A Quantum Field Theory of Representation Learning
Comments Presented at the ICML 2019 Workshop on Theoretical Physics for Deep Learning
期刊&会议
ICML
International Conference on Machine Learning · 会议 · Machine Learning
Online Meta-Learning
Comments ICML 2019. The first two authors contributed equally. Expanded Appendix
Transfer Learning for Related Reinforcement Learning Tasks via Image-to-Image Translation
Comments Proceedings of the 36th International Conference on Machine Learning (ICML 2019)
Journal ref Proceedings of the 36th International Conference on Machine Learning, PMLR 97:2063-2072, 2019
A Case Study of Deep-Learned Activations via Hand-Crafted Audio Features
Comments The 2018 Joint Workshop on Machine Learning for Music, The Federated Artificial Intelligence Meeting (FAIM), Joint workshop program of ICML, IJCAI/ECAI, and AAMAS, Stockholm, Sweden, Saturday, July 14th, 2018
An Online Topic Modeling Framework with Topics Automatically Labeled
Comments 5 pages, 3 figures, ICML
Neural Network Attributions: A Causal Perspective
Comments 17 pages, 10 Figures. Accepted in the Proceedings of the 36th International Conference on Machine Learning (ICML2019). Modifications: Added github link to code and fixed a typo in Fig. 3
Journal ref Proceedings of the 36th International Conference on Machine Learning 97 (2019) 981-990
Learning the Arrow of Time
Comments A shorter version of this work was presented at the Theoretical Phyiscs for Deep Learning Workshop, ICML 2019
Predicting Treatment Initiation from Clinical Time Series Data via Graph-Augmented Time-Sensitive Model
Comments 5 pages, 3 figures, accepted by ICML 2019 Time Series Workshop
Rare Disease Detection by Sequence Modeling with Generative Adversarial Networks
Comments International Conference on Machine Learning (ICML) 2019 time series workshop accepted paper
Learning a Compressed Sensing Measurement Matrix via Gradient Unrolling
Comments 17 pages, 7 tables, 8 figures, published in ICML 2019; part of this work was done while Shanshan was an intern at Google Research, New York
An Open Source AutoML Benchmark
Comments Accepted paper at the AutoML Workshop at ICML 2019. Code: https://github.com/openml/automlbenchmark/ Accompanying website: https://openml.github.io/automlbenchmark/
The Practical Challenges of Active Learning: Lessons Learned from Live Experimentation
Comments Presented at 2019 ICML Workshop on Human in the Loop Learning (HILL 2019), Long Beach, USA
Layer rotation: a surprisingly powerful indicator of generalization in deep networks?
Comments Extended version of paper presented at ICML workshop "Identifying and Understanding Deep Learning Phenomena"
Alternating Randomized Block Coordinate Descent
Comments Version 1 appeared Proc. ICML'18. v1 -> v2: added remarks about how accelerated alternating minimization follows directly from the results that appeared in ICML'18; no new technical results were needed for this
The Impact of Feature Causality on Normal Behaviour Models for SCADA-based Wind Turbine Fault Detection
Comments Presented at ICML 2019 Workshop: Climate Change: How Can AI Help?
Anomaly Detection with Joint Representation Learning of Content and Connection
Comments 2019 International Conference on Machine Learning Workshop on AI for Social Good
How to Evaluate Trading Strategies: Single Agent Market Replay or Multiple Agent Interactive Simulation?
Journal ref Presented at the 2019 ICML Workshop on AI in Finance: Applications and Infrastructure for Multi-Agent Learning. Long Beach, CA
A Utility-Preserving GAN for Face Obscuration
Comments 6 pages, 5 figures, presented at the ICML 2019 Worksop on Synthetic Realities: Deep Learning for Detecting AudioVisual Fakes
Supervise Thyself: Examining Self-Supervised Representations in Interactive Environments
Comments Accepted to the 2019 ICML Workshop on Self-Supervised Learning
VolMap: A Real-time Model for Semantic Segmentation of a LiDAR surrounding view
Comments Accepted at Thirty-sixth International Conference on Machine Learning (ICML 2019) Workshop on AI for Autonomous Driving
Probabilistic Neural-symbolic Models for Interpretable Visual Question Answering
Comments ICML 2019 Camera Ready + Appendix
Riemannian adaptive stochastic gradient algorithms on matrix manifolds
Comments In International Conference on Machine Learning (ICML), PMLR 97:3262-3271, 2019
Freeway Merging in Congested Traffic based on Multipolicy Decision Making with Passive Actor Critic
Comments 6 pages, 5 figures. ICML Workshop on Machine Learning for Autonomous Vehicles
Representation Learning of Music Using Artist, Album, and Track Information
Comments International Conference on Machine Learning (ICML) 2019, Machine Learning for Music Discovery Workshop
On improving deep learning generalization with adaptive sparse connectivity
Comments ICML 2019 Workshop on Understanding and Improving Generalization in Deep Learning
'In-Between' Uncertainty in Bayesian Neural Networks
Comments Presented at the ICML 2019 Workshop on Uncertainty and Robustness in Deep Learning
SelectiveNet: A Deep Neural Network with an Integrated Reject Option
Comments Accepted to ICML 2019
Generative Adversarial Privacy
Comments Talk presentation at Privacy in Machine Learning and Artificial Intelligence (PiMLAI) Workshop, ICML 2018
A Self-supervised Approach to Hierarchical Forecasting with Applications to Groupwise Synthetic Controls
Comments ICML Time Series workshop 2019. 6 pages, 1 figure, 1 table
On Multi-Agent Learning in Team Sports Games
Comments Presented at ICML 2019 Workshop on Imitation, Intent, and Interaction (I3). arXiv admin note: substantial text overlap with arXiv:1903.10545
