SOTA2 Research · papers

Papers for “imagenet”

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

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20 indexed

Title	Authors	Year	Source
Joint Post-Training Quantization of Vision Transformers with Learned Prompt-Guided Data Generation	Shile Li, Markus Karmann, Onay Urfalioglu	2026	arxiv 2602.18861
HiLLoC: Lossless Image Compression with Hierarchical Latent Variable Models	James Townsend, Thomas Bird, Julius Kunze	2019	arxiv 1912.09953
Assessing Intersectional Bias in Representations of Pre-Trained Image Recognition Models	Valerie Krug, Sebastian Stober	2025	arxiv 2506.03664
Study of positional encoding approaches for Audio Spectrogram Transformers	Leonardo Pepino, Pablo Riera, Luciana Ferrer	2021	arxiv 2110.06999
ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices	Xiangyu Zhang, Xinyu Zhou, Mengxiao Lin	2017	arxiv 1707.01083
Diversity Is All You Need for Contrastive Learning: Spectral Bounds on Gradient Magnitudes	Peter Ochieng	2025	arxiv 2510.05767
Dual Manifold Adversarial Robustness: Defense against Lp and non-Lp Adversarial Attacks	Wei-An Lin, Chun Pong Lau, Alexander Levine	2020	arxiv 2009.02470
Dataset Distillation via Curriculum Data Synthesis in Large Data Era	Zeyuan Yin, Zhiqiang Shen	2023	arxiv 2311.18838
How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks?	Wenxuan Li, Alan Yuille, Zongwei Zhou	2025	arxiv 2501.11253
Attributes Should Come from Images, Not Class Names: Distribution-Conditioned Attribute Selection for Vision-Language Models	Gautam Rajendrakumar Gare, Jia Shi, Zhiqiu Lin