ICML

Mitigating the Effects of Non-Identifiability on Inference for Bayesian Neural Networks with Latent Variables

Yaniv Yacoby, Weiwei Pan, Finale Doshi-Velez

Comments Accepted at JMLR 2022. Previously accepted at ICML's Uncertainty and Robustness in Deep Learning Workshop 2019

Journal ref Journal of Machine Learning Research 23 (2022) 1-54

On the interplay of adversarial robustness and architecture components: patches, convolution and attention

Francesco Croce, Matthias Hein

Comments Presented at the "New Frontiers in Adversarial Machine Learning" Workshop at ICML 2022

Nearest Neighbor and Kernel Survival Analysis: Nonasymptotic Error Bounds and Strong Consistency Rates

George H. Chen

Comments International Conference on Machine Learning (ICML 2019); this draft includes minor corrections

Deep Network Approximation in Terms of Intrinsic Parameters

Zuowei Shen, Haizhao Yang, Shijun Zhang

Journal ref Proceedings of the 39th International Conference on Machine Learning, PMLR 162:19909-19934, 2022

Revisiting the tree edit distance and its backtracing: A tutorial

Benjamin Paaßen

Comments Supplementary material for the ICML 2018 paper: Tree Edit Distance Learning via Adaptive Symbol Embeddings

FedNest: Federated Bilevel, Minimax, and Compositional Optimization

Davoud Ataee Tarzanagh, Mingchen Li, Christos Thrampoulidis, Samet Oymak

Comments ICML 2022 (accepted as a long presentation), 34 pages, 6 figures

Journal ref Proceedings of the 39th International Conference on Machine Learning, PMLR 162:21146-21179, 2022

Challenges and Pitfalls of Bayesian Unlearning

Ambrish Rawat, James Requeima, Wessel Bruinsma, Richard Turner

Comments 5 pages, 3 figures, Updatable ML (UpML) Workshop, International Conference on Machine Learning (ICML) 2022

Implicit Bias of Linear Equivariant Networks

Hannah Lawrence, Kristian Georgiev, Andrew Dienes, Bobak T. Kiani

Comments 21 pages, 19 figures

Journal ref ICML 2022: 12096-12125

Reconstruction of Long-Term Historical Demand Data

Reshmi Ghosh, Michael Craig, H. Scott Matthews, Constantine Samaras, Laure Berti-Equille

Comments Accepted to Tackling Climate Change with Machine Learning Workshop, ICML 2021

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

Saliency Guided Adversarial Training for Learning Generalizable Features with Applications to Medical Imaging Classification System

Xin Li, Yao Qiang, Chengyin Li, Sijia Liu, Dongxiao Zhu

Comments 9 pages, 3 figures

Journal ref AdvML Frontiers workshop at 39th International Conference on Machine Learning (ICML), Baltimore, Maryland, USA, 2022

Sparse Mixed Linear Regression with Guarantees: Taming an Intractable Problem with Invex Relaxation

Adarsh Barik, Jean Honorio

Journal ref International Conference on Machine Learning (ICML), 2022

A Simple Unified Framework for High Dimensional Bandit Problems

Wenjie Li, Adarsh Barik, Jean Honorio

Journal ref International Conference on Machine Learning (ICML), 2022

The Distributed Discrete Gaussian Mechanism for Federated Learning with Secure Aggregation

Peter Kairouz, Ziyu Liu, Thomas Steinke

Comments International Conference on Machine Learning (ICML), 2021

Exploring Adversarial Attacks and Defenses in Vision Transformers trained with DINO

Javier Rando, Nasib Naimi, Thomas Baumann, Max Mathys

Comments ICML 2022 Workshop paper accepted at AdvML Frontiers

Stochastic Frank-Wolfe for Constrained Finite-Sum Minimization

Geoffrey Négiar, Gideon Dresdner, Alicia Tsai, Laurent El Ghaoui, Francesco Locatello, Robert M. Freund, Fabian Pedregosa

Comments Proceedings of the 37th International Conference on Machine Learning, 2020

Neural-Symbolic Models for Logical Queries on Knowledge Graphs

Zhaocheng Zhu, Mikhail Galkin, Zuobai Zhang, Jian Tang

Comments ICML 2022

Automatic counting of mounds on UAV images: combining instance segmentation and patch-level correction

Majid Nikougoftar Nategh, Ahmed Zgaren, Wassim Bouachir, Nizar Bouguila

Comments 8 pages; IEEE International Conference on Machine Learning and Applications

Threat Detection In Self-Driving Vehicles Using Computer Vision

Umang Goenka, Aaryan Jagetia, Param Patil, Akshay Singh, Taresh Sharma, Poonam Saini

Comments Presented in 3rd International Conference on Machine Learning, Image Processing, Network Security and Data Sciences MIND-2021

AI-based Monitoring and Response System for Hospital Preparedness towards COVID-19 in Southeast Asia

Tushar Goswamy, Naishadh Parmar, Ayush Gupta, Raunak Shah, Vatsalya Tandon, Varun Goyal, Sanyog Gupta, Karishma Laud, Shivam Gupta, Sudhanshu Mishra, Ashutosh Modi

Comments 5 pages, 5 figures. Accepted to the ICML 2020 Workshop on Healthcare Systems, Population Health, and the Role of Health-Tech

Variational Sparse Coding with Learned Thresholding

Kion Fallah, Christopher J. Rozell

Comments ICML 2022

Model-Based Reinforcement Learning with SINDy

Rushiv Arora, Bruno Castro da Silva, Eliot Moss

Comments 8 pages, 1 figure, 1 table, 1 algorithm, presented at the Decision Awareness in Reinforcement Learning workshop held at the International Conference on Machine Learning, 22 July 2022, Baltimore MD, USA

Online Active Regression

Cheng Chen, Yi Li, Yiming Sun

Comments A preliminary version appeared in the Proceedings of the 39th International Conference on Machine Learning (ICML 2022), PMLR 162, pp 3320--3335, 2022. v2: optimal dependence on $ε$ in query complexity

SpeqNets: Sparsity-aware Permutation-equivariant Graph Networks

Christopher Morris, Gaurav Rattan, Sandra Kiefer, Siamak Ravanbakhsh

Comments ICML 2022, fixed typo in Observation 1

Positive-Negative Momentum: Manipulating Stochastic Gradient Noise to Improve Generalization

Zeke Xie, Li Yuan, Zhanxing Zhu, Masashi Sugiyama

Comments ICML 2021; 20 pages; 13 figures; We fixed some typos in the updated version

The PWLR Graph Representation: A Persistent Weisfeiler-Lehman scheme with Random Walks for Graph Classification

Sun Woo Park, Yun Young Choi, Dosang Joe, U Jin Choi, Youngho Woo

Comments Accepted to the ICML 2022 Workshop on Topology, Algebra, and Geometry in Machine Learning

Detection and Classification of Brain tumors Using Deep Convolutional Neural Networks

Gopinath Balaji, Ranit Sen, Harsh Kirty

Comments 11 pages, 14 figures, Presented this paper and published only abstract in the 'International conference on Machine learning Big data management Cloud and Computing (ICMBDC)' on 1st January 2022, Proceeding Detail available in https://digitalxplore.org/proceeding.php?pid=1210

An Access Control Method with Secret Key for Semantic Segmentation Models

Teru Nagamori, Ryota Iijima, Hitoshi Kiya

Comments To appear in the International Conference on Machine Learning and Cybernetics 2022 (ICMLC 2022)

Geometrical Homogeneous Clustering for Image Data Reduction

Shril Mody, Janvi Thakkar, Devvrat Joshi, Siddharth Soni, Rohan Patil, Nipun Batra

Comments Accepted at Subset ML Workshop @ ICML 2021 as a poster

Ammunition Component Classification Using Deep Learning

Hadi Ghahremannezhad, Chengjun Liu, Hang Shi

Comments Conference: International Conference on Machine Learning and Data Mining MLDM 2022 link: http://www.ibai-publishing.org/html/proceedings_2022/pdf/proceedings_mldm_2022.pdf ISBN: 978-3-942952-93-4

Journal ref In Machine Learning and Data Mining in Pattern Recognition, MLDM, pages 63--75, (2022), ibai publishing

Lagrangian Method for Q-Function Learning (with Applications to Machine Translation)

Huang Bojun

Comments ICML 2022