pdf, other]

Title: Stroke recovery phenotyping through network trajectory approaches and graph neural networks

Sanjukta Krishnagopal, Keith Lohse, Robynne Braun

Comments: 20 pages, 5 figures

Subjects: Quantitative Methods (q-bio.QM); Machine Learning (cs.LG); Social and Information Networks (cs.SI); Data Analysis, Statistics and Probability (physics.data-an)

[2073] arXiv:2109.14671 (cross-list from cs.CV) [pdf, other]

Title: Segmentation of Roads in Satellite Images using specially modified U-Net CNNs

Jonas Bokstaller, Yihang She, Zhehan Fu, Tommaso Macrì

Comments: 4 pages, 4 figures

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

[2074] arXiv:2109.14685 (cross-list from eess.IV) [pdf, other]

Title: Automatic Estimation of Ulcerative Colitis Severity from Endoscopy Videos using Ordinal Multi-Instance Learning

Evan Schwab, Gabriela Oana Cula, Kristopher Standish, Stephen S. F. Yip, Aleksandar Stojmirovic, Louis Ghanem, Christel Chehoud

Comments: *Co-Senior Authors. Accepted for publication in the Special Issue Journal of Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization and presented at the MICCAI 2021 AE-CAI $|$ CARE $|$ OR 2.0 Workshop

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

[2075] arXiv:2109.14696 (cross-list from cs.NI) [pdf, other]

Title: Time-Distributed Feature Learning in Network Traffic Classification for Internet of Things

Yoga Suhas Kuruba Manjunath, Sihao Zhao, Xiao-Ping Zhang

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

[2076] arXiv:2109.14710 (cross-list from cs.CV) [pdf, other]

Title: Convolutional Neural Network Compression through Generalized Kronecker Product Decomposition

Marawan Gamal Abdel Hameed, Marzieh S. Tahaei, Ali Mosleh, Vahid Partovi Nia

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

[2077] arXiv:2109.14746 (cross-list from cs.CV) [pdf, other]

Title: Improvising the Learning of Neural Networks on Hyperspherical Manifold

Lalith Bharadwaj Baru, Sai Vardhan Kanumolu, Akshay Patel Shilhora, Madhu G

Comments: LMRL Workshop at NeurIPS 2021

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

[2078] arXiv:2109.14752 (cross-list from stat.ML) [pdf, other]

Title: Kernel distance measures for time series, random fields and other structured data

Srinjoy Das, Hrushikesh Mhaskar, Alexander Cloninger

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

[2079] arXiv:2109.14756 (cross-list from math.OC) [pdf, html, other]

Title: A Two-Time-Scale Stochastic Optimization Framework with Applications in Control and Reinforcement Learning

Sihan Zeng, Thinh T. Doan, Justin Romberg

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

[2080] arXiv:2109.14760 (cross-list from eess.IV) [pdf, other]

Title: Chest X-Rays Image Classification from beta-Variational Autoencoders Latent Features

Leonardo Crespi, Daniele Loiacono, Arturo Chiti

Comments: 8 pages, 5 figures

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

[2081] arXiv:2109.14766 (cross-list from q-bio.QM) [pdf, other]

Title: Boost-RS: Boosted Embeddings for Recommender Systems and its Application to Enzyme-Substrate Interaction Prediction

Xinmeng Li, Li-ping Liu, Soha Hassoun

Comments: 9 pages; 2 figures

Subjects: Quantitative Methods (q-bio.QM); Information Retrieval (cs.IR); Machine Learning (cs.LG)

[2082] arXiv:2109.14770 (cross-list from astro-ph.SR) [pdf, other]

Title: Feature Selection on a Flare Forecasting Testbed: A Comparative Study of 24 Methods

Atharv Yeoleka, Sagar Patel, Shreejaa Talla, Krishna Rukmini Puthucode, Azim Ahmadzadeh, Viacheslav M. Sadykov, Rafal A. Angryk

Comments: 10 pages, 7 figures, 1 table, IEEE ICDM 2021, SFE-TSDM Workshop

Subjects: Solar and Stellar Astrophysics (astro-ph.SR); Instrumentation and Methods for Astrophysics (astro-ph.IM); Machine Learning (cs.LG)

[2083] arXiv:2109.14772 (cross-list from cond-mat.mtrl-sci) [pdf, other]

Title: An Automated Scanning Transmission Electron Microscope Guided by Sparse Data Analytics

Matthew Olszta, Derek Hopkins, Kevin R. Fiedler, Marjolein Oostrom, Sarah Akers, Steven R. Spurgeon

Comments: 28 pages, 3 figures

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

[2084] arXiv:2109.14775 (cross-list from eess.IV) [pdf, other]

Title: A Prior Knowledge Based Tumor and Tumoral Subregion Segmentation Tool for Pediatric Brain Tumors

Silu Zhang, Angela Edwards, Shubo Wang, Zoltan Patay, Asim Bag, Matthew A. Scoggins

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

[2085] arXiv:2109.14792 (cross-list from eess.IV) [pdf, other]

Title: Automated airway segmentation by learning graphical structure

Yihua Yang

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

[2086] arXiv:2109.14830 (cross-list from cs.AI) [pdf, other]

Title: Reinforcement Learning for Classical Planning: Viewing Heuristics as Dense Reward Generators

Clement Gehring, Masataro Asai, Rohan Chitnis, Tom Silver, Leslie Pack Kaelbling, Shirin Sohrabi, Michael Katz

Comments: Equal contributions by the first two authors. This manuscript is a camera-ready version accepted in ICAPS-2022. It is significantly updated from past versions (e.g., in the ICAPS PRL (Planning and RL) workshop) with additional experiments comparing existing work (STRIPS-HGN (Shen, Trevizan, and Thiebaux 2020) and GBFS-GNN (Rivlin, Hazan, and Karpas 2019))

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

[2087] arXiv:2109.14845 (cross-list from cs.CV) [pdf, other]

Title: AffectGAN: Affect-Based Generative Art Driven by Semantics

Theodoros Galanos, Antonios Liapis, Georgios N. Yannakakis

Comments: Published in the "What's Next in Affect Modeling?" workshop at the Affective Computing & Intelligent Interaction (ACII) 2021 conference, 7 pages, 3 figures

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

[2088] arXiv:2109.14855 (cross-list from cs.RO) [pdf, other]

Title: Sim2Real for Soft Robotic Fish via Differentiable Simulation

John Z. Zhang, Yu Zhang, Pingchuan Ma, Elvis Nava, Tao Du, Philip Arm, Wojciech Matusik, Robert K. Katzschmann

Comments: Published at IROS 2022. 8 pages, 9 figures

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

[2089] arXiv:2109.14860 (cross-list from physics.comp-ph) [pdf, other]

Title: Physics and Equality Constrained Artificial Neural Networks: Application to Forward and Inverse Problems with Multi-fidelity Data Fusion

Shamsulhaq Basir, Inanc Senocak

Journal-ref: Journal of Computational Physics, Volume 463, 15 August 2022, 111301

Subjects: Computational Physics (physics.comp-ph); Machine Learning (cs.LG); Numerical Analysis (math.NA); Fluid Dynamics (physics.flu-dyn)

[2090] arXiv:2109.14875 (cross-list from stat.ML) [pdf, other]

Title: Adversarial Regression with Doubly Non-negative Weighting Matrices

Tam Le, Truyen Nguyen, Makoto Yamada, Jose Blanchet, Viet Anh Nguyen

Comments: Accepted to the Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS2021)

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

[2091] arXiv:2109.14878 (cross-list from cs.DC) [pdf, other]

Title: Accelerating Fully Connected Neural Network on Optical Network-on-Chip (ONoC)

Fei Dai, Yawen Chen, Haibo Zhang, Zhiyi Huang

Comments: 14 pages, 10 figures. This paper is under the second review of IEEE Transactions of Computers

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

[2092] arXiv:2109.14879 (cross-list from cs.CV) [pdf, other]

Title: Robust Segmentation Models using an Uncertainty Slice Sampling Based Annotation Workflow

Grzegorz Chlebus, Andrea Schenk, Horst K. Hahn, Bram van Ginneken, Hans Meine

Comments: This work has been submitted to the IEEE for possible publication

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

[2093] arXiv:2109.14881 (cross-list from stat.ML) [pdf, other]

Title: Extracting stochastic dynamical systems with $\alpha$-stable L\'evy noise from data

Yang Li, Yubin Lu, Shengyuan Xu, Jinqiao Duan

Comments: arXiv admin note: text overlap with arXiv:2108.12570

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Probability (math.PR); Data Analysis, Statistics and Probability (physics.data-an)

[2094] arXiv:2109.14910 (cross-list from cs.CV) [pdf, other]

Title: CrossCLR: Cross-modal Contrastive Learning For Multi-modal Video Representations

Mohammadreza Zolfaghari, Yi Zhu, Peter Gehler, Thomas Brox

Comments: ICCV 2021, 14 pages, 13 figures

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

[2095] arXiv:2109.14929 (cross-list from math.NA) [pdf, other]

Title: Learning the Markov Decision Process in the Sparse Gaussian Elimination

Yingshi Chen

Comments: 13 pages,2 figures

Subjects: Numerical Analysis (math.NA); Machine Learning (cs.LG); Mathematical Software (cs.MS)

[2096] arXiv:2109.14956 (cross-list from eess.IV) [pdf, other]

Title: Comparative Validation of Machine Learning Algorithms for Surgical Workflow and Skill Analysis with the HeiChole Benchmark

Martin Wagner, Beat-Peter Müller-Stich, Anna Kisilenko, Duc Tran, Patrick Heger, Lars Mündermann, David M Lubotsky, Benjamin Müller, Tornike Davitashvili, Manuela Capek, Annika Reinke, Tong Yu, Armine Vardazaryan, Chinedu Innocent Nwoye, Nicolas Padoy, Xinyang Liu, Eung-Joo Lee, Constantin Disch, Hans Meine, Tong Xia, Fucang Jia, Satoshi Kondo, Wolfgang Reiter, Yueming Jin, Yonghao Long, Meirui Jiang, Qi Dou, Pheng Ann Heng, Isabell Twick, Kadir Kirtac, Enes Hosgor, Jon Lindström Bolmgren, Michael Stenzel, Björn von Siemens, Hannes G. Kenngott, Felix Nickel, Moritz von Frankenberg, Franziska Mathis-Ullrich, Lena Maier-Hein, Stefanie Speidel, Sebastian Bodenstedt

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

[2097] arXiv:2109.14970 (cross-list from cs.DB) [pdf, other]

Title: A Friend Recommendation System using Semantic Based KNN Algorithm

Srikantaiah K C, Salony Mewara, Sneha Goyal, Subhiksha S

Journal-ref: Journal of Seybold Report, VOLUME 15 ISSUE 9 2020 , page 1201-1209

Subjects: Databases (cs.DB); Machine Learning (cs.LG)

[2098] arXiv:2109.14974 (cross-list from cs.RO) [pdf, other]

Title: Unified Data Collection for Visual-Inertial Calibration via Deep Reinforcement Learning

Yunke Ao, Le Chen, Florian Tschopp, Michel Breyer, Andrei Cramariuc, Roland Siegwart

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

[2099] arXiv:2109.15005 (cross-list from math.NA) [pdf, other]

Title: SCIMAT: Science and Mathematics Dataset

Neeraj Kollepara, Snehith Kumar Chatakonda, Pawan Kumar

Comments: 5 pages, 1 Figure, Under Review at DCAI workshop

Subjects: Numerical Analysis (math.NA); Information Retrieval (cs.IR); Machine Learning (cs.LG)

[2100] arXiv:2109.15015 (cross-list from cs.GT) [pdf, other]

Title: Robust Allocations with Diversity Constraints

Zeyu Shen, Lodewijk Gelauff, Ashish Goel, Aleksandra Korolova, Kamesh Munagala

Comments: Accepted to NeurIPS 2021

Subjects: Computer Science and Game Theory (cs.GT); Data Structures and Algorithms (cs.DS); Machine Learning (cs.LG)