Hierarchical Verification for Adversarial Robustness
Comments Published at ICML 2020
期刊&会议
ICML
International Conference on Machine Learning · 会议 · Machine Learning
Causal Effect Estimation and Optimal Dose Suggestions in Mobile Health
Comments Accepted for ICML 2020
Landscape Connectivity and Dropout Stability of SGD Solutions for Over-parameterized Neural Networks
Comments Proceedings of the 37th International Conference on Machine Learning (ICML)
A Fourier State Space Model for Bayesian ODE Filters
Comments 5 pages, 2 figures, ICML Workshop on Invertible Neural Networks, Normalizing Flows, and Explicit Likelihood Models
Designing Differentially Private Estimators in High Dimensions
Comments 9 pages, 3 figures, presented at the ICML 2020 Workshop on Economics of Privacy and Data Labor
Efficient Graph-Based Active Learning with Probit Likelihood via Gaussian Approximations
Comments Accepted in ICML Workshop on Real World Experiment Design and Active Learning 2020
PackIt: A Virtual Environment for Geometric Planning
Comments Accepted to ICML 2020
Operation-Aware Soft Channel Pruning using Differentiable Masks
Comments ICML 2020
Robust Hierarchical Graph Classification with Subgraph Attention
Comments A shorter version of this work was accepted and presented at ICML 2020 (non-archival) Workshop on Graph Representation Learning and Beyond (GRL+) with the title "Hierarchically Attentive Graph Pooling with Subgraph Attention"
Learning to Prune Deep Neural Networks via Reinforcement Learning
Comments Accepted at the ICML 2020 Workshop on Automated Machine Learning (AutoML 2020)
Incorporating Music Knowledge in Continual Dataset Augmentation for Music Generation
Comments 2 pages, 2 figures, Machine Learning for Media Discovery (ML4MD) Workshop at ICML 2020
Exhaustive Neural Importance Sampling applied to Monte Carlo event generation
Comments Published in Physical Review D 102, 013003 (2020). Appeared at the ICML 2020 Workshop on Invertible Neural Networks, Normalizing Flows, and Explicit Likelihood Models (INNF+ 2020)
Journal ref Phys. Rev. D 102, 013003 (2020)
Training Deep Energy-Based Models with f-Divergence Minimization
Comments ICML 2020
Reinforcement Learning for Integer Programming: Learning to Cut
Comments Accepted at International Conference on Machine Learning (ICML) 2020
A Hierarchical Approach to Scaling Batch Active Search Over Structured Data
Comments Presented at the 2020 ICML Workshop on Real World Experiment Design and Active Learning
Time Series Source Separation with Slow Flows
Comments INNF+ Workshop, ICML 2020
Reinforcement Communication Learning in Different Social Network Structures
Journal ref 1st Workshop on Language in Reinforcement Learning, ICML 2020
Quick Question: Interrupting Users for Microtasks with Reinforcement Learning
Comments Presented at the 2nd Workshop on Human in the Loop Learning in ICML 2020
PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization
Comments Added results from mixed+stochastic model, test-set overlapping analysis; Code link added; Accepted for ICML 2020. arXiv admin note: text overlap with arXiv:1605.06560, arXiv:1205.2395, arXiv:0902.4351, arXiv:1610.09932, arXiv:nucl-ex/0512029 by other authors
Practical Bayesian Learning of Neural Networks via Adaptive Optimisation Methods
Comments Presented at the ICML 2020 Workshop on Uncertainty and Robustness in Deep Learning
An Overview of Natural Language State Representation for Reinforcement Learning
Comments Accepted to the ICML 2020 Workshop on Language in Reinforcement Learning (LaReL). 4 pages
Structure Mapping for Transferability of Causal Models
Comments Presented at the Inductive Biases, Invariances and Generalization in Reinforcement Learning Workshop, ICML 2020
MTL2L: A Context Aware Neural Optimiser
Comments Published in the ICML workshop of Automated Machine Learning (AutoML) 2020. Also see https://www.automl.org/wp-content/uploads/2020/07/AutoML_2020_paper_5.pdf
An Open-World Simulated Environment for Developmental Robotics
Comments Presented at Workshop on Learning in Artificial Open Worlds held with ICML 2020
Slot Contrastive Networks: A Contrastive Approach for Representing Objects
Comments Presented at ICML 2020 Workshop: Object-Oriented Learning (OOL): Perception, Representation, and Reasoning
Visualizing Classification Structure of Large-Scale Classifiers
Comments 2020 ICML Workshop on Human Interpretability in Machine Learning (WHI 2020)
Regional Image Perturbation Reduces $L_p$ Norms of Adversarial Examples While Maintaining Model-to-model Transferability
Comments Accepted for the ICML 2020, Workshop on Uncertainty and Robustness in Deep Learning (UDL)
When Does Self-Supervision Help Graph Convolutional Networks?
Comments Supplementary materials are available at https://yyou1996.github.io/files/icml2020_ssgcn_supplement.pdf. ICML 2020
Federated Survival Analysis with Discrete-Time Cox Models
Comments 21 pages, 6 figures
Journal ref International Workshop on Federated Learning for User Privacy and Data Confidentiality in Conjunction with ICML 2020 (FL-ICML'20)
SECure: A Social and Environmental Certificate for AI Systems
Comments Accepted for presentation at the Canadian Society for Ecological Economics 2020 Research Symposium, Tracing the Veins 2020, ICML 2020 Deploying and Monitoring Machine Learning Systems workshop
