wendlerc / Powerset-CNNLinks
Sample implementation accompanying the NeurIPS 2019 paper 'Powerset Convolutional Neural Networks' by Chris Wendler, Dan Alistarh, and Markus Püschel
☆10Updated 5 years ago
Alternatives and similar repositories for Powerset-CNN
Users that are interested in Powerset-CNN are comparing it to the libraries listed below
Sorting:
- Repo reproducing experimental results in "Addressing the Topological Defects of Disentanglement"☆22Updated 3 years ago
- ☆10Updated last year
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆59Updated 4 years ago
- PyTorch Codes for Haar Graph Pooling☆11Updated 2 years ago
- Spectral Tensor Train Parameterization of Deep Learning Layers☆15Updated 4 years ago
- Hyper volume maximization for GAN training☆25Updated 6 years ago
- "Do We Need Anisotropic Graph Neural Networks?" at ICLR 2022☆33Updated 3 years ago
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆77Updated last year
- ☆44Updated 5 years ago
- Interpolation between Residual and Non-Residual Networks, ICML 2020. https://arxiv.org/abs/2006.05749☆26Updated 5 years ago
- Code base for SRSGD.☆28Updated 5 years ago
- Riemannian approach to batch normalization☆22Updated 8 years ago
- [NeurIPS-2021] Slow Learning and Fast Inference: Efficient Graph Similarity Computation via Knowledge Distillation☆42Updated 2 years ago
- G2SAT: Learning to Generate SAT Formulas☆49Updated 5 years ago
- ☆47Updated 6 years ago
- Official implementation of NeurIPS'21: Implicit SVD for Graph Representation Learning☆20Updated 4 years ago
- ☆12Updated 6 years ago
- PyTorch and Torch implementation for our accepted CVPR 2020 paper (Oral): Controllable Orthogonalization in Training DNNs☆25Updated 4 years ago
- Some improvements on Adam☆28Updated 5 years ago
- Parameterizing Mixing Links in Sparse Factors Works Better than Dot-Product Self-Attention (CVPR 2022)☆20Updated 2 years ago
- Successfully training approximations to full-rank matrices for efficiency in deep learning.☆17Updated 4 years ago
- PyTorch re-implementation of parts of "Deep Sets" (NIPS 2017)☆72Updated 7 years ago
- Percentile computation for pytorch☆21Updated 5 years ago
- code for paper "Graph Structure of Neural Networks"☆155Updated 4 years ago
- Code accompanying our paper "Finding trainable sparse networks through Neural Tangent Transfer" to be published at ICML-2020.☆13Updated 5 years ago
- Fast Approximate Quadratic Assignment for (Brain) Graph Matching☆16Updated 9 years ago
- Implicit Graph Neural Networks☆64Updated 4 years ago
- Mixed-curvature Variational Autoencoders (ICLR 2020)☆65Updated 4 years ago
- D-VAE: A Variational Autoencoder for Directed Acyclic Graphs, NeurIPS 2019☆145Updated 5 years ago
- This is the pytorch re-implementation of the IterNorm☆41Updated 6 years ago