Accepted Papers
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- Reinforcement Learning with Chromatic Networks for Compact Architecture Search
Xingyou Song, Krzysztof Choromanski, Jack Parker-Holder, Yunhao Tang, Wenbo Gao, Aldo Pacchiano, Tamas Sarlos, Deepali Jain and Yuxiang Yang
- AOWS: adaptive and optimal network width search with latency constraints
Maxim Berman, Leonid Pishchulin, Ning Xu, Matthew Blashcko and Gerard Medioni
- Towards Modular Neural Architecture Search
Lars Boecking, Patrick Philipp and Cedric Kulbach
- schuBERT: Optimizing Elements of BERT
Ashish Khetan and Zohar Karnin
- Variational Depth Search in ResNets
Javier Antoran, James Urquhart Allingham and José Miguel Hernández-Lobato
- A Constructive Prediction of the Generalization Error Across Scales
Jonathan Rosenfeld, Amir Rosenfeld, Yonatan Belinkov and Nir Shavit
- Transfer Neural Architecture Search
Martin Wistuba
- A Closer Look at Reinforcement Learning for Neural Network Architecture Search
James A. Preiss, Eugen Hotaj and Hanna Mazzawi
- DARC: Differentiable ARchitecture Compression
Shashank Singh, Ashish Khetan and Zohar Karnin
- PruneNet: Channel Pruning via Global Importance
Ashish Khetan and Zohar Karnin
- FG-SAS: Fine-Grained Stochastic Architecture Search
Shraman Ray Chaudhuri, Yair Movshovitz-Attias, Elad Eban, Max Moroz and Hanhan Li
- DMS: Differentiable Dimension Search for Binary Neural Networks
Yuhang Li, Ruihao Gong, Fengwei Yu, Xin Dong and Xianglong Liu
- ReLU Code Space: A Basis for Rating Network Quality Besides Accuracy
Natalia Shepeleva, Werner Zellinger, Michal Lewandowski and Bernhard Moser
- Differential Evolution for Neural Architecture Search
Noor Awad, Neeratyoy Mallik and Frank Hutter
- Towards an Understanding of Stochastic Differentiable Neural Architecture Search
Gabriel Meyer-Lee and Nick Cheney