Machine Learning

Authors and titles for September 2021

[651] arXiv:2109.10538 [pdf, other]

Title: Index $t$-SNE: Tracking Dynamics of High-Dimensional Datasets with Coherent Embeddings

Gaëlle Candel, David Naccache

Comments: International Conference on Big Data Visual Analytics (ICBDVA), Venice, Italy, August 12-13 2021 this https URL Best paper award

Journal-ref: International Journal of Computer and Systems Engineering (2021), 15(8), 500 - 512

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

[652] arXiv:2109.10552 [pdf, other]

Title: MEPG: A Minimalist Ensemble Policy Gradient Framework for Deep Reinforcement Learning

Qiang He, Huangyuan Su, Chen Gong, Xinwen Hou

Comments: 19 pages, 7 figures

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

[653] arXiv:2109.10569 [pdf, other]

Title: The Curse Revisited: When are Distances Informative for the Ground Truth in Noisy High-Dimensional Data?

Robin Vandaele, Bo Kang, Tijl De Bie, Yvan Saeys

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

[654] arXiv:2109.10573 [pdf, other]

Title: An automatic differentiation system for the age of differential privacy

Dmitrii Usynin, Alexander Ziller, Moritz Knolle, Andrew Trask, Kritika Prakash, Daniel Rueckert, Georgios Kaissis

Comments: 8 pages, Accepted to the NEURIPS 2021 Privacy Preserving Machine Learning Workshop

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

[655] arXiv:2109.10591 [pdf, other]

Title: Bayesian Optimization with Clustering and Rollback for CNN Auto Pruning

Hanwei Fan, Jiandong Mu, Wei Zhang

Comments: Accepted by ECCV 2022

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

[656] arXiv:2109.10593 [pdf, other]

Title: Emulating Aerosol Microphysics with Machine Learning

Paula Harder, Duncan Watson-Parris, Dominik Strassel, Nicolas Gauger, Philip Stier, Janis Keuper

Subjects: Machine Learning (cs.LG)

[657] arXiv:2109.10596 [pdf, other]

Title: Fully probabilistic design for knowledge fusion between Bayesian filters under uniform disturbances

Lenka Kuklišová Pavelková (1), Ladislav Jirsa (1), Anthony Quinn (1 and 2) ((1) Czech Academy of Sciences, Institute of Information Theory and Automation, Czech Republic, (2) Trinity College Dublin, the University of Dublin, Ireland)

Comments: 39 pages

Subjects: Machine Learning (cs.LG)

[658] arXiv:2109.10598 [pdf, other]

Title: Diarisation using location tracking with agglomerative clustering

Jeremy H. M. Wong, Igor Abramovski, Xiong Xiao, Yifan Gong

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

[659] arXiv:2109.10640 [pdf, other]

Title: LDC-VAE: A Latent Distribution Consistency Approach to Variational AutoEncoders

Xiaoyu Chen, Chen Gong, Qiang He, Xinwen Hou, Yu Liu

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

[660] arXiv:2109.10642 [pdf, other]

Title: Decentralized Learning of Tree-Structured Gaussian Graphical Models from Noisy Data

Akram Hussain

Comments: 32 pages, there are more authors of this paper

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

[661] arXiv:2109.10683 [pdf, other]

Title: Adaptive Neural Message Passing for Inductive Learning on Hypergraphs

Devanshu Arya, Deepak K. Gupta, Stevan Rudinac, Marcel Worring

Subjects: Machine Learning (cs.LG); Multimedia (cs.MM)

[662] arXiv:2109.10696 [pdf, other]

Title: CC-Cert: A Probabilistic Approach to Certify General Robustness of Neural Networks

Mikhail Pautov, Nurislam Tursynbek, Marina Munkhoeva, Nikita Muravev, Aleksandr Petiushko, Ivan Oseledets

Comments: In Proceedings of AAAI-22, the Thirty-Sixth AAAI Conference on Artificial Intelligence

Journal-ref: 36 AAAI Conference on Artificial Intelligence AAAI-2022

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

[663] arXiv:2109.10736 [pdf, other]

Title: Estimation Error Correction in Deep Reinforcement Learning for Deterministic Actor-Critic Methods

Baturay Saglam, Enes Duran, Dogan C. Cicek, Furkan B. Mutlu, Suleyman S. Kozat

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

[664] arXiv:2109.10757 [pdf, other]

Title: Unsupervised Movement Detection in Indoor Positioning Systems of Production Halls

Jonathan Flossdorf, Anne Meyer, Dmitri Artjuch, Jaques Schneider, Carsten Jentsch

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

[665] arXiv:2109.10770 [pdf, other]

Title: Exploring Adversarial Examples for Efficient Active Learning in Machine Learning Classifiers

Honggang Yu, Shihfeng Zeng, Teng Zhang, Ing-Chao Lin, Yier Jin

Subjects: Machine Learning (cs.LG)

[666] arXiv:2109.10781 [pdf, other]

Title: Introducing Symmetries to Black Box Meta Reinforcement Learning

Louis Kirsch, Sebastian Flennerhag, Hado van Hasselt, Abram Friesen, Junhyuk Oh, Yutian Chen

Comments: AAAI 2022

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Neural and Evolutionary Computing (cs.NE); Machine Learning (stat.ML)

[667] arXiv:2109.10795 [pdf, html, other]

Title: Neural network relief: a pruning algorithm based on neural activity

Aleksandr Dekhovich, David M.J. Tax, Marcel H.F. Sluiter, Miguel A. Bessa

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

[668] arXiv:2109.10797 [pdf, other]

Title: Improved Multi-label Classification with Frequent Label-set Mining and Association

Anwesha Law, Ashish Ghosh

Subjects: Machine Learning (cs.LG)

[669] arXiv:2109.10803 [pdf, other]

Title: Multi-Slice Clustering for 3-order Tensor Data

Dina Faneva Andriantsiory, Joseph Ben Geloun, Mustapha Lebbah

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

[670] arXiv:2109.10813 [pdf, other]

Title: A Workflow for Offline Model-Free Robotic Reinforcement Learning

Aviral Kumar, Anikait Singh, Stephen Tian, Chelsea Finn, Sergey Levine

Comments: CoRL 2021. Project Website: this https URL. First two authors contributed equally

Subjects: Machine Learning (cs.LG)

[671] arXiv:2109.10817 [pdf, other]

Title: Causal Inference in Non-linear Time-series using Deep Networks and Knockoff Counterfactuals

Wasim Ahmad, Maha Shadaydeh, Joachim Denzler

Journal-ref: IEEE International Conference on Machine Learning and Applications (ICMLA) 2021

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

[672] arXiv:2109.10824 [pdf, other]

Title: Learning by Examples Based on Multi-level Optimization

Shentong Mo, Pengtao Xie

Subjects: Machine Learning (cs.LG)

[673] arXiv:2109.10847 [pdf, other]

Title: Small-Bench NLP: Benchmark for small single GPU trained models in Natural Language Processing

Kamal Raj Kanakarajan, Bhuvana Kundumani, Malaikannan Sankarasubbu

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

[674] arXiv:2109.10888 [pdf, other]

Title: A Physics inspired Functional Operator for Model Uncertainty Quantification in the RKHS

Rishabh Singh, Jose C. Principe

Comments: Abstract and title modified for more clarity. Updated version of arXiv:2103.01374

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

[675] arXiv:2109.10896 [pdf, other]

Title: Updating Embeddings for Dynamic Knowledge Graphs

Christopher Wewer, Florian Lemmerich, Michael Cochez

Subjects: Machine Learning (cs.LG)

[676] arXiv:2109.10915 [pdf, other]

Title: The CAMELS Multifield Dataset: Learning the Universe's Fundamental Parameters with Artificial Intelligence

Francisco Villaescusa-Navarro, Shy Genel, Daniel Angles-Alcazar, Leander Thiele, Romeel Dave, Desika Narayanan, Andrina Nicola, Yin Li, Pablo Villanueva-Domingo, Benjamin Wandelt, David N. Spergel, Rachel S. Somerville, Jose Manuel Zorrilla Matilla, Faizan G. Mohammad, Sultan Hassan, Helen Shao, Digvijay Wadekar, Michael Eickenberg, Kaze W.K. Wong, Gabriella Contardo, Yongseok Jo, Emily Moser, Erwin T. Lau, Luis Fernando Machado Poletti Valle, Lucia A. Perez, Daisuke Nagai, Nicholas Battaglia, Mark Vogelsberger

Comments: 17 pages, 1 figure. Third paper of a series of four. Hundreds of thousands of labeled 2D maps and 3D grids from thousands of simulated universes publicly available at this https URL

Subjects: Machine Learning (cs.LG); Cosmology and Nongalactic Astrophysics (astro-ph.CO); Astrophysics of Galaxies (astro-ph.GA); Instrumentation and Methods for Astrophysics (astro-ph.IM); Computer Vision and Pattern Recognition (cs.CV)

[677] arXiv:2109.10935 [pdf, other]

Title: Robust Generalization of Quadratic Neural Networks via Function Identification

Kan Xu, Hamsa Bastani, Osbert Bastani

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

[678] arXiv:2109.10964 [pdf, other]

Title: Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces

Samuel Daulton, David Eriksson, Maximilian Balandat, Eytan Bakshy

Comments: To appear at UAI 2022. 24 pages

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

[679] arXiv:2109.10966 [pdf, other]

Title: A Profile-Based Binary Feature Extraction Method Using Frequent Itemsets for Improving Coronary Artery Disease Diagnosis

Ali Yavari, Amir Rajabzadeh, Fardin Abdali-Mohammadi

Comments: 11 pages, 2 figures

Subjects: Machine Learning (cs.LG)

[680] arXiv:2109.11041 [pdf, other]

Title: Security Analysis of Capsule Network Inference using Horizontal Collaboration

Adewale Adeyemo, Faiq Khalid, Tolulope A. Odetola, Syed Rafay Hasan

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

[681] arXiv:2109.11043 [pdf, other]

Title: Learning Predictive and Interpretable Timeseries Summaries from ICU Data

Nari Johnson, Sonali Parbhoo, Andrew Slavin Ross, Finale Doshi-Velez

Comments: 10 pages, 3 figures, AMIA 2021 Annual Symposium

Subjects: Machine Learning (cs.LG)

[682] arXiv:2109.11052 [pdf, other]

Title: On Bonus-Based Exploration Methods in the Arcade Learning Environment

Adrien Ali Taïga, William Fedus, Marlos C. Machado, Aaron Courville, Marc G. Bellemare

Comments: Full version of arXiv:1908.02388

Journal-ref: Published as a conference paper at ICLR 2020

Subjects: Machine Learning (cs.LG)

[683] arXiv:2109.11053 [pdf, other]

Title: Automated Feature-Topic Pairing: Aligning Semantic and Embedding Spaces in Spatial Representation Learning

Dongjie Wang, Kunpeng Liu, David Mohaisen, Pengyang Wang, Chang-Tien Lu, Yanjie Fu

Comments: SIGSPATIAL 2021

Subjects: Machine Learning (cs.LG)

[684] arXiv:2109.11076 [pdf, other]

Title: Predicting Stress in Remote Learning via Advanced Deep Learning Technologies

Daben Kyle Liu

Comments: 6 pages, 6 figures, 1 equation

Subjects: Machine Learning (cs.LG)

[685] arXiv:2109.11125 [pdf, other]

Title: Adversarial Transfer Attacks With Unknown Data and Class Overlap

Luke E. Richards, André Nguyen, Ryan Capps, Steven Forsythe, Cynthia Matuszek, Edward Raff

Comments: to appear in Proceedings of the 14th ACM Workshop on Artificial Intelligence and Security

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

[686] arXiv:2109.11126 [pdf, other]

Title: A Framework for Cluster and Classifier Evaluation in the Absence of Reference Labels

Robert J. Joyce, Edward Raff, Charles Nicholas

Comments: to appear in Proceedings of the 14th ACM Workshop on Artificial Intelligence and Security

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

[687] arXiv:2109.11160 [pdf, other]

Title: Toward a Unified Framework for Debugging Concept-based Models

Andrea Bontempelli, Fausto Giunchiglia, Andrea Passerini, Stefano Teso

Comments: 11 pages, 1 figure. Accepted at the AAAI-22 Workshop on Interactive Machine Learning

Subjects: Machine Learning (cs.LG); Software Engineering (cs.SE)

[688] arXiv:2109.11192 [pdf, other]

Title: Predicting the Timing of Camera Movements From the Kinematics of Instruments in Robotic-Assisted Surgery Using Artificial Neural Networks

Hanna Kossowsky, Ilana Nisky

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

[689] arXiv:2109.11200 [pdf, other]

Title: Secure PAC Bayesian Regression via Real Shamir Secret Sharing

Jaron Skovsted Gundersen, Bulut Kuskonmaz, Rafael Wisniewski

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

[690] arXiv:2109.11201 [pdf, other]

Title: Multi-view Contrastive Self-Supervised Learning of Accounting Data Representations for Downstream Audit Tasks

Marco Schreyer, Timur Sattarov, Damian Borth

Comments: 8 pages (excl. appendix), 4 Figures, 3 Tables

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

[691] arXiv:2109.11282 [pdf, other]

Title: Unbiased Loss Functions for Multilabel Classification with Missing Labels

Erik Schultheis, Rohit Babbar

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

[692] arXiv:2109.11301 [pdf, other]

Title: A Survey on Cost Types, Interaction Schemes, and Annotator Performance Models in Selection Algorithms for Active Learning in Classification

Marek Herde, Denis Huseljic, Bernhard Sick, Adrian Calma

Journal-ref: IEEE Access 9 (2021) 166970-166989

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

[693] arXiv:2109.11319 [pdf, other]

Title: Active Learning for Argument Strength Estimation

Nataliia Kees, Michael Fromm, Evgeniy Faerman, Thomas Seidl

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

[694] arXiv:2109.11323 [pdf, other]

Title: Federated Feature Selection for Cyber-Physical Systems of Systems

Pietro Cassarà, Alberto Gotta, Lorenzo Valerio

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

[695] arXiv:2109.11328 [pdf, other]

Title: Reinforcement Learning Under Algorithmic Triage

Eleni Straitouri, Adish Singla, Vahid Balazadeh Meresht, Manuel Gomez-Rodriguez

Subjects: Machine Learning (cs.LG)

[696] arXiv:2109.11338 [pdf, other]

Title: Orthogonal Graph Neural Networks

Kai Guo, Kaixiong Zhou, Xia Hu, Yu Li, Yi Chang, Xin Wang

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

[697] arXiv:2109.11354 [pdf, other]

Title: Arbitrary-Depth Universal Approximation Theorems for Operator Neural Networks

Annan Yu, Chloé Becquey, Diana Halikias, Matthew Esmaili Mallory, Alex Townsend

Comments: 12 pages

Subjects: Machine Learning (cs.LG); Classical Analysis and ODEs (math.CA); Numerical Analysis (math.NA)

[698] arXiv:2109.11375 [pdf, other]

Title: Stochastic Normalizing Flows for Inverse Problems: a Markov Chains Viewpoint

Paul Hagemann, Johannes Hertrich, Gabriele Steidl

Journal-ref: SIAM/ASA Journal on Uncertainty Quantification, vol. 10 (3), pp. 1162-1190, 2022

Subjects: Machine Learning (cs.LG); Probability (math.PR)

[699] arXiv:2109.11377 [pdf, other]

Title: WRENCH: A Comprehensive Benchmark for Weak Supervision

Jieyu Zhang, Yue Yu, Yinghao Li, Yujing Wang, Yaming Yang, Mao Yang, Alexander Ratner

Comments: NeurIPS 2021 Datasets and Benchmarks Track

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

[700] arXiv:2109.11383 [pdf, other]

Title: Fast Density Estimation for Density-based Clustering Methods

Difei Cheng, Ruihang Xu, Bo Zhang, Ruinan Jin

Comments: 12 pages, 35 figures, 1 table

Subjects: Machine Learning (cs.LG)