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Poster
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Wed 14:00 |
A Theoretical Framework for Inference Learning Nick Alonso · Beren Millidge · Jeffrey Krichmar · Emre O Neftci |
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Poster
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Training Spiking Neural Networks with Event-driven Backpropagation Yaoyu Zhu · Zhaofei Yu · Wei Fang · Xiaodong Xie · Tiejun Huang · Timothée Masquelier |
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Poster
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Thu 14:00 |
Biologically-plausible backpropagation through arbitrary timespans via local neuromodulators Yuhan Helena Liu · Stephen Smith · Stefan Mihalas · Eric Shea-Brown · Uygar Sümbül |
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Poster
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Tue 14:00 |
Real-Valued Backpropagation is Unsuitable for Complex-Valued Neural Networks Zhi-Hao Tan · Yi Xie · Yuan Jiang · Zhi-Hua Zhou |
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Poster
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Tue 9:00 |
Sparse Fourier Backpropagation in Cryo-EM Reconstruction Dari Kimanius · Kiarash Jamali · Sjors Scheres |
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Poster
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Thu 9:00 |
An In-depth Study of Stochastic Backpropagation Jun Fang · Mingze Xu · Hao Chen · Bing Shuai · Zhuowen Tu · Joseph Tighe |
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Poster
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Thu 9:00 |
Back Razor: Memory-Efficient Transfer Learning by Self-Sparsified Backpropagation Ziyu Jiang · Xuxi Chen · Xueqin Huang · Xianzhi Du · Denny Zhou · Zhangyang Wang |
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Workshop
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Scaling Laws Beyond Backpropagation Matthew Filipovich · Alessandro Cappelli · Daniel Hesslow · Julien Launay |
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Workshop
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Spike-and-Slab Probabilistic Backpropagation: When Smarter Approximations Make No Difference Evan Ott · Sinead Williamson |
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Workshop
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Discrete Learning Of DAGs Via Backpropagation Andrew Wren · Pasquale Minervini · Luca Franceschi · Valentina Zantedeschi |
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Workshop
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Fri 9:30 |
Discrete Learning Of DAGs Via Backpropagation Andrew Wren · Pasquale Minervini · Luca Franceschi · Valentina Zantedeschi |
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Workshop
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Discrete Learning Of DAGs Via Backpropagation Andrew Wren · Pasquale Minervini · Luca Franceschi · Valentina Zantedeschi |