Searching for Accurate Binary Neural Architectures
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Abstract (arXiv)
Binary neural networks have attracted tremendous attention due to the efficiency for deploying them on mobile devices. Since the weak expression ability of binary weights and features, their accuracy is usually much lower than that of full-precision (i.e. 32-bit) models. Here we present a new frame work for automatically searching for compact but accurate binary neural networks. In practice, number of channels in each layer will be encoded into the search space and optimized using the evolutionary algorithm. Experiments conducted on benchmark datasets and neural architectures demonstrate that our searched binary networks can achieve the performance of full-precision models with acceptable increments on model sizes and calculations.
Key facts. Cited by 13 papers in the map (data through 7 Oct 2026). First posted on arXiv 16 Sep 2019.
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Citing papers per year: 2021: 7; 2022: 2; 2023: 2; 2024: 2.
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- 2021Pruning and Quantization for Deep Neural Network Acceleration: A Surveycited by 259
- 2021A comprehensive review of Binary Neural Networkcited by 44
- 2021"BNN - BN = ?": Training Binary Neural Networks without Batch Normalizationcited by 17
- 2022GhostNets on Heterogeneous Devices via Cheap Operationscited by 14
- 2021Enabling Binary Neural Network Training on the Edgecited by 11
- 2021GhostSR: Learning Ghost Features for Efficient Image Super-Resolutioncited by 8
- 2021BNAS v2: Learning Architectures for Binary Networks with Empirical Improvementscited by 3
- 2023Compacting Binary Neural Networks by Sparse Kernel Selectioncited by 3
- 2024The Binary Quantized Neural Network for Dense Prediction via Specially Designed Upsampling and Attentioncited by 3
- 2021Differentiable Architecture Pruning for Transfer Learningcited by 1
- 2022Design Automation for Fast, Lightweight, and Effective Deep Learning Models: A Surveycited by 1
- 2023TS-ENAS:Two-Stage Evolution for Cell-based Network Architecture Searchcited by 1
- 2024The Binary Quantized Neural Network for Dense Prediction via Specially Designed Upsampling and Attention28 May 2024
- 2024An Evolutionary Network Architecture Search Framework with Adaptive Multimodal Fusion for Hand Gesture Recognition27 Mar 2024
- 2023TS-ENAS:Two-Stage Evolution for Cell-based Network Architecture Search14 Oct 2023
- 2023Compacting Binary Neural Networks by Sparse Kernel Selection25 Mar 2023
- 2022Design Automation for Fast, Lightweight, and Effective Deep Learning Models: A Survey22 Aug 2022
- 2022GhostNets on Heterogeneous Devices via Cheap Operations10 Jan 2022
- 2021BNAS v2: Learning Architectures for Binary Networks with Empirical Improvements16 Oct 2021
- 2021A comprehensive review of Binary Neural Network11 Oct 2021
- 2021Differentiable Architecture Pruning for Transfer Learning7 Jul 2021
- 2021"BNN - BN = ?": Training Binary Neural Networks without Batch Normalization16 Apr 2021
- 2021Enabling Binary Neural Network Training on the Edge8 Feb 2021
- 2021Pruning and Quantization for Deep Neural Network Acceleration: A Survey24 Jan 2021
1 more
- 2021Pruning and Quantization for Deep Neural Network Acceleration: A Surveycited by 259
- 2021A comprehensive review of Binary Neural Networkcited by 44
- 2021"BNN - BN = ?": Training Binary Neural Networks without Batch Normalizationcited by 17
- 2022GhostNets on Heterogeneous Devices via Cheap Operationscited by 14
- 2021Enabling Binary Neural Network Training on the Edgecited by 11
- 2021GhostSR: Learning Ghost Features for Efficient Image Super-Resolutioncited by 8
- 2021BNAS v2: Learning Architectures for Binary Networks with Empirical Improvementscited by 3
- 2023Compacting Binary Neural Networks by Sparse Kernel Selectioncited by 3
- 2024The Binary Quantized Neural Network for Dense Prediction via Specially Designed Upsampling and Attentioncited by 3
- 2021Differentiable Architecture Pruning for Transfer Learningcited by 1
- 2022Design Automation for Fast, Lightweight, and Effective Deep Learning Models: A Surveycited by 1
- 2023TS-ENAS:Two-Stage Evolution for Cell-based Network Architecture Searchcited by 1
12 most cited of 13 All 13 (JSON)
- 2024The Binary Quantized Neural Network for Dense Prediction via Specially Designed Upsampling and Attention28 May 2024
- 2024An Evolutionary Network Architecture Search Framework with Adaptive Multimodal Fusion for Hand Gesture Recognition27 Mar 2024
- 2023TS-ENAS:Two-Stage Evolution for Cell-based Network Architecture Search14 Oct 2023
- 2023Compacting Binary Neural Networks by Sparse Kernel Selection25 Mar 2023
- 2022Design Automation for Fast, Lightweight, and Effective Deep Learning Models: A Survey22 Aug 2022
- 2022GhostNets on Heterogeneous Devices via Cheap Operations10 Jan 2022
- 2021BNAS v2: Learning Architectures for Binary Networks with Empirical Improvements16 Oct 2021
- 2021A comprehensive review of Binary Neural Network11 Oct 2021
- 2021Differentiable Architecture Pruning for Transfer Learning7 Jul 2021
- 2021"BNN - BN = ?": Training Binary Neural Networks without Batch Normalization16 Apr 2021
- 2021Enabling Binary Neural Network Training on the Edge8 Feb 2021
- 2021Pruning and Quantization for Deep Neural Network Acceleration: A Survey24 Jan 2021
12 newest of 13 All 13 (JSON)