Research

Papers for “imagenet”

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

Title	Authors	Year	Source
Masked Autoencoders Enable Efficient Knowledge Distillers	Yutong Bai, Zeyu Wang, Junfei Xiao	2022	arxiv 2208.12256
EAT-NAS: Elastic Architecture Transfer for Accelerating Large-scale Neural Architecture Search	Jiemin Fang, Yukang Chen, Xinbang Zhang	2019	arxiv 1901.05884
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features	Sangdoo Yun, Dongyoon Han, Seong Joon Oh	2019	arxiv 1905.04899
Improved Residual Networks for Image and Video Recognition	Ionut Cosmin Duta, Li Liu, Fan Zhu	2020	arxiv 2004.04989
Generative Collaborative Networks for Single Image Super-Resolution	Mohamed El Amine Seddik, Mohamed Tamaazousti, John Lin	2019	arxiv 1902.10467
AutoAugment: Learning Augmentation Policies from Data	Ekin D. Cubuk, Barret Zoph, Dandelion Mane	2018	arxiv 1805.09501
Improved skin lesion recognition by a Self-Supervised Curricular Deep Learning approach	Kirill Sirotkin, Marcos Escudero-Viñolo, Pablo Carballeira	2021	arxiv 2112.12086
Robustifying Vision Transformer without Retraining from Scratch by Test-Time Class-Conditional Feature Alignment	Takeshi Kojima, Yutaka Matsuo, Yusuke Iwasawa	2022	arxiv 2206.13951
LLC: Accurate, Multi-purpose Learnt Low-dimensional Binary Codes	Aditya Kusupati, Matthew Wallingford, Vivek Ramanujan	2021	arxiv 2106.01487
Characterizing and Improving the Robustness of Self-Supervised Learning through Background Augmentations	Chaitanya K. Ryali, David J. Schwab, Ari S. Morcos	2021	arxiv 2103.12719
Spatial encoding of BOLD fMRI time series for categorizing static images across visual datasets: A pilot study on human vision	Vamshi K. Kancharala, Debanjali Bhattacharya, Neelam Sinha	2023	arxiv 2309.03590
Dep-$L_0$: Improving $L_0$-based Network Sparsification via Dependency Modeling	Yang Li, Shihao Ji	2021	arxiv 2107.00070
A simple, efficient and scalable contrastive masked autoencoder for learning visual representations	Shlok Mishra, Joshua Robinson, Huiwen Chang	2022	arxiv 2210.16870
GenAttack: Practical Black-box Attacks with Gradient-Free Optimization	Moustafa Alzantot, Yash Sharma, Supriyo Chakraborty	2018	arxiv 1805.11090
Enhancing Network Initialization for Medical AI Models Using Large-Scale, Unlabeled Natural Images	Soroosh Tayebi Arasteh, Leo Misera, Jakob Nikolas Kather	2023	arxiv 2308.07688
Effective pruning of web-scale datasets based on complexity of concept clusters	Amro Abbas, Evgenia Rusak, Kushal Tirumala	2024	arxiv 2401.04578
Boosting Federated Domain Generalization: Understanding the Role of Advanced Pre-Trained Architectures	Avi Deb Raha, Apurba Adhikary, Mrityunjoy Gain	2024	arxiv 2409.13527
Unlearn and Burn: Adversarial Machine Unlearning Requests Destroy Model Accuracy	Yangsibo Huang, Daogao Liu, Lynn Chua	2024	arxiv 2410.09591
Speeding Up Image Classifiers with Little Companions	Yang Liu, Kowshik Thopalli, Jayaraman Thiagarajan	2024	arxiv 2406.17117
DataDAM: Efficient Dataset Distillation with Attention Matching	Ahmad Sajedi, Samir Khaki, Ehsan Amjadian	2023	arxiv 2310.00093

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