Adaptive Neural Trees
Comments International Conference on Machine Learning 2019
期刊&会议
ICML
International Conference on Machine Learning · 会议 · Machine Learning
The Anisotropic Noise in Stochastic Gradient Descent: Its Behavior of Escaping from Sharp Minima and Regularization Effects
Comments ICML 2019 camera ready
Kernelized Capsule Networks
Comments Paper accepted to the ICML 2019 Workshop on Understanding and Improving Generalization in Deep Learning
Unsupervised Representation Learning of DNA Sequences
Comments Accepted at 2019 ICML Workshop on Computational Biology
Prediction of Workplace Injuries
Comments AI for Social Good (AISG) Workshop at ICML 2019
Unsupervised Temporal Clustering to Monitor the Performance of Alternative Fueling Infrastructure
Journal ref International Conference on Machine Learning 2019
Improving Exploration in Soft-Actor-Critic with Normalizing Flows Policies
Comments INNF workshop, International Conference on Machine Learning 2019, Long Beach CA, USA
Efficient 8-Bit Quantization of Transformer Neural Machine Language Translation Model
Comments To appear at the Joint Workshop on On-Device Machine Learning & Compact Deep Neural Network Representations, 36th International Conference on Machine Learning, Long Beach, California, 2019
Distribution-dependent and Time-uniform Bounds for Piecewise i.i.d Bandits
Comments Proceedings of the Reinforcement Learning for Real Life (RL4RealLife) Workshop in the 36th International Conference on Machine Learning, Long Beach, California, USA, 2019
Journal ref Proceedings of the Reinforcement Learning for Real Life (RL4RealLife) Workshop in the 36th International Conference on Machine Learning, Long Beach, California, USA, 2019
Imperceptible, Robust, and Targeted Adversarial Examples for Automatic Speech Recognition
Comments International Conference on Machine Learning (ICML), 2019
DeepMDP: Learning Continuous Latent Space Models for Representation Learning
Comments 13 pages main text, 16 pages appendix. ICML 2019
Unified framework for modeling multivariate distributions in biological sequences
Comments 2019 ICML Workshop on Computational Biology
Flexibly Fair Representation Learning by Disentanglement
Journal ref Proceedings of the International Conference on Machine Learning (ICML), 2019
Gradio: Hassle-Free Sharing and Testing of ML Models in the Wild
Comments Presented at 2019 ICML Workshop on Human in the Loop Learning (HILL 2019), Long Beach, USA
Teaching AI to Explain its Decisions Using Embeddings and Multi-Task Learning
Comments presented at 2019 ICML Workshop on Human in the Loop Learning (HILL 2019), Long Beach, USA. arXiv admin note: substantial text overlap with arXiv:1805.11648
Deep Q-Learning for Directed Acyclic Graph Generation
Comments Accepted to Learning and Reasoning with Graph-Structured Representations, ICML 2019 Workshop
Graph Learning Network: A Structure Learning Algorithm
Comments Accepted for publication at ICML 2019 Workshop on Learning and Reasoning with Graph-Structured Data. Code available at https://gitlab.com/mipl/graph-learning-network
AUTOVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss
Comments To Appear in Thirty-sixth International Conference on Machine Learning (ICML 2019)
Active Learning for Decision-Making from Imbalanced Observational Data
Comments Published in Proceedings of the 36th International Conference on Machine Learning (ICML) 2019. 15 pages (10 paper + 5 supplementary), 7 figures
Sample-Optimal Parametric Q-Learning Using Linearly Additive Features
Comments Accepted to ICML, 2019
Mean Field Theory of Activation Functions in Deep Neural Networks
Comments Presented at the ICML 2019 Workshop on Theoretical Physics forDeep Learning
Cubic-Spline Flows
Comments Appeared at the 1st Workshop on Invertible Neural Networks and Normalizing Flows at ICML 2019
Exploration with Unreliable Intrinsic Reward in Multi-Agent Reinforcement Learning
Comments Accepted to the 2nd Exploration in Reinforcement Learning Workshop at the International Conference on Machine Learning 2019
Automated Speech Generation from UN General Assembly Statements: Mapping Risks in AI Generated Texts
Comments 5 pages
Journal ref International Conference on Machine Learning AI for Social Good Workshop, Long Beach, United States, 2019
Enumeration of Distinct Support Vectors for Interactive Decision Making
Comments presented at 2019 ICML Workshop on Human in the Loop Learning (HILL 2019), Long Beach, USA
Generalized Linear Rule Models
Comments Published in the Proceedings of the 36th International Conference on Machine Learning (ICML), PMLR 97:6687-6696, 2019. 17 pages, 7 figures
Hierarchical Annotation of Images with Two-Alternative-Forced-Choice Metric Learning
Comments presented at 2019 ICML Workshop on Human in the Loop Learning (HILL 2019), Long Beach, USA
Unsupervised Label Noise Modeling and Loss Correction
Comments Accepted to ICML 2019
Decoding Molecular Graph Embeddings with Reinforcement Learning
Comments Presented at the ICML 2019 Workshop on Learning and Reasoning with Graph-Structured Data. Copyright 2019 by the author(s)
Learning to Infer Program Sketches
Comments Accepted to ICML 2019
