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
Negative Log Likelihood Ratio Loss for Deep Neural Network Classification	Donglai Zhu, Hengshuai Yao, Bei Jiang	2018	arxiv 1804.10690
Policy-Based Federated Learning	Kleomenis Katevas, Eugene Bagdasaryan, Jason Waterman	2020	arxiv 2003.06612
Explore the Power of Dropout on Few-shot Learning	Shaobo Lin, Xingyu Zeng, Rui Zhao	2023	arxiv 2301.11015
Mimicking Ensemble Learning with Deep Branched Networks	Byungju Kim, Youngsoo Kim, Yeakang Lee	2017	arxiv 1702.06376
Triad State Space Construction for Chaotic Signal Classification with Deep Learning	Yadong Zhang, Xin Chen	2020	arxiv 2003.11931
Introduction to Predictive Coding Networks for Machine Learning	Mikko Stenlund	2025	arxiv 2506.06332
Towards Robust Feature Learning with t-vFM Similarity for Continual Learning	Bilan Gao, YoungBin Kim	2023	arxiv 2306.02335
Ontology-guided Semantic Composition for Zero-Shot Learning	Jiaoyan Chen, Freddy Lecue, Yuxia Geng	2020	arxiv 2006.16917
Using Neural Architecture Search for Improving Software Flaw Detection in Multimodal Deep Learning Models	Alexis Cooper, Xin Zhou, Scott Heidbrink	2020	arxiv 2009.10644
A Survey on Deep Learning in Medical Image Analysis	Geert Litjens, Thijs Kooi, Babak Ehteshami Bejnordi	2017	arxiv 1702.05747
Stochastic Gradient Methods with Layer-wise Adaptive Moments for Training of Deep Networks