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
Discriminative Active Learning	Daniel Gissin, Shai Shalev-Shwartz	2019	arxiv 1907.06347
Meta-learning algorithms for Few-Shot Computer Vision	Etienne Bennequin	2019	arxiv 1909.13579
Combined convolutional and recurrent neural networks for hierarchical classification of images	Jaehoon Koo, Diego Klabjan, Jean Utke	2018	arxiv 1809.09574
Saccader: Improving Accuracy of Hard Attention Models for Vision	Gamaleldin F. Elsayed, Simon Kornblith, Quoc V. Le	2019	arxiv 1908.07644
Understanding Architectures Learnt by Cell-based Neural Architecture Search	Yao Shu, Wei Wang, Shaofeng Cai	2019	arxiv 1909.09569
On Leave-One-Out Conditional Mutual Information For Generalization	Mohamad Rida Rammal, Alessandro Achille, Aditya Golatkar	2022	arxiv 2207.00581
CNN-based Local Vision Transformer for COVID-19 Diagnosis	Hongyan Xu, Xiu Su, Dadong Wang	2022	arxiv 2207.02027
Robust Contrastive Active Learning with Feature-guided Query Strategies	Ranganath Krishnan, Nilesh Ahuja, Alok Sinha	2021	arxiv 2109.06873
Effectiveness of Function Matching in Driving Scene Recognition	Shingo Yashima	2022	arxiv 2208.09694
Preserving Privacy in Federated Learning with Ensemble Cross-Domain Knowledge Distillation	Xuan Gong, Abhishek Sharma, Srikrishna Karanam	2022	arxiv 2209.04599
Stochastic Gradient Push for Distributed Deep Learning

Complex-valued reservoir computing for aspect classification and slope-angle estimation with low computational cost and high resolution in interferometric synthetic aperture radar	Bungo Konishi, Akira Hirose, Ryo Natsuaki	2021	arxiv 2104.11182