xingchenwan / nasbowlLinks
[ICLR '21] Interpretable Neural Architecture Search using Bayesian Optimisation with Weisfiler-Lehman Kernel (NAS-BOWL)
☆24Updated 3 years ago
Alternatives and similar repositories for nasbowl
Users that are interested in nasbowl are comparing it to the libraries listed below
Sorting:
- The first collection of surrogate benchmarks for Joint Architecture and Hyperparameter Search.☆15Updated 2 years ago
- Encodings for neural architecture search☆29Updated 4 years ago
- ☆35Updated 3 years ago
- Official PyTorch implementation of "Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets" (ICLR 2021)☆64Updated last year
- Introducing diverse tasks for NAS☆50Updated 2 years ago
- This repository contains the publishable code for CVPR 2021 paper TransNAS-Bench-101: Improving Transferrability and Generalizability of …☆23Updated 2 years ago
- Code for Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot☆42Updated 4 years ago
- [ICML 2021 Oral] "CATE: Computation-aware Neural Architecture Encoding with Transformers" by Shen Yan, Kaiqiang Song, Fei Liu, Mi Zhang☆19Updated 4 years ago
- Code for our ICLR'2021 paper "DrNAS: Dirichlet Neural Architecture Search"☆43Updated 4 years ago
- ☆67Updated 4 years ago
- [NeurIPS 2020] "Does Unsupervised Architecture Representation Learning Help Neural Architecture Search?" by Shen Yan, Yu Zheng, Wei Ao, X…☆49Updated 4 years ago
- ☆13Updated 3 years ago
- Code to reproduce experiments from 'Does Knowledge Distillation Really Work' a paper which appeared in the 2021 NeurIPS proceedings.☆33Updated last year
- ☆78Updated last year
- [ICML'21] Improved Contrastive Divergence Training of Energy Based Models☆63Updated 3 years ago
- Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection☆21Updated 4 years ago
- Code for the ICML 2021 paper "Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation", Haoxi…☆68Updated 3 years ago
- Official implementation of Learning The Pareto Front With HyperNetworks [ICLR 2021]☆104Updated 3 years ago
- Pytorch Implementation of Rethinking Graph Neural Architecture Search from Message-passing (CVPR 2021)☆52Updated 3 years ago
- "Understanding and Accelerating Neural Architecture Search with Training-Free and Theory-Grounded Metrics" by Wuyang Chen, Xinyu Gong, Yu…☆27Updated 2 years ago
- [ICML2022] Training Your Sparse Neural Network Better with Any Mask. Ajay Jaiswal, Haoyu Ma, Tianlong Chen, ying Ding, and Zhangyang Wang☆29Updated 3 years ago
- ☆29Updated 2 years ago
- ☆10Updated last year
- ☆29Updated last year
- ☆23Updated last year
- ☆40Updated last year
- Implementation of Effective Sparsification of Neural Networks with Global Sparsity Constraint☆31Updated 3 years ago
- Lightweight torch implementation of rigl, a sparse-to-sparse optimizer.☆57Updated 3 years ago
- Codes for Understanding Architectures Learnt by Cell-based Neural Architecture Search☆27Updated 5 years ago
- [ICLR2023] NTK-SAP: Improving neural network pruning by aligning training dynamics☆20Updated 2 years ago