[NeurIPS'2019] Shupeng Gui, Haotao Wang, Haichuan Yang, Chen Yu, Zhangyang Wang, Ji Liu, “Model Compression with Adversarial Robustness: A Unified Optimization Framework”
☆48Dec 30, 2021Updated 4 years ago
Alternatives and similar repositories for ATMC
Users that are interested in ATMC are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- The Search for Sparse, Robustness Neural Networks☆11Mar 24, 2023Updated 3 years ago
- Code release for "Adversarial Robustness vs Model Compression, or Both?"☆90Jun 22, 2021Updated 5 years ago
- Code and checkpoints of compressed networks for the paper titled "HYDRA: Pruning Adversarially Robust Neural Networks" (NeurIPS 2020) (ht…☆91Dec 22, 2022Updated 3 years ago
- ☆13Mar 8, 2020Updated 6 years ago
- Code for the paper "Adversarial Neural Pruning with Latent Vulnerability Suppression"☆15Nov 23, 2022Updated 3 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- [ICLR 2020] ”Triple Wins: Boosting Accuracy, Robustness and Efficiency Together by Enabling Input-Adaptive Inference“☆24Dec 30, 2021Updated 4 years ago
- ☆15Jan 8, 2020Updated 6 years ago
- Successfully training approximations to full-rank matrices for efficiency in deep learning.☆16Jan 5, 2021Updated 5 years ago
- This is the official implementation of ClusTR: Clustering Training for Robustness paper.☆21Oct 20, 2021Updated 4 years ago
- ☆12Jul 7, 2021Updated 4 years ago
- This repository provides code for "On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness".☆47Nov 6, 2022Updated 3 years ago
- Official repository for "Stylized Adversarial Training" (TPAMI 2022)☆11Dec 30, 2022Updated 3 years ago
- Implementation of SurfCon model for Synonym Discovery on Privacy-Aware Clinical Data☆12Jul 6, 2023Updated 2 years ago
- Code for "Picking Winning Tickets Before Training by Preserving Gradient Flow" https://openreview.net/pdf?id=SkgsACVKPH☆105Feb 18, 2020Updated 6 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Source for paper "Attacking Binarized Neural Networks"☆23Mar 23, 2018Updated 8 years ago
- Code for "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis" https://arxiv.org/abs/1905.05934☆113Mar 3, 2020Updated 6 years ago
- SyReNN: Symbolic Representations for Neural Networks☆41Mar 20, 2023Updated 3 years ago
- [ICLR 2020] A repository for extremely fast adversarial training using FGSM☆446Jul 25, 2024Updated last year
- [JMLR] TRADES + random smoothing for certifiable robustness☆14Sep 13, 2020Updated 5 years ago
- ☆47Aug 15, 2019Updated 6 years ago
- Codes for paper "Few Shot Network Compression via Cross Distillation", AAAI 2020.☆30Jan 31, 2020Updated 6 years ago
- This repository contains a Pytorch implementation of the paper "The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks"…☆350Oct 3, 2023Updated 2 years ago
- Code for our ICML'2020 paper "Stabilizing Differentiable Architecture Search via Perturbation-based Regularization"☆77Apr 12, 2021Updated 5 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Code for the paper "Training CNNs with Selective Allocation of Channels" (ICML 2019)☆25May 14, 2019Updated 7 years ago
- A pytorch implement of scalable neural netowrks.☆23Jun 9, 2020Updated 6 years ago
- Conditional channel- and precision-pruning on neural networks☆71Mar 4, 2020Updated 6 years ago
- ☆15Dec 29, 2021Updated 4 years ago
- Quantization of Convolutional Neural networks.☆250Aug 5, 2024Updated last year
- A PyTorch implementation of "Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights"☆165Mar 8, 2020Updated 6 years ago
- Codebase for the paper "A Gradient Flow Framework for Analyzing Network Pruning"☆20Jan 31, 2021Updated 5 years ago
- Mayo: Auto-generation of hardware-friendly deep neural networks. Dynamic Channel Pruning: Feature Boosting and Suppression.☆111Dec 10, 2019Updated 6 years ago
- Compressing Neural Networks using the Variational Information Bottleneck☆66Aug 3, 2022Updated 3 years ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- Programmable Neural Network Compression☆149May 26, 2022Updated 4 years ago
- (ECCV'2020 Oral)EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning☆308Dec 8, 2022Updated 3 years ago
- Implementation of NeurIPS 2019 paper "Normalization Helps Training of Quantized LSTM"☆31Jul 25, 2024Updated last year
- Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)☆1,512Jun 7, 2020Updated 6 years ago
- Official Implementation of Convolutional Normalization: Improving Robustness and Training for Deep Neural Networks☆30Apr 13, 2022Updated 4 years ago
- ☆68Mar 4, 2020Updated 6 years ago
- A challenge to explore adversarial robustness of neural networks on CIFAR10.☆511Aug 30, 2021Updated 4 years ago