[ICML 2021] "Double-Win Quant: Aggressively Winning Robustness of Quantized DeepNeural Networks via Random Precision Training and Inference" by Yonggan Fu, Qixuan Yu, Meng Li, Vikas Chandra, Yingyan Lin
☆16Feb 13, 2022Updated 4 years ago
Alternatives and similar repositories for Double-Win-Quant
Users that are interested in Double-Win-Quant are comparing it to the libraries listed below
Sorting:
- [NeurIPS 2021] "Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized Networks" by Yon…☆13Feb 13, 2022Updated 4 years ago
- Code needed to reproduce results from my ICLR 2019 paper on fixed-point quantization of the backprop algorithm.☆10Jan 24, 2019Updated 7 years ago
- The official code for [ECCV2020] "HALO: Hardware-aware Learning to Optimize"☆10Mar 22, 2023Updated 2 years ago
- [ICASSP'20] DNN-Chip Predictor: An Analytical Performance Predictor for DNN Accelerators with Various Dataflows and Hardware Architecture…☆25Oct 1, 2022Updated 3 years ago
- [NeurIPS2021] Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks☆33Jul 5, 2024Updated last year
- ☆29Nov 5, 2021Updated 4 years ago
- [ICLR 2021 Spotlight] "CPT: Efficient Deep Neural Network Training via Cyclic Precision" by Yonggan Fu, Han Guo, Meng Li, Xin Yang, Yinin…☆31Mar 2, 2024Updated 2 years ago
- Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples [NeurIPS 2021]☆34Dec 12, 2021Updated 4 years ago
- [NeurIPS 2023] ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer☆30Dec 6, 2023Updated 2 years ago
- MATLAB/Octave generator of Hamming ECC coding. Output format is Verilog HDL.☆12Dec 27, 2022Updated 3 years ago
- ProxQuant: Quantized Neural Networks via Proximal Operators☆30Feb 19, 2019Updated 7 years ago
- gradient norm penalty☆41Jun 17, 2024Updated last year
- Big Data and Machine Intelligence, Spring 2021.☆12Jul 2, 2021Updated 4 years ago
- Official Implementation for CVPR 2025 paper Instant Adversarial Purification with Adversarial Consistency Distillation.☆15Dec 19, 2025Updated 2 months ago
- ☆12Aug 26, 2016Updated 9 years ago
- ☆57Nov 29, 2025Updated 3 months ago
- LSA : Layer Sustainability Analysis framework for the analysis of layer vulnerability in a given neural network. LSA can be a helpful too…☆18Mar 22, 2022Updated 3 years ago
- Revisit Kernel Pruning with Lottery Regulated Grouped Convolutions. ICLR 2022☆11Nov 24, 2022Updated 3 years ago
- Jumpstart your custom DNN accelerator today. This project holds scripts to build and start containers that can compile binaries to the ze…☆10Jun 17, 2020Updated 5 years ago
- Multimedia SoC Design with Specialization on Application Acceleration with High-Level-Synthesis [2020 Fall]☆12Jun 15, 2021Updated 4 years ago
- An Tensorflow.keras implementation of Same, Same But Different - Recovering Neural Network Quantization Error Through Weight Factorizatio…☆10Dec 18, 2019Updated 6 years ago
- https://nnsmith-asplos.rtfd.io Artifact of "NNSmith: Generating Diverse and Valid Test Cases for Deep Learning Compilers" ASPLOS'23☆11Mar 29, 2023Updated 2 years ago
- Implementation of NM sparsity recipe presented in the paper "Progressive Gradient Flow for Robust N:M Sparsity Training in Transformers".☆11Feb 5, 2024Updated 2 years ago
- Official Code Implementation for the CCS 2022 Paper "On the Privacy Risks of Cell-Based NAS Architectures"☆11Nov 21, 2022Updated 3 years ago
- 本仓库储存了全志V3s芯片的开发板相关资料。仓库中包含了开发板原理图、PCB和制造文件以及相对应的u-boot、Linux Kernel、Buildroot的构建脚本。This repository stores development board related inf…☆13Sep 5, 2023Updated 2 years ago
- Code for "Training Adversarially Robust Sparse Networks via Bayesian Connectivity Sampling" [ICML 2021]☆10Mar 14, 2022Updated 3 years ago
- Computational Memory Neural Network Compiler☆11Aug 11, 2021Updated 4 years ago
- 《人工智能法规、伦理与社会影响》书稿☆13Aug 28, 2021Updated 4 years ago
- A DDR3 Controller that uses the Xilinx MIG-7 PHY to interface with DDR3 devices.☆11Aug 22, 2021Updated 4 years ago
- Verilog RTL Implementation of DNN☆10Jun 26, 2018Updated 7 years ago
- [ICML 2025] LaCache: Ladder-Shaped KV Caching for Efficient Long-Context Modeling of Large Language Models☆17Nov 4, 2025Updated 4 months ago
- This is Max's blog, something interesting in it.☆13Jan 1, 2023Updated 3 years ago
- [CVPR2025] Divide and Conquer: Heterogeneous Noise Integration for Diffusion-based Adversarial Purification☆15Nov 9, 2025Updated 3 months ago
- Chameleon: A MatMul-Free TCN Accelerator for End-to-End Few-Shot and Continual Learning from Sequential Data☆26Jun 6, 2025Updated 8 months ago
- KAF : Kolmogorov-Arnold Fourier Networks☆20Feb 19, 2025Updated last year
- Model summary of keras pre-trained neural networks.☆12Aug 1, 2019Updated 6 years ago
- MoE-Visualizer is a tool designed to visualize the selection of experts in Mixture-of-Experts (MoE) models.☆16Apr 8, 2025Updated 10 months ago
- PyTorch code for full quantization of DNN using BCGD☆14Jul 24, 2019Updated 6 years ago
- ☆16Feb 23, 2025Updated last year