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
GLoMo: Unsupervisedly Learned Relational Graphs as Transferable Representations	Zhilin Yang, Jake Zhao, Bhuwan Dhingra	2018	arxiv 1806.05662
ConvNets and ImageNet Beyond Accuracy: Understanding Mistakes and Uncovering Biases	Pierre Stock, Moustapha Cisse	2017	arxiv 1711.11443
Playing the Game of Universal Adversarial Perturbations	Julien Perolat, Mateusz Malinowski, Bilal Piot	2018	arxiv 1809.07802
Convolutional Neural Networks and x-vector Embedding for DCASE2018 Acoustic Scene Classification Challenge	Hossein Zeinali, Lukas Burget, Jan Cernocky	2018	arxiv 1810.04273
Cryo-Electron Microscopy Image Analysis Using Multi-Frequency Vector Diffusion Maps	Yifeng Fan, Zhizhen Zhao	2019	arxiv 1904.07772
Confidence-weighted integration of human and machine judgments for superior decision-making	Felipe Yáñez, Xiaoliang Luo, Omar Valerio Minero	2024	arxiv 2408.08083
CMA Light: a novel Minibatch Algorithm for large-scale non convex finite sum optimization	Corrado Coppola, Giampaolo Liuzzi, Laura Palagi	2023	arxiv 2307.15775
Universal methods for variational inequalities: deterministic and stochastic cases	Anton Klimza, Alexander Gasnikov, Fedor Stonyakin	2024	arxiv 2407.17519
Estimation of Over-parameterized Models from an Auto-Modeling Perspective	Yiran Jiang, Chuanhai Liu	2022	arxiv 2206.01824
Physics-AI Symbiosis	Bahram Jalali, Achuta Kadambi, Vwani Roychowdhury	2021

Automating Defense Against Adversarial Attacks: Discovery of Vulnerabilities and Application of Multi-INT Imagery to Protect Deployed Models	Josh Kalin, David Noever, Matthew Ciolino	2021	arxiv 2103.15897