Full Publications/Events (52)

2022 (34)

• #MLefficiency — Optimizing transformer models for efficiency(Dec 2022)

• One-Click Acceleration of Hugging Face Transformers with Intel’s Neural Coder(Dec 2022)

• One-Click Quantization of Deep Learning Models with the Neural Coder Extension(Dec 2022)

• Accelerate Stable Diffusion with Intel Neural Compressor(Dec 2022)

• Intel together with Tencent deepens the cooperation to build a cloud foundation for digital and intelligent industry (Dec 2022)

• Intel Neural Compressor for TF Virtual Appliance packaged by Bitnami (Nov 2022)

• Neural Compressor: an open-source Python library for network compression (Nov 2022)

• Running Fast Transformers on CPUs: Intel Approach Achieves Significant Speed Ups and SOTA Performance (Nov 2022)

• Personalized Stable Diffusion with Few-Shot Fine-Tuning (Nov 2022)

• Fast DistilBERT on CPUs (Oct 2022)

• Meet the Innovation of Intel AI Software: Intel® Extension for TensorFlow* (Oct 2022)

• PyTorch* Inference Acceleration with Intel® Neural Compressor (Oct 2022)

• Neural Coder, a new plug-in for Intel Neural Compressor was covered by Twitter, LinkedIn, and Intel Developer Zone from Intel, and Twitter and LinkedIn from Hugging Face. (Oct 2022)

• Intel Neural Compressor successfully landed on GCP, AWS, and Azure marketplace. (Oct 2022)

• Neural Coder (Intel Neural Compressor Plug-in): One-Click, No-Code Solution (Pat’s Keynote IntelON 2022) (Sep 2022)

• Alibaba Cloud and Intel Neural Compressor Deliver Better Productivity for PyTorch Users [Chinese version] (Sep 2022)

• Efficient Text Classification with Intel Neural Compressor (Sep 2022)

• Dynamic Neural Architecture Search with Intel Neural Compressor (Sep 2022)

• Easy Quantization in PyTorch Using Fine-Grained FX (Sep 2022)

• One-Click Enabling of Intel Neural Compressor Features in PyTorch Scripts (Aug 2022)

• Deep learning inference optimization for Address Purification (Aug 2022)

• Accelerate AI Inference without Sacrificing Accuracy (Jun 2022)

• PyTorch Inference Acceleration with Intel® Neural Compressor (Jun 2022)

• Intel and Hugging Face Partner to Democratize Machine Learning Hardware Acceleration (Jun 2022)

• Intel® Neural Compressor oneAPI (Jun 2022)

• Intel® Deep Learning Boost - Boost Network Security AI Inference Performance in Google Cloud Platform (GCP) (Apr 2022)

• INC as PT ecosystem project (Apr 2022)

• Dynamic Quantization with Intel Neural Compressor and Transformers (Mar 2022)

• New instructions in the Intel® Xeon® Scalable processors combined with optimized software frameworks enable real-time AI within network workloads (Feb 2022)

• Quantizing ONNX Models using Intel® Neural Compressor (Feb 2022)

• Quantize AI Model by Intel® oneAPI AI Analytics Toolkit on Alibaba Cloud (Feb 2022)

• Intel Neural Compressor Quantization with SigOpt (Jan 2022)

• AI Performance and Productivity with Intel® Neural Compressor (Jan 2022)

• Ease-of-use quantization for PyTorch with Intel® Neural Compressor (Jan 2022)

2021 (14)

• Intel Neural Compressor Tutorial on BiliBili (Dec 2021)

• Faster AI/ML Results With Intel Neural Compressor (Dec 2021)

• Prune Once for All: Sparse Pre-Trained Language Models (Nov 2021)

• Faster, Easier Optimization with Intel® Neural Compressor (Nov 2021)

• Accelerate Deep Learning with Intel® Extension for TensorFlow* (Oct 2021)

• Intel® Neural Compressor: A Scalable Quantization Tool for ONNX Models (Oct 2021)

• A “Double Play” for MLPerf™ Inference Performance Gains with 3rd Generation Intel® Xeon® Scalable Processors (Sep 2021)

• Optimize TensorFlow Pre-trained Model for Inference (Jun 2021)

• 3D Digital Face Reconstruction Solution enabled by 3rd Gen Intel® Xeon® Scalable Processors (Apr 2021)

• Accelerating Alibaba Transformer model performance with 3rd Gen Intel® Xeon® Scalable Processors (Ice Lake) and Intel® Deep Learning Boost (Apr 2021)

• MLPerf™ Performance Gains Abound with latest 3rd Generation Intel® Xeon® Scalable Processors (Apr 2021)

• Using Low-Precision Optimizations for High-Performance DL Inference Applications (Apr 2021)

• Quantization support for ONNX using LPOT (Low precision optimization tool) (Mar 2021)

• DL Boost Quantization with CERN’s 3D-GANs model (Feb 2021)

2018 - 2020 (4)

• Reduced Precision Strategies for Deep Learning: 3DGAN Use Case - presentation on 4th IML Machine Learning Workshop (Oct 2020)

• Intel Neural Compressor (Sep 2020)

• Lower Numerical Precision Deep Learning Inference and Training (May 2018)

• Highly Efficient 8-bit Low Precision Inference of Convolutional Neural Networks with IntelCaffe (May 2018)