{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,20]],"date-time":"2025-09-20T20:15:23Z","timestamp":1758399323978,"version":"3.28.0"},"reference-count":18,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,12,5]],"date-time":"2021-12-05T00:00:00Z","timestamp":1638662400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,12,5]],"date-time":"2021-12-05T00:00:00Z","timestamp":1638662400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,12,5]],"date-time":"2021-12-05T00:00:00Z","timestamp":1638662400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,12,5]]},"DOI":"10.1109\/dac18074.2021.9586109","type":"proceedings-article","created":{"date-parts":[[2021,11,8]],"date-time":"2021-11-08T23:30:34Z","timestamp":1636414234000},"page":"1027-1032","source":"Crossref","is-referenced-by-count":11,"title":["TAIT: One-Shot Full-Integer Lightweight DNN Quantization via Tunable Activation Imbalance Transfer"],"prefix":"10.1109","author":[{"given":"Weixiong","family":"Jiang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Heng","family":"Yu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xinzhe","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hao","family":"Sun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rui","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yajun","family":"Ha","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","first-page":"2704","article-title":"Quantization and training of neural networks for efficient integer-arithmetic-only inference","author":"benoit","year":"2018","journal-title":"CVPR"},{"key":"ref11","first-page":"163","article-title":"Design flow of accelerating hybrid extremely low bit-width neural network in embedded fpga","author":"junsong","year":"2018","journal-title":"FPL"},{"key":"ref12","first-page":"2810","article-title":"Fully quantized network for object detection","author":"rundong","year":"2019","journal-title":"CVPR"},{"key":"ref13","first-page":"1325","article-title":"Data-free quantization through weight equalization and bias correction","author":"markus","year":"2019","journal-title":"CVPR"},{"key":"ref14","first-page":"13169","article-title":"ZeroQ: A novel zero shot quantization framework","author":"yaohui","year":"2020","journal-title":"CVPR"},{"key":"ref15","article-title":"Successive log quantization for cost-efficient neural networks using stochastic computing","author":"sugil","year":"2019","journal-title":"DAC"},{"key":"ref16","first-page":"871","article-title":"CMix-NN: Mixed low-precision cnn library for memory-constrained edge devices","volume":"67","author":"alessandro","year":"2020","journal-title":"TCASII"},{"key":"ref17","first-page":"40","article-title":"AutoDNNchip: An automated dnn chip predictor and builder for both fpgas and asics","author":"pengfei","year":"2020","journal-title":"FPGA"},{"key":"ref18","first-page":"7263","article-title":"YOLO9000: better, faster, stronger","author":"joseph","year":"2017","journal-title":"CVPR"},{"key":"ref4","first-page":"1474","article-title":"Understanding the impact of precision quantization on the accuracy and energy of neural networks","author":"soheil","year":"2017","journal-title":"DATE"},{"key":"ref3","first-page":"216","article-title":"SkyNet: a hardware-efficient method for object detection and tracking on embedded systems","author":"xiaofan","year":"2020","journal-title":"MLSys"},{"key":"ref6","article-title":"Compensated-DNN: energy efficient low-precision deep neural networks by compensating quantization errors","author":"shubham","year":"2018","journal-title":"DAC"},{"key":"ref5","article-title":"A new stochastic computing multiplier with application to deep convolutional neural networks","author":"hyeonuk","year":"2017","journal-title":"DAC"},{"key":"ref8","article-title":"Quantizing deep convolutional networks for efficient inference: A whitepaper","author":"raghuraman","year":"2018","journal-title":"arXiv 1806 08342"},{"key":"ref7","article-title":"DPS: Dynamic precision scaling for stochastic computing-based deep neural networks","author":"hyeonuk","year":"2018","journal-title":"DAC"},{"key":"ref2","first-page":"6105","article-title":"EfficientNet: Rethinking model scaling for convolutional neural networks","author":"mingxing","year":"2019","journal-title":"ICML"},{"key":"ref1","first-page":"4510","article-title":"MobileNetv2: Inverted residuals and linear bottlenecks","author":"mark","year":"2018","journal-title":"CVPR"},{"key":"ref9","first-page":"365","article-title":"LQ-Nets: Learned quantization for accurate and compact deep neural networks","author":"dongqing","year":"2018","journal-title":"ECCV"}],"event":{"name":"2021 58th ACM\/IEEE Design Automation Conference (DAC)","start":{"date-parts":[[2021,12,5]]},"location":"San Francisco, CA, USA","end":{"date-parts":[[2021,12,9]]}},"container-title":["2021 58th ACM\/IEEE Design Automation Conference (DAC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9585997\/9586083\/09586109.pdf?arnumber=9586109","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T16:55:54Z","timestamp":1652201754000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9586109\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12,5]]},"references-count":18,"URL":"https:\/\/doi.org\/10.1109\/dac18074.2021.9586109","relation":{},"subject":[],"published":{"date-parts":[[2021,12,5]]}}}