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
Training Group Orthogonal Neural Networks with Privileged Information	Yunpeng Chen, Xiaojie Jin, Jiashi Feng	2017	arxiv 1701.06772
Few-shot Autoregressive Density Estimation: Towards Learning to Learn Distributions	Scott Reed, Yutian Chen, Thomas Paine	2017	arxiv 1710.10304
Efficient Embedding of MPI Collectives in MXNET DAGs for scaling Deep Learning	Amith R Mamidala	2018	arxiv 1802.06949
Structured Probabilistic Pruning for Convolutional Neural Network Acceleration	Huan Wang, Qiming Zhang, Yuehai Wang	2017	arxiv 1709.06994
A Hitchhiker's Guide On Distributed Training of Deep Neural Networks	Karanbir Chahal, Manraj Singh Grover, Kuntal Dey	2018	arxiv 1810.11787
Self-supervised Pretraining of Visual Features in the Wild	Priya Goyal, Mathilde Caron, Benjamin Lefaudeux	2021	arxiv 2103.01988
Mnemonics Training: Multi-Class Incremental Learning without Forgetting	Yaoyao Liu, Yuting Su, An-An Liu	2020	arxiv 2002.10211
Scene Image Representation by Foreground, Background and Hybrid Features	Chiranjibi Sitaula, Yong Xiang, Sunil Aryal	2020	arxiv 2006.03199
Emerging Properties in Self-Supervised Vision Transformers	Mathilde Caron, Hugo Touvron, Ishan Misra	2021	arxiv 2104.14294
Revisiting Mixout: An Overlooked Path to Robust Finetuning	Masih Aminbeidokhti, Heitor Rapela Medeiros, Eric Granger	2025	arxiv 2510.06982