Research

Papers for “imagenet”

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

Title	Authors	Year	Source
Deep learning analysis of breast MRIs for prediction of occult invasive disease in ductal carcinoma in situ	Zhe Zhu, Michael Harowicz, Jun Zhang	2017	arxiv 1711.10577
Mix-and-Match Tuning for Self-Supervised Semantic Segmentation	Xiaohang Zhan, Ziwei Liu, Ping Luo	2017	arxiv 1712.00661
Is PGD-Adversarial Training Necessary? Alternative Training via a Soft-Quantization Network with Noisy-Natural Samples Only	Tianhang Zheng, Changyou Chen, Kui Ren	2018	arxiv 1810.05665
Streaming Architecture for Large-Scale Quantized Neural Networks on an FPGA-Based Dataflow Platform	Chaim Baskin, Natan Liss, Evgenii Zheltonozhskii	2017	arxiv 1708.00052
HAWQ: Hessian AWare Quantization of Neural Networks with Mixed-Precision	Zhen Dong, Zhewei Yao, Amir Gholami	2019	arxiv 1905.03696
Once-for-All: Train One Network and Specialize it for Efficient Deployment	Han Cai, Chuang Gan, Tianzhe Wang	2019	arxiv 1908.09791
Perturbation Analysis of Gradient-based Adversarial Attacks	Utku Ozbulak, Manvel Gasparyan, Wesley De Neve	2020	arxiv 2006.01456
RandAugment: Practical automated data augmentation with a reduced search space	Ekin D. Cubuk, Barret Zoph, Jonathon Shlens	2019	arxiv 1909.13719
NoisyNN: Exploring the Impact of Information Entropy Change in Learning Systems	Xiaowei Yu, Zhe Huang, Minheng Chen	2023	arxiv 2309.10625
i-MAE: Are Latent Representations in Masked Autoencoders Linearly Separable?	Kevin Zhang, Zhiqiang Shen	2022	arxiv 2210.11470
Self-Supervised Relative Depth Learning for Urban Scene Understanding	Huaizu Jiang, Erik Learned-Miller, Gustav Larsson	2017	arxiv 1712.04850
Federated Class-Incremental Learning with Prompting	Xin Luo, Fang-Yi Liang, Jiale Liu	2023	arxiv 2310.08948
Clarifying Myths About the Relationship Between Shape Bias, Accuracy, and Robustness	Zahra Golpayegani, Patrick St-Amant, Nizar Bouguila	2024	arxiv 2406.05006
Leaving Reality to Imagination: Robust Classification via Generated Datasets	Hritik Bansal, Aditya Grover	2023	arxiv 2302.02503
Microbial Genetic Algorithm-based Black-box Attack against Interpretable Deep Learning Systems	Eldor Abdukhamidov, Mohammed Abuhamad, Simon S. Woo	2023	arxiv 2307.06496
Self-Supervised Masked Digital Elevation Models Encoding for Low-Resource Downstream Tasks	Priyam Mazumdar, Aiman Soliman, Volodymyr Kindratenko	2023	arxiv 2309.03367
DEYOv3: DETR with YOLO for Real-time Object Detection	Haodong Ouyang	2023	arxiv 2309.11851
Adversarial Score identity Distillation: Rapidly Surpassing the Teacher in One Step	Mingyuan Zhou, Huangjie Zheng, Yi Gu	2024	arxiv 2410.14919
CLIPure: Purification in Latent Space via CLIP for Adversarially Robust Zero-Shot Classification	Mingkun Zhang, Keping Bi, Wei Chen	2025	arxiv 2502.18176
Attention Spiking Neural Networks	Man Yao, Guangshe Zhao, Hengyu Zhang	2022	arxiv 2209.13929

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