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
Supervised learning of sheared distributions using linearized optimal transport	Varun Khurana, Harish Kannan, Alexander Cloninger	2022	arxiv 2201.10590
Lipsum-FT: Robust Fine-Tuning of Zero-Shot Models Using Random Text Guidance	Giung Nam, Byeongho Heo, Juho Lee	2024	arxiv 2404.00860
Do the Frankenstein, or how to achieve better out-of-distribution performance with manifold mixing model soup	Hannes Fassold	2023	arxiv 2309.08610
Explaining Neural Networks by Decoding Layer Activations	Johannes Schneider, Michalis Vlachos	2020	arxiv 2005.13630
Learning Decision Trees Recurrently Through Communication	Stephan Alaniz, Diego Marcos, Bernt Schiele	2019	arxiv 1902.01780
Simple Open-Vocabulary Object Detection with Vision Transformers	Matthias Minderer, Alexey Gritsenko, Austin Stone	2022	arxiv 2205.06230
Truly shift-equivariant convolutional neural networks with adaptive polyphase upsampling	Anadi Chaman, Ivan Dokmanić	2021	arxiv 2105.04040
Tradeoffs Between Contrastive and Supervised Learning: An Empirical Study	Ananya Karthik, Mike Wu, Noah Goodman	2021	arxiv 2112.05340
Latent Discriminant deterministic Uncertainty	Gianni Franchi, Xuanlong Yu, Andrei Bursuc	2022	arxiv 2207.10130
Convolutional Neural Network Compression through Generalized Kronecker Product Decomposition	Marawan Gamal Abdel Hameed, Marzieh S. Tahaei, Ali Mosleh	2021	arxiv 2109.14710