diff --git a/src/blog_embodied_ai.md b/src/blog_embodied_ai.md index bcb3028..0d2f8d2 100644 --- a/src/blog_embodied_ai.md +++ b/src/blog_embodied_ai.md @@ -5,7 +5,6 @@ - [Survey Paper](#survey-paper) - [Vision-Language Navigation](#vision-language-navigation) - [Embodied Agents](#embodied-agents) - - [SNNs](#snns) --- @@ -78,51 +77,3 @@ _Yandan Yang, Baoxiong Jia, Peiyuan Zhi, Siyuan Huang_ _Jiangyong Huang, Silong Yong, Xiaojian Ma, Xiongkun Linghu, Puhao Li, Yan Wang, Qing Li, Song-Chun Zhu, Baoxiong Jia, Siyuan Huang_ --- - -## SNNs - -### Awesome Spiking Neural Networks [[github]](https://github.com/zhouchenlin2096/Awesome-Spiking-Neural-Networks) - -### [IEEE Transactions on Artificial Intelligence 2024] Spiking Diffusion Models [[PDF]](https://www.arxiv.org/abs/2408.16467) -_Jiahang Cao, Hanzhong Guo, Ziqing Wang, Deming Zhou, Hao Cheng, Qiang Zhang, Renjing Xu_ -- ![](../assets/fig_embodied/2.png) - -### [arXiv 2023] Spiking-Diffusion: Vector Quantized Discrete Diffusion Model with Spiking Neural Networks [[PDF]](https://arxiv.org/abs/2308.10187) -_Mingxuan Liu, Jie Gan, Rui Wen, Tao Li, Yongli Chen, Hong Chen_ -- ![](../assets/fig_embodied/1.png) - -### [AAAI 2022] Fully Spiking Variational Autoencoder [[PDF]](https://arxiv.org/abs/2110.00375) -_Hiromichi Kamata, Yusuke Mukuta, Tatsuya Harada_ -- ![](../assets/fig_embodied/3.png) - -### [arXiv 2023] Spiking Generative Adversarial Network with Attention Scoring Decoding [[PDF]](https://arxiv.org/abs/2305.10246) -_Linghao Feng, Dongcheng Zhao, Yi Zeng_ - -### [arXiv 2023] Fully Spiking Denoising Diffusion Implicit Models [[PDF]](https://arxiv.org/abs/2312.01742) -_Ryo Watanabe, Yusuke Mukuta, Tatsuya Harada_ -- ![](../assets/fig_embodied/4.png) -- ![](../assets/fig_embodied/5.png) - -### [IEEE TPAMI 2023] Fast-SNN: Fast Spiking Neural Network by Converting Quantized ANN [[PDF]](https://arxiv.org/abs/2305.19868) -_Yangfan Hu, Qian Zheng, Xudong Jiang, Gang Pan_ -- ![](../assets/fig_embodied/6.png) - -### [ECCV 2022] Neural Architecture Search for Spiking Neural Networks [[PDF]](https://arxiv.org/abs/2201.10355) -_Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Priyadarshini Panda_ - -### [NeurIPS 2024] SpikeLLM: Scaling up Spiking Neural Network to Large Language Models via Saliency-based Spiking [[PDF]](https://arxiv.org/pdf/2407.04752v1) -_Xingrun Xing, Boyan Gao, Zheng Zhang, David A. Clifton, Shitao Xiao, Li Du, Guoqi Li, Jiajun Zhang_ - -### [ICML 2024] SpikeLM: Towards General Spike-Driven Language Modeling via Elastic Bi-Spiking Mechanisms [[PDF]](https://arxiv.org/abs/2406.03287) -_Xingrun Xing, Zheng Zhang, Ziyi Ni, Shitao Xiao, Yiming Ju, Siqi Fan, Yequan Wang, Jiajun Zhang, Guoqi Li_ - -### [ECCV 2024] Integer-Valued Training and Spike-Driven Inference Spiking Neural Network for High-performance and Energy-efficient Object Detection [[PDF]](https://www.arxiv.org/abs/2407.20708) -_Xinhao Luo, Man Yao, Yuhong Chou, Bo Xu, Guoqi Li_ - -### [IEEE TSIP 2022] Federated Learning with Spiking Neural Networks [[PDF]](https://arxiv.org/abs/2106.06579) -_Yeshwanth Venkatesha, Youngeun Kim, Leandros Tassiulas, Priyadarshini Panda_ - -### [IEEE TPAMI 2021] Progressive Tandem Learning for Pattern Recognition with Deep Spiking Neural Networks [[PDF]](https://arxiv.org/abs/2007.01204) -_Jibin Wu, Chenglin Xu, Daquan Zhou, Haizhou Li, Kay Chen Tan_ - ---- \ No newline at end of file diff --git a/src/blog_snns.md b/src/blog_snns.md new file mode 100644 index 0000000..ef08a81 --- /dev/null +++ b/src/blog_snns.md @@ -0,0 +1,56 @@ +# Blog SNNs Related + +--- +## Contents + - [SNNs](#snns) + +--- + + +## SNNs + +### Awesome Spiking Neural Networks [[github]](https://github.com/zhouchenlin2096/Awesome-Spiking-Neural-Networks) + +### [IEEE Transactions on Artificial Intelligence 2024] Spiking Diffusion Models [[PDF]](https://www.arxiv.org/abs/2408.16467) +_Jiahang Cao, Hanzhong Guo, Ziqing Wang, Deming Zhou, Hao Cheng, Qiang Zhang, Renjing Xu_ +- ![](../assets/fig_embodied/2.png) + +### [arXiv 2023] Spiking-Diffusion: Vector Quantized Discrete Diffusion Model with Spiking Neural Networks [[PDF]](https://arxiv.org/abs/2308.10187) +_Mingxuan Liu, Jie Gan, Rui Wen, Tao Li, Yongli Chen, Hong Chen_ +- ![](../assets/fig_embodied/1.png) + +### [AAAI 2022] Fully Spiking Variational Autoencoder [[PDF]](https://arxiv.org/abs/2110.00375) +_Hiromichi Kamata, Yusuke Mukuta, Tatsuya Harada_ +- ![](../assets/fig_embodied/3.png) + +### [arXiv 2023] Spiking Generative Adversarial Network with Attention Scoring Decoding [[PDF]](https://arxiv.org/abs/2305.10246) +_Linghao Feng, Dongcheng Zhao, Yi Zeng_ + +### [arXiv 2023] Fully Spiking Denoising Diffusion Implicit Models [[PDF]](https://arxiv.org/abs/2312.01742) +_Ryo Watanabe, Yusuke Mukuta, Tatsuya Harada_ +- ![](../assets/fig_embodied/4.png) +- ![](../assets/fig_embodied/5.png) + +### [IEEE TPAMI 2023] Fast-SNN: Fast Spiking Neural Network by Converting Quantized ANN [[PDF]](https://arxiv.org/abs/2305.19868) +_Yangfan Hu, Qian Zheng, Xudong Jiang, Gang Pan_ +- ![](../assets/fig_embodied/6.png) + +### [ECCV 2022] Neural Architecture Search for Spiking Neural Networks [[PDF]](https://arxiv.org/abs/2201.10355) +_Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Priyadarshini Panda_ + +### [NeurIPS 2024] SpikeLLM: Scaling up Spiking Neural Network to Large Language Models via Saliency-based Spiking [[PDF]](https://arxiv.org/pdf/2407.04752v1) +_Xingrun Xing, Boyan Gao, Zheng Zhang, David A. Clifton, Shitao Xiao, Li Du, Guoqi Li, Jiajun Zhang_ + +### [ICML 2024] SpikeLM: Towards General Spike-Driven Language Modeling via Elastic Bi-Spiking Mechanisms [[PDF]](https://arxiv.org/abs/2406.03287) +_Xingrun Xing, Zheng Zhang, Ziyi Ni, Shitao Xiao, Yiming Ju, Siqi Fan, Yequan Wang, Jiajun Zhang, Guoqi Li_ + +### [ECCV 2024] Integer-Valued Training and Spike-Driven Inference Spiking Neural Network for High-performance and Energy-efficient Object Detection [[PDF]](https://www.arxiv.org/abs/2407.20708) +_Xinhao Luo, Man Yao, Yuhong Chou, Bo Xu, Guoqi Li_ + +### [IEEE TSIP 2022] Federated Learning with Spiking Neural Networks [[PDF]](https://arxiv.org/abs/2106.06579) +_Yeshwanth Venkatesha, Youngeun Kim, Leandros Tassiulas, Priyadarshini Panda_ + +### [IEEE TPAMI 2021] Progressive Tandem Learning for Pattern Recognition with Deep Spiking Neural Networks [[PDF]](https://arxiv.org/abs/2007.01204) +_Jibin Wu, Chenglin Xu, Daquan Zhou, Haizhou Li, Kay Chen Tan_ + +--- \ No newline at end of file