ICML

Lipschitz Continuity in Model-based Reinforcement Learning

Kavosh Asadi, Dipendra Misra, Michael L. Littman

Comments Accepted for the 35th International Conference on Machine Learning (ICML 2018)

Learning Plannable Representations with Causal InfoGAN

Thanard Kurutach, Aviv Tamar, Ge Yang, Stuart Russell, Pieter Abbeel

Comments ICML / IJCAI / AAMAS 2018 Workshop on Planning and Learning (PAL-18)

Troubling Trends in Machine Learning Scholarship

Zachary C. Lipton, Jacob Steinhardt

Comments Presented at ICML 2018: The Debates

Detecting and Correcting for Label Shift with Black Box Predictors

Zachary C. Lipton, Yu-Xiang Wang, Alex Smola

Comments Published at the International Conference on Machine Learning (ICML) 2018

Memorize or generalize? Searching for a compositional RNN in a haystack

Adam Liška, Germán Kruszewski, Marco Baroni

Comments AEGAP Workshop (ICML 2018)

Attend Before you Act: Leveraging human visual attention for continual learning

Khimya Khetarpal, Doina Precup

Comments Lifelong Learning: A Reinforcement Learning Approach (LLARLA) Workshop, ICML 2018

Iterative Amortized Inference

Joseph Marino, Yisong Yue, Stephan Mandt

Comments International Conference on Machine Learning (ICML) 2018

Smoothed Action Value Functions for Learning Gaussian Policies

Ofir Nachum, Mohammad Norouzi, George Tucker, Dale Schuurmans

Comments ICML 2018

Investigating Human Priors for Playing Video Games

Rachit Dubey, Pulkit Agrawal, Deepak Pathak, Thomas L. Griffiths, Alexei A. Efros

Comments ICML 2018

Journal ref ICML 2018

A Hybrid of Deep Audio Feature and i-vector for Artist Recognition

Jiyoung Park, Donghyun Kim, Jongpil Lee, Sangeun Kum, Juhan Nam

Comments Joint Workshop on Machine Learning for Music, the 34th International Conference on Machine Learning (ICML), 2018

Combining Heterogeneously Labeled Datasets For Training Segmentation Networks

Jana Kemnitz, Christian F. Baumgartner, Wolfgang Wirth, Felix Eckstein, Sebastian K. Eder, Ender Konukoglu

Comments Accepted for presentation at 9th International Conference on Machine Learning in Medical Imaging (MLMI 2018)

Semi-Amortized Variational Autoencoders

Yoon Kim, Sam Wiseman, Andrew C. Miller, David Sontag, Alexander M. Rush

Comments ICML 2018

Network Global Testing by Counting Graphlets

Jiashun Jin, Zheng Tracy Ke, Shengming Luo

Journal ref Proceedings of the 35th International Conference on Machine Learning (ICML 2018), Stockholm, Sweden, PMLR Vol. 80, Pages 2338-2346, 2018

A Boo(n) for Evaluating Architecture Performance

Ondrej Bajgar, Rudolf Kadlec, Jan Kleindienst

Comments ICML 2018

Journal ref Proceedings of the 35th International Conference on Machine Learning (ICML 2018). Volume 80 of the Proceedings of Machine Learning Research (PMLR)

Automatic Goal Generation for Reinforcement Learning Agents

Carlos Florensa, David Held, Xinyang Geng, Pieter Abbeel

Comments Accepted at ICML 2018, Proceedings of the 35th International Conference on Machine Learning, Stockholm, Sweden, PMLR 80, 2018

Decoupled Parallel Backpropagation with Convergence Guarantee

Zhouyuan Huo, Bin Gu, Qian Yang, Heng Huang

Comments ICML 2018

Does Distributionally Robust Supervised Learning Give Robust Classifiers?

Weihua Hu, Gang Niu, Issei Sato, Masashi Sugiyama

Comments ICML 2018 camera-ready (final submission version)

Sequential sampling of Gaussian process latent variable models

Martin Tegner, Benjamin Bloem-Reddy, Stephen Roberts

Comments In 2018 ICML Workshop on Tractable Probabilistic Models (TPM 2018)

Learning Qualitatively Diverse and Interpretable Rules for Classification

Andrew Slavin Ross, Weiwei Pan, Finale Doshi-Velez

Comments Presented at 2018 ICML Workshop on Human Interpretability in Machine Learning (WHI 2018), Stockholm, Sweden (revision fixes minor issues)

Attention-Guided Curriculum Learning for Weakly Supervised Classification and Localization of Thoracic Diseases on Chest Radiographs

Yuxing Tang, Xiaosong Wang, Adam P. Harrison, Le Lu, Jing Xiao, Ronald M. Summers

Comments 9th International Conference on Machine Learning in Medical Imaging (MLMI 2018) In conjunction with MICCAI 2018

Generative Temporal Models with Spatial Memory for Partially Observed Environments

Marco Fraccaro, Danilo Jimenez Rezende, Yori Zwols, Alexander Pritzel, S. M. Ali Eslami, Fabio Viola

Comments ICML 2018

Estimation of Markov Chain via Rank-Constrained Likelihood

Xudong Li, Mengdi Wang, Anru Zhang

Comments Accepted at ICML 2018

Journal ref Proceedings of the 35th International Conference on Machine Learning (ICML2018), Stockholm, Sweden, PMLR 80, 2018

Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search

Arber Zela, Aaron Klein, Stefan Falkner, Frank Hutter

Comments 11 pages, 3 figures, 3 tables, ICML 2018 AutoML Workshop

Journal ref ICML 2018 AutoML Workshop

Airline Passenger Name Record Generation using Generative Adversarial Networks

Alejandro Mottini, Alix Lheritier, Rodrigo Acuna-Agost

Comments ICML 2018 - workshop on Theoretical Foundations and Applications of Deep Generative Models

The Hidden Vulnerability of Distributed Learning in Byzantium

El Mahdi El Mhamdi, Rachid Guerraoui, Sébastien Rouault

Comments Accepted to ICML 2018 as a long talk

Backscatter-assisted Relaying in Wireless Powered Communications Network

Yuan Zheng, Suzhi Bi, Xiaohui Lin

Comments This paper has been accepted by the International Conference on Machine Learning and Intelligent Communications (MLICOM), Hangzhou, China, July 2018

Learning to Search with MCTSnets

Arthur Guez, Théophane Weber, Ioannis Antonoglou, Karen Simonyan, Oriol Vinyals, Daan Wierstra, Rémi Munos, David Silver

Comments ICML 2018 (camera-ready version)

Model-Robust Counterfactual Prediction Method

Dave Zachariah, Petre Stoica

Journal ref ICML Workshop, ML for Causal Inference, Counterfactual Prediction, and Autonomous Action, 2018

ML-Schema: Exposing the Semantics of Machine Learning with Schemas and Ontologies

Gustavo Correa Publio, Diego Esteves, Agnieszka Ławrynowicz, Panče Panov, Larisa Soldatova, Tommaso Soru, Joaquin Vanschoren, Hamid Zafar

Comments Poster, selected for the 2nd Reproducibility in Machine Learning Workshop at ICML 2018, Stockholm, Sweden

Improving DNN-based Music Source Separation using Phase Features

Joachim Muth, Stefan Uhlich, Nathanael Perraudin, Thomas Kemp, Fabien Cardinaux, Yuki Mitsufuji

Comments 7 pages, 9 figures, Joint Workshop on Machine Learning for Music at ICML, IJCAI/ECAI and AAMAS, 2018