ICML

Cloud Failure Prediction with Hierarchical Temporal Memory: An Empirical Assessment

Oliviero Riganelli, Paolo Saltarel, Alessandro Tundo, Marco Mobilio, Leonardo Mariani

Comments For associated video presentation, see https://youtu.be/Y6hTjEYAa-w , for associated slides, see https://www.slideshare.net/OlivieroRiganelli/cloud-failure-prediction-with-hierarchical-temporal-memory-an-empirical-assessment . In Proc. of the IEEE International Conference on Machine Learning and Applications (ICMLA 2021)

Revisiting clustering as matrix factorisation on the Stiefel manifold

Stéphane Chrétien, Benjamin Guedj

Comments Accepted at the LOD 2020 Conference -- The Sixth International Conference on Machine Learning, Optimization, and Data Science

Journal ref LOD 2020

Unsupervised Representation Learning via Neural Activation Coding

Yookoon Park, Sangho Lee, Gunhee Kim, David M. Blei

Comments Published in International Conference on Machine Learning (ICML), 2021

Dyadic Sex Composition and Task Classification Using fNIRS Hyperscanning Data

Liam A. Kruse, Allan L. Reiss, Mykel J. Kochenderfer, Stephanie Balters

Comments 20th IEEE International Conference on Machine Learning and Applications

On the Effectiveness of Mode Exploration in Bayesian Model Averaging for Neural Networks

John T. Holodnak, Allan B. Wollaber

Comments Presented at the ICML 2021 Workshop on Uncertainty and Robustness in Deep Learning

Communication and Energy Efficient Slimmable Federated Learning via Superposition Coding and Successive Decoding

Hankyul Baek, Won Joon Yun, Soyi Jung, Jihong Park, Mingyue Ji, Joongheon Kim, Mehdi Bennis

Comments 11 pages, 10 Figures, presented at the International Workshop on Federated Learning for User Privacy and Data Confidentiality in Conjunction with ICML 2021 (FL-ICML'21). arXiv admin note: substantial text overlap with arXiv:2112.02543

Size-Invariant Graph Representations for Graph Classification Extrapolations

Beatrice Bevilacqua, Yangze Zhou, Bruno Ribeiro

Comments Accepted at ICML 2021

Automatic Risk Adaptation in Distributional Reinforcement Learning

Frederik Schubert, Theresa Eimer, Bodo Rosenhahn, Marius Lindauer

Journal ref Reinforcement Learning for Real Life Workshop, ICML 2021

Self-Paced Context Evaluation for Contextual Reinforcement Learning

Theresa Eimer, André Biedenkapp, Frank Hutter, Marius Lindauer

Journal ref Proceedings of Machine Learning Research 139 (ICML 2021)

Label-Only Membership Inference Attacks

Christopher A. Choquette-Choo, Florian Tramer, Nicholas Carlini, Nicolas Papernot

Comments 16 pages, 11 figures, 2 tables Revision 2: 19 pages, 12 figures, 3 tables. Improved text and additional experiments. Final ICML paper

Inference and Sampling of $K_{33}$-free Ising Models

Valerii Likhosherstov, Yury Maximov, Michael Chertkov

Comments 20 pages

Journal ref 36-th International Conference on Machine Learning, PMLR 97, 2019

Graph Neural Networks Inspired by Classical Iterative Algorithms

Yongyi Yang, Tang Liu, Yangkun Wang, Jinjing Zhou, Quan Gan, Zhewei Wei, Zheng Zhang, Zengfeng Huang, David Wipf

Comments accepted as long oral for ICML 2021

Differentiable Spatial Planning using Transformers

Devendra Singh Chaplot, Deepak Pathak, Jitendra Malik

Comments Published at ICML 2021. See project webpage at https://devendrachaplot.github.io/projects/spatial-planning-transformers

Bayesian Optimization over Hybrid Spaces

Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa

Comments 14 pages, 18 figures

Journal ref Thirty-ninth International Conference on Machine Learning (ICML) 2021

OptNet: Differentiable Optimization as a Layer in Neural Networks

Brandon Amos, J. Zico Kolter

Comments ICML 2017

A Comprehensive Study on Various Statistical Techniques for Prediction of Movie Success

Manav Agarwal, Shreya Venugopal, Rishab Kashyap, R Bharathi

Comments 14 pages, 12 figures Conference: 2nd International Conference on Machine Learning Techniques and Data Science (MLDS 2021)

Warped Convolutions: Efficient Invariance to Spatial Transformations

João F. Henriques, Andrea Vedaldi

Comments Proceedings of the 34th International Conference on Machine Learning, Sydney, Australia, PMLR 70, 2017

BP-Net: Efficient Deep Learning for Continuous Arterial Blood Pressure Estimation using Photoplethysmogram

Rishi Vardhan K, Vedanth S, Poojah G, Abhishek K, Nitish Kumar M, Vineeth Vijayaraghavan

Comments 6 pages, 2 figures, Accepted at 20th IEEE International Conference on Machine Learning and Applications (ICMLA) 2021

K-nearest neighbour and dynamic time warping for online signature verification

Mohammad Saleem, Bence Kovari

Comments 2nd International Conference on Machine Learning Techniques and Data Science (MLDS 2021) ISPN: 978-1-925953-52-7

Computational Complexity of Normalizing Constants for the Product of Determinantal Point Processes

Naoto Ohsaka, Tatsuya Matsuoka

Comments 59 pages. This is an extended version of our conference paper presented at ICML 2020

Automated Antenna Testing Using Encoder-Decoder-based Anomaly Detection

Hans Hao-Hsun Hsu, Jiawen Xu, Ravi Sama, Matthias Kovatsch

Comments 20th IEEE International Conference on Machine Learning and Applications (ICMLA 2021)

KNAS: Green Neural Architecture Search

Jingjing Xu, Liang Zhao, Junyang Lin, Rundong Gao, Xu Sun, Hongxia Yang

Comments Accepted by ICML

How could Neural Networks understand Programs?

Dinglan Peng, Shuxin Zheng, Yatao Li, Guolin Ke, Di He, Tie-Yan Liu

Journal ref ICML 2021

End-to-End Optimized Arrhythmia Detection Pipeline using Machine Learning for Ultra-Edge Devices

Sideshwar J B, Sachin Krishan T, Vishal Nagarajan, Shanthakumar S, Vineeth Vijayaraghavan

Comments 8 pages, 9 figures, Accepted at 20th IEEE International Conference on Machine Learning and Applications (ICMLA) 2021

HoughCL: Finding Better Positive Pairs in Dense Self-supervised Learning

Yunsung Lee, Teakgyu Hong, Han-Cheol Cho, Junbum Cha, Seungryong Kim

Comments Accepted to ICML 2021 Workshop: Self-Supervised Learning for Reasoning and Perception

You Only Sample (Almost) Once: Linear Cost Self-Attention Via Bernoulli Sampling

Zhanpeng Zeng, Yunyang Xiong, Sathya N. Ravi, Shailesh Acharya, Glenn Fung, Vikas Singh

Comments Proceedings of the 38th ICML (2021)

Model-based Reinforcement Learning for Continuous Control with Posterior Sampling

Ying Fan, Yifei Ming

Comments Accepted to ICML 2021

Journal ref Proceedings of the 38th International Conference on Machine Learning, PMLR 139:3078-3087, 2021

CVSS-BERT: Explainable Natural Language Processing to Determine the Severity of a Computer Security Vulnerability from its Description

Mustafizur Shahid, Hervé Debar

Comments 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA), Dec 2021, Pasadena, United States

Loss Surface Simplexes for Mode Connecting Volumes and Fast Ensembling

Gregory W. Benton, Wesley J. Maddox, Sanae Lotfi, Andrew Gordon Wilson

Comments ICML 2021

OmniLytics: A Blockchain-based Secure Data Market for Decentralized Machine Learning

Jiacheng Liang, Songze Li, Bochuan Cao, Wensi Jiang, Chaoyang He

Comments An initial version of the article has been published in International Workshop on Federated Learning for User Privacy and Data Confidentiality in Conjunction with ICML 2021(http://federated-learning.org/fl-icml-2021/). This version has been submmited to AAAI'22