Research

Papers for “imagenet”

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

Title	Authors	Year	Source
Towards Zero Rotation and Beyond: Architecting Neural Networks for Fast Secure Inference with Homomorphic Encryption	Yifei Cai, Yizhou Feng, Qiao Zhang	2026	arxiv 2601.21287
FOZO: Forward-Only Zeroth-Order Prompt Optimization for Test-Time Adaptation	Xingyu Wang, Tao Wang	2026	arxiv 2603.04733
When Does Sparse MoE Help in Vision? The Role of Backbone Compute Leverage in Sparse Routing	Libo Sun, Po-wei Harn, Peixiong He	2026	arxiv 2605.15484
ViTamin: Designing Scalable Vision Models in the Vision-Language Era	Jieneng Chen, Qihang Yu, Xiaohui Shen	2024	arxiv 2404.02132
Msmsfnet: a multi-stream and multi-scale fusion net for edge detection	Chenguang Liu, Chisheng Wang, Feifei Dong	2024	arxiv 2404.04856
Do Image Classifiers Generalize Across Time?	Vaishaal Shankar, Achal Dave, Rebecca Roelofs	2019	arxiv 1906.02168
Discrete Representations Strengthen Vision Transformer Robustness	Chengzhi Mao, Lu Jiang, Mostafa Dehghani	2021	arxiv 2111.10493
Optimizing Quantum Embedding using Genetic Algorithm for QML Applications	Koustubh Phalak, Archisman Ghosh, Swaroop Ghosh	2024	arxiv 2412.00286
Multi-task Self-Supervised Visual Learning	Carl Doersch, Andrew Zisserman	2017	arxiv 1708.07860
Simplifying, Stabilizing and Scaling Continuous-Time Consistency Models	Cheng Lu, Yang Song	2024	arxiv 2410.11081
Towards Robustness of Neural Networks	Steven Basart	2021	arxiv 2112.15188
Biologically-plausible learning algorithms can scale to large datasets	Will Xiao, Honglin Chen, Qianli Liao	2018	arxiv 1811.03567
MobileViTv3: Mobile-Friendly Vision Transformer with Simple and Effective Fusion of Local, Global and Input Features	Shakti N. Wadekar, Abhishek Chaurasia	2022	arxiv 2209.15159
Precision at Scale: Domain-Specific Datasets On-Demand	Jesús M Rodríguez-de-Vera, Imanol G Estepa, Ignacio Sarasúa	2024	arxiv 2407.03463
EMP-SSL: Towards Self-Supervised Learning in One Training Epoch	Shengbang Tong, Yubei Chen, Yi Ma	2023	arxiv 2304.03977
Leveraging the Third Dimension in Contrastive Learning	Sumukh Aithal, Anirudh Goyal, Alex Lamb	2023	arxiv 2301.11790
SATA: Spatial Autocorrelation Token Analysis for Enhancing the Robustness of Vision Transformers	Nick Nikzad, Yi Liao, Yongsheng Gao	2024	arxiv 2409.19850
Comparative Analysis of Lightweight CNNs for Resource-Constrained Devices: Predictive Performance, Efficiency Trade-offs, and Initialization Effects	Tasnim Shahriar	2025	arxiv 2505.03303
Deep Deterministic Uncertainty: A Simple Baseline	Jishnu Mukhoti, Andreas Kirsch, Joost van Amersfoort	2021	arxiv 2102.11582
Multi-task pre-training of deep neural networks for digital pathology	Romain Mormont, Pierre Geurts, Raphaël Marée	2020	arxiv 2005.02561

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