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Binary Neural Networks (BNNs) have received significant attention due to their promising efficiency.
Binarized neural networks: Training deep neural networks with weights and activations constrained to +1 or -1
Matthieu Courbariaux, Itay Hubara, Daniel Soudry, Ran El-Yaniv, and Yoshua Bengio · 2016
Earlier work this paper cites.
Deep compression: Compressing deep neural networks with pruning, trained quantization and huffman coding
Song Han, Huizi Mao, and William J Dally · 2016
Earlier work this paper cites.
Categorical reparameterization with gumbel-softmax
Eric Jang, Shixiang Gu, and Ben Poole · 2016
Earlier work this paper cites.
Xnor-net: Imagenet classification using binary convolutional neural networks
Mohammad Rastegari, Vicente Ordonez, Joseph Redmon, and Ali Farhadi · 2016
Earlier work this paper cites.
Learning structured sparsity in deep neural networks
Wei Wen, Chunpeng Wu, Yandan Wang, Yiran Chen, and Hai Li · 2016
Earlier work this paper cites.
Quantized neural networks: Training neural networks with low precision weights and activations
Itay Hubara, Matthieu Courbariaux, Daniel Soudry, Ran El-Yaniv, and Yoshua Bengio · 2017
Earlier work this paper cites.
Training competitive binary neural networks from scratch
Joseph Bethge, Marvin Bornstein, Adrian Loy, Haojin Yang, and C. Meinel · 2018
Earlier work this paper cites.
Darts: Differentiable architecture search
Hanxiao Liu, Karen Simonyan, and Yiming Yang · 2018
Earlier work this paper cites.
Bi-real net: Enhancing the performance of 1-bit cnns with improved representational capability and advanced training algorithm
Zechun Liu, Baoyuan Wu, Wenhan Luo, Xin Yang, Wei Liu, and Kwang-Ting Cheng · 2018
Earlier work this paper cites.
Apprentice: Using knowledge distillation techniques to improve low-precision network accuracy
A. Mishra and Debbie Marr · 2018
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Efficient neural architecture search via parameter sharing
Hieu Pham, Melody Y. Guan, Barret Zoph, Quoc V. Le, and Jeff Dean · 2018
Earlier work this paper cites.
Mobilenetv2: Inverted residuals and linear bottlenecks
M. Sandler, A. Howard, M. Zhu, A. Zhmoginov, and L. Chen · 2018
Earlier work this paper cites.
Lq-nets: Learned quantization for highly accurate and compact deep neural networks
D. Zhang, J. Yang, Dongqiangzi Ye, and Gang Hua · 2018
Cited alongside, same era.
Shufflenet: An extremely efficient convolutional neural network for mobile devices
X. Zhang, X. Zhou, M. Lin, and J. Sun · 2018
Cited alongside, same era.
Learning transferable architectures for scalable image recognition
Barret Zoph, V. Vasudevan, Jonathon Shlens, and Quoc V. Le · 2018
Cited alongside, same era.
Binarydensenet: Developing an architecture for binary neural networks
J. Bethge, H. Yang, M. Bornstein, and C. Meinel · 2019
Cited alongside, same era.
Xnor-net++: Improved binary neural networks
Adrian Bulat and Georgios Tzimiropoulos · 2019
Cited alongside, same era.
Progressive differentiable architecture search: Bridging the depth gap between search and evaluation
Pc-darts: Partial channel connections for memory-efficient differentiable architecture search
Yuhui Xu, Lingxi Xie, Xiaopeng Zhang, X. Chen, Guo-Jun Qi, Q. Tian, and Hongkai Xiong · 2019
Later among the works it cites.
Bats: Binary architecture search
Adrian Bulat, B. Martínez, and Georgios Tzimiropoulos · 2020
Closest in time.
Binarized neural architecture search
Hanlin Chen, Li’an Zhuo, B. Zhang, Xiawu Zheng, J. Liu, D. Doermann, and Rongrong Ji · 2020
Closest in time.
Stabilizing differentiable architecture search via perturbation-based regularization
Xiangning Chen and Cho-Jui Hsieh · 2020
Closest in time.
Tf-nas: Rethinking three search freedoms of latency-constrained differentiable neural architecture search
Y. Hu, X. Wu, and R. He · 2020
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X. Chen, Lingxi Xie, J. Wu, and Q. Tian · 2019
Cited alongside, same era.
Hawq: Hessian aware quantization of neural networks with mixed-precision
Zhen Dong, Zhewei Yao, A. Gholami, M. Mahoney, and K. Keutzer · 2019
Cited alongside, same era.
Projection convolutional neural networks for 1-bit cnns via discrete back propagation
Jiaxin Gu, C. Li, B. Zhang, J. Han, Xianbin Cao, J. Liu, and D. Doermann · 2019
Cited alongside, same era.
Searching for accurate binary neural architectures
Mingzhu Shen, Kai Han, Chunjing Xu, and Yunhe Wang · 2019
Cited alongside, same era.
Mnasnet: Platform-aware neural architecture search for mobile
M. Tan, B. Chen, R. Pang, V. Vasudevan, M. Sandler, A. Howard, and Q. V. Le · 2019
Cited alongside, same era.
Fbnet: Hardware-aware efficient convnet design via differentiable neural architecture search
B. Wu, Xiaoliang Dai, P. Zhang, Y. Wang, Fei Sun, Yiming Wu, Yuandong Tian, P. Vajda, Y. Jia, and K. Keutzer · 2019
Cited alongside, same era.
Snas: Stochastic neural architecture search
S. Xie, H. Zheng, Chunxiao Liu, and L. Lin · 2019
Cited alongside, same era.
Closest in time.
Widening and squeezing: Towards accurate and efficient qnns
Chuanjian Liu, Kai Han, Yunhe Wang, H. Chen, Chunjing Xu, and Q. Tian · 2020
Closest in time.
Reactnet: Towards precise binary neural network with generalized activation functions
Z. Liu, Zhiqiang Shen, M. Savvides, and K. Cheng · 2020
Closest in time.
Mobinet: A mobile binary network for image classification
Hai Phan, D. Huynh, Yihui He, M. Savvides, and Zhiqiang Shen · 2020
Closest in time.
Binarizing mobilenet via evolution-based searching
H. Phan, Z. Liu, D. Huynh, M. Savvides, K. Cheng, and Zhiqiang Shen · 2020
Closest in time.
Forward and backward information retention for accurate binary neural networks
Haotong Qin, Ruihao Gong, Xianglong Liu, Mingzhu Shen, Ziran Wei, Fengwei Yu, and Jingkuan Song · 2020
Closest in time.
Learning architectures for binary networks
Kunal Pratap Singh, Dahyun Kim, and Jonghyun Choi · 2020
Closest in time.
Understanding and robustifying differentiable architecture search
Arber Zela, T. Elsken, Tonmoy Saikia, Yassine Marrakchi, T. Brox, and F. Hutter · 2020
Closest in time.