Decoupled Learning of Environment Characteristics for Safe Exploration
Comments 4 pages, 4 figures, ICML 2017 workshop on Reliable Machine Learning in the Wild
期刊&会议
ICML
International Conference on Machine Learning · 会议 · Machine Learning
Beyond the technical challenges for deploying Machine Learning solutions in a software company
Comments Human in the Loop Machine Learning Workshop, International Conference on Machine Learning, Sydney, Australia, 2017
GPLAC: Generalizing Vision-Based Robotic Skills using Weakly Labeled Images
Comments ICCV 2017. Also accepted at ICML 2017 Workshop on Lifelong Learning: A Reinforcement Learning Approach. Webpage: https://people.eecs.berkeley.edu/~avisingh/iccv17/
Deep Value Networks Learn to Evaluate and Iteratively Refine Structured Outputs
Comments Published at ICML 2017
Interpretable Low-Dimensional Regression via Data-Adaptive Smoothing
Comments 4 pages, 1 figure presented at 2017 ICML Workshop on Human Interpretability in Machine Learning (WHI 2017), Sydney, NSW, Australia
e-QRAQ: A Multi-turn Reasoning Dataset and Simulator with Explanations
Comments 7 pages, 3 figures, presented at 2017 ICML Workshop on Human Interpretability in Machine Learning (WHI 2017), Sydney, NSW, Australia
Fairness in Reinforcement Learning
Comments The short version of this paper appears in the proceedings of ICML-17
On Calibration of Modern Neural Networks
Comments ICML 2017
Variational Generative Stochastic Networks with Collaborative Shaping
Comments Old paper, from ICML 2015
Low-Rank Hidden State Embeddings for Viterbi Sequence Labeling
Comments 4 pages, ICML 2017 DeepStruct Workshop
Improved Representation Learning for Predicting Commonsense Ontologies
Comments 4 pages, ICML 2017 DeepStruct Workshop
A Lightweight Front-end Tool for Interactive Entity Population
Comments ICML Workshop on Interactive Machine Learning
Hierarchical Subtask Discovery With Non-Negative Matrix Factorization
Comments 7 pages, Accepted at Lifelong Learning: A Reinforcement Learning Approach Workshop, ICML, Sydney, Australia, 2017
Generalization and Equilibrium in Generative Adversarial Nets (GANs)
Comments This is an updated version of an ICML'17 paper with the same title. The main difference is that in the ICML'17 version the pure equilibrium result was only proved for Wasserstein GAN. In the current version the result applies to most reasonable training objectives. In particular, Theorem 4.3 now applies to both original GAN and Wasserstein GAN
Multiple Change Point Analysis: Fast Implementation And Strong Consistency
Comments A preliminary version of this work was presented in ICML 2016 Anomaly Detection Workshop
Using Program Induction to Interpret Transition System Dynamics
Comments Presented at 2017 ICML Workshop on Human Interpretability in Machine Learning (WHI 2017), Sydney, NSW, Australia. arXiv admin note: substantial text overlap with arXiv:1705.08320
Learning Algorithms for Active Learning
Comments Accepted for publication at ICML 2017
Bayesian Sparsification of Recurrent Neural Networks
Comments Published in Workshop on Learning to Generate Natural Language, ICML, 2017
Human in the Loop: Interactive Passive Automata Learning via Evidence-Driven State-Merging Algorithms
Comments 4 pages, presented at the Human in the Loop workshop at ICML 2017
Active Learning for Accurate Estimation of Linear Models
Comments 37 pages, 8 figures, International Conference on Machine Learning, ICML 2017
General Latent Feature Modeling for Data Exploration Tasks
Comments presented at 2017 ICML Workshop on Human Interpretability in Machine Learning (WHI 2017), Sydney, NSW, Australia
Deep Forecast: Deep Learning-based Spatio-Temporal Forecasting
Comments Accepted to the ICML 2017, Time Series Workshop. arXiv admin note: text overlap with arXiv:1503.01210
Conditional generation of multi-modal data using constrained embedding space mapping
Comments 7 pages, 4 figures, ICML 2017 Workshop on Implicit Models
Interpreting Classifiers through Attribute Interactions in Datasets
Comments presented at 2017 ICML Workshop on Human Interpretability in Machine Learning (WHI 2017), Sydney, NSW, Australia
Traffic scene recognition based on deep cnn and vlad spatial pyramids
Comments 6 pages,4 figures, 2017 9th International Conference on Machine Learning and Computing (ICMLC 2017)
Programming with a Differentiable Forth Interpreter
Comments 34th International Conference on Machine Learning (ICML 2017)
A Distributional Perspective on Reinforcement Learning
Comments ICML 2017
An Infinite Hidden Markov Model With Similarity-Biased Transitions
Comments 16 pages, 4 figures, accepted to ICML 2017, includes supplemental appendix
ShortScience.org - Reproducing Intuition
Comments To appear in International Conference on Machine Learning 2017 Workshop on Reproducibility in Machine Learning
Density Level Set Estimation on Manifolds with DBSCAN
Journal ref Proceedings of the 34th International Conference on Machine Learning, PMLR 70: 1684-1693 (2017)
