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Papers for “image classification”

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

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TitleAuthorsYearSource
Significance-aware Information Bottleneck for Domain Adaptive Semantic SegmentationYawei Luo, Ping Liu, Tao Guan2019arxiv 1904.00876
Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture SearchYouhei Akimoto, Shinichi Shirakawa, Nozomu Yoshinari2019arxiv 1905.08537
Learning Representations of Graph Data -- A SurveyMital Kinderkhedia2019arxiv 1906.02989
Split Batch Normalization: Improving Semi-Supervised Learning under Domain ShiftMicha\l Zając, Konrad Zolna, Stanis\law Jastrzębski2019arxiv 1904.03515
Task-Adaptive Incremental Learning for Intelligent Edge DevicesZhuwei Qin, Fuxun Yu, Xiang Chen2019arxiv 1910.03122
The Functional Neural ProcessChristos Louizos, Xiahan Shi, Klamer Schutte2019arxiv 1906.08324
Cost-efficient segmentation of electron microscopy images using active learningJoris Roels, Yvan Saeys2019arxiv 1911.05548
Learnable Bernoulli Dropout for Bayesian Deep LearningShahin Boluki, Randy Ardywibowo, Siamak Zamani Dadaneh2020arxiv 2002.05155
Exploiting the Full Capacity of Deep Neural Networks while Avoiding Overfitting by Targeted Sparsity RegularizationKarim Huesmann, Soeren Klemm, Lars Linsen2020arxiv 2002.09237
Circumventing Outliers of AutoAugment with Knowledge DistillationLonghui Wei, An Xiao, Lingxi Xie2020arxiv 2003.11342
Gated Channel Transformation for Visual RecognitionZongxin Yang, Linchao Zhu, Yu Wu2019arxiv 1909.11519
Cross-Modality Attention with Semantic Graph Embedding for Multi-Label ClassificationRenchun You, Zhiyao Guo, Lei Cui2019arxiv 1912.07872
SGAS: Sequential Greedy Architecture SearchGuohao Li, Guocheng Qian, Itzel C. Delgadillo2019arxiv 1912.00195
Controllable Orthogonalization in Training DNNsLei Huang, Li Liu, Fan Zhu2020arxiv 2004.00917
Applications of the Streaming NetworksSergey Tarasenko, Fumihiko Takahashi2020arxiv 2004.11805
Near-Optimal Glimpse Sequences for Improved Hard Attention Neural Network TrainingWilliam Harvey, Michael Teng, Frank Wood2019arxiv 1906.05462
Bespoke vs. Pr\^et-\`a-Porter Lottery Tickets: Exploiting Mask Similarity for Trainable Sub-Network FindingMichela Paganini, Jessica Zosa Forde2020arxiv 2007.04091
Adversarial Continual LearningSayna Ebrahimi, Franziska Meier, Roberto Calandra2020arxiv 2003.09553
Shape Adaptor: A Learnable Resizing ModuleShikun Liu, Zhe Lin, Yilin Wang2020arxiv 2008.00892
Developing a Recommendation Benchmark for MLPerf Training and InferenceCarole-Jean Wu, Robin Burke, Ed H. Chi2020arxiv 2003.07336