There are 0 repository under invariance topic.
Equivariant Transformer (ET) layers are image-to-image mappings that incorporate prior knowledge on invariances with respect to continuous transformations groups (ICML 2019). Paper: https://arxiv.org/abs/1901.11399
Relative representations can be leveraged to enable solving tasks regarding "latent communication": from zero-shot model stitching to latent space comparison between diverse settings.
Official PyTorch and JAX Implementation of "Harmonics of Learning: Universal Fourier Features Emerge in Invariant Networks"
Size-Invariant Graph Representations for Graph Classification Extrapolations (ICML 2021 Long Talk)
Official PyTorch implementation of Bispectral Neural Networks, ICLR 2023
A List of Papers on Theoretical Foundations of Graph Neural Networks
Code for "Improving Stain Invariance of CNNs for Segmentation by Fusing Channel Attention and Domain-Adversarial Training"
Continuous regular group convolutions for Pytorch
On the forward invariance of Neural ODEs: performance guarantees for policy learning
Measurement invariance explorer - R package to explore measurement invariance
Non-parametric hypothesis tests for identifying distributional group symmetries from data
MMD-B-Fair: Learning Fair Representations with Statistical Testing (AISTATS 2023)
This a tensorflow implementation of VICReg - a self-supervised learning architecture that prevents collapse in an intuitive manner using a loss function that 1. maintains the variance of each embedding over a batch above a threshold and 2. decorrelating pairs of embeddings over a batch and attracting them to 0. Training was done using TPU on colab
The Transformational Measures (TM) library allows neural network researchers to evaluate the invariance and equivariance of their models with respect to a set of transformations. Support for Pytorch (current) and Tensorflow/Keras (coming).
This repository is the official accompaniment to A General Framework for Robust G-Invariance in G-Equivariant Networks (submitted, NeurIPS 2023)
Official PyTorch Implementation of "A General Framework for Robust G-Invariance in G-Equivariant Networks," NeurIPS 2023
Matlab implementation of Trajectory Invariants.
Covariance, invariance, contravariance overview of collections in Java 11, vavr, guava.
Linear Errors-In-Variables Estimation
Really simplified animal kingdom hierarchy
Some example of type variance in Scala
Identifying invariant elements of Neural Networks to image transformations
Simple examples to illustrate the differences between invariance, covariance and contravariance in Scala
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