ICML

Efficient Neural Net Approaches in Metal Casting Defect Detection

Rohit Lal, Bharath Kumar Bolla, Sabeesh Ethiraj

Comments Accepted in International Conference on Machine Learning and Data Engineering (ICMLDE), 2022

Success of Uncertainty-Aware Deep Models Depends on Data Manifold Geometry

Mark Penrod, Harrison Termotto, Varshini Reddy, Jiayu Yao, Finale Doshi-Velez, Weiwei Pan

Journal ref International Conference on Machine Learning. PMLR 162 (2022)

Repeated Environment Inference for Invariant Learning

Aayush Mishra, Anqi Liu

Comments ICML workshop on Spurious Correlations, Invariance and Stability (2022)

Correcting Model Bias with Sparse Implicit Processes

Simón Rodríguez Santana, Luis A. Ortega, Daniel Hernández-Lobato, Bryan Zaldívar

Comments 4 pages, 1 double figure. Included in ICML 2022 workshop "Beyond Bayes: Paths Towards Universal Reasoning Systems". Extension of previous work on Sparse Implicit Processes (arXiv:2110.07618)

Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning

Wei Fu, Chao Yu, Zelai Xu, Jiaqi Yang, Yi Wu

Comments 16 pages, published as a conference paper in ICML 2022

Task-aware Privacy Preservation for Multi-dimensional Data

Jiangnan Cheng, Ao Tang, Sandeep Chinchali

Comments Accepted by 39th International Conference on Machine Learning (ICML 2022)

Adversarial Robustness against Multiple and Single $l_p$-Threat Models via Quick Fine-Tuning of Robust Classifiers

Francesco Croce, Matthias Hein

Comments ICML 2022

Learning with Multiple Complementary Labels

Lei Feng, Takuo Kaneko, Bo Han, Gang Niu, Bo An, Masashi Sugiyama

Comments Corrected typos in Lemma 2, accepted by ICML 2020

Robust SDE-Based Variational Formulations for Solving Linear PDEs via Deep Learning

Lorenz Richter, Julius Berner

Comments Accepted at ICML 2022

Journal ref Proceedings of the 39th International Conference on Machine Learning, 2022, pp. 18649-18666

Abstract Interpretation for Generalized Heuristic Search in Model-Based Planning

Tan Zhi-Xuan, Joshua B. Tenenbaum, Vikash K. Mansinghka

Comments 4 pages, 2 figures. Presented at the ICML 2022 Workshop on Beyond Bayes: Paths Towards Universal Reasoning Systems

Interpretable Distribution Shift Detection using Optimal Transport

Neha Hulkund, Nicolo Fusi, Jennifer Wortman Vaughan, David Alvarez-Melis

Comments Presented at ICML 2022 DataPerf Workshop

Deep Surrogate of Modular Multi Pump using Active Learning

Malathi Murugesan, Kanika Goyal, Laure Barriere, Maura Pasquotti, Giacomo Veneri, Giovanni De Magistris

Journal ref Adaptive Experimental Design and Active Learning in the Real World ICML Workshop - July 22, 2022 - Baltimore, USA

Independent Policy Gradient for Large-Scale Markov Potential Games: Sharper Rates, Function Approximation, and Game-Agnostic Convergence

Dongsheng Ding, Chen-Yu Wei, Kaiqing Zhang, Mihailo R. Jovanović

Comments 55 pages, 6 figures; Revised comments in Sections 3, 5 of published ICML 2022 version, results unchanged

An Optimal Likelihood Free Method for Biological Model Selection

Vincent D. Zaballa, Elliot E. Hui

Comments 2022 International Conference on Machine Learning Workshop on Computational Biology

One Node at a Time: Node-Level Network Classification

Saray Shai, Isaac Jacobs, Peter J. Mucha

Comments 8 pages, 5 figures

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

Efficient Fine-Tuning of Compressed Language Models with Learners

Danilo Vucetic, Mohammadreza Tayaranian, Maryam Ziaeefard, James J. Clark, Brett H. Meyer, Warren J. Gross

Comments 8 pages, 9 figures, 2 tables, presented at ICML 2022 workshop on Hardware-Aware Efficient Training (HAET 2022)

A Tighter Analysis of Spectral Clustering, and Beyond

Peter Macgregor, He Sun

Comments A preliminary version of this work appeared at ICML 2022

Recognizing and Extracting Cybersecurtity-relevant Entities from Text

Casey Hanks, Michael Maiden, Priyanka Ranade, Tim Finin, Anupam Joshi

Journal ref Workshop on Machine Learning for Cybersecurity, 2022 International Conference on Machine Learning

Neural Basis Functions for Accelerating Solutions to High Mach Euler Equations

David Witman, Alexander New, Hicham Alkendry, Honest Mrema

Comments Published at ICML 2022 AI for Science workshop: https://openreview.net/forum?id=dvqjD3peY5S

Curvature-informed multi-task learning for graph networks

Alexander New, Michael J. Pekala, Nam Q. Le, Janna Domenico, Christine D. Piatko, Christopher D. Stiles

Comments Published at the ICML 2022 AI for Science workshop: https://openreview.net/forum?id=m5RYtApKFOg

Robustness Implies Generalization via Data-Dependent Generalization Bounds

Kenji Kawaguchi, Zhun Deng, Kyle Luh, Jiaoyang Huang

Comments Accepted by ICML 2022, and selected for ICML long presentation (top 2% of submissions)

Stochastic Deep Networks with Linear Competing Units for Model-Agnostic Meta-Learning

Konstantinos Kalais, Sotirios Chatzis

Comments Proc. ICML 2022

Journal ref PMLR 162:10586-10597, 2022

UniRank: Unimodal Bandit Algorithm for Online Ranking

Camille-Sovanneary Gauthier, Romaric Gaudel, Elisa Fromont

Journal ref Complex Feedback in Online Learning Workshop at the 39th International Conference on Machine Learning, Jul 2022, Baltimore, United States

Unimodal Mono-Partite Matching in a Bandit Setting

Romaric Gaudel, Matthieu Rodet

Journal ref Complex Feedback in Online Learning Workshop at the 39th International Conference on Machine Learning, Jul 2022, Baltimore, United States

Context-Aware Drift Detection

Oliver Cobb, Arnaud Van Looveren

Comments 25 pages, 26 figures

Journal ref Proceedings of the 39th International Conference on Machine Learning, PMLR 162:4087-4111, 2022

GLaM: Efficient Scaling of Language Models with Mixture-of-Experts

Nan Du, Yanping Huang, Andrew M. Dai, Simon Tong, Dmitry Lepikhin, Yuanzhong Xu, Maxim Krikun, Yanqi Zhou, Adams Wei Yu, Orhan Firat, Barret Zoph, Liam Fedus, Maarten Bosma, Zongwei Zhou, Tao Wang, Yu Emma Wang, Kellie Webster, Marie Pellat, Kevin Robinson, Kathleen Meier-Hellstern, Toju Duke, Lucas Dixon, Kun Zhang, Quoc V Le, Yonghui Wu, Zhifeng Chen, Claire Cui

Comments Accepted to ICML 2022

Locally Supervised Learning with Periodic Global Guidance

Hasnain Irshad Bhatti, Jaekyun Moon

Comments Accepted at ICML 2022 Hardware Aware Efficient Training (HAET) Workshop

Estimating Cosmological Constraints from Galaxy Cluster Abundance using Simulation-Based Inference

Moonzarin Reza, Yuanyuan Zhang, Brian Nord, Jason Poh, Aleksandra Ciprijanovic, Louis Strigari

Comments Accepted at the ICML 2022 Workshop on Machine Learning for Astrophysics

Certifying Out-of-Domain Generalization for Blackbox Functions

Maurice Weber, Linyi Li, Boxin Wang, Zhikuan Zhao, Bo Li, Ce Zhang

Comments 39th International Conference on Machine Learning (ICML) 2022

On the Finite-Time Complexity and Practical Computation of Approximate Stationarity Concepts of Lipschitz Functions

Lai Tian, Kaiwen Zhou, Anthony Man-Cho So

Comments 20 pages, 3 figures, ICML 2022