Machine Learning

Authors and titles for September 2021

[1051] arXiv:2109.01084 (cross-list from cs.IR) [pdf, other]

Title: Text Classification for Predicting Multi-level Product Categories

Hadi Jahanshahi, Ozan Ozyegen, Mucahit Cevik, Beste Bulut, Deniz Yigit, Fahrettin F. Gonen, Ayşe Başar

Comments: CASCON'21; 31st Annual International Conference on Computer Science and Software Engineering; Nov 22-26, 2021; Toronto, Canada}

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

[1052] arXiv:2109.01085 (cross-list from cs.CV) [pdf, other]

Title: Cascade RCNN for MIDOG Challenge

Salar Razavi, Fariba Dambandkhameneh, Dimitri Androutsos, Susan Done, April Khademi

Comments: Two-page preprint abstract submission for MIDOG challenge, see this https URL, three figures

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

[1053] arXiv:2109.01087 (cross-list from cs.CV) [pdf, other]

Title: On-target Adaptation

Dequan Wang, Shaoteng Liu, Sayna Ebrahimi, Evan Shelhamer, Trevor Darrell

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

[1054] arXiv:2109.01097 (cross-list from cs.CV) [pdf, other]

Title: The Functional Correspondence Problem

Zihang Lai, Senthil Purushwalkam, Abhinav Gupta

Comments: Accepted to ICCV 2021

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

[1055] arXiv:2109.01115 (cross-list from cs.RO) [pdf, other]

Title: Learning Language-Conditioned Robot Behavior from Offline Data and Crowd-Sourced Annotation

Suraj Nair, Eric Mitchell, Kevin Chen, Brian Ichter, Silvio Savarese, Chelsea Finn

Comments: Conference on Robot Learning (CoRL) 2021. 24 Pages, 18 Figures

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

[1056] arXiv:2109.01120 (cross-list from eess.SP) [pdf, other]

Title: Automatic Diagnosis of Schizophrenia in EEG Signals Using CNN-LSTM Models

Afshin Shoeibi, Delaram Sadeghi, Parisa Moridian, Navid Ghassemi, Jonathan Heras, Roohallah Alizadehsani, Ali Khadem, Yinan Kong, Saeid Nahavandi, Yu-Dong Zhang, Juan M. Gorriz

Journal-ref: Front. Neuroinform. 15:777977 (2021)

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

[1057] arXiv:2109.01123 (cross-list from cs.CV) [pdf, other]

Title: Benchmarking the Robustness of Instance Segmentation Models

Said Fahri Altindis, Yusuf Dalva, Hamza Pehlivan, Aysegul Dundar

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

[1058] arXiv:2109.01134 (cross-list from cs.CV) [pdf, other]

Title: Learning to Prompt for Vision-Language Models

Kaiyang Zhou, Jingkang Yang, Chen Change Loy, Ziwei Liu

Comments: International Journal of Computer Vision (IJCV), 2022. Update: Adds results on the DOSCO (DOmain Shift in COntext) benchmark

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

[1059] arXiv:2109.01135 (cross-list from cs.CL) [pdf, other]

Title: Sequence-to-Sequence Learning with Latent Neural Grammars

Yoon Kim

Comments: NeurIPS 2021

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

[1060] arXiv:2109.01164 (cross-list from eess.AS) [pdf, other]

Title: Scalable Data Annotation Pipeline for High-Quality Large Speech Datasets Development

Mingkuan Liu, Chi Zhang, Hua Xing, Chao Feng, Monchu Chen, Judith Bishop, Grace Ngapo

Comments: Submitted to NeurIPS 2021 Datasets and Benchmarks Track (Round 2)

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

[1061] arXiv:2109.01178 (cross-list from cs.AI) [pdf, other]

Title: Multi-Agent Inverse Reinforcement Learning: Suboptimal Demonstrations and Alternative Solution Concepts

Sage Bergerson

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

[1062] arXiv:2109.01226 (cross-list from cs.CL) [pdf, other]

Title: So Cloze yet so Far: N400 Amplitude is Better Predicted by Distributional Information than Human Predictability Judgements

James A. Michaelov, Seana Coulson, Benjamin K. Bergen

Comments: Accepted

Journal-ref: IEEE Transactions on Cognitive and Developmental Systems (2022)

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

[1063] arXiv:2109.01229 (cross-list from cs.CL) [pdf, other]

Title: Multimodal Conditionality for Natural Language Generation

Michael Sollami, Aashish Jain

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

[1064] arXiv:2109.01242 (cross-list from cs.CL) [pdf, other]

Title: Entity Linking and Discovery via Arborescence-based Supervised Clustering

Dhruv Agarwal, Rico Angell, Nicholas Monath, Andrew McCallum

Comments: Updated references

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

[1065] arXiv:2109.01246 (cross-list from stat.AP) [pdf, other]

Title: Two Shifts for Crop Mapping: Leveraging Aggregate Crop Statistics to Improve Satellite-based Maps in New Regions

Dan M. Kluger, Sherrie Wang, David B. Lobell

Comments: This is the revised version of the paper which was submitted to Remote Sensing of Environment on May 3, 2021, immediately prior to acceptance for publication

Journal-ref: Remote Sensing of Environment (2021). Volume 262

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

[1066] arXiv:2109.01262 (cross-list from cs.AR) [pdf, other]

Title: On the Accuracy of Analog Neural Network Inference Accelerators

T. Patrick Xiao, Ben Feinberg, Christopher H. Bennett, Venkatraman Prabhakar, Prashant Saxena, Vineet Agrawal, Sapan Agarwal, Matthew J. Marinella

Comments: Changes in v3: modified definition of state-independent error (factor of 2) for fairer comparison to state-proportional. Added more results on INT4 network

Journal-ref: IEEE Circuits and Systems Magazine, vol. 22, no. 4, pp. 26-48, 2022

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

[1067] arXiv:2109.01275 (cross-list from cs.CR) [pdf, other]

Title: A Synergetic Attack against Neural Network Classifiers combining Backdoor and Adversarial Examples

Guanxiong Liu, Issa Khalil, Abdallah Khreishah, NhatHai Phan

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

[1068] arXiv:2109.01313 (cross-list from cs.DC) [pdf, other]

Title: Characterization and Prediction of Deep Learning Workloads in Large-Scale GPU Datacenters

Qinghao Hu, Peng Sun, Shengen Yan, Yonggang Wen, Tianwei Zhang

Comments: This paper has been accepted by the International Conference for High Performance Computing, Networking, Storage, and Analysis (SC21), Nov 14-19, 2021, St. Louis, USA

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

[1069] arXiv:2109.01326 (cross-list from stat.ML) [pdf, other]

Title: Statistical Estimation and Inference via Local SGD in Federated Learning

Xiang Li, Jiadong Liang, Xiangyu Chang, Zhihua Zhang

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

[1070] arXiv:2109.01332 (cross-list from cs.CV) [pdf, other]

Title: Access Control Using Spatially Invariant Permutation of Feature Maps for Semantic Segmentation Models

Hiroki Ito, MaungMaung AprilPyone, Hitoshi Kiya

Comments: To appear in 13th Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2021)

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

[1071] arXiv:2109.01348 (cross-list from eess.SP) [pdf, other]

Title: Ground-Assisted Federated Learning in LEO Satellite Constellations

Nasrin Razmi, Bho Matthiesen, Armin Dekorsy, Petar Popovski

Comments: Submitted to IEEE Wireless Communications Letters

Journal-ref: IEEE Wireless Communications Letters, vol. 11, no. 4, pp. 717-721, April 2022

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

[1072] arXiv:2109.01372 (cross-list from stat.ML) [pdf, other]

Title: Sample Noise Impact on Active Learning

Alexandre Abraham, Léo Dreyfus-Schmidt

Comments: 9 pages, 3 figure, for the code, see this https URL

Journal-ref: IAL workshop, ECML-PKDD 2021

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

[1073] arXiv:2109.01381 (cross-list from cs.CV) [pdf, other]

Title: Segmentation of turbulent computational fluid dynamics simulations with unsupervised ensemble learning

Maarja Bussov, Joonas Nättilä

Comments: 15 pages, 8 figures. Accepted to Signal Processing: Image Communication. Code available from a repository: this https URL

Subjects: Computer Vision and Pattern Recognition (cs.CV); High Energy Astrophysical Phenomena (astro-ph.HE); Machine Learning (cs.LG); Plasma Physics (physics.plasm-ph)

[1074] arXiv:2109.01401 (cross-list from cs.AI) [pdf, other]

Title: CX-ToM: Counterfactual Explanations with Theory-of-Mind for Enhancing Human Trust in Image Recognition Models

Arjun R. Akula, Keze Wang, Changsong Liu, Sari Saba-Sadiya, Hongjing Lu, Sinisa Todorovic, Joyce Chai, Song-Chun Zhu

Comments: Accepted by iScience Cell Press Journal 2021. arXiv admin note: text overlap with arXiv:1909.06907

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

[1075] arXiv:2109.01406 (cross-list from physics.comp-ph) [pdf, other]

Title: An efficient plasma-surface interaction surrogate model for sputtering processes based on autoencoder neural networks

Tobias Gergs, Borislav Borislavov, Jan Trieschmann

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

[1076] arXiv:2109.01413 (cross-list from stat.AP) [pdf, other]

Title: Frequency-Severity Experience Rating based on Latent Markovian Risk Profiles

Robert Matthijs Verschuren

Journal-ref: Insurance: Mathematics and Economics (2022), 107, 379-392

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

[1077] arXiv:2109.01417 (cross-list from cs.AI) [pdf, other]

Title: Event-Based Communication in Distributed Q-Learning

Daniel Jarne Ornia, Manuel Mazo Jr

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

[1078] arXiv:2109.01433 (cross-list from stat.ML) [pdf, other]

Title: Relating the Partial Dependence Plot and Permutation Feature Importance to the Data Generating Process

Christoph Molnar, Timo Freiesleben, Gunnar König, Giuseppe Casalicchio, Marvin N. Wright, Bernd Bischl

Journal-ref: Longo, L. (eds) Explainable Artificial Intelligence. xAI 2023. Communications in Computer and Information Science, vol 1901

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

[1079] arXiv:2109.01445 (cross-list from cs.NI) [pdf, other]

Title: Is Machine Learning Ready for Traffic Engineering Optimization?

Guillermo Bernárdez, José Suárez-Varela, Albert López, Bo Wu, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio

Comments: To appear at IEEE ICNP 2021

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

[1080] arXiv:2109.01467 (cross-list from math.NA) [pdf, other]

Title: Semi-Implicit Neural Solver for Time-dependent Partial Differential Equations

Suprosanna Shit, Ivan Ezhov, Leon Mächler, Abinav R., Jana Lipkova, Johannes C. Paetzold, Florian Kofler, Marie Piraud, Bjoern H. Menze

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

[1081] arXiv:2109.01484 (cross-list from cs.CL) [pdf, other]

Title: Contrastive Representation Learning for Exemplar-Guided Paraphrase Generation

Haoran Yang, Wai Lam, Piji Li

Comments: Findings of EMNLP 2021

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

[1082] arXiv:2109.01514 (cross-list from physics.flu-dyn) [pdf, other]

Title: Towards extraction of orthogonal and parsimonious non-linear modes from turbulent flows

Hamidreza Eivazi, Soledad Le Clainche, Sergio Hoyas, Ricardo Vinuesa

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

[1083] arXiv:2109.01572 (cross-list from cs.CV) [pdf, other]

Title: Using Topological Framework for the Design of Activation Function and Model Pruning in Deep Neural Networks

Yogesh Kochar, Sunil Kumar Vengalil, Neelam Sinha

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

[1084] arXiv:2109.01636 (cross-list from cs.CL) [pdf, other]

Title: Empirical Study of Named Entity Recognition Performance Using Distribution-aware Word Embedding

Xin Chen, Qi Zhao, Xinyang Liu

Comments: Want to correct

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

[1085] arXiv:2109.01661 (cross-list from cs.DC) [pdf, other]

Title: Data science and Machine learning in the Clouds: A Perspective for the Future

Hrishav Bakul Barua

Comments: Preprint submitted for review

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

[1086] arXiv:2109.01667 (cross-list from eess.IV) [pdf, other]

Title: Hierarchical 3D Feature Learning for Pancreas Segmentation

Federica Proietto Salanitri, Giovanni Bellitto, Ismail Irmakci, Simone Palazzo, Ulas Bagci, Concetto Spampinato

Subjects: Image and Video Processing (eess.IV); Machine Learning (cs.LG)

[1087] arXiv:2109.01668 (cross-list from eess.IV) [pdf, other]

Title: How Reliable Are Out-of-Distribution Generalization Methods for Medical Image Segmentation?

Antoine Sanner, Camila Gonzalez, Anirban Mukhopadhyay

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

[1088] arXiv:2109.01690 (cross-list from quant-ph) [pdf, other]

Title: High-quality Thermal Gibbs Sampling with Quantum Annealing Hardware

Jon Nelson, Marc Vuffray, Andrey Y. Lokhov, Tameem Albash, Carleton Coffrin

Journal-ref: Phys. Rev. Applied 17, 044046 (2022)

Subjects: Quantum Physics (quant-ph); Machine Learning (cs.LG)

[1089] arXiv:2109.01691 (cross-list from cs.CL) [pdf, other]

Title: ALLWAS: Active Learning on Language models in WASserstein space

Anson Bastos, Manohar Kaul

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

[1090] arXiv:2109.01693 (cross-list from cs.CV) [pdf, other]

Title: Weakly Supervised Few-Shot Segmentation Via Meta-Learning

Pedro H. T. Gama, Hugo Oliveira, José Marcato Junior, Jefersson A. dos Santos

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

[1091] arXiv:2109.01696 (cross-list from cs.CV) [pdf, other]

Title: Revisiting 3D ResNets for Video Recognition

Xianzhi Du, Yeqing Li, Yin Cui, Rui Qian, Jing Li, Irwan Bello

Comments: 6 pages

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

[1092] arXiv:2109.01745 (cross-list from cs.CV) [pdf, other]

Title: A realistic approach to generate masked faces applied on two novel masked face recognition data sets

Tudor Mare, Georgian Duta, Mariana-Iuliana Georgescu, Adrian Sandru, Bogdan Alexe, Marius Popescu, Radu Tudor Ionescu

Comments: Accepted at NeurIPS 2021

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

[1093] arXiv:2109.01750 (cross-list from cs.GR) [pdf, other]

Title: CodeNeRF: Disentangled Neural Radiance Fields for Object Categories

Wonbong Jang, Lourdes Agapito

Comments: 10 pages, 15 figures, ICCV 2021

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

[1094] arXiv:2109.01754 (cross-list from cs.CL) [pdf, other]

Title: Error Detection in Large-Scale Natural Language Understanding Systems Using Transformer Models

Rakesh Chada, Pradeep Natarajan, Darshan Fofadiya, Prathap Ramachandra

Comments: Accepted to ACL Findings 2021

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

[1095] arXiv:2109.01766 (cross-list from cs.CR) [pdf, other]

Title: SEC4SR: A Security Analysis Platform for Speaker Recognition

Guangke Chen, Zhe Zhao, Fu Song, Sen Chen, Lingling Fan, Yang Liu

Subjects: Cryptography and Security (cs.CR); Machine Learning (cs.LG); Multimedia (cs.MM); Sound (cs.SD); Audio and Speech Processing (eess.AS)

[1096] arXiv:2109.01784 (cross-list from physics.soc-ph) [pdf, other]

Title: Model retraining and information sharing in a supply chain with long-term fluctuating demands

Takahiro Ezaki, Naoto Imura, Katsuhiro Nishinari

Subjects: Physics and Society (physics.soc-ph); Machine Learning (cs.LG); Applications (stat.AP)

[1097] arXiv:2109.01795 (cross-list from cs.GT) [pdf, other]

Title: On the Complexity of Computing Markov Perfect Equilibrium in General-Sum Stochastic Games

Xiaotie Deng, Ningyuan Li, David Mguni, Jun Wang, Yaodong Yang

Comments: This paper has been fully published at National Science Review. Please refer to this https URL for the official version

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

[1098] arXiv:2109.01806 (cross-list from math.OC) [pdf, other]

Title: On Faster Convergence of Scaled Sign Gradient Descent

Xiuxian Li, Kuo-Yi Lin, Li Li, Yiguang Hong, Jie Chen

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

[1099] arXiv:2109.01815 (cross-list from cs.IR) [pdf, other]

Title: Representation Learning for Efficient and Effective Similarity Search and Recommendation

Casper Hansen

Comments: PhD Thesis, School of The Faculty of Science, University of Copenhagen

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

[1100] arXiv:2109.01819 (cross-list from cs.CL) [pdf, other]

Title: Frustratingly Simple Pretraining Alternatives to Masked Language Modeling

Atsuki Yamaguchi, George Chrysostomou, Katerina Margatina, Nikolaos Aletras

Comments: Accepted at EMNLP 2021

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