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目录概Search-based Interest Model (SIM)子序列抽取Exact Search Unit Qi P., Zhu X., Zhou G., Zhang Y., Wang Z., Ren L., Fan Y. and Gai K. Search-based user inte 阅读全文
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目录概LinCIR代码 Gu G., Chun S., Kim W., Kang Y. and Yun S. Language-only efficient training of zero-shot composed image retrieval. CVPR, 2024. 概 本文提出了一种仅在 阅读全文
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目录概Spherical Linear Interpolation (Slerp)Text-Anchored-Tuning (TAT)代码 Jiang Y. K., Huynh D., Shah A., Chen W. and Lim S. Spherical linear interpolatio 阅读全文
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目录概KEDs代码 Suo Y., Ma F., Zhu L. and Yang Y. Knowledge-enhanced dual-stream zero-shot composed image retrieval. CVPR, 2024. 概 以往的 zero-shot Composed Im 阅读全文
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目录概Pic2Word代码 Saito K., Sohn K., Zhang X., Li C., Lee C., Saenko K., and Pfister T. Pic2Word: Mapping pictures to words for zero-shot composed image r 阅读全文
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目录概符号说明Popularity bias 和 具有高相似度相似度随着维度降低而增加相似度随着训练的变化ReSN: Regulartion with Spectral Norm Lin S., Gao C., Chen J., Zhou 阅读全文
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目录概1-bit Adam1-bit SGD代码 Seide F., Fu H., Droppo J., Li G. and Yu D. 1-bit stochastic gradient descent and its application to data-parallel distribute 阅读全文
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目录概MotivationZeROZeRO-OffloadZeRO-InfiniteZeRO++代码 Rajbhandari S., Rasley J., Ruwase O. and He Y. ZeRO: Memory optimizations toward training trillion 阅读全文
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目录概符号说明思路 Li H., Jadbabaie A. and Rakhlin A. Convergence of adam under relaxed assumptions. NeurIPS, 2023. 概 本文探讨了 Adam 再较弱的假设下的收敛性. 作者的证明思路非常有趣, 虽然条件 阅读全文
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目录概符号说明4-bit FQTLearned Step Size QuantizationHadamard QuantizationBit Splitting and Leverage Score Sampling代码 Xi H., Li C., Chen J. and Zhu J. Traini 阅读全文
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目录概主要内容Radix-4 FP4 formatGradScaleTwo-Phase Rounding (TPR) Sun X., Wang N., Chen C., Ni J., Agrawal A., Cui X., Venkataramani S. and Maghraoui K. E. a 阅读全文
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目录概Range Batch Normalization代码 Banner R., Hubara I., Hoffer E. and Soudry D. Scalable methods for 8-bit training of neural networks. NeurIPS, 2018. 概 阅读全文
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目录概主要内容 Wang N., Choi J., Brand D., Chen C. and Gopalakrishnan K. Training deep neural networks with 8-bit floating point numbers. NeurIPS, 2018. 概 本文 阅读全文
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目录概主要内容 Narang S., Diamos G., Elsen E., Micikevicius P., Alben J., Garcia D., Ginsburg B., Houston M., Kuchaiev O., Venkatesh G. and Wu H. Mixed preci 阅读全文
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目录概HAWQ (Hessian AWare Quantization) Dong Z., Yao Z., Gholami A., Mahoney M. W. and Keutzer K. HAWQ: Hessian aware quantization of neural networks wit 阅读全文
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目录概主要内容 Choi J., Wang Z., Venkataramani S., Chuang P. I., Srinivasan V. and Gopalakrishnan K. PACT: Parameterized clipping activation for quantized ne 阅读全文
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目录概主要思想代码 Zhou A., Yao A., Guo Y., Xu L. and Chen Y. Incremental network quantization: Towards lossless cnns with low-precision weights. ICLR, 2017. 概 阅读全文
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目录概Logarithmic Unbiased Quantization代码 Chmiel B., Banner R., Hoffer E., Yaacov H. B. and Soundry D. Accurate neural training with 4-bit matrix multipl 阅读全文
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目录概LPMM代码 Li B., Chen J. and Zhu J. Memory efficient optimizers with 4-bit states. NeurIPS, 2023. 概 本文介绍了一种支持 4-bit 的优化器量化方法. LPMM 这篇文章的工作主要继承自 [8-bit 阅读全文
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目录概8-bit Optimizers Dettmers T., Lewis M., Shleifer S. and Zettlemoyer L. 8-bit optimizers via block-wise quantization. ICLR, 2022. 概 本文提出了一种 8-bit 的优 阅读全文
