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24 search results found

Temporal Shift Module ⭐ 2,005

[ICCV 2019] TSM: Temporal Shift Module for Efficient Video Understanding

Once For All ⭐ 1,777

[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment

Proxylessnas ⭐ 1,408

[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware

[ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices

Nn Meter ⭐ 265

A DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.

[CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision

Hardware Aware Transformers ⭐ 175

[ACL 2020] HAT: Hardware-Aware Transformers for Efficient Natural Language Processing

Amc Models ⭐ 164

[ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices

[CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework

[ICCV 2019] Harmonious Bottleneck on Two Orthogonal Dimensions

Efficient 3D Backbone Network for Temporal Modeling

[KDD'22] Learned Token Pruning for Transformers

[ICML'21] I-BERT: Integer-only BERT Quantization

Any Precision Dnns ⭐ 31

Any-Precision Deep Neural Networks (AAAI 2021)

Neurips Micronet ⭐ 29

[JMLR 2020] NeurIPS 2019 MicroNet Challenge Efficient Language Modeling, Champion

Official implementation of "BiX-NAS: Searching Efficient Bi-directional Architecture for Medical Image Segmentation", MICCAI 2021

S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration (CVPR 2021)

Efficientnet.pytorch ⭐ 26

Concise, Modular, Human-friendly PyTorch implementation of EfficientNet with Pre-trained Weights.

The semantic segmentation of remote sensing images

Mixnet Pytorch ⭐ 16

Concise, Modular, Human-friendly PyTorch implementation of MixNet with Pre-trained Weights.

Kaist Ai Neurips2019 Micronet 2nd Place Solution ⭐ 15

NeurIPSCD2019, MicroNet Challenge hosted by Google, Deepmind Researcher, "Efficient Model for Image Classification With Regularization Tricks".

Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks

Integer-only Zero-shot Quantization for Efficient Speech Recognition

Pytorch Mixnet Ss ⭐ 5

Extremely light-weight MixNet with Top-1 75.7% and 2.5M params

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