Research

Papers for “image classification”

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

Title	Authors	Year	Source
Analyzing Classifiers: Fisher Vectors and Deep Neural Networks	Sebastian Bach, Alexander Binder, Grégoire Montavon	2015	arxiv 1512.00172
Geometric Neural Phrase Pooling: Modeling the Spatial Co-occurrence of Neurons	Lingxi Xie, Qi Tian, John Flynn	2016	arxiv 1607.06514
Transfer Learning for Melanoma Detection: Participation in ISIC 2017 Skin Lesion Classification Challenge	Dennis H. Murphree, Che Ngufor	2017	arxiv 1703.05235
DeepSetNet: Predicting Sets with Deep Neural Networks	S. Hamid Rezatofighi, Vijay Kumar B G, Anton Milan	2016	arxiv 1611.08998
Enhancing the Performance of Convolutional Neural Networks on Quality Degraded Datasets	Jonghwa Yim, Kyung-Ah Sohn	2017	arxiv 1710.06805
Enhancing Neural Training via a Correlated Dynamics Model	Jonathan Brokman, Roy Betser, Rotem Turjeman	2023	arxiv 2312.13247
A gradient system based on anisotropic monochrome image processing with orientation auto-adjustment	Harbir Antil, Daiki Mizuno, Ken Shirakawa	2024	arxiv 2408.12847
Bayesian Optimization for Hyperparameters Tuning in Neural Networks	Gabriele Onorato	2024	arxiv 2410.21886
Remove that Square Root: A New Efficient Scale-Invariant Version of AdaGrad	Sayantan Choudhury, Nazarii Tupitsa, Nicolas Loizou	2024	arxiv 2403.02648
Be Careful What You Backpropagate: A Case For Linear Output Activations & Gradient Boosting	Anders Oland, Aayush Bansal, Roger B. Dannenberg	2017	arxiv 1707.04199
Discriminative k-shot learning using probabilistic models	Matthias Bauer, Mateo Rojas-Carulla, Jakub Bart\lomiej Świątkowski	2017	arxiv 1706.00326
MLtuner: System Support for Automatic Machine Learning Tuning	Henggang Cui, Gregory R. Ganger, Phillip B. Gibbons	2018	arxiv 1803.07445
Knowledge Transfer for Melanoma Screening with Deep Learning	Afonso Menegola, Michel Fornaciali, Ramon Pires	2017	arxiv 1703.07479
Ordinal Pooling Networks: For Preserving Information over Shrinking Feature Maps	Ashwani Kumar	2018	arxiv 1804.02702
Energy Efficient Hadamard Neural Networks	T. Ceren Deveci, Serdar Cakir, A. Enis Cetin	2018	arxiv 1805.05421
Adversarial Examples in Remote Sensing	Wojciech Czaja, Neil Fendley, Michael Pekala	2018	arxiv 1805.10997
Factorized Adversarial Networks for Unsupervised Domain Adaptation	Jian Ren, Jianchao Yang, Ning Xu	2018	arxiv 1806.01376
Maximally Invariant Data Perturbation as Explanation	Satoshi Hara, Kouichi Ikeno, Tasuku Soma	2018	arxiv 1806.07004
Symbolic Execution for Deep Neural Networks	Divya Gopinath, Kaiyuan Wang, Mengshi Zhang	2018	arxiv 1807.10439
How do Convolutional Neural Networks Learn Design?	Shailza Jolly, Brian Kenji Iwana, Ryohei Kuroki	2018	arxiv 1808.08402

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