Research

Papers for “imagenet”

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

Title	Authors	Year	Source
Towards Practical Certifiable Patch Defense with Vision Transformer	Zhaoyu Chen, Bo Li, Jianghe Xu	2022	arxiv 2203.08519
Maximizing Communication Efficiency for Large-scale Training via 0/1 Adam	Yucheng Lu, Conglong Li, Minjia Zhang	2022	arxiv 2202.06009
Dynamic DNNs Meet Runtime Resource Management on Mobile and Embedded Platforms	Lei Xun, Bashir M. Al-Hashimi, Jonathon Hare	2022	arxiv 2206.02525
Efficient and Transferable Adversarial Examples from Bayesian Neural Networks	Martin Gubri, Maxime Cordy, Mike Papadakis	2020	arxiv 2011.05074
Demystifying the Adversarial Robustness of Random Transformation Defenses	Chawin Sitawarin, Zachary Golan-Strieb, David Wagner	2022	arxiv 2207.03574
TinyViT: Fast Pretraining Distillation for Small Vision Transformers	Kan Wu, Jinnian Zhang, Houwen Peng	2022	arxiv 2207.10666
Towards Realistic Semi-Supervised Learning	Mamshad Nayeem Rizve, Navid Kardan, Mubarak Shah	2022	arxiv 2207.02269
Self-Supervised Learning for Invariant Representations from Multi-Spectral and SAR Images	Pallavi Jain, Bianca Schoen-Phelan, Robert Ross	2022	arxiv 2205.02049
Contrastive Learning of Medical Visual Representations from Paired Images and Text	Yuhao Zhang, Hang Jiang, Yasuhide Miura	2020	arxiv 2010.00747
Explicit Tradeoffs between Adversarial and Natural Distributional Robustness	Mazda Moayeri, Kiarash Banihashem, Soheil Feizi	2022	arxiv 2209.07592
Revisiting adapters with adversarial training	Sylvestre-Alvise Rebuffi, Francesco Croce, Sven Gowal	2022	arxiv 2210.04886
PROL : Rehearsal Free Continual Learning in Streaming Data via Prompt Online Learning	M. Anwar Ma'sum, Mahardhika Pratama, Savitha Ramasamy	2025	arxiv 2507.12305
SpaRTAN: Spatial Reinforcement Token-based Aggregation Network for Visual Recognition	Quan Bi Pay, Vishnu Monn Baskaran, Junn Yong Loo	2025	arxiv 2507.10999
ASiM: Modeling and Analyzing Inference Accuracy of SRAM-Based Analog CiM Circuits	Wenlun Zhang, Shimpei Ando, Yung-Chin Chen	2024	arxiv 2411.11022
VCMamba: Bridging Convolutions with Multi-Directional Mamba for Efficient Visual Representation	Mustafa Munir, Alex Zhang, Radu Marculescu	2025	arxiv 2509.04669
Large Pre-Training Datasets Don't Always Guarantee Robustness after Fine-Tuning	Jaedong Hwang, Brian Cheung, Zhang-Wei Hong	2024	arxiv 2410.21582
Gated Attention Coding for Training High-performance and Efficient Spiking Neural Networks	Xuerui Qiu, Rui-Jie Zhu, Yuhong Chou	2023	arxiv 2308.06582
Sampling to Distill: Knowledge Transfer from Open-World Data	Yuzheng Wang, Zhaoyu Chen, Jie Zhang	2023	arxiv 2307.16601
Momentum Auxiliary Network for Supervised Local Learning	Junhao Su, Changpeng Cai, Feiyu Zhu	2024	arxiv 2407.05623
Semi-weakly Supervised Contrastive Representation Learning for Retinal Fundus Images	Boon Peng Yap, Beng Koon Ng	2021	arxiv 2108.02122

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