Really simplified animal kingdom hierarchy
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Updated
Mar 17, 2018 - Scala
Really simplified animal kingdom hierarchy
Some example of type variance in Scala
Linear Errors-In-Variables Estimation
Covariance, invariance, contravariance overview of collections in Java 11, vavr, guava.
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
Identifying invariant elements of Neural Networks to image transformations
Size-Invariant Graph Representations for Graph Classification Extrapolations (ICML 2021 Long Talk)
Official PyTorch implementation of Bispectral Neural Networks, ICLR 2023
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
Relative representations can be leveraged to enable solving tasks regarding "latent communication": from zero-shot model stitching to latent space comparison between diverse settings.
This repository is the official accompaniment to A General Framework for Robust G-Invariance in G-Equivariant Networks (submitted, NeurIPS 2023)
Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)
On the forward invariance of Neural ODEs: performance guarantees for policy learning
Non-parametric hypothesis tests for identifying distributional group symmetries from data
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"
Have hard time understanding it? Let me simplify it for you.
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).
Geom3D: Geometric Modeling on 3D Structures, NeurIPS 2023
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