ICML

Description Based Text Classification with Reinforcement Learning

Duo Chai, Wei Wu, Qinghong Han, Fei Wu, Jiwei Li

Comments Accepted by ICML 2020

Recht-Ré Noncommutative Arithmetic-Geometric Mean Conjecture is False

Zehua Lai, Lek-Heng Lim

Comments 10 pages

Journal ref Proceedings of the 37th International Conference on Machine Learning, Vienna, Austria, PMLR 108, 2020

Graph Random Neural Features for Distance-Preserving Graph Representations

Daniele Zambon, Cesare Alippi, Lorenzo Livi

Comments to be published in Proceedings of the 37th International Conference on Machine Learning, 2020

Probing Emergent Semantics in Predictive Agents via Question Answering

Abhishek Das, Federico Carnevale, Hamza Merzic, Laura Rimell, Rosalia Schneider, Josh Abramson, Alden Hung, Arun Ahuja, Stephen Clark, Gregory Wayne, Felix Hill

Comments ICML 2020

Provable guarantees for decision tree induction: the agnostic setting

Guy Blanc, Jane Lange, Li-Yang Tan

Comments 20 pages, to appear in ICML 2020

Second-Order Provable Defenses against Adversarial Attacks

Sahil Singla, Soheil Feizi

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

A Personalized Affective Memory Neural Model for Improving Emotion Recognition

Pablo Barros, German I. Parisi, Stefan Wermter

Comments Accepted by the International Conference on Machine Learning 2019 (ICML2019)

Journal ref in PMLR 97:485-494 (2019)

Maximum Entropy-Regularized Multi-Goal Reinforcement Learning

Rui Zhao, Xudong Sun, Volker Tresp

Comments Published in International Conference on Machine Learning (ICML 2019), Long Beach, USA. arXiv admin note: text overlap with arXiv:1902.08039

Journal ref PMLR 97:7553-7562, 2019

Variance Loss in Variational Autoencoders

Andrea Asperti

Comments Article accepted at the Sixth International Conference on Machine Learning, Optimization, and Data Science. July 19-23, 2020 - Certosa di Pontignano, Siena, Italy

Towards Cover Song Detection with Siamese Convolutional Neural Networks

Marko Stamenovic

Comments Code available at https://github.com/markostam/coversongs-dual-convnet

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

Analysis of Railway Accidents' Narratives Using Deep Learning

Mojtaba Heidarysafa, Kamran Kowsari, Laura E. Barnes, Donald E. Brown

Comments accepted in IEEE International Conference on Machine Learning and Applications (IEEE ICMLA)

A Deep Learning based Wearable Healthcare IoT Device for AI-enabled Hearing Assistance Automation

Fraser Young, L Zhang, Richard Jiang, Han Liu, Conor Wall

Journal ref The 2020 International Conference on Machine Learning and Cybernetics

Optic-Net: A Novel Convolutional Neural Network for Diagnosis of Retinal Diseases from Optical Tomography Images

Sharif Amit Kamran, Sourajit Saha, Ali Shihab Sabbir, Alireza Tavakkoli

Comments 8 pages. Accepted to 18th IEEE International Conference on Machine Learning and Applications (ICMLA 2019)

Deep Ensembles on a Fixed Memory Budget: One Wide Network or Several Thinner Ones?

Nadezhda Chirkova, Ekaterina Lobacheva, Dmitry Vetrov

Comments Under review by the International Conference on Machine Learning (ICML 2020)

Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics

Arsenii Kuznetsov, Pavel Shvechikov, Alexander Grishin, Dmitry Vetrov

Comments Under review by the International Conference on Machine Learning

Area Attention

Yang Li, Lukasz Kaiser, Samy Bengio, Si Si

Comments @InProceedings{pmlr-v97-li19e, title = {Area Attention}, author = {Li, Yang and Kaiser, Lukasz and Bengio, Samy and Si, Si}, booktitle = {Proceedings of the 36th International Conference on Machine Learning}, pages = {3846--3855}, year = {2019}, volume = {97}, series = {Proceedings of Machine Learning Research}, publisher = {PMLR} }

Journal ref ICML 2019

3D Printed Brain-Controlled Robot-Arm Prosthetic via Embedded Deep Learning from sEMG Sensors

David Lonsdale, Li Zhang, Richard Jiang

Comments The 2020 International Conference on Machine Learning and Cybernetics (ICMLC), http://www.icmlc.com/

Journal ref ICMLC 2020

High-Dimensional Robust Mean Estimation via Gradient Descent

Yu Cheng, Ilias Diakonikolas, Rong Ge, Mahdi Soltanolkotabi

Comments Under submission to ICML'20

Generalized Reinforcement Meta Learning for Few-Shot Optimization

Raviteja Anantha, Stephen Pulman, Srinivas Chappidi

Comments 10 pages, 4 figures, 4 tables, 2 algorithms, ICML conference

Stabilizing DARTS with Amended Gradient Estimation on Architectural Parameters

Kaifeng Bi, Changping Hu, Lingxi Xie, Xin Chen, Longhui Wei, Qi Tian

Comments 22 pages, 12 figures, submitted to ICML 2020, updated experiments on Penn Treebank

Some people aren't worth listening to: periodically retraining classifiers with feedback from a team of end users

Joshua Lockhart, Samuel Assefa, Tucker Balch, Manuela Veloso

Comments Presented at the 2019 ICML Workshop on AI in Finance: Applications and Infrastructure for Multi-Agent Learning. Long Beach, CA

Stochastic Gradient Push for Distributed Deep Learning

Mahmoud Assran, Nicolas Loizou, Nicolas Ballas, Michael Rabbat

Comments ICML 2019

Journal ref International Conference on Machine Learning 97 (2019) 344-353

A multi-label, dual-output deep neural network for automated bug triaging

Christopher A. Choquette-Choo, David Sheldon, Jonny Proppe, John Alphonso-Gibbs, Harsha Gupta

Comments 8 pages, 2 figures, 9 tables

Journal ref 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA) 937-944

Correlated Variational Auto-Encoders

Da Tang, Dawen Liang, Tony Jebara, Nicholas Ruozzi

Comments International Conference on Machine Learning (ICML), 2019

Attentive cross-modal paratope prediction

Andreea Deac, Petar Veličković, Pietro Sormanni

Comments To appear at the 2018 ICML/IJCAI Workshop on Computational Biology. 5 pages, 6 figures

Robust and Scalable Models of Microbiome Dynamics

Travis E. Gibson, Georg K. Gerber

Comments ICML 2018

Journal ref Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1763-1772, 2018

Real-time Classification from Short Event-Camera Streams using Input-filtering Neural ODEs

Giorgio Giannone, Asha Anoosheh, Alessio Quaglino, Pierluca D'Oro, Marco Gallieri, Jonathan Masci

Comments Submitted to ICML 2020

Bayesian Counterfactual Risk Minimization

Ben London, Ted Sandler

Comments Extended version of the paper published at the 2019 International Conference on Machine Learning (ICML). Contains some additional citations; fewer deferred proofs; and slightly more detailed analysis. Latest revision fixes the order of authors in a reference

Do Deep Minds Think Alike? Selective Adversarial Attacks for Fine-Grained Manipulation of Multiple Deep Neural Networks

Zain Khan, Jirong Yi, Raghu Mudumbai, Xiaodong Wu, Weiyu Xu

Comments 9 pages, submitted to ICML 2020

Active Learning in Video Tracking

Sima Behpour

Journal ref In International Conference on Machine Learning, pp. 563-572. 2019