zhangjiong724 / autoassist-expLinks
Code accompanying the NeurIPS 2019 paper AutoAssist: A Framework to Accelerate Training of Deep Neural Networks.
☆14Updated 3 years ago
Alternatives and similar repositories for autoassist-exp
Users that are interested in autoassist-exp are comparing it to the libraries listed below
Sorting:
- Codes for Understanding Architectures Learnt by Cell-based Neural Architecture Search☆28Updated 5 years ago
- Implementation of the paper: Selective_Backpropagation from paper Accelerating Deep Learning by Focusing on the Biggest Losers☆15Updated 5 years ago
- The Search for Sparse, Robustness Neural Networks☆11Updated 2 years ago
- ☆35Updated 4 years ago
- [CVPR 2020] When NAS Meets Robustness: In Search of Robust Architectures against Adversarial Attacks☆124Updated 5 years ago
- A comprehensive overview of Data Distillation and Condensation (DDC). DDC is a data-centric task where a representative (i.e., small but …☆13Updated 3 years ago
- Code associated with the paper **Fine-tuning Language Models over Slow Networks using Activation Compression with Guarantees**.☆28Updated 2 years ago
- Adversarially Robust Generalization Just Requires More Unlabeled Data☆11Updated 6 years ago
- Reproduction of "How Does Batch Normalization Help Optimization?" paper☆21Updated 6 years ago
- Code for our ICLR'2021 paper "DrNAS: Dirichlet Neural Architecture Search"☆43Updated 4 years ago
- ☆68Updated 5 years ago
- [AAAI2023] NAS-LID: Efficient Neural Architecture Search with Local Intrinsic Dimension☆17Updated 3 years ago
- This framework implements key experiments on the sparse double descent phenomenon (ICML 2022).☆15Updated 3 years ago
- ☆21Updated 6 years ago
- Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019☆54Updated 5 years ago
- [ICLR 2021] CompOFA: Compound Once-For-All Networks For Faster Multi-Platform Deployment☆25Updated 3 years ago
- Official PyTorch Implementation of HELP: Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning (NeurIPS 2021 Spotlight…☆63Updated last year
- Code and checkpoints of compressed networks for the paper titled "HYDRA: Pruning Adversarially Robust Neural Networks" (NeurIPS 2020) (ht…☆91Updated 3 years ago
- Code for Double Blind CollaborativeLearning (DBCL)☆14Updated 4 years ago
- Code for "Picking Winning Tickets Before Training by Preserving Gradient Flow" https://openreview.net/pdf?id=SkgsACVKPH☆105Updated 5 years ago
- A Closer Look at Accuracy vs. Robustness☆88Updated 4 years ago
- PyTorch Code for "Evaluating the search phase of Neural Architecture Search" @ ICLR 2020☆49Updated 6 years ago
- [NeurIPS 2020] "Does Unsupervised Architecture Representation Learning Help Neural Architecture Search?" by Shen Yan, Yu Zheng, Wei Ao, X…☆50Updated 4 years ago
- Code accompanying the NeurIPS 2020 paper: WoodFisher (Singh & Alistarh, 2020)☆53Updated 4 years ago
- A PyTorch implementation of NASBench☆52Updated 2 years ago
- [ICLR 2022] "Sparsity Winning Twice: Better Robust Generalization from More Efficient Training" by Tianlong Chen*, Zhenyu Zhang*, Pengjun…☆40Updated 3 years ago
- ☆12Updated 3 years ago
- Source Code for ICML 2019 Paper "Shallow-Deep Networks: Understanding and Mitigating Network Overthinking"☆37Updated 2 years ago
- Towards Achieving Adversarial Robustness by Enforcing Feature Consistency Across Bit Planes☆23Updated 5 years ago
- Official implementation of Neurips 2020 "Sparse Weight Activation Training" paper.☆29Updated 4 years ago