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Can convolutional ResNets approximately preserve input distances? A frequency analysis perspective

4 June 2021

Lewis Smith

Joost R. van Amersfoort

Papers citing "Can convolutional ResNets approximately preserve input distances? A frequency analysis perspective"

8 / 8 papers shown

CLOAF: CoLlisiOn-Aware Human FlowComputer Vision and Pattern Recognition (CVPR), 2024

218

14 Mar 2024

ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference

330

21 Nov 2022

Linking Neural Collapse and L2 Normalization with Improved Out-of-Distribution Detection in Deep Neural Networks

324

17 Sep 2022

SAFE: Sensitivity-Aware Features for Out-of-Distribution Object DetectionIEEE International Conference on Computer Vision (ICCV), 2022

542

29 Aug 2022

A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-AwarenessJournal of machine learning research (JMLR), 2022

Balaji Lakshminarayanan

UQCV BDL

580

01 May 2022

On the Practicality of Deterministic Epistemic Uncertainty

Luc Van Gool

443

01 Jul 2021

Deep Deterministic Uncertainty: A Simple BaselineComputer Vision and Pattern Recognition (CVPR), 2021

Jishnu Mukhoti

Andreas Kirsch

Joost R. van Amersfoort

Juil Sock

Y. Gal

UD UQCV PER BDL

559

236

23 Feb 2021

Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness

Balaji Lakshminarayanan

UQCV BDL

971

541

17 Jun 2020