HayeonLee / MetaD2A
Official PyTorch implementation of "Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets" (ICLR 2021)
☆63Updated 3 months ago
Related projects ⓘ
Alternatives and complementary repositories for MetaD2A
- [NeurIPS 2020] "Does Unsupervised Architecture Representation Learning Help Neural Architecture Search?" by Shen Yan, Yu Zheng, Wei Ao, X…☆49Updated 3 years ago
- [ICML 2021 Oral] "CATE: Computation-aware Neural Architecture Encoding with Transformers" by Shen Yan, Kaiqiang Song, Fei Liu, Mi Zhang☆19Updated 3 years ago
- Code for our ICLR'2021 paper "DrNAS: Dirichlet Neural Architecture Search"☆43Updated 3 years ago
- Encodings for neural architecture search☆29Updated 3 years ago
- [CVPR 2021] "The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models" Tianlong Chen, Jon…☆68Updated last year
- ☆35Updated 3 years ago
- Official PyTorch Implementation of HELP: Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning (NeurIPS 2021 Spotlight…☆60Updated 3 months ago
- [ICLR 2021] "Long Live the Lottery: The Existence of Winning Tickets in Lifelong Learning" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, S…☆23Updated 2 years ago
- [ICLR 2021] CompOFA: Compound Once-For-All Networks For Faster Multi-Platform Deployment☆23Updated last year
- ☆21Updated 5 years ago
- ☆18Updated 2 years ago
- Code for ViTAS_Vision Transformer Architecture Search☆51Updated 3 years ago
- [ICML2022] Training Your Sparse Neural Network Better with Any Mask. Ajay Jaiswal, Haoyu Ma, Tianlong Chen, ying Ding, and Zhangyang Wang☆26Updated 2 years ago
- "Understanding and Accelerating Neural Architecture Search with Training-Free and Theory-Grounded Metrics" by Wuyang Chen, Xinyu Gong, Yu…☆25Updated last year
- NAS Benchmark in "Prioritized Architecture Sampling with Monto-Carlo Tree Search", CVPR2021☆37Updated 3 years ago
- Codes for Understanding Architectures Learnt by Cell-based Neural Architecture Search☆27Updated 4 years ago
- code for "AttentiveNAS Improving Neural Architecture Search via Attentive Sampling"☆103Updated 3 years ago
- ☆26Updated 5 months ago
- Code for our ICLR'2022 paper "Generalizing Few-Shot NAS with Gradient Matching"☆21Updated 2 years ago
- [NeurIPS 2021] “Stronger NAS with Weaker Predictors“, Junru Wu, Xiyang Dai, Dongdong Chen, Yinpeng Chen, Mengchen Liu, Ye Yu, Zhangyang W…☆27Updated 2 years ago
- [ICLR 2021] "Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective" by Wuyang Chen, Xinyu Gong, …☆167Updated 2 years ago
- Offical Repo for Firefly Neural Architecture Descent: a General Approach for Growing Neural Networks. Accepted by Neurips 2020.☆30Updated 4 years ago
- Code for Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot☆43Updated 4 years ago
- Soft Threshold Weight Reparameterization for Learnable Sparsity☆87Updated last year
- Lookahead: A Far-sighted Alternative of Magnitude-based Pruning (ICLR 2020)☆33Updated 4 years ago
- Prospect Pruning: Finding Trainable Weights at Initialization Using Meta-Gradients☆29Updated 2 years ago
- Open source reproduction in PyTorch of "Neural Predictor for Neural Architecture Search".☆39Updated 4 years ago
- Identify a binary weight or binary weight and activation subnetwork within a randomly initialized network by only pruning and binarizing …☆49Updated 2 years ago
- ☆67Updated 4 years ago
- Code for "Picking Winning Tickets Before Training by Preserving Gradient Flow" https://openreview.net/pdf?id=SkgsACVKPH☆101Updated 4 years ago