Co-occurring keywords · papers mentioning both
Papers
Scalable Set Encoding with Universal Mini-Batch Consistency and Unbiased Full Set Gradient Approximation
ICML 2023
Submodular Order Functions and Assortment Optimization
ICML 2023
Exponential Separations in Symmetric Neural Networks
NeurIPS 2022
Learning Neural Set Functions Under the Optimal Subset Oracle
NeurIPS 2022
Neural Estimation of Submodular Functions with Applications to Differentiable Subset Selection
NeurIPS 2022
Neural Set Function Extensions: Learning with Discrete Functions in High Dimensions
NeurIPS 2022
Strategic Representation
ICML 2022
Learning Set Functions that are Sparse in Non-Orthogonal Fourier Bases
AAAI 2021
Learning to Select Exogenous Events for Marked Temporal Point Process
NeurIPS 2021
On Universal Equivariant Set Networks
ICLR 2020
Regularizing Towards Permutation Invariance In Recurrent Models
NeurIPS 2020
Efficiently Learning Fourier Sparse Set Functions
NeurIPS 2019
Janossy Pooling: Learning Deep Permutation-Invariant Functions for Variable-Size Inputs
ICLR 2019
On the Limitations of Representing Functions on Sets
ICML 2019
Powerset Convolutional Neural Networks
NeurIPS 2019
Shape Constraints for Set Functions
ICML 2019
Optimizing Ratio of Monotone Set Functions
IJCAI 2017
Learning Fourier Sparse Set Functions
AISTATS 2012