Showing results 1 to 4 of 4
Title | Author(s) | Issue Date | |
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BATMANN: A Binarized-All-Through Memory-Augmented Neural Network for Efficient In-Memory Computing Proceeding/Conference:IEEE International Conference on ASIC Proceedings | 2021 | ||
Compression of generative pre-trained language models via quantization Proceeding/Conference:The 60th Annual Conference of the Association for Computational Linguistics (ACL), Outstanding Paper Award | 2022 | ||
Fat: Learning low-bitwidth parametric representation via frequency-aware transformation, Journal:IEEE Transactions on Neural Networks and Learning Systems (TNNLS), IF:14.25 | 2022 | ||
LiteGT: Efficient and Lightweight Graph Transformers Proceeding/Conference:The 30th ACM International Conference on Information and Knowledge Management (CIKM2021) Proceedings | 2021 |