brendel-group / compositional-ood-generalization
Official code for the paper "Compositional Generalization from First Principles" (NeurIPS 2023)
☆9Updated last year
Alternatives and similar repositories for compositional-ood-generalization:
Users that are interested in compositional-ood-generalization are comparing it to the libraries listed below
- Usable implementation of Emerging Symbol Binding Network (ESBN), in Pytorch☆23Updated 4 years ago
- PyTorch implementation for "Long Horizon Temperature Scaling", ICML 2023☆20Updated last year
- ☆17Updated 2 years ago
- Code associated with our paper "Learning Group Structure and Disentangled Representations of Dynamical Environments"☆15Updated 2 years ago
- Official code for the paper: "Metadata Archaeology"☆18Updated last year
- Official code for "Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving", ICML 2021☆26Updated 3 years ago
- Meta-learning inductive biases in the form of useful conserved quantities.☆37Updated 2 years ago
- Repository for the PopulAtion Parameter Averaging (PAPA) paper☆26Updated 9 months ago
- Code for "Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models?" [ICML 2023]☆30Updated 4 months ago
- [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models☆44Updated last year
- ☆36Updated 2 years ago
- Experiments for Meta-Learning Symmetries by Reparameterization☆56Updated 3 years ago
- Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561☆24Updated 3 years ago
- Official repository for our ICLR 2021 paper Evaluating the Disentanglement of Deep Generative Models with Manifold Topology☆35Updated 3 years ago
- JAX implementation of "Fine-Tuning Language Models with Just Forward Passes"☆19Updated last year
- This repository includes code to reproduce the tables in "Loss Landscapes are All You Need: Neural Network Generalization Can Be Explaine…☆34Updated last year
- The Shape of Data: Intrinsic Distance for Comparing Data Distributions☆12Updated 5 years ago
- Fast training of unitary deep network layers from low-rank updates☆28Updated 2 years ago
- Repo reproducing experimental results in "Addressing the Topological Defects of Disentanglement"☆22Updated 2 years ago
- The official repository for our paper "The Dual Form of Neural Networks Revisited: Connecting Test Time Predictions to Training Patterns …☆16Updated last year
- Official implementation for Neural networks with recurrent generative feedback (NeurIPS 2020).☆22Updated 4 years ago
- Latest Weight Averaging (NeurIPS HITY 2022)☆28Updated last year
- An empirical investigation of deep learning theory☆16Updated 5 years ago
- reproduces experiments from "Grounding inductive biases in natural images: invariance stems from variations in data"☆17Updated 3 months ago
- ☆40Updated last year
- ☆17Updated 3 years ago
- Understanding how features learned by neural networks evolve throughout training☆32Updated 2 months ago
- ☆18Updated 2 years ago
- ☆12Updated last year
- Fine-grained, dynamic control of neural network topology in JAX.☆21Updated last year