Paper-Conference

SysNoise: Exploring and Benchmarking Training-Deployment System Inconsistency

Jan 1, 2023

Exploiting Subgraph Similarities for Efficient Auto-tuning of Tensor Programs

Jan 1, 2023

Outlier Suppression: Pushing the Limit of Low-bit Transformer Language Models

Sep 27, 2022

QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization

Jan 1, 2022

NNLQP: A Multi-Platform Neural Network Latency Query and Prediction System with An Evolving Database

Jan 1, 2022

Generating Transferable Adversarial Examples against Vision Transformers

Jan 1, 2022

Once Quantization-Aware Training: High Performance Extremely Low-Bit Architecture Search

Oct 1, 2021

MixMix: All You Need for Data-Free Compression Are Feature and Data Mixing

Oct 1, 2021

MQBench: Towards Reproducible and Deployable Model Quantization Benchmark

Jul 1, 2021

A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration

Jul 1, 2021