sjunhongshen / DASHLinks
☆23Updated 3 years ago
Alternatives and similar repositories for DASH
Users that are interested in DASH are comparing it to the libraries listed below
Sorting:
- ☆15Updated 3 years ago
- ☆12Updated 3 years ago
- Introducing diverse tasks for NAS☆50Updated 3 years ago
- Code release for REPAIR: REnormalizing Permuted Activations for Interpolation Repair☆52Updated 2 years ago
- Recycling diverse models☆46Updated 3 years ago
- Official PyTorch implementation of "Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets" (ICLR 2021)☆64Updated last year
- Efficient Riemannian Optimization on Stiefel Manifold via Cayley Transform☆44Updated 6 years ago
- ☆38Updated 2 years ago
- ☆19Updated 3 years ago
- Code for "Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models?" [ICML 2023]☆38Updated last year
- Repository for the PopulAtion Parameter Averaging (PAPA) paper☆30Updated last year
- Official implementation for Equivariant Architectures for Learning in Deep Weight Spaces [ICML 2023]☆90Updated 2 years ago
- Latest Weight Averaging (NeurIPS HITY 2022)☆32Updated 2 years ago
- Reproducible code for Augmentation paper☆17Updated 7 years ago
- ☆37Updated 4 years ago
- ModelDiff: A Framework for Comparing Learning Algorithms☆58Updated 2 years ago
- Sequence Modeling with Multiresolution Convolutional Memory (ICML 2023)☆127Updated 2 years ago
- Code to implement the AND-mask and geometric mean to do gradient based optimization, from the paper "Learning explanations that are hard …☆41Updated 5 years ago
- Code for the paper "Efficient Dataset Distillation using Random Feature Approximation"☆37Updated 2 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 4 years ago
- ☆52Updated last year
- DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization☆31Updated 3 years ago
- Offical Repo for Firefly Neural Architecture Descent: a General Approach for Growing Neural Networks. Accepted by Neurips 2020.☆34Updated 5 years ago
- ☆13Updated 3 years ago
- Neural Architecture Search + Cascades | Best Paper @ GECCO 2022☆15Updated 2 years ago
- ☆53Updated 2 weeks ago
- ☆14Updated 3 years ago
- Code to reproduce experiments from 'Does Knowledge Distillation Really Work' a paper which appeared in the 2021 NeurIPS proceedings.☆33Updated 2 years ago
- An adaptive training algorithm for residual network☆17Updated 5 years ago
- Last-layer Laplace approximation code examples☆83Updated 4 years ago