CownowAn / DiffusionNAGLinks
Official PyTorch implementation of "DiffusionNAG: Predictor-guided Neural Architecture Generation with Diffusion Models" (ICLR 2024)
☆44Updated last year
Alternatives and similar repositories for DiffusionNAG
Users that are interested in DiffusionNAG are comparing it to the libraries listed below
Sorting:
- ☆13Updated 2 years ago
- [ICLR2023] NTK-SAP: Improving neural network pruning by aligning training dynamics☆19Updated 2 years ago
- [ICLR '21] Interpretable Neural Architecture Search using Bayesian Optimisation with Weisfiler-Lehman Kernel (NAS-BOWL)☆24Updated 3 years ago
- ☆31Updated 2 years ago
- Code for the paper- Multi-conditioned Graph Diffusion for Neural Architecture Search (https://openreview.net/forum?id=5VotySkajV)☆16Updated 11 months ago
- Official PyTorch implementation of "Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets" (ICLR 2021)☆64Updated last year
- [ICLR'24] "DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training" by Aochuan Chen*, Yimeng Zhang*, Jinghan Jia, James Di…☆66Updated 9 months ago
- [ICLR 2023 notable top-5%] Rethinking the Expressive Power of GNNs via Graph Biconnectivity (official implementation)☆103Updated 2 years ago
- Official implementation for Equivariant Architectures for Learning in Deep Weight Spaces [ICML 2023]☆89Updated last year
- Code Repository for GDSS using Graph Transformer☆16Updated last year
- Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"☆85Updated 2 years ago
- [Preprint] Graph State Space Convolution (GSSC)☆13Updated last year
- Deep Learning & Information Bottleneck☆61Updated 2 years ago
- [NeurIPS'21] Higher-order Transformers for sets, graphs, and hypergraphs, in PyTorch☆68Updated 2 years ago
- Pytorch Implementation of Rethinking Graph Neural Architecture Search from Message-passing (CVPR 2021)☆52Updated 3 years ago
- PyTorch implementation of LEARNING LATENT PERMUTATIONS WITH GUMBEL-SINKHORN NETWORKS☆30Updated 5 years ago
- 📰 Must-Read Papers on Offline Model-Based Optimization 🔥☆24Updated last month
- ICLR 2021☆48Updated 4 years ago
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆52Updated last year
- Official source code for "Graph Neural Networks for Learning Equivariant Representations of Neural Networks". In ICLR 2024 (oral).☆81Updated last year
- Code for "Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models?" [ICML 2023]☆36Updated 11 months ago
- A python package providing a benchmark with various specified distribution shift patterns.☆58Updated last year
- ☆18Updated last year
- ☆26Updated 2 years ago
- A Simple and Scalable Representation for Graph Generation (ICLR 2024)☆21Updated last year
- ☆31Updated 2 months ago
- ☆65Updated 3 years ago
- [ICML 2024 Oral] LSH-Based Efficient Point Transformer (HEPT)☆20Updated 6 months ago
- Official codebase for AdaRank: Adaptive Rank Pruning for Enhanced Model Merging☆15Updated 2 months ago
- [ICLR 2024 Oral] Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness.☆17Updated last year