nick11roberts / XD
☆11Updated 2 years ago
Alternatives and similar repositories for XD:
Users that are interested in XD are comparing it to the libraries listed below
- ☆14Updated 2 years ago
- ☆21Updated 2 years ago
- An adaptive training algorithm for residual network☆15Updated 4 years ago
- Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection☆21Updated 4 years ago
- Code base for SRSGD.☆28Updated 4 years ago
- Encodings for neural architecture search☆29Updated 3 years ago
- Code for "Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models?" [ICML 2023]☆31Updated 5 months ago
- ☆15Updated last year
- Deep Learning & Information Bottleneck☆56Updated last year
- Self-Similarity Priors: Neural Collages as Differentiable Fractal Representations☆27Updated 2 years ago
- ☆17Updated 2 years ago
- Source code of "What can linearized neural networks actually say about generalization?☆20Updated 3 years ago
- ☆23Updated 2 years ago
- Prospect Pruning: Finding Trainable Weights at Initialization Using Meta-Gradients☆31Updated 2 years ago
- Implementations of orthogonal and semi-orthogonal convolutions in the Fourier domain with applications to adversarial robustness☆43Updated 3 years ago
- This is the official implementation of the ICML 2023 paper - Can Forward Gradient Match Backpropagation ?☆12Updated last year
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 3 years ago
- ☆13Updated 2 years ago
- ☆57Updated 2 years ago
- Code for testing DCT plus Sparse (DCTpS) networks☆14Updated 3 years ago
- Spectral Tensor Train Parameterization of Deep Learning Layers☆15Updated 3 years ago
- Architecture embeddings independent from the parametrization of the search space☆15Updated 3 years ago
- [ICLR '21] Interpretable Neural Architecture Search using Bayesian Optimisation with Weisfiler-Lehman Kernel (NAS-BOWL)☆24Updated 3 years ago
- ☆36Updated 3 years ago
- [ICML 2021] Kernel Continual Learning☆7Updated 3 years ago
- Code accompanying our paper "Finding trainable sparse networks through Neural Tangent Transfer" to be published at ICML-2020.☆13Updated 4 years ago
- Efficient Riemannian Optimization on Stiefel Manifold via Cayley Transform☆37Updated 5 years ago
- Towards Understanding Sharpness-Aware Minimization [ICML 2022]☆35Updated 2 years ago
- Monotone operator equilibrium networks☆51Updated 4 years ago
- Notebooks for managing NeurIPS 2014 and analysing the NeurIPS experiment.☆11Updated 9 months ago