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New computational algorithms make it possible to build neural networks with many input nodes and many layers, and distinguish "deep learning" of these networks from previous work on artificial neural nets.
Robin Sandkühler, Simon Andermatt, Grzegorz Bauman, Sylvia Nyilas, Christoph Jud, Philippe C. Cattin
Neural Information Processing SystemsFeb-14-2026, 15:03:45 GMT
Neural Information Processing Systems http://nips.cc/
Neural Information Processing SystemsFeb-14-2026, 15:03:23 GMT
An Zhao, Mingyu Ding, Jiechao Guan, Zhiwu Lu, Tao Xiang, Ji-Rong Wen
Neural Information Processing SystemsFeb-14-2026, 15:02:44 GMT
Neural Information Processing SystemsFeb-14-2026, 15:02:33 GMT
Text-to-Image (T2I) has witnessed significant advancements, demonstrating superior performance for various generative tasks.
Xindian Ma, Peng Zhang, Shuai Zhang, Nan Duan, Yuexian Hou, Ming Zhou, Dawei Song
Neural Information Processing SystemsFeb-14-2026, 15:02:01 GMT
Neural Information Processing SystemsFeb-14-2026, 14:44:05 GMT
Zhilin Yang, Zihang Dai, Yiming Yang, Jaime Carbonell, Russ R. Salakhutdinov, Quoc V. Le
Neural Information Processing SystemsFeb-14-2026, 14:43:33 GMT
Neural Information Processing SystemsFeb-14-2026, 14:42:22 GMT
They exchange 0/1 spikes for processing information, thus most of the multiplications in networks can be replaced by additions.
Sam Wiseman, Yoon Kim
Neural Information Processing SystemsFeb-14-2026, 14:42:05 GMT
Neural Information Processing SystemsFeb-14-2026, 14:20:37 GMT
CaST, which consistently outperforms existing methods with good interpretability.