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
AutoGAN: Neural Architecture Search for Generative Adversarial Networks	Xinyu Gong, Shiyu Chang, Yifan Jiang	2019	arxiv 1908.03835
Learning Continually from Low-shot Data Stream	Canyu Le, Xihan Wei, Biao Wang	2019	arxiv 1908.10223
What Happens on the Edge, Stays on the Edge: Toward Compressive Deep Learning	Yang Li, Thomas Strohmer	2019	arxiv 1909.01539
Metric-Based Few-Shot Learning for Video Action Recognition	Chris Careaga, Brian Hutchinson, Nathan Hodas	2019	arxiv 1909.09602
DIANet: Dense-and-Implicit Attention Network	Zhongzhan Huang, Senwei Liang, Mingfu Liang	2019	arxiv 1905.10671
Timage -- A Robust Time Series Classification Pipeline	Marc Wenninger, Sebastian P. Bayerl, Jochen Schmidt	2019	arxiv 1909.09149
Bivariate Beta-LSTM	Kyungwoo Song, JoonHo Jang, Seung jae Shin	2019	arxiv 1905.10521
Unsupervised Learning of Object Keypoints for Perception and Control	Tejas Kulkarni, Ankush Gupta, Catalin Ionescu	2019	arxiv 1906.11883
Towards Oracle Knowledge Distillation with Neural Architecture Search	Minsoo Kang, Jonghwan Mun, Bohyung Han	2019	arxiv 1911.13019
Enhancing Cross-task Black-Box Transferability of Adversarial Examples with Dispersion Reduction	Yantao Lu, Yunhan Jia, Jianyu Wang	2019	arxiv 1911.11616
AdaFilter: Adaptive Filter Fine-tuning for Deep Transfer Learning