🔗 Who cites «BinaryConnect: Training Deep Neural Networks with binary weights during propagations»

141 papers of our library cite it (of the 149,439 whose bibliographies we read) · 15 with a page here, the most cited first · ← back to «BinaryConnect: Training Deep Neural Networks with binary weights during propagations»

1. XNOR-Net: ImageNet Classification Using Binary Convolutional Neural NetworksLecture notes in computer scienceMohammad Rastegari, Vicente Ordonez, Joseph Redmon, et al.2016 · 4,402 citations
2. Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1arXiv:1602.02830Matthieu Courbariaux, Itay Hubara, Daniel Soudry, et al.2016 · 2,143 citations
3. Quantized Neural Networks: Training Neural Networks with Low Precision Weights and ActivationsarXiv:1609.07061Itay Hubara, Matthieu Courbariaux, Daniel Soudry, et al.2016 · 1,610 citations
4. TVM: An Automated End-to-End Optimizing Compiler for Deep LearningarXiv:1802.04799Tianqi Chen, Thierry Moreau, Ziheng Jiang, et al.2018 · 1,384 citations
5. ProxylessNAS: Direct Neural Architecture Search on Target Task and HardwarearXiv:1812.00332Han Cai, Ligeng Zhu, Song Han2018 · 479 citations
6. Demystifying Parallel and Distributed Deep Learning: An In-Depth Concurrency AnalysisACM Computing Surveys 2019Tal Ben-Nun, Torsten Hoefler2018 · 275 citations
7. Once-for-All: Train One Network and Specialize it for Efficient DeploymentarXiv:1908.09791Han Cai, Chuang Gan, Tianzhe Wang, et al.2019 · 252 citations
8. 8-bit Optimizers via Block-wise QuantizationarXiv:2110.02861Tim Dettmers, Mike Lewis, Sam Shleifer, et al.2021 · 181 citations
9. BinaryBERT: Pushing the Limit of BERT QuantizationAnnual Meeting of the Association for Computational Linguistics (ACL)Haoli Bai, Wei Zhang, Lu Hou, et al.2021 · 166 citations
10. Efficient Processing of Deep Neural Networks: A Tutorial and SurveyProceedings of the IEEE 2017Vivienne Sze, Yu-Hsin Chen, Tien-Ju Yang, et al.2017 · 146 citations
11. Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and DiscoveryConference on Neural Information Processing Systems (NeurIPS)Yuxin Wen, Neel Jain, John Kirchenbauer, et al.2023 · 141 citations
12. I-BERT: Integer-only BERT QuantizationInternational Conference on Machine Learning (ICML)Sehoon Kim, Amir Gholami, Zhewei Yao, et al.2021 · 122 citations
13. LLM Inference Unveiled: Survey and Roofline Model InsightsarXiv 2024Zhihang Yuan, Yuzhang Shang, Yang Zhou, et al.2024 · 91 citations
14. FBI-LLM: Scaling Up Fully Binarized LLMs from Scratch via Autoregressive DistillationarXiv:2407.07093Liqun Ma, Mingjie Sun, Zhiqiang Shen2024 · 7 citations
15. GRASPrune: Global Gating for Budgeted Structured Pruning of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Ziyang Wang, Jiangfeng Xiao, Chuan Xiao, et al.2026

126 more papers of our library cite it; they have no page here yet.

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