Research

Papers for “imagenet”

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

Title	Authors	Year	Source
Rethinking Query-Key Pairwise Interactions in Vision Transformers	Cheng Li, Yangxin Liu	2022	arxiv 2207.00188
Anomaly Detection in Image Datasets Using Convolutional Neural Networks, Center Loss, and Mahalanobis Distance	Garnik Vareldzhan, Kirill Yurkov, Konstantin Ushenin	2021	arxiv 2104.06193
DSPNet: Towards Slimmable Pretrained Networks based on Discriminative Self-supervised Learning	Shaoru Wang, Zeming Li, Jin Gao	2022	arxiv 2207.06075
DynaMarks: Defending Against Deep Learning Model Extraction Using Dynamic Watermarking	Abhishek Chakraborty, Daniel Xing, Yuntao Liu	2022	arxiv 2207.13321
PatchZero: Defending against Adversarial Patch Attacks by Detecting and Zeroing the Patch	Ke Xu, Yao Xiao, Zhaoheng Zheng	2022	arxiv 2207.01795
A Closer Look at Hardware-Friendly Weight Quantization	Sungmin Bae, Piotr Zielinski, Satrajit Chatterjee	2022	arxiv 2210.03671
Peripheral Vision Transformer	Juhong Min, Yucheng Zhao, Chong Luo	2022	arxiv 2206.06801
Exploring Long-Sequence Masked Autoencoders	Ronghang Hu, Shoubhik Debnath, Saining Xie	2022	arxiv 2210.07224
Elucidating the Design Space of Diffusion-Based Generative Models	Tero Karras, Miika Aittala, Timo Aila	2022	arxiv 2206.00364
Differentiable Model Compression via Pseudo Quantization Noise	Alexandre Défossez, Yossi Adi, Gabriel Synnaeve	2021	arxiv 2104.09987
Interpolatron: Interpolation or Extrapolation Schemes to Accelerate Optimization for Deep Neural Networks	Guangzeng Xie, Yitan Wang, Shuchang Zhou	2018	arxiv 1805.06753
An Adaptive Remote Stochastic Gradient Method for Training Neural Networks	Yushu Chen, Hao Jing, Wenlai Zhao	2019	arxiv 1905.01422
Lossy Compression with Gaussian Diffusion	Lucas Theis, Tim Salimans, Matthew D. Hoffman	2022	arxiv 2206.08889
Towards Large Certified Radius in Randomized Smoothing using Quasiconcave Optimization	Bo-Han Kung, Shang-Tse Chen	2023	arxiv 2302.00209
SEMA: a Scalable and Efficient Mamba like Attention via Token Localization and Averaging	Nhat Thanh Tran, Fanghui Xue, Shuai Zhang	2025	arxiv 2506.08297
D2R: dual regularization loss with collaborative adversarial generation for model robustness	Zhenyu Liu, Huizhi Liang, Rajiv Ranjan	2025	arxiv 2506.07056
HomographyAD: Deep Anomaly Detection Using Self Homography Learning	Jongyub Seok, Chanjin Kang	2025	arxiv 2506.08784
A Rescaling-Invariant Lipschitz Bound Based on Path-Metrics for Modern ReLU Network Parameterizations	Antoine Gonon, Nicolas Brisebarre, Elisa Riccietti	2024	arxiv 2405.15006
Scaling Probabilistic Circuits via Monarch Matrices	Honghua Zhang, Meihua Dang, Benjie Wang	2025	arxiv 2506.12383
Out-of-Distribution Detection with Adaptive Top-K Logits Integration	Hikaru Shijo, Yutaka Yoshihama, Kenichi Yadani	2025	arxiv 2507.00368

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