🏛️ The Neural & Evolutionary Crypt

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Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results

Antti Tarvainen, Harri Valpola

cs.NE 🏛 arXiv 📚 1.2K cites 9 years ago

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Regularizing Neural Networks by Penalizing Confident Output Distributions

Gabriel Pereyra, George Tucker, ... (+3 more)

cs.NE 🏛 ICLR 📚 1.2K cites 9 years ago

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SCNN: An Accelerator for Compressed-sparse Convolutional Neural Networks

Angshuman Parashar, Minsoo Rhu, ... (+7 more)

cs.NE 🏛 ISCA 📚 1.2K cites 8 years ago

🌅 🌅 Old Age

Dynamic Network Surgery for Efficient DNNs

Yiwen Guo, Anbang Yao, Yurong Chen

cs.NE 🏛 NeurIPS 📚 1.1K cites 9 years ago

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Hamiltonian Neural Networks

Sam Greydanus, Misko Dzamba, Jason Yosinski

cs.NE 🏛 NeurIPS 📚 1.1K cites 6 years ago

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Training Deep Spiking Neural Networks using Backpropagation

Jun Haeng Lee, Tobi Delbruck, Michael Pfeiffer

cs.NE 🏛 Frontiers in Neuroscience 📚 1.0K cites 9 years ago

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Deep Complex Networks

Chiheb Trabelsi, Olexa Bilaniuk, ... (+8 more)

cs.NE 🏛 ICLR 📚 960 cites 8 years ago

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A Neural Representation of Sketch Drawings

David Ha, Douglas Eck

cs.NE 🏛 ICLR 📚 948 cites 9 years ago

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Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures

Hengyuan Hu, Rui Peng, ... (+2 more)

cs.NE 🏛 arXiv 📚 945 cites 9 years ago

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PathNet: Evolution Channels Gradient Descent in Super Neural Networks

Chrisantha Fernando, Dylan Banarse, ... (+6 more)

cs.NE 🏛 arXiv 📚 943 cites 9 years ago

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Evolving Deep Neural Networks

Risto Miikkulainen, Jason Liang, ... (+9 more)

cs.NE 🏛 AI 📚 940 cites 9 years ago

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Fast Algorithms for Convolutional Neural Networks

Andrew Lavin, Scott Gray

cs.NE 🏛 CVPR 📚 931 cites 10 years ago

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Going Deeper in Facial Expression Recognition using Deep Neural Networks

Ali Mollahosseini, David Chan, Mohammad H. Mahoor

cs.NE 🏛 WACV W 📚 931 cites 10 years ago

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Gated Feedback Recurrent Neural Networks

Junyoung Chung, Caglar Gulcehre, ... (+2 more)

cs.NE 🏛 ICML 📚 884 cites 11 years ago

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SLAYER: Spike Layer Error Reassignment in Time

Sumit Bam Shrestha, Garrick Orchard

cs.NE 🏛 NeurIPS 📚 875 cites 7 years ago

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Neural NILM: Deep Neural Networks Applied to Energy Disaggregation

Jack Kelly, William Knottenbelt

cs.NE 🏛 ICSEBE 📚 851 cites 10 years ago

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Understanding LSTM -- a tutorial into Long Short-Term Memory Recurrent Neural Networks

Ralf C. Staudemeyer, Eric Rothstein Morris

cs.NE 🏛 arXiv 📚 849 cites 6 years ago

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Nature-Inspired Optimization Algorithms: Challenges and Open Problems

Xin-She Yang

cs.NE 🏛 J.CS 📚 843 cites 6 years ago

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Model compression via distillation and quantization

Antonio Polino, Razvan Pascanu, Dan Alistarh

cs.NE 🏛 ICLR 📚 809 cites 8 years ago

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Structured Pruning of Deep Convolutional Neural Networks

Sajid Anwar, Kyuyeon Hwang, Wonyong Sung

cs.NE 🏛 ACM Journal on Emerging Technologies in Computing Systems 📚 794 cites 10 years ago

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A Survey of Neuromorphic Computing and Neural Networks in Hardware

Catherine D. Schuman, Thomas E. Potok, ... (+5 more)

cs.NE 🏛 arXiv 📚 765 cites 8 years ago

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Dynamic Memory Networks for Visual and Textual Question Answering

Caiming Xiong, Stephen Merity, Richard Socher

cs.NE 🏛 ICML 📚 765 cites 10 years ago

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Direct Training for Spiking Neural Networks: Faster, Larger, Better

Yujie Wu, Lei Deng, ... (+3 more)

cs.NE 🏛 AAAI 📚 753 cites 7 years ago

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A Simple Way to Initialize Recurrent Networks of Rectified Linear Units

Quoc V. Le, Navdeep Jaitly, Geoffrey E. Hinton

cs.NE 🏛 arXiv 📚 748 cites 11 years ago