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
Quantum-Enhanced Parameter-Efficient Learning for Typhoon Trajectory Forecasting	Chen-Yu Liu, Kuan-Cheng Chen, Yi-Chien Chen	2025	arxiv 2505.09395
The inherent convolution property of quantum neural networks	Guangkai Qu, Zhimin Wang, Guoqiang Zhong	2025	arxiv 2504.08487
An Efficient Quantum Classifier Based on Hamiltonian Representations	Federico Tiblias, Anna Schroeder, Yue Zhang	2025	arxiv 2504.10542
Subspace Preserving Quantum Convolutional Neural Network Architectures	Léo Monbroussou, Jonas Landman, Letao Wang	2024	arxiv 2409.18918
Energy-entropy competition and the effectiveness of stochastic gradient descent in machine learning	Yao Zhang, Andrew M. Saxe, Madhu S. Advani	2018	arxiv 1803.01927
GAN-based Priors for Quantifying Uncertainty	Dhruv V. Patel, Assad A. Oberai	2020	arxiv 2003.12597
Separation and Concentration in Deep Networks	John Zarka, Florentin Guth, Stéphane Mallat	2020	arxiv 2012.10424
ECINN: Efficient Counterfactuals from Invertible Neural Networks	Frederik Hvilsh\oj, Alexandros Iosifidis, Ira Assent	2021	arxiv 2103.13701
LiftPool: Bidirectional ConvNet Pooling	Jiaojiao Zhao, Cees G.M. Snoek	2021	arxiv 2104.00996
ViT-V-Net: Vision Transformer for Unsupervised Volumetric Medical Image Registration	Junyu Chen, Yufan He, Eric C. Frey	2021	arxiv 2104.06468
Multiscale Vision Transformers