SOTA2 Research · papers

Papers for “image classification”

Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.

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20 indexed

Title	Authors	Year	Source
Shallow-Deep Networks: Understanding and Mitigating Network Overthinking	Yigitcan Kaya, Sanghyun Hong, Tudor Dumitras	2018	arxiv 1810.07052
On the Learning Dynamics of Two-layer Nonlinear Convolutional Neural Networks	Bing Yu, Junzhao Zhang, Zhanxing Zhu	2019	arxiv 1905.10157
Additive Noise Annealing and Approximation Properties of Quantized Neural Networks	Matteo Spallanzani, Lukas Cavigelli, Gian Paolo Leonardi	2019	arxiv 1905.10452
CompactNet: Platform-Aware Automatic Optimization for Convolutional Neural Networks	Weicheng Li, Rui Wang, Zhongzhi Luan	2019	arxiv 1905.11669
Toward Runtime-Throttleable Neural Networks	Jesse Hostetler	2019	arxiv 1905.13179
Multi-Precision Quantized Neural Networks via Encoding Decomposition of -1 and +1	Qigong Sun, Fanhua Shang, Kang Yang	2019	arxiv 1905.13389
Faster and Accurate Classification for JPEG2000 Compressed Images in Networked Applications	Lahiru D. Chamain, Zhi Ding	2019	arxiv 1909.05638
SegNAS3D: Network Architecture Search with Derivative-Free Global Optimization for 3D Image Segmentation	Ken C. L. Wong, Mehdi Moradi	2019	arxiv 1909.05962
Adapted and Oversegmenting Graphs: Application to Geometric Deep Learning	Alberto Gomez, Veronika A. Zimmer, Bishesh Khanal	2018	arxiv 1806.00411
Differential Privacy Has Disparate Impact on Model Accuracy	Eugene Bagdasaryan, Vitaly Shmatikov	2019	arxiv 1905.12101