Understanding and Mitigating the Tradeoff Between Robustness and Accuracy
Comments Appearing at International Conference on Machine Learning (ICML) 2020
期刊&会议
ICML
International Conference on Machine Learning · 会议 · Machine Learning
On Second-Order Group Influence Functions for Black-Box Predictions
Comments To Appear in ICML 2020
Educating Text Autoencoders: Latent Representation Guidance via Denoising
Comments ICML 2020 camera-ready
The Impact of Neural Network Overparameterization on Gradient Confusion and Stochastic Gradient Descent
Comments ICML 2020 camera-ready version
Maximum Entropy Gain Exploration for Long Horizon Multi-goal Reinforcement Learning
Comments 12 pages (+12 appendix). Published as a conference paper at ICML 2020. Code available at https://github.com/spitis/mrl
TDprop: Does Jacobi Preconditioning Help Temporal Difference Learning?
Comments Presented at the Theoretical Foundations of Reinforcement Learning workshop at ICML 2020
Optimization from Structured Samples for Coverage Functions
Comments To appear in ICML 2020
Black-box Adversarial Example Generation with Normalizing Flows
Comments Accepted to the 2nd workshop on Invertible Neural Networks, Normalizing Flows, and Explicit Likelihood Models (ICML 2020), Virtual Conference
Student-Teacher Curriculum Learning via Reinforcement Learning: Predicting Hospital Inpatient Admission Location
Comments 16 pages, 31 figures, In Proceedings of the 37th International Conference on Machine Learning
Journal ref In Proceedings of the 37th International Conference on Machine Learning, 2020
Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances
Comments Near camera ready version for ICML 2020. Previous title: "Variational Gaussian Processes with Signature Covariances"
Factors for the Generalisation of Identity Relations by Neural Networks
Comments ICML 2019 Workshop on Understanding and Improving Generalization in Deep Learning}, Long Beach, California, 2019
Journal ref ICML 2019 Workshop on Understanding and Improving Generalization in Deep Learning}, Long Beach, California, 201
A Unified View of Multi-Label Performance Measures
Journal ref ICML 2017
One-Pass AUC Optimization
Comments Proceeding of 30th International Conference on Machine Learning
Journal ref Artificial Intelligence, 2016, 236: 1-29
Automatic semantic segmentation for prediction of tuberculosis using lens-free microscopy images
Comments ML for Global Health Workshop at ICML 2020
Using Capsule Neural Network to predict Tuberculosis in lens-free microscopic images
Comments HSYS Workshop at ICML 2020
Scalable Differentiable Physics for Learning and Control
Journal ref Proceedings of the 37th International Conference on Machine Learning, ICML 2020
Simple and Deep Graph Convolutional Networks
Comments ICML 2020
Discount Factor as a Regularizer in Reinforcement Learning
Comments Published in ICML 2020
Journal ref Published in Proceedings of the 37th International Conference on Machine Learning, Vienna, Austria, PMLR 119, 2020
Nested Subspace Arrangement for Representation of Relational Data
Comments 11 pages, 13 figures, ICML 2020
An Empirical Study of Invariant Risk Minimization
Comments Presented at the ICML 2020 Workshop on Uncertainty and Robustness in Deep Learning. Code at https://github.com/kakaobrain/irm-empirical-study
ROMA: Multi-Agent Reinforcement Learning with Emergent Roles
Comments Thirty-seventh International Conference on Machine Learning (ICML 2020)
Learning Adversarially Robust Representations via Worst-Case Mutual Information Maximization
Comments ICML 2020
Supervised Quantile Normalization for Low-rank Matrix Approximation
Comments new version with genomics experiments
Journal ref ICML 2020
Evaluating Uncertainty Estimation Methods on 3D Semantic Segmentation of Point Clouds
Comments 12 pages, 19 figures, ICML 2020 Workshop on Uncertainty and Robustness in Deep Learning
Video Prediction via Example Guidance
Comments Project Page: https://sites.google.com/view/vpeg-supp/home
Journal ref ICML 2020
Deep interpretability for GWAS
Comments Accepted at ICML 2020 workshop on ML Interpretability for Scientific Discovery
A Brief Look at Generalization in Visual Meta-Reinforcement Learning
Comments Accepted to the 4th Lifelong Learning Workshop at ICML 2020
WaveNODE: A Continuous Normalizing Flow for Speech Synthesis
Comments 8 pages, 4 figures, Second workshop on Invertible Neural Networks, Normalizing Flows, and Explicit Likelihood Models (ICML 2020)
Reinforcement Learning Generalization with Surprise Minimization
Comments Inductive biases, invariances and generalization in RL Workshop, ICML 2020
Stochastic Gauss-Newton Algorithms for Nonconvex Compositional Optimization
Comments 32 pages and 8 figures
Journal ref ICML 2020
