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
TBD: Benchmarking and Analyzing Deep Neural Network Training	Hongyu Zhu, Mohamed Akrout, Bojian Zheng	2018	arxiv 1803.06905
Hu-Fu: Hardware and Software Collaborative Attack Framework against Neural Networks	Wenshuo Li, Jincheng Yu, Xuefei Ning	2018	arxiv 1805.05098
A Comprehensive guide to Bayesian Convolutional Neural Network with Variational Inference	Kumar Shridhar, Felix Laumann, Marcus Liwicki	2019	arxiv 1901.02731
Hierarchical Auxiliary Learning	Jaehoon Cha, Kyeong Soo Kim, Sanghyuk Lee	2019	arxiv 1906.00852
Neural Architecture Optimization	Renqian Luo, Fei Tian, Tao Qin	2018	arxiv 1808.07233
Learning Equivariant Representations	Carlos Esteves	2020	arxiv 2012.02771
A Hybrid GA-PSO Method for Evolving Architecture and Short Connections of Deep Convolutional Neural Networks	Bin Wang, Yanan Sun, Bing Xue	2019	arxiv 1903.03893
PUNCH: Positive UNlabelled Classification based information retrieval in Hyperspectral images	Anirban Santara, Jayeeta Datta, Sourav Sarkar	2019	arxiv 1904.04547
Machine Learning Techniques to Detect and Characterise Whistler Radio Waves	Othniel J.E.Y. Konan, Amit Kumar Mishra, Stefan Lotz	2020	arxiv 2002.01244
Distilling Ensemble of Explanations for Weakly-Supervised Pre-Training of Image Segmentation Models	Xuhong Li, Haoyi Xiong, Yi Liu	2022	arxiv 2207.03335