Automatic Machine Learning by Pipeline Synthesis using Model-Based Reinforcement Learning and a Grammar
Comments ICML Workshop on Automated Machine Learning
期刊&会议
ICML
International Conference on Machine Learning · 会议 · Machine Learning
Submodular Observation Selection and Information Gathering for Quadratic Models
Comments To be published in proceedings of International Conference on Machine Learning (ICML) 2019
Continual Learning in Deep Neural Network by Using a Kalman Optimiser
Comments accepted by ICML workshop
Active embedding search via noisy paired comparisons
Comments ICML 2019
Batch Virtual Adversarial Training for Graph Convolutional Networks
Comments ICML 2019 Workshop on Learning and Reasoning with Graph-Structured Data
Mixture Models for Diverse Machine Translation: Tricks of the Trade
Comments ICML 2019 camera-ready
Population-based Global Optimisation Methods for Learning Long-term Dependencies with RNNs
Comments To appear at ICML 2019 Time Series Workshop
Learning Discrete and Continuous Factors of Data via Alternating Disentanglement
Comments Accepted and to appear at ICML 2019
Learning to Prove Theorems via Interacting with Proof Assistants
Comments Accepted to ICML 2019
The Journey is the Reward: Unsupervised Learning of Influential Trajectories
Comments ICML'19 ERL Workshop
Improving Neural Network Quantization without Retraining using Outlier Channel Splitting
Comments 10 pages; update to ICML camera-ready version
MeanSum: A Neural Model for Unsupervised Multi-document Abstractive Summarization
Comments Accepted to ICML 2019
Detecting Adversarial Examples and Other Misclassifications in Neural Networks by Introspection
Comments 5 pages, 2 figures, Presented at the ICML 2019 Workshop on Uncertainty and Robustness in Deep Learning
Time-Smoothed Gradients for Online Forecasting
Comments ICML 2019, time series workshop
Deep Residual Output Layers for Neural Language Generation
Comments To appear in ICML 2019
Toward Controlling Discrimination in Online Ad Auctions
Comments This paper has been accepted for presentation at the ICML 2019 conference
Deep Counterfactual Regret Minimization
Journal ref International Conference on Machine Learning (ICML), 2019
Factorised Neural Relational Inference for Multi-Interaction Systems
Comments 4 page workshop paper accepted for presentation at the ICML 2019 Workshop on Learning and Reasoning with Graph-Structured Representations with 6 pages of supplementary materials and figures
Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search
Comments Accepted to ICML 2019. Code is available at https://github.com/shirakawas/ASNG-NAS
A Bi-Directional Co-Design Approach to Enable Deep Learning on IoT Devices
Comments Accepted by the ICML 2019 Workshop on On-Device Machine Learning & Compact Deep Neural Network Representations (ODML-CDNNR)
DeepCABAC: Context-adaptive binary arithmetic coding for deep neural network compression
Comments ICML 2019, Joint Workshop on On-Device Machine Learning and Compact Deep Neural Network Representations (ODML-CDNNR)
Random Walks on Hypergraphs with Edge-Dependent Vertex Weights
Comments Accepted to ICML 2019
Internet Congestion Control via Deep Reinforcement Learning
Comments 10 pages, accepted to ICML 2019
Zero-Shot Knowledge Distillation in Deep Networks
Comments Accepted in ICML 2019, codes will be available at https://github.com/vcl-iisc/ZSKD
Perceptual Values from Observation
Comments Accepted into the Workshop on Self-Supervised Learning at ICML 2019
Predicting Model Failure using Saliency Maps in Autonomous Driving Systems
Comments Presented at ICML 2019 Workshop on Uncertainty and Robustness in Deep Learning
Evolving Rewards to Automate Reinforcement Learning
Comments Accepted to 6th AutoML@ICML
RaFM: Rank-Aware Factorization Machines
Comments 9 pages, 4 figures, accepted by ICML 2019
LR-GLM: High-Dimensional Bayesian Inference Using Low-Rank Data Approximations
Comments Accepted at ICML 2019
Deep Compressed Sensing
Comments ICML 2019
