miaozhang0525 / iDARTS
codes for ICML2021 paper iDARTS: Differentiable Architecture Search with Stochastic Implicit Gradients
☆10Updated 3 years ago
Alternatives and similar repositories for iDARTS:
Users that are interested in iDARTS are comparing it to the libraries listed below
- Benchmarking Attention Mechanism in Vision Transformers.☆17Updated 2 years ago
- Automated neural architecture search algorithms implemented in PyTorch and Autogluon toolkit.☆12Updated 5 years ago
- [ICLR 2021] "Long Live the Lottery: The Existence of Winning Tickets in Lifelong Learning" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, S…☆25Updated 3 years ago
- Experiments from "The Generalization-Stability Tradeoff in Neural Network Pruning": https://arxiv.org/abs/1906.03728.☆15Updated 4 years ago
- [ICML 2021] "Efficient Lottery Ticket Finding: Less Data is More" by Zhenyu Zhang*, Xuxi Chen*, Tianlong Chen*, Zhangyang Wang☆25Updated 3 years ago
- [CVPR 2021] "The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models" Tianlong Chen, Jon…☆69Updated 2 years ago
- [ICLR 2025] Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better☆14Updated 2 months ago
- Paper List for In-context Learning 🌷☆20Updated 2 years ago
- A pytorch implementation of the ICCV2021 workshop paper SimDis: Simple Distillation Baselines for Improving Small Self-supervised Models☆14Updated 3 years ago
- Paper and Code for "Curriculum Learning by Optimizing Learning Dynamics" (AISTATS 2021)☆19Updated 3 years ago
- Code implementation for paper "On the Efficacy of Small Self-Supervised Contrastive Models without Distillation Signals".☆16Updated 3 years ago
- [CVPR 2024] DiffAgent: Fast and Accurate Text-to-Image API Selection with Large Language Model☆17Updated last year
- BESA is a differentiable weight pruning technique for large language models.☆16Updated last year
- (CVPR 2022) Automated Progressive Learning for Efficient Training of Vision Transformers☆25Updated last month
- Data-free knowledge distillation using Gaussian noise (NeurIPS paper)☆15Updated 2 years ago
- Code for our ICLR'2021 paper "DrNAS: Dirichlet Neural Architecture Search"☆44Updated 4 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
- This is the official implementation of the ICML 2023 paper - Can Forward Gradient Match Backpropagation ?☆12Updated last year
- Codes for DATA: Differentiable ArchiTecture Approximation.☆11Updated 3 years ago
- Cyclic Differentiable Architecture Search☆36Updated 3 years ago
- Official PyTorch implementation of "Meta-prediction Model for Distillation-Aware NAS on Unseen Datasets" (ICLR 2023 notable top 25%)☆24Updated last year
- [CVPR 2021] Contrastive Neural Architecture Search with Neural Architecture Comparators☆40Updated 3 years ago
- ☆38Updated last year
- ☆13Updated 3 years ago
- Revisiting Parameter Sharing for Automatic Neural Channel Number Search, NeurIPS 2020☆21Updated 4 years ago
- [Preprint] Why is the State of Neural Network Pruning so Confusing? On the Fairness, Comparison Setup, and Trainability in Network Prunin…☆40Updated 2 years ago
- Codes for Understanding Architectures Learnt by Cell-based Neural Architecture Search☆27Updated 5 years ago
- This is a PyTorch implementation of the paperViP A Differentially Private Foundation Model for Computer Vision☆36Updated last year
- Official code of "NAS acceleration via proxy data", IJCAI21☆10Updated 2 years ago
- Out-of-distribution generalization benchmarks for image recognition models☆14Updated 5 years ago