Search Results for author: Jeffrey Willette

Found 4 papers, 1 papers with code

Universal Mini-Batch Consistency for Set Encoding Functions

1 code implementation26 Aug 2022 Jeffrey Willette, Andreis Bruno, Juho Lee, Sung Ju Hwang

Previous works have established solid foundations for neural set functions, as well as effective architectures which preserve the necessary properties for operating on sets, such as being invariant to permutations of the set elements.

Point Cloud Classification

Meta Learning Low Rank Covariance Factors for Energy-Based Deterministic Uncertainty

no code implementations12 Oct 2021 Jeffrey Willette, Hae Beom Lee, Juho Lee, Sung Ju Hwang

Numerous recent works utilize bi-Lipschitz regularization of neural network layers to preserve relative distances between data instances in the feature spaces of each layer.

Meta-Learning OOD Detection

Mini-Batch Consistent Slot Set Encoder for Scalable Set Encoding

no code implementations NeurIPS 2021 Bruno Andreis, Jeffrey Willette, Juho Lee, Sung Ju Hwang

The proposed method adheres to the required symmetries of invariance and equivariance as well as maintaining MBC for any partition of the input set.

Improving Uncertainty Calibration via Prior Augmented Data

no code implementations22 Feb 2021 Jeffrey Willette, Juho Lee, Sung Ju Hwang

Neural networks have proven successful at learning from complex data distributions by acting as universal function approximators.

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