SOTA2 Research · papers

Papers for “image classification”

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

Search results

20 indexed

Title	Authors	Year	Source
Significance-aware Information Bottleneck for Domain Adaptive Semantic Segmentation	Yawei Luo, Ping Liu, Tao Guan	2019	arxiv 1904.00876
Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search	Youhei Akimoto, Shinichi Shirakawa, Nozomu Yoshinari	2019	arxiv 1905.08537
Learning Representations of Graph Data -- A Survey	Mital Kinderkhedia	2019	arxiv 1906.02989
Split Batch Normalization: Improving Semi-Supervised Learning under Domain Shift	Micha\l Zając, Konrad Zolna, Stanis\law Jastrzębski	2019	arxiv 1904.03515
Task-Adaptive Incremental Learning for Intelligent Edge Devices	Zhuwei Qin, Fuxun Yu, Xiang Chen	2019	arxiv 1910.03122
The Functional Neural Process	Christos Louizos, Xiahan Shi, Klamer Schutte	2019	arxiv 1906.08324
Cost-efficient segmentation of electron microscopy images using active learning	Joris Roels, Yvan Saeys	2019	arxiv 1911.05548
Learnable Bernoulli Dropout for Bayesian Deep Learning	Shahin Boluki, Randy Ardywibowo, Siamak Zamani Dadaneh	2020	arxiv 2002.05155
Exploiting the Full Capacity of Deep Neural Networks while Avoiding Overfitting by Targeted Sparsity Regularization	Karim Huesmann, Soeren Klemm, Lars Linsen	2020	arxiv 2002.09237
Circumventing Outliers of AutoAugment with Knowledge Distillation	Longhui Wei, An Xiao, Lingxi Xie	2020	arxiv 2003.11342