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[MICCAI 2021] BiX-NAS: Searching Efficient Bi-directional Architecture for Medical Image Segmentation
[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment
[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
[ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices
[CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision
A DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.
[NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization
[ACL'20] HAT: Hardware-Aware Transformers for Efficient Natural Language Processing
[CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework
[ICML'21 Oral] I-BERT: Integer-only BERT Quantization